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Major commit, see changelog in JOpt-Notes.txt

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This commit is contained in:
Marcel Kronfeld 2008-02-26 17:31:52 +00:00
parent 260d6e89ae
commit 3a18cedcc6
96 changed files with 4543 additions and 2905 deletions
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1
.classpath
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@ -2,5 +2,6 @@
<classpath>
<classpathentry kind="src" path="src"/>
<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER"/>
<classpathentry kind="lib" path="/nfs/wsi/i386_sl4/matlab/java/jar/jmi.jar"/>
<classpathentry kind="output" path="build"/>
</classpath>

13
resources/ConvergenceTerminator.html
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@ -1,13 +0,0 @@
<html>
<head>
<title>Convergence Terminator</title>
</head>
<body>
<h1 align="center">Convergence Terminator</h1>
<center>
</center><br>
The convergence terminator stops the optimization, when there has been hardly
any change in the best population fitness (within percentual range) for a certain
time, given in generations or fitness calls.
</body>
</html>

16
resources/FitnessConvergenceTerminator.html Normal file
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@ -0,0 +1,16 @@
<html>
<head>
<title>Fitness Convergence Terminator</title>
</head>
<body>
<h1 align="center">Fitness Convergence Terminator</h1>
<center>
</center><br>
The fitness convergence terminator stops the optimization, when there has been hardly
any change in the best population fitness (within percentual or absolute distance) for a certain
time, given in generations or fitness calls.<br>
Be aware that, if the optimization is allowed to be non-monotonic, such as for (,)-ES strategies,
and if the optimum is close to zero, it may happen that the fitness fluctuates due to numeric
issues and does not easily converge in a relative measure.
</body>
</html>

15
resources/PhenotypeConvergenceTerminator.html Normal file
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@ -0,0 +1,15 @@
<html>
<head>
<title>Phenotype Convergence Terminator</title>
</head>
<body>
<h1 align="center">Phenotype Convergence Terminator</h1>
<center>
</center><br>
The phenotype convergence terminator stops the optimization, when there has been hardly
any change in the best population individual (within percentual or absolute distance) for a certain
time span, given in generations or fitness calls.<br>
Be aware that, if the optimum individual is close to zero, it may happen that its phenotype values
fluctuate due to numeric issues and do not easily converge in a relative measure.
</body>
</html>

230
src/javaeva/OptimizerFactory.java Normal file
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@ -0,0 +1,230 @@
package javaeva;
import javaeva.gui.BeanInspector;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.individuals.InterfaceESIndividual;
import javaeva.server.go.operators.crossover.CrossoverESDefault;
import javaeva.server.go.operators.mutation.MutateESCovarianceMartixAdaption;
import javaeva.server.go.operators.mutation.MutateESDefault;
import javaeva.server.go.operators.mutation.MutateESGlobal;
import javaeva.server.go.operators.terminators.CombinedTerminator;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
import javaeva.server.go.problems.AbstractOptimizationProblem;
import javaeva.server.go.strategies.DifferentialEvolution;
import javaeva.server.go.strategies.EvolutionStrategies;
import javaeva.server.go.strategies.GeneticAlgorithm;
import javaeva.server.go.strategies.InterfaceOptimizer;
import javaeva.server.go.strategies.ParticleSwarmOptimization;
import javaeva.server.go.strategies.Tribes;
import javaeva.server.modules.GOParameters;
/**
* The OptimizerFactory allows quickly creating some optimizers without thinking much
* about parameters. You can access a runnable Optimization thread and directly start it,
* or access its fully prepared GOParameter instance, change some parameters, and start it then.
*
* @author mkron
*
*/
public class OptimizerFactory {
private static InterfaceTerminator term = null;
public final static int STD_ES = 1;
public final static int CMA_ES = 2;
public final static int STD_GA = 3;
public final static int PSO = 4;
public final static int DE = 5;
public final static int TRIBES = 6;
public final static int defaultFitCalls = 10000;
public final static int randSeed = 0;
/**
* Return a simple String showing the accessible optimizers. For external access."
*
* @return a String listing the accessible optimizers
*/
public static String showOptimizers() {
return "1: Standard ES; 2: CMA-ES; 3: GA; 4: PSO; 5: DE; 6: Tribes";
}
/**
* The default Terminator finishes after n fitness calls, the default n is returned here.
* @return the default number of fitness call done before termination
*/
public static int getDefaultFitCalls() {
return defaultFitCalls;
}
/**
* Create a runnable optimization Runnable and directly start it in an own thread. The Runnable
* will notify waiting threads and set the isFinished flag when the optimization is complete.
* If the optType is invalid, null will be returned.
*
* @param optType
* @param problem
* @param outputFilePrefix
* @return
*/
public static OptimizerRunnable optimizeInThread(final int optType, AbstractOptimizationProblem problem, String outputFilePrefix) {
OptimizerRunnable runnable = getOptRunnable(optType, problem, outputFilePrefix);
if (runnable != null) new Thread(runnable).start();
return runnable;
}
// TODO hier weiter kommentieren
public static IndividualInterface optimize(final int optType, AbstractOptimizationProblem problem, String outputFilePrefix) {
OptimizerRunnable runnable = getOptRunnable(optType, problem, outputFilePrefix);
if (runnable != null) {
new Thread(runnable).run();
return runnable.getSolution();
} else return null;
}
public static OptimizerRunnable getOptRunnable(final int optType, AbstractOptimizationProblem problem, String outputFilePrefix) {
switch (optType) {
case STD_ES:
return new OptimizerRunnable(standardES(problem), outputFilePrefix);
case CMA_ES:
return new OptimizerRunnable(cmaES(problem), outputFilePrefix);
case STD_GA:
return new OptimizerRunnable(standardGA(problem), outputFilePrefix);
case PSO:
return new OptimizerRunnable(standardPSO(problem), outputFilePrefix);
case DE:
return new OptimizerRunnable(standardDE(problem), outputFilePrefix);
case TRIBES:
return new OptimizerRunnable(tribes(problem), outputFilePrefix);
}
System.err.println("Error: optimizer type " + optType + " is unknown!");
return null;
}
public static InterfaceTerminator defaultTerminator() {
if (term == null) term = new EvaluationTerminator(defaultFitCalls);
return term;
}
public static void setTerminator(InterfaceTerminator term) {
OptimizerFactory.term = term;
}
public static InterfaceTerminator getTerminator() {
return OptimizerFactory.term;
}
/**
* Add an InterfaceTerminator to any new optimizer in a boolean combination. The old and the given
* terminator will be combined as in (TOld && TNew) if bAnd is true, and as in (TOld || TNew) if bAnd
* is false.
* @param newTerm a new InterfaceTerminator instance
* @param bAnd indicate the boolean combination
*/
public static void addTerminator(InterfaceTerminator newTerm, boolean bAnd) {
if (OptimizerFactory.term == null) OptimizerFactory.term = term;
else setTerminator(new CombinedTerminator(OptimizerFactory.term, newTerm, bAnd));
}
public static GOParameters makeParams(InterfaceOptimizer opt, Population pop, AbstractOptimizationProblem problem, long seed, InterfaceTerminator term) {
GOParameters params = new GOParameters();
params.setProblem(problem);
opt.SetProblem(problem);
opt.setPopulation(pop);
params.setOptimizer(opt);
params.setTerminator(term);
params.setSeed(seed);
return params;
}
public static GOParameters standardES(AbstractOptimizationProblem problem) {
EvolutionStrategies es = new EvolutionStrategies();
es.setMyu(15);
es.setLambda(50);
es.setPlusStrategy(false);
Object maybeTemplate = BeanInspector.callIfAvailable(problem, "getEAIndividual", null);
if ((maybeTemplate != null) && (maybeTemplate instanceof InterfaceESIndividual)) {
// Set CMA operator for mutation
AbstractEAIndividual indy = (AbstractEAIndividual)maybeTemplate;
indy.setMutationOperator(new MutateESGlobal());
indy.setCrossoverOperator(new CrossoverESDefault());
} else {
System.err.println("Error, standard ES is implemented for ES individuals only (requires double data types)");
return null;
}
Population pop = new Population();
pop.setPopulationSize(es.getLambda());
return makeParams(es, pop, problem, randSeed, defaultTerminator());
}
public static GOParameters cmaES(AbstractOptimizationProblem problem) {
EvolutionStrategies es = new EvolutionStrategies();
es.setMyu(15);
es.setLambda(50);
es.setPlusStrategy(false);
Object maybeTemplate = BeanInspector.callIfAvailable(problem, "getEAIndividual", null);
if ((maybeTemplate != null) && (maybeTemplate instanceof InterfaceESIndividual)) {
// Set CMA operator for mutation
AbstractEAIndividual indy = (AbstractEAIndividual)maybeTemplate;
MutateESCovarianceMartixAdaption cmaMut = new MutateESCovarianceMartixAdaption();
cmaMut.setCheckConstraints(true);
indy.setMutationOperator(cmaMut);
indy.setCrossoverOperator(new CrossoverESDefault());
} else {
System.err.println("Error, CMA-ES is implemented for ES individuals only (requires double data types)");
return null;
}
Population pop = new Population();
pop.setPopulationSize(es.getLambda());
return makeParams(es, pop, problem, randSeed, defaultTerminator());
}
public static GOParameters standardPSO(AbstractOptimizationProblem problem) {
ParticleSwarmOptimization pso = new ParticleSwarmOptimization();
Population pop = new Population();
pop.setPopulationSize(30);
pso.setPopulation(pop);
pso.setPhiValues(2.05, 2.05);
pso.getTopology().setSelectedTag("Grid");
return makeParams(pso, pop, problem, randSeed, defaultTerminator());
}
public static GOParameters standardDE(AbstractOptimizationProblem problem) {
DifferentialEvolution de = new DifferentialEvolution();
Population pop = new Population();
pop.setPopulationSize(50);
de.setPopulation(pop);
de.getDEType().setSelectedTag(1); // this sets current-to-best
de.setF(0.8);
de.setK(0.6);
de.setLambda(0.6);
de.setMt(0.05);
return makeParams(de, pop, problem, randSeed, defaultTerminator());
}
public static GOParameters standardGA(AbstractOptimizationProblem problem) {
GeneticAlgorithm ga = new GeneticAlgorithm();
Population pop = new Population();
pop.setPopulationSize(100);
ga.setPopulation(pop);
ga.setElitism(true);
return makeParams(ga, pop, problem, randSeed, defaultTerminator());
}
public static GOParameters tribes(AbstractOptimizationProblem problem) {
Tribes tr = new Tribes();
Population pop = new Population();
pop.setPopulationSize(1); // only for init
problem.initPopulation(pop);
return makeParams(tr, pop, problem, randSeed, defaultTerminator());
}
}

94
src/javaeva/OptimizerRunnable.java Normal file
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@ -0,0 +1,94 @@
package javaeva;
import java.io.PrintWriter;
import java.io.StringWriter;
import java.util.BitSet;
import javaeva.gui.BeanInspector;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.individuals.InterfaceDataTypeBinary;
import javaeva.server.go.individuals.InterfaceDataTypeDouble;
import javaeva.server.go.individuals.InterfaceDataTypeInteger;
import javaeva.server.go.operators.terminators.CombinedTerminator;
import javaeva.server.modules.GOParameters;
import javaeva.server.modules.Processor;
import javaeva.server.stat.StatisticsStandalone;
/**
* This Runnable class just encapsulates the Processor class with some simple ways to access a solution.
*
* @author mkron
*
*/
public class OptimizerRunnable implements Runnable {
Processor proc;
boolean isFinished = false;
public OptimizerRunnable(GOParameters params, String outputFilePrefix) {
proc = new Processor(new StatisticsStandalone(outputFilePrefix), null, params);
}
public InterfaceGOParameters getGOParams() {
return proc.getGOParams();
}
public void run() {
isFinished = false;
try {
proc.startOpt();
proc.runOptOnce();
} catch(Exception e) {
proc.getStatistics().printToTextListener("Exception in OptimizeThread::run: " + e.getMessage() + "\n");
StringWriter sw = new StringWriter();
e.printStackTrace(new PrintWriter(sw));
proc.getStatistics().printToTextListener(sw.toString());
}
isFinished = true;
synchronized (this) {
this.notifyAll();
}
}
public boolean isFinished() {
return isFinished;
}
public void stopOpt() {
proc.stopOpt();
}
public IndividualInterface getSolution() {
return proc.getStatistics().getBestSolution();
}
public String terminatedBecause() {
if (isFinished) {
InterfaceTerminator term = proc.getGOParams().getTerminator();
if (term instanceof CombinedTerminator) return ((CombinedTerminator)term).terminatedBecause(proc.getGOParams().getOptimizer().getPopulation());
else return "Terminated because " + BeanInspector.toString(term) + " terminated;";
} else return "Not yet terminated";
}
public double[] getDoubleSolution() {
IndividualInterface indy = getSolution();
if (indy instanceof InterfaceDataTypeDouble) {
return ((InterfaceDataTypeDouble)indy).getDoubleData();
} else return null;
}
public BitSet getBinarySolution() {
IndividualInterface indy = getSolution();
if (indy instanceof InterfaceDataTypeBinary) {
return ((InterfaceDataTypeBinary)indy).getBinaryData();
} else return null;
}
public int[] getIntegerSolution() {
IndividualInterface indy = getSolution();
if (indy instanceof InterfaceDataTypeInteger) {
return ((InterfaceDataTypeInteger)indy).getIntegerData();
} else return null;
}
}

45
src/javaeva/client/EvAClient.java
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@ -23,7 +23,11 @@ import java.awt.event.KeyEvent;
import java.awt.event.WindowAdapter;
import java.awt.event.WindowEvent;
import java.io.Serializable;
import java.net.URL;
import java.util.Iterator;
import java.util.Map;
import java.util.Properties;
import java.util.Set;
import javaeva.gui.ExtAction;
import javaeva.gui.JEFrame;
@ -35,6 +39,7 @@ import javaeva.server.EvAServer;
import javaeva.server.modules.ModuleAdapter;
import javaeva.tools.EVAERROR;
import javaeva.tools.EVAHELP;
import javaeva.tools.ReflectPackage;
import javaeva.tools.Serializer;
import javax.swing.ButtonGroup;
@ -229,7 +234,11 @@ public class EvAClient implements RemoteStateListener, Serializable {
m_Frame.addWindowListener(new WindowAdapter() {
public void windowClosing(WindowEvent e) {
System.out.println("Closing JavaEvA Client. Bye!");
System.exit(1);
m_Frame.dispose();
Set<String> keys = System.getenv().keySet();
if (keys.contains("MATLAB")) {
System.out.println("Seems like Ive been started from Matlab: not killing JVM");
} else System.exit(1);
}
});
@ -241,6 +250,7 @@ public class EvAClient implements RemoteStateListener, Serializable {
// m_mnuModule.setText("Select module");
// m_mnuModule.repaint();
m_LogPanel.logMessage("Working directory is: " + System.getProperty("user.dir"));
m_LogPanel.logMessage("Class path is: " + System.getProperty("java.class.path","."));
if (!(m_Frame.isVisible())) {
@ -271,7 +281,7 @@ public class EvAClient implements RemoteStateListener, Serializable {
}
/**
* The one and only main of the client programm.
* The one and only main of the client program.
*
* @param args command line parameters
*/
@ -280,6 +290,7 @@ public class EvAClient implements RemoteStateListener, Serializable {
System.out.println(EVAHELP.getSystemPropertyString());
}
EvAClient Client = new EvAClient((args.length == 1) ? args[0] : null);
}
// /**
@ -563,11 +574,24 @@ public class EvAClient implements RemoteStateListener, Serializable {
e.printStackTrace();
EVAERROR.EXIT("Error while m_ComAdapter.GetModuleAdapter Host: " + e.getMessage());
}
if (newModuleAdapter == null) showLoadModules = true;
if (newModuleAdapter == null) {
URL baseDir = this.getClass().getClassLoader().getResource("");
String cp = System.getProperty("java.class.path",".");
if (!cp.contains(baseDir.getPath())) {
System.err.println("classpath does not contain base directory!");
System.err.println("adding base dir and trying again...");
System.setProperty("java.class.path", cp + System.getProperty("path.separator") + baseDir.getPath());
ReflectPackage.resetDynCP();
m_ComAdapter.updateLocalMainAdapter();
loadSpecificModule(selectedModule); // warning! end recursive call! handle with care!
return;
}
showLoadModules = true;
}
else {
newModuleAdapter.setConnection(!localMode);
if (m_ComAdapter.isRunLocally()) {
// TODO in rmi-mode this doesnt work yet!
// TODO in rmi-mode this doesnt work yet! meaning e.g. that theres no content in the info log
newModuleAdapter.addRemoteStateListener((RemoteStateListener)this);
}
try {
@ -693,12 +717,12 @@ public class EvAClient implements RemoteStateListener, Serializable {
}
public void performedRestart(String infoString) {
logMessage("Restarted " + infoString);
logMessage("Restarted processing " + infoString);
startTime = System.currentTimeMillis();
}
public void performedStart(String infoString) {
logMessage("Started " + infoString);
logMessage("Started processing " + infoString);
startTime = System.currentTimeMillis();
}
@ -713,7 +737,8 @@ public class EvAClient implements RemoteStateListener, Serializable {
* SwingUtilities.invokeLater(). In this case we're just
* changing the progress bars value.
*/
public void updateProgress(final int percent) {
public void updateProgress(final int percent, String msg) {
if (msg != null) logMessage(msg);
if (this.m_ProgressBar != null) {
Runnable doSetProgressBarValue = new Runnable() {
public void run() {
@ -723,4 +748,10 @@ public class EvAClient implements RemoteStateListener, Serializable {
SwingUtilities.invokeLater(doSetProgressBarValue);
}
}
//
// public void test(Object o) {
// System.out.println("hello from EvAClient.test!");
// System.out.println("object gives " + o);
// }
}

4
src/javaeva/client/EvAComAdapter.java
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@ -74,6 +74,10 @@ public class EvAComAdapter extends ComAdapter {
return newModuleAdapter;
}
public void updateLocalMainAdapter() {
localMainAdapter = new EvAMainAdapterImpl();
}
private EvAMainAdapter getLocalMainAdapter() {
if (localMainAdapter == null) localMainAdapter = new EvAMainAdapterImpl();
return localMainAdapter;

1
src/javaeva/client/RMIConnectionEvA.java
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@ -1,6 +1,5 @@
package javaeva.client;
import java.lang.reflect.InvocationHandler;
import java.net.InetAddress;
import java.net.UnknownHostException;

32
src/javaeva/gui/BeanInspector.java
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@ -127,25 +127,25 @@ public class BeanInspector {
*/
public static String toString(Object Target) {
String ret = "";
if (Target == null) return "null";
// try the object itself
if (Target instanceof String) return (String)Target; // directly return a string object
Class<? extends Object> type = Target.getClass();
if (type.isArray()) { // handle the array case
StringBuffer sbuf = new StringBuffer("[");
StringBuffer sbuf = new StringBuffer("[ ");
int len = Array.getLength(Target);
for (int i=0; i<len; i++) {
sbuf.append(toString(Array.get(Target, i)));
if (i<len-1) sbuf.append(";");
if (i<len-1) sbuf.append("; ");
}
sbuf.append("]");
sbuf.append(" ]");
return sbuf.toString();
}
Method[] methods = Target.getClass().getDeclaredMethods();
for (int ii = 0; ii < methods.length; ii++) { // check if the object has its own toString method, in this case use it
if (methods[ii].getName().equals("toString") && (methods[ii].getParameterTypes().length == 0)) {
if ((methods[ii].getName().equals("toString") /*|| (methods[ii].getName().equals("getStringRepresentation"))*/) && (methods[ii].getParameterTypes().length == 0)) {
Object[] args = new Object[0];
//args[0] = Target;
try {
@ -274,5 +274,27 @@ public class BeanInspector {
}
}
}
public static Object callIfAvailable(Object obj, String mName, Object[] args) {
Method meth = hasMethod(obj, mName);
if (meth != null) {
try {
return meth.invoke(obj, args);
} catch(Exception e) {
System.err.println("Error on calling method "+mName + " on " + obj.getClass().getName());
return null;
}
} else return null;
}
public static Method hasMethod(Object obj, String mName) {
Class cls = obj.getClass();
Method[] meths = cls.getMethods();
for (Method method : meths) {
if (method.getName().equals(mName)) return method;
}
return null;
}
}

247
src/javaeva/gui/FunctionArea.java
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@ -21,25 +21,19 @@ import java.awt.event.ActionListener;
import java.awt.event.InputEvent;
import java.awt.event.MouseAdapter;
import java.awt.event.MouseEvent;
import java.io.BufferedInputStream;
import java.io.BufferedOutputStream;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.PrintWriter;
import java.io.Serializable;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.text.SimpleDateFormat;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.mocco.paretofrontviewer.InterfaceRefPointListener;
import javax.swing.JFileChooser;
import javax.swing.JMenuItem;
import javax.swing.JOptionPane;
import javax.swing.JPopupMenu;
import wsi.ra.chart2d.DArea;
@ -48,8 +42,6 @@ import wsi.ra.chart2d.DPoint;
import wsi.ra.chart2d.DPointIcon;
import wsi.ra.chart2d.DPointSet;
import wsi.ra.chart2d.ScaledBorder;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.mocco.paretofrontviewer.InterfaceRefPointListener;
/*==========================================================================*
* CLASS DECLARATION
@ -60,7 +52,7 @@ import javaeva.server.go.mocco.paretofrontviewer.InterfaceRefPointListener;
public class FunctionArea extends DArea implements Serializable {
private InterfaceRefPointListener m_RefPointListener;
private JFileChooser m_FileChooser;
private ArrayList m_PointSetContainer;
private ArrayList<GraphPointSet> m_PointSetContainer;
private ScaledBorder m_Border;
private boolean m_log = false;
private boolean notifyNegLog = true;
@ -89,7 +81,7 @@ public class FunctionArea extends DArea implements Serializable {
setBorder(m_Border);
setAutoGrid(true);
setGridVisible(true);
m_PointSetContainer = new ArrayList(20);
m_PointSetContainer = new ArrayList<GraphPointSet>(20);
//new DMouseZoom( this );
addPopup();
repaint();
@ -183,55 +175,92 @@ public class FunctionArea extends DArea implements Serializable {
}
/**
* Export contained data to standard output.
*
*/
public void exportToAscii() {
exportToAscii((File)null);
}
private String cleanBlanks(String str, Character rpl) {
return str.replace(' ', rpl);
}
/**
* Export contained data to a file or to standard out if null is given.
* The given File will be overwritten!
*
* @param file a File instance or null to export to standard out
* @return true if the export succeeded, else false
*/
public boolean exportToAscii(File file) {
String[] s = null;
int maxSize = 0;
DPointSet maxSet = null;
for (int i = 0; i < m_PointSetContainer.size(); i++) {
if (m_PointSetContainer.get(i)instanceof GraphPointSet) {
GraphPointSet set = (GraphPointSet) m_PointSetContainer.get(i);
String info = set.getInfoString();
DPointSet pset = set.getConnectedPointSet();
if (s == null) {
s = new String[pset.getSize() + 1];
// find maximum length of all point sets
if (m_PointSetContainer.get(i).getConnectedPointSet().getSize() > maxSize) {
maxSet = m_PointSetContainer.get(i).getConnectedPointSet();
maxSize = maxSet.getSize();
}
}
if (maxSize > 0) { // if there is any data, init string array and set x value column
s = new String[maxSize + 1];
s[0] = "calls";
for (int j = 1; j <= maxSize; j++) s[j] = "" + maxSet.getDPoint(j-1).x;
} else {
System.err.println("Error: no data to export");
return true;
}
s[0] = s[0] + " " + info;
for (int j = 1; j < s.length; j++) {
if (i == 0)
s[j] = "" + pset.getDPoint(j - 1).x;
try {
s[j] = s[j] + " " + pset.getDPoint(j - 1).y;
} catch (Exception e) {
s[j] += " ";
}
}
}
}
for (int j = 0; j < s.length; j++) {
System.out.println("s=" + s[j]);
}
// todo: Steichert hat einfach einen default namen genommen
SimpleDateFormat formatter = new SimpleDateFormat("E'_'yyyy.MM.dd'_'HH.mm.ss");
String fname = "PlotExport_"+formatter.format(new Date());
// System.out.println("Filename ??");
// String fname = null;
// BufferedReader in = new BufferedReader(new InputStreamReader(System.in));
for (int i = 0; i < m_PointSetContainer.size(); i++) {
if (m_PointSetContainer.get(i) instanceof GraphPointSet) {
GraphPointSet set = (GraphPointSet) m_PointSetContainer.get(i);
DPointSet pset = set.getConnectedPointSet();
s[0] = s[0] + " " + cleanBlanks(set.getInfoString(), '_'); // add column name
for (int j = 1; j < s.length; j++) { // add column data of place holder if no value in this set
if ((j-1) < pset.getSize()) s[j] = s[j] + " " + pset.getDPoint(j - 1).y;
else s[j] += " #";
// try {
// fname = in.readLine();
// s[j] = s[j] + " " + pset.getDPoint(j - 1).y;
// } catch (Exception e) {
// System.out.println("" + e.getMessage());
// s[j] += " ";
// }
}
} else System.err.println("error in FunctionArea::exportToAscii");
}
if (file == null) {
for (int j = 0; j < s.length; j++) {
System.out.println(s[j]);
}
return true;
} else try {
PrintWriter out = new PrintWriter(new FileOutputStream(file));
for (int j = 0; j < s.length; j++) out.println(s[j]);
out.flush();
out.close();
return true;
} catch (Exception e) {
System.err.println("Error on data export:" + e.getMessage());
return false;
}
}
/**
* Export contained data to a file with a given String as prefix
*
* @param prefix file name prefix
* @return true if the export succeeded, else false
*/
public boolean exportToAscii(String prefix) {
SimpleDateFormat formatter = new SimpleDateFormat("E'_'yyyy.MM.dd'_'HH.mm.ss");
String fname = prefix+"PlotExport_"+formatter.format(new Date())+".txt";
try {
File f = new File(fname + ".txt");
File f = new File(fname);
f.createNewFile();
PrintWriter Out = new PrintWriter(new FileOutputStream(f));
for (int j = 0; j < s.length; j++)
Out.println(s[j]);
Out.flush();
Out.close();
return exportToAscii(f);
} catch (Exception e) {
System.err.println("Error:" + e.getMessage());
return false;
}
}
@ -466,66 +495,66 @@ public class FunctionArea extends DArea implements Serializable {
((GraphPointSet) (m_PointSetContainer.get(i))).jump();
}
/**
*/
public Object openObject() {
if (m_FileChooser == null)
createFileChooser();
int returnVal = m_FileChooser.showOpenDialog(this);
if (returnVal == JFileChooser.APPROVE_OPTION) {
File selected = m_FileChooser.getSelectedFile();
try {
ObjectInputStream oi = new ObjectInputStream(new BufferedInputStream(new FileInputStream(selected)));
Object obj = oi.readObject();
oi.close();
// /**
// */
// public Object openObject() {
// if (m_FileChooser == null)
// createFileChooser();
// int returnVal = m_FileChooser.showOpenDialog(this);
// if (returnVal == JFileChooser.APPROVE_OPTION) {
// File selected = m_FileChooser.getSelectedFile();
// try {
// ObjectInputStream oi = new ObjectInputStream(new BufferedInputStream(new FileInputStream(selected)));
// Object obj = oi.readObject();
// oi.close();
//
// Object[] objects = (Object[]) obj;
// for (int i = 0; i < objects.length; i++) {
// GraphPointSet xx = ((GraphPointSet.SerPointSet) objects[i]).getGraphPointSet();
// xx.initGraph(this);
// addGraphPointSet(xx);
// }
// repaint();
// return obj;
// } catch (Exception ex) {
// JOptionPane.showMessageDialog(this,
// "Couldn't read object: "
// + selected.getName()
// + "\n" + ex.getMessage(),
// "Open object file",
// JOptionPane.ERROR_MESSAGE);
// }
// }
// return null;
// }
Object[] objects = (Object[]) obj;
for (int i = 0; i < objects.length; i++) {
GraphPointSet xx = ((GraphPointSet.SerPointSet) objects[i]).getGraphPointSet();
xx.initGraph(this);
addGraphPointSet(xx);
}
repaint();
return obj;
} catch (Exception ex) {
JOptionPane.showMessageDialog(this,
"Couldn't read object: "
+ selected.getName()
+ "\n" + ex.getMessage(),
"Open object file",
JOptionPane.ERROR_MESSAGE);
}
}
return null;
}
/**
*
*/
public void saveObject() {
Object[] object = new Object[m_PointSetContainer.size()];
for (int i = 0; i < m_PointSetContainer.size(); i++) {
object[i] = ((GraphPointSet) m_PointSetContainer.get(i)).getSerPointSet();
}
if (m_FileChooser == null)
createFileChooser();
int returnVal = m_FileChooser.showSaveDialog(this);
if (returnVal == JFileChooser.APPROVE_OPTION) {
File sFile = m_FileChooser.getSelectedFile();
try {
ObjectOutputStream oo = new ObjectOutputStream(new BufferedOutputStream(new FileOutputStream(sFile)));
oo.writeObject(object);
oo.close();
} catch (IOException ex) {
JOptionPane.showMessageDialog(this,
"Couldn't write to file: "
+ sFile.getName()
+ "\n" + ex.getMessage(),
"Save object",
JOptionPane.ERROR_MESSAGE);
}
}
}
// /**
// *
// */
// public void saveObject() {
// Object[] object = new Object[m_PointSetContainer.size()];
// for (int i = 0; i < m_PointSetContainer.size(); i++) {
// object[i] = ((GraphPointSet) m_PointSetContainer.get(i)).getSerPointSet();
// }
// if (m_FileChooser == null)
// createFileChooser();
// int returnVal = m_FileChooser.showSaveDialog(this);
// if (returnVal == JFileChooser.APPROVE_OPTION) {
// File sFile = m_FileChooser.getSelectedFile();
// try {
// ObjectOutputStream oo = new ObjectOutputStream(new BufferedOutputStream(new FileOutputStream(sFile)));
// oo.writeObject(object);
// oo.close();
// } catch (IOException ex) {
// JOptionPane.showMessageDialog(this,
// "Couldn't write to file: "
// + sFile.getName()
// + "\n" + ex.getMessage(),
// "Save object",
// JOptionPane.ERROR_MESSAGE);
// }
// }
// }
/**
*
@ -659,7 +688,7 @@ public class FunctionArea extends DArea implements Serializable {
// }
// });
// GraphMenu.add(showVar);
//
// }
// else {
// JMenuItem hideVar = new JMenuItem("Hide varianz ");

5
src/javaeva/gui/GenericObjectEditor.java
View File

@ -442,12 +442,13 @@ public class GenericObjectEditor implements PropertyEditor {
// setObject(dummy);
// } else {
if (TRACE) System.out.println(className);
Object n = (Object)Class.forName(className, true, ClassLoader.getSystemClassLoader()).newInstance();
Object n = (Object)Class.forName(className, true, this.getClass().getClassLoader()).newInstance();
n = (Object)Class.forName(className).newInstance();
setObject(n);
// }
} catch (Exception ex) {
System.out.println("Exeption in itemStateChanged "+ex.getMessage());
System.err.println("Exeption in itemStateChanged "+ex.getMessage());
System.err.println("Classpath is " + System.getProperty("java.class.path"));
ex.printStackTrace();
m_ObjectChooser.hidePopup();
m_ObjectChooser.setSelectedIndex(0);

141
src/javaeva/gui/GraphPointSet.java
View File

@ -468,64 +468,66 @@ public class GraphPointSet {
m_Stroke = stroke;
//setStroke(new BasicStroke( m_Stroke ));
}
/**
*
*/
public SerPointSet getSerPointSet () {
SerPointSet ret= new SerPointSet(this);
return ret;
}
/**
*
*/
class SerPointSet implements Serializable {
private String m_InfoString;
private int m_GraphLabel;
private Color m_Color;
private float m_Stroke;
private PointSet m_PointSet_1;
private PointSet m_PointSet_2;
private PointSet m_PointSet_3;
private PointSet m_ConnectedPointSet;
private PointSet m_VarPointSetPlus;
private PointSet m_VarPointSetMinus;
private boolean m_isStatisticeGraph;
private boolean m_showVarianz;
/**
*
*/
public SerPointSet (GraphPointSet Source) {
m_InfoString = Source.m_InfoString;
m_GraphLabel = Source.m_GraphLabel;
m_Color = Source.m_Color;
m_Stroke = Source.m_Stroke;
m_isStatisticeGraph = Source.m_isStatisticsGraph;
// /**
// *
// */
// public SerPointSet getSerPointSet () {
// SerPointSet ret= new SerPointSet(this);
// return ret;
// }
//
// /**
// *
// */
// class SerPointSet implements Serializable {
// private String m_InfoString;
// private int m_GraphLabel;
// private Color m_Color;
// private float m_Stroke;
//// private PointSet m_PointSet_1;
//// private PointSet m_PointSet_2;
//// private PointSet m_PointSet_3;
// private PointSet m_ConnectedPointSet;
//// private PointSet m_VarPointSetPlus;
//// private PointSet m_VarPointSetMinus;
// private boolean m_isStatisticeGraph;
//// private boolean m_showVarianz;
// /**
// *
// */
// public SerPointSet (GraphPointSet Source) {
// m_InfoString = Source.m_InfoString;
// m_GraphLabel = Source.m_GraphLabel;
// m_Color = Source.m_Color;
// m_Stroke = Source.m_Stroke;
// m_isStatisticeGraph = Source.m_isStatisticsGraph;
//
// // save the connected points
// m_ConnectedPointSet = new PointSet(Source.getConnectedPointSet());
//// m_PointSet_1 = new PointSet (Source.m_PointSet_1);
//// m_PointSet_2 = new PointSet (Source.m_PointSet_2);
//// m_PointSet_3 = new PointSet (Source.m_PointSet_3);
// }
// /**
// *
// */
// public GraphPointSet getGraphPointSet () {
// GraphPointSet ret = new GraphPointSet(10,m_GraphLabel);
// ret.setInfoString(this.m_InfoString,this.m_Stroke);
// ret.setColor(this.m_Color);
// ret.m_Color = m_Color;
// ret.m_Stroke = m_Stroke;
// ret.m_isStatisticsGraph = m_isStatisticeGraph;
// //@todo why doesn't that work!?
//// ret.m_ConnectedPointSet = (DPointSetMultiIcon)m_ConnectedPointSet;
//// ret.m_PointSet_1 = m_PointSet_1.getDPointSet();
//// ret.m_PointSet_2 = m_PointSet_2.getDPointSet();
//// ret.m_PointSet_3 = m_PointSet_3.getDPointSet();
// ret.m_ConnectedPointSet.setConnected(true);
// return ret;
// }
// }
// save the connected points
m_ConnectedPointSet = new PointSet(Source.getConnectedPointSet());
// m_PointSet_1 = new PointSet (Source.m_PointSet_1);
// m_PointSet_2 = new PointSet (Source.m_PointSet_2);
// m_PointSet_3 = new PointSet (Source.m_PointSet_3);
}
/**
*
*/
public GraphPointSet getGraphPointSet () {
GraphPointSet ret = new GraphPointSet(10,m_GraphLabel);
ret.setInfoString(this.m_InfoString,this.m_Stroke);
ret.setColor(this.m_Color);
ret.m_Color = m_Color;
ret.m_Stroke = m_Stroke;
ret.m_isStatisticsGraph = m_isStatisticeGraph;
//@todo why doesn't that work!?
// ret.m_ConnectedPointSet = (DPointSetMultiIcon)m_ConnectedPointSet;
// ret.m_PointSet_1 = m_PointSet_1.getDPointSet();
// ret.m_PointSet_2 = m_PointSet_2.getDPointSet();
// ret.m_PointSet_3 = m_PointSet_3.getDPointSet();
ret.m_ConnectedPointSet.setConnected(true);
return ret;
}
}
/**
*
*/
@ -562,18 +564,19 @@ public class GraphPointSet {
public int getSize() {
return m_X.length;
}
/**
*
*/
public DPointSet printPoints() {
for (int i = 0; i < m_ConnectedPointSet.getSize();i++) {
DPoint p = m_ConnectedPointSet.getDPoint(i);
double x = p.x;
double y = p.y;
//System.out.println("point "+i+ " x= "+x+"y= "+y);
}
return m_ConnectedPointSet.getDPointSet();
}
// /**
// *
// */
// public DPointSet printPoints() {
// for (int i = 0; i < m_ConnectedPointSet.getSize();i++) {
// DPoint p = m_ConnectedPointSet.getDPoint(i);
// double x = p.x;
// double y = p.y;
// //System.out.println("point "+i+ " x= "+x+"y= "+y);
// }
// return m_ConnectedPointSet.getDPointSet();
// }
}
}

2
src/javaeva/gui/JModuleGeneralPanel.java
View File

@ -185,7 +185,7 @@ public class JModuleGeneralPanel implements RemoteStateListener, Serializable {
public void performedRestart(String infoString) {
}
public void updateProgress(final int percent) {
public void updateProgress(final int percent, String msg) {
}
/**

19
src/javaeva/gui/JTextoutputFrame.java
View File

@ -40,12 +40,14 @@ public class JTextoutputFrame implements JTextoutputFrameInterface,
protected String m_Name ="undefined";
private transient JTextArea m_TextArea;
private boolean m_firstprint = true;
private final JFrame frame;
/**
*
*/
public JTextoutputFrame(String Title) {
if (TRACE) System.out.println("JTextoutputFrame Constructor");
m_Name = Title;
frame = new JEFrame(m_Name);
}
/**
*
@ -59,6 +61,19 @@ public class JTextoutputFrame implements JTextoutputFrameInterface,
m_TextArea.append (Text+"\n");
m_TextArea.repaint();
}
public void setShow(boolean bShow) {
if (frame.isVisible() != bShow) {
if (frame.isVisible()) {
frame.dispose();
m_TextArea.setText(null);
} else {
if (m_firstprint) createFrame();
else frame.setVisible(true);
}
}
}
/**
*
*/
@ -70,13 +85,13 @@ public class JTextoutputFrame implements JTextoutputFrameInterface,
m_TextArea.setWrapStyleWord(true);
m_TextArea.setEditable(false);
m_TextArea.setCaretPosition(0);
final JFrame frame = new JEFrame(m_Name);
BasicResourceLoader loader = BasicResourceLoader.instance();
byte[] bytes = loader.getBytesFromResourceLocation(EvAClient.iconLocation);
try {
frame.setIconImage(Toolkit.getDefaultToolkit().createImage(bytes));
} catch (java.lang.NullPointerException e) {
System.out.println("Could not find JavaEvA icon, please move rescoure folder to working directory!");
System.out.println("Could not find JavaEvA icon, please move resource folder to working directory!");
}
frame.addWindowListener(new WindowAdapter() {
public void windowClosing(WindowEvent e) {

7
src/javaeva/gui/JTextoutputFrameInterface.java
View File

@ -1,4 +1,7 @@
package javaeva.gui;
import javaeva.server.stat.InterfaceTextListener;
/*
* Title: JavaEvA
* Description:
@ -18,6 +21,6 @@ package javaeva.gui;
/**
*
*/
public interface JTextoutputFrameInterface {
public void print (String Text);
public interface JTextoutputFrameInterface extends InterfaceTextListener {
public void setShow(boolean bShow);
}

244
src/javaeva/gui/Plot.java
View File

@ -128,50 +128,79 @@ public class Plot implements PlotInterface, Serializable {
m_PlotArea.toggleLog();
}
});
JButton ExportButton = new JButton ("Export");
JButton ExportButton = new JButton ("Export...");
ExportButton.setToolTipText("Exports the graph data to a simple ascii file.");
ExportButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
exportPlot();
}
});
JButton DumpButton = new JButton ("Dump");
DumpButton.setToolTipText("Dump the graph data to standard output");
DumpButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
m_PlotArea.exportToAscii();
}
});
// Test Thomas start
// Test Thomas end
JButton PrintButton = new JButton ("Print");
PrintButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
try {
Robot robot = new Robot();
// Capture a particular area on the screen
int x = 100;
int y = 100;
int width = 200;
int height = 200;
Rectangle area = new Rectangle(x, y, width, height);
BufferedImage bufferedImage = robot.createScreenCapture(area);
// Capture the whole screen
area = new Rectangle(Toolkit.getDefaultToolkit().getScreenSize());
bufferedImage = robot.createScreenCapture(area);
try {
FileOutputStream fos = new FileOutputStream("test.jpeg");
BufferedOutputStream bos = new BufferedOutputStream(fos);
JPEGImageEncoder encoder = JPEGCodec.createJPEGEncoder(bos);
encoder.encode(bufferedImage);
bos.close();
} catch (Exception eee) {}
} catch (AWTException ee) {
ee.printStackTrace();
}
PrinterJob job = PrinterJob.getPrinterJob();
// PageFormat format = job.defaultPage();
// job.setPrintable(m_PlotArea, format);
// JButton PrintButton = new JButton ("Print");
// PrintButton.addActionListener(new ActionListener() {
// public void actionPerformed(ActionEvent e) {
// try {
// Robot robot = new Robot();
// // Capture a particular area on the screen
// int x = 100;
// int y = 100;
// int width = 200;
// int height = 200;
// Rectangle area = new Rectangle(x, y, width, height);
// BufferedImage bufferedImage = robot.createScreenCapture(area);
//
// // Capture the whole screen
// area = new Rectangle(Toolkit.getDefaultToolkit().getScreenSize());
// bufferedImage = robot.createScreenCapture(area);
// try {
// FileOutputStream fos = new FileOutputStream("test.jpeg");
// BufferedOutputStream bos = new BufferedOutputStream(fos);
// JPEGImageEncoder encoder = JPEGCodec.createJPEGEncoder(bos);
// encoder.encode(bufferedImage);
// bos.close();
// } catch (Exception eee) {}
//
//
// } catch (AWTException ee) {
// ee.printStackTrace();
// }
//
//
//
// PrinterJob job = PrinterJob.getPrinterJob();
//// PageFormat format = job.defaultPage();
//// job.setPrintable(m_PlotArea, format);
//// if (job.printDialog()) {
//// // If not cancelled, start printing! This will call the print()
//// // method defined by the Printable interface.
//// try { job.print(); }
//// catch (PrinterException ee) {
//// System.out.println(ee);
//// ee.printStackTrace();
//// }
//// }
//
// ///////////////////////////////////////////////
// //PagePrinter pp = new PagePrinter(m_PlotArea,m_PlotArea.getGraphics(),job.defaultPage());
// //pp.print();
// // public int print( Graphics g, PageFormat pf, int pi ){
//// m_PlotArea.print(m_PlotArea.getGraphics(), new PageFormat(),0);
// // Obtain a java.awt.print.PrinterJob (not java.awt.PrintJob)
// //PrinterJob job = PrinterJob.getPrinterJob();
// // Tell the PrinterJob to print us (since we implement Printable)
// // using the default page layout
// PageFormat page = job.defaultPage();
//
// job.setPrintable(m_PlotArea, page);
// // Display the print dialog that allows the user to set options.
// // The method returns false if the user cancelled the print request
// if (job.printDialog()) {
// // If not cancelled, start printing! This will call the print()
// // method defined by the Printable interface.
@ -181,46 +210,24 @@ public class Plot implements PlotInterface, Serializable {
// ee.printStackTrace();
// }
// }
// }
// });
///////////////////////////////////////////////
//PagePrinter pp = new PagePrinter(m_PlotArea,m_PlotArea.getGraphics(),job.defaultPage());
//pp.print();
// public int print( Graphics g, PageFormat pf, int pi ){
// m_PlotArea.print(m_PlotArea.getGraphics(), new PageFormat(),0);
// Obtain a java.awt.print.PrinterJob (not java.awt.PrintJob)
//PrinterJob job = PrinterJob.getPrinterJob();
// Tell the PrinterJob to print us (since we implement Printable)
// using the default page layout
PageFormat page = job.defaultPage();
job.setPrintable(m_PlotArea, page);
// Display the print dialog that allows the user to set options.
// The method returns false if the user cancelled the print request
if (job.printDialog()) {
// If not cancelled, start printing! This will call the print()
// method defined by the Printable interface.
try { job.print(); }
catch (PrinterException ee) {
System.out.println(ee);
ee.printStackTrace();
}
}
}
});
JButton OpenButton = new JButton ("Open..");
OpenButton.setToolTipText("Load a old plot");
OpenButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
m_PlotArea.openObject();
}
});
JButton SaveButton = new JButton ("Save..");
SaveButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
m_PlotArea.saveObject();
}
});
JButton SaveJPGButton = new JButton ("Save as JPG");
// MK: Im not sure whether save/open ever worked...
// JButton OpenButton = new JButton ("Open..");
// OpenButton.setToolTipText("Load an old plot");
// OpenButton.addActionListener(new ActionListener() {
// public void actionPerformed(ActionEvent e) {
// m_PlotArea.openObject();
// }
// });
// JButton SaveButton = new JButton ("Save..");
// SaveButton.addActionListener(new ActionListener() {
// public void actionPerformed(ActionEvent e) {
// m_PlotArea.saveObject();
// }
// });
JButton SaveJPGButton = new JButton ("Save as JPG...");
SaveJPGButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
String outfile ="";
@ -231,17 +238,18 @@ public class Plot implements PlotInterface, Serializable {
BufferedImage bufferedImage = robot.createScreenCapture(area);
JFileChooser fc = new JFileChooser();
if (fc.showSaveDialog(m_Frame) != JFileChooser.APPROVE_OPTION) return;
System.out.println("Name " + outfile);
// System.out.println("Name " + outfile);
try {
FileOutputStream fos = new FileOutputStream(fc.getSelectedFile().getAbsolutePath()+".jpeg");
BufferedOutputStream bos = new BufferedOutputStream(fos);
JPEGImageEncoder encoder = JPEGCodec.createJPEGEncoder(bos);
encoder.encode(bufferedImage);
bos.close();
} catch (Exception eee) {}
} catch (Exception eee) {
System.err.println("Error on exporting JPEG: " + eee.getMessage());
}
} catch (AWTException ee) {
System.err.println("Error on creating JPEG: " + ee.getMessage());
ee.printStackTrace();
}
}
@ -249,10 +257,11 @@ public class Plot implements PlotInterface, Serializable {
m_ButtonPanel.add(ClearButton);
m_ButtonPanel.add(LOGButton);
m_ButtonPanel.add(DumpButton);
m_ButtonPanel.add(ExportButton);
m_ButtonPanel.add(PrintButton);
m_ButtonPanel.add(OpenButton);
m_ButtonPanel.add(SaveButton);
// m_ButtonPanel.add(PrintButton);
// m_ButtonPanel.add(OpenButton);
// m_ButtonPanel.add(SaveButton);
m_ButtonPanel.add(SaveJPGButton);
// getContentPane().smultetLayout( new GridLayout(1, 4) );
m_Frame.getContentPane().add(m_ButtonPanel,"South");
@ -358,6 +367,37 @@ public class Plot implements PlotInterface, Serializable {
}
return null;
}
/**
* Just dump the plot to stdout.
*/
protected void dumpPlot() {
m_PlotArea.exportToAscii();
}
/**
*
*/
protected void exportPlot() {
if (m_FileChooser == null)
createFileChooser();
int returnVal = m_FileChooser.showSaveDialog(m_Frame);
if (returnVal == JFileChooser.APPROVE_OPTION) {
File sFile = m_FileChooser.getSelectedFile();
if (sFile.exists()) {
returnVal = JOptionPane.showConfirmDialog(m_Frame, "The file "+sFile.getName()+" already exists. Overwrite?");
if (returnVal != JOptionPane.YES_OPTION) return;
}
if (!(m_PlotArea.exportToAscii(sFile))) {
JOptionPane.showMessageDialog(m_Frame,
"Couldn't write to file: "
+ sFile.getName(),
"Export error",
JOptionPane.ERROR_MESSAGE);
}
}
}
/**
*
*/
@ -381,6 +421,7 @@ public class Plot implements PlotInterface, Serializable {
}
}
}
/**
*
*/
@ -388,6 +429,7 @@ public class Plot implements PlotInterface, Serializable {
m_FileChooser = new JFileChooser(new File("/resources"));
m_FileChooser.setFileSelectionMode(JFileChooser.FILES_ONLY);
}
/**
*
*/
@ -407,23 +449,23 @@ public class Plot implements PlotInterface, Serializable {
m_Frame.dispose();
}
/**
* Just for testing the Plot class.
*/
public static void main( String[] args ){
Plot plot = new Plot("Plot-Test","x-value","y-value");
plot.init();
double x;
for (x= 0; x <6000; x++) {
//double y = SpecialFunction.getnormcdf(x);
// double yy = 0.5*SpecialFunction.getnormpdf(x);
double n = Math.sin(((double)x/1000*Math.PI));
//plot.setConnectedPoint(x,Math.sin(x),0);
//plot.setConnectedPoint(x,Math.cos(x),1);
//plot.setConnectedPoint(x,y,0);
plot.setConnectedPoint(x,n,1);
}
//plot.addGraph(1,2);
}
// /**
// * Just for testing the Plot class.
// */
// public static void main( String[] args ){
// Plot plot = new Plot("Plot-Test","x-value","y-value");
// plot.init();
// double x;
// for (x= 0; x <6000; x++) {
// //double y = SpecialFunction.getnormcdf(x);
// // double yy = 0.5*SpecialFunction.getnormpdf(x);
// double n = Math.sin(((double)x/1000*Math.PI));
// //plot.setConnectedPoint(x,Math.sin(x),0);
// //plot.setConnectedPoint(x,Math.cos(x),1);
// //plot.setConnectedPoint(x,y,0);
// plot.setConnectedPoint(x,n,1);
// }
// //plot.addGraph(1,2);
// }
}

4
src/javaeva/gui/PropertyEditorProvider.java
View File

@ -5,7 +5,7 @@ import java.beans.PropertyDescriptor;
import java.beans.PropertyEditor;
import java.beans.PropertyEditorManager;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.individuals.codings.gp.GPArea;
import javaeva.tools.SelectedTag;
@ -136,7 +136,7 @@ public class PropertyEditorProvider {
public static void installEditors() {
PropertyEditorManager.registerEditor(SelectedTag.class, TagEditor.class);
PropertyEditorManager.registerEditor(double[].class, GenericArrayEditor.class);
PropertyEditorManager.registerEditor(TerminatorInterface[].class, GenericArrayEditor.class);
PropertyEditorManager.registerEditor(InterfaceTerminator[].class, GenericArrayEditor.class);
PropertyEditorManager.registerEditor(Double.class, DoubleEditor.class);
PropertyEditorManager.registerEditor(Integer.class, IntEditor.class);

4
src/javaeva/server/go/CrossoverInterface.java
View File

@ -12,7 +12,7 @@ package javaeva.server.go;
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import javaeva.server.stat.Statistics;
import javaeva.server.stat.InterfaceStatistics;
/*==========================================================================*
* INTERFACE DECLARATION
*==========================================================================*/
@ -20,5 +20,5 @@ import javaeva.server.stat.Statistics;
*
*/
public interface CrossoverInterface {
public void addListener(Statistics e);
public void addListener(InterfaceStatistics e);
}

42
src/javaeva/server/go/GOStandaloneVersion.java
View File

@ -84,7 +84,7 @@ public class GOStandaloneVersion implements InterfaceGOStandalone, InterfacePopu
transient private int currentProgress;
transient private String m_ExperimentName;
transient private String m_OutputPath = "";
// transient private String m_OutputFileName = "none";
transient private String m_OutputFileName = "none";
// transient private GOStandaloneVersion m_yself;
// these parameters are for the continue option
@ -112,7 +112,7 @@ public class GOStandaloneVersion implements InterfaceGOStandalone, InterfacePopu
this.m_GO = GOParameters.getInstance();
this.m_ExperimentName = this.m_GO.getOptimizer().getName()+"-"+this.m_PerformedRuns.size();
this.m_GO.addPopulationChangedEventListener(this);
RandomNumberGenerator.setseed(m_GO.getSeed());
RandomNumberGenerator.setRandomSeed(m_GO.getSeed());
}
/** This method allows you to get the current GO parameters
@ -300,7 +300,7 @@ public class GOStandaloneVersion implements InterfaceGOStandalone, InterfacePopu
this.m_MultiRuns = 10;
int experimentType = 0;
this.m_ExperimentName = "InferringGRN";
this.m_GO.setOutputFileName("Result");
this.m_OutputFileName = "Result";
this.m_OutputPath = "results/";
// These are some tmp Variables
InterfaceDataTypeDouble tmpIndy = new ESIndividualDoubleData();
@ -309,7 +309,7 @@ public class GOStandaloneVersion implements InterfaceGOStandalone, InterfacePopu
switch (experimentType) {
case 0 : {
// use the Struture Skeletalizing with GA
this.m_GO.setOutputFileName("Prim4_StructSkelGATESTIT");
this.m_OutputFileName = "Prim4_StructSkelGATESTIT";
GeneticAlgorithm ga = new GeneticAlgorithm();
SelectTournament tour = new SelectTournament();
tour.setTournamentSize(10);
@ -331,7 +331,7 @@ public class GOStandaloneVersion implements InterfaceGOStandalone, InterfacePopu
}
case 1 : {
// use the simple ES Local
this.m_GO.setOutputFileName("X360_StandardES");
this.m_OutputFileName = "X360_StandardES";
EvolutionStrategies es = new EvolutionStrategies();
this.m_GO.setOptimizer(es);
this.m_GO.getOptimizer().getPopulation().setPopulationSize(50);
@ -369,13 +369,13 @@ public class GOStandaloneVersion implements InterfaceGOStandalone, InterfacePopu
this.m_GO.saveInstance();
if (this.show) this.m_StatusField.setText("Optimizing...");
RandomNumberGenerator.setseed(m_GO.getSeed());
RandomNumberGenerator.setRandomSeed(m_GO.getSeed());
// opening output file...
if (!this.m_GO.getOutputFileName().equalsIgnoreCase("none")) {
if (!this.m_OutputFileName.equalsIgnoreCase("none")) {
String name = "";
SimpleDateFormat formatter = new SimpleDateFormat("E'_'yyyy.MM.dd'_'HH.mm.ss");
String m_StartDate = formatter.format(new Date());
name = this.m_OutputPath + this.m_GO.getOutputFileName() +"_"+this.m_ExperimentName+"_"+m_StartDate+".dat";
name = this.m_OutputPath + this.m_OutputFileName +"_"+this.m_ExperimentName+"_"+m_StartDate+".dat";
try {
this.m_OutputFile = new BufferedWriter(new OutputStreamWriter (new FileOutputStream (name)));
} catch (FileNotFoundException e) {
@ -540,7 +540,7 @@ public class GOStandaloneVersion implements InterfaceGOStandalone, InterfacePopu
app.setShow(false);
} else {
GOStandaloneVersion program = new GOStandaloneVersion();
RandomNumberGenerator.setseed(1);
RandomNumberGenerator.setRandomSeed(1);
program.initFrame();
program.setShow(true);
}
@ -668,18 +668,18 @@ public class GOStandaloneVersion implements InterfaceGOStandalone, InterfacePopu
return "Set the name of the experiment as it will occur in the legend.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_GO.setOutputFileName(name);
// }
// public String getOutputFileName () {
// return this.m_GO.getOutputFileName();
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
/** This method will set the output filename
* @param name

2
src/javaeva/server/go/IndividualInterface.java
View File

@ -23,4 +23,6 @@ public interface IndividualInterface {
public double[] getFitness();
public void SetFitness (double[] fit);
public double[] getDoubleArray();
public boolean isDominant(double[] otherFitness);
public boolean isDominant(IndividualInterface other);
}

11
src/javaeva/server/go/InterfaceGOParameters.java
View File

@ -37,8 +37,8 @@ public interface InterfaceGOParameters {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term);
public TerminatorInterface getTerminator();
public void setTerminator(InterfaceTerminator term);
public InterfaceTerminator getTerminator();
public String terminatorTipText();
/** This method allows you to set the current optimizing algorithm
@ -57,8 +57,9 @@ public interface InterfaceGOParameters {
/** This method will set the output filename
* @param name
* TODO invalidate these!
*/
public void setOutputFileName (String name);
public String getOutputFileName ();
public String outputFileNameTipText();
// public void setOutputFileName (String name);
// public String getOutputFileName ();
// public String outputFileNameTipText();
}

5
src/javaeva/server/go/TerminatorInterface.java → src/javaeva/server/go/InterfaceTerminator.java
View File

@ -18,8 +18,9 @@ package javaeva.server.go;
/**
*
*/
public interface TerminatorInterface {
public boolean isTerminated(PopulationInterface Pop);
public interface InterfaceTerminator {
public boolean isTerminated(PopulationInterface pop);
public String toString();
public String terminatedBecause(PopulationInterface pop);
public void init();
}

4
src/javaeva/server/go/MutationInterface.java
View File

@ -12,7 +12,7 @@ package javaeva.server.go;
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import javaeva.server.stat.Statistics;
import javaeva.server.stat.InterfaceStatistics;
/*==========================================================================*
* INTERFACE DECLARATION
*==========================================================================*/
@ -20,5 +20,5 @@ import javaeva.server.stat.Statistics;
*
*/
public interface MutationInterface {
public void addStatisticsListner(Statistics e);
public void addStatisticsListner(InterfaceStatistics e);
}

4
src/javaeva/server/go/SelectionInterface.java
View File

@ -12,7 +12,7 @@ package javaeva.server.go;
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import javaeva.server.stat.Statistics;
import javaeva.server.stat.InterfaceStatistics;
/*==========================================================================*
* INTERFACE DECLARATION
*==========================================================================*/
@ -20,5 +20,5 @@ import javaeva.server.stat.Statistics;
*
*/
public interface SelectionInterface {
public void addListener(Statistics e);
public void addListener(InterfaceStatistics e);
}

104
src/javaeva/server/go/individuals/AbstractEAIndividual.java
View File

@ -1,6 +1,8 @@
package javaeva.server.go.individuals;
import javaeva.gui.BeanInspector;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.individuals.codings.gp.InterfaceProgram;
import javaeva.server.go.operators.constraint.InterfaceConstraint;
import javaeva.server.go.operators.crossover.CrossoverGADefault;
import javaeva.server.go.operators.crossover.InterfaceCrossover;
@ -13,6 +15,7 @@ import javaeva.server.go.problems.InterfaceOptimizationProblem;
import javaeva.server.go.tools.GONamingBox;
import java.util.ArrayList;
import java.util.BitSet;
/** This is the abstract EA individual implementing the most important methods giving
* access to mutation and crossover rates and operators, fitness values and selection
@ -632,15 +635,88 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
*/
public abstract String getStringRepresentation();
/**
* This method creates a default String representation for a number Individual interfaces
* with genotype and fitness representation.
*
* @param individual The individual that is to be shown.
* @return The description.
*/
public static String getDefaultStringRepresentation(AbstractEAIndividual individual) {
StringBuffer sb = new StringBuffer(getDefaultDataString(individual));
sb.append("Fitness :");
sb.append(BeanInspector.toString(individual.getFitness()));
return sb.toString();
}
/**
* This method creates a default String representation for a number Individual interfaces
* containing the genotype.
*
* @param individual
* @return
*/
public static String getDefaultDataString(IndividualInterface individual) {
StringBuffer sb = new StringBuffer("");
char left = '[';
char right = ']';
if (individual instanceof InterfaceDataTypeBinary) {
sb.append(left);
BitSet b = ((InterfaceDataTypeBinary)individual).getBinaryData();
for (int i = 0; i < ((InterfaceDataTypeBinary)individual).size(); i++) {
if (b.get(i)) sb.append("1");
else sb.append("0");
}
sb.append(right);
} else if (individual instanceof InterfaceDataTypeInteger) {
sb.append(left);
int[] b = ((InterfaceDataTypeInteger)individual).getIntegerData();
for (int i = 0; i < b.length; i++) {
sb.append(b[i]);
if ((i+1) < b.length) sb.append("; ");
}
sb.append(right);
} else if (individual instanceof InterfaceDataTypeDouble) {
sb.append(left);
double[] b = ((InterfaceDataTypeDouble)individual).getDoubleData();
for (int i = 0; i < b.length; i++) {
sb.append(b[i]);
if ((i+1) < b.length) sb.append("; ");
}
sb.append(right);
} else if (individual instanceof InterfaceDataTypePermutation) {
sb.append(left);
int[] b = ((InterfaceDataTypePermutation)individual).getPermutationData()[0];
for (int i = 0; i < b.length; i++) {
sb.append(b[i]);
if ((i+1) < b.length) sb.append("; ");
}
sb.append(right);
} else if (individual instanceof InterfaceDataTypeProgram) {
sb.append(left);
InterfaceProgram[] b = ((InterfaceDataTypeProgram)individual).getProgramData();
for (int i = 0; i < b.length; i++) {
sb.append(b[i].getStringRepresentation());
if ((i+1) < b.length) sb.append("; ");
}
sb.append(right);
} else {
System.err.println("error in AbstractEAIndividual::getDefaultDataString: type " + individual.getClass() + " not implemented");
}
return sb.toString();
}
public String toString() {
return getDefaultStringRepresentation(this);
}
/**********************************************************************************************************************
* Implementing the Individual Interface
*/
public IndividualInterface getClone() {
return (IndividualInterface)this.clone();
}
//public double[] getFitness();
//public void SetFitness (double[] fit);
/** This method is used to get the basic data type of an individual double[].
* @deprecated Since not all EAIndividuals provide double as basic data type
@ -652,21 +728,13 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
if (this instanceof InterfaceDataTypeDouble) return ((InterfaceDataTypeDouble)this).getDoubleData();
else return this.getFitness();
}
// /**
// *
// */
// public boolean isDominant(IndividualInterface Ind) {
// if (Ind == null) return true;
// if (this.getFitness()[0] < Ind.getFitness()[0]) return true;
// else return false;
// }
/**
*
*/
public boolean isBetter(IndividualInterface Ind) {
if (Ind == null) return true;
if (this.getFitness()[0] < Ind.getFitness()[0]) return true;
else return false;
public boolean isDominant(double[] otherFitness) {
return isDominatingFitness(m_Fitness, otherFitness);
}
public boolean isDominant(IndividualInterface indy) {
return isDominatingDebConstraints((AbstractEAIndividual)indy);
}
}

7
src/javaeva/server/go/individuals/ESIndividualBinaryData.java
View File

@ -1,5 +1,8 @@
package javaeva.server.go.individuals;
import java.util.BitSet;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.operators.crossover.CrossoverESDefault;
import javaeva.server.go.operators.mutation.InterfaceMutation;
import javaeva.server.go.operators.mutation.MutateESGlobal;
@ -7,9 +10,6 @@ import javaeva.server.go.populations.Population;
import javaeva.server.go.problems.InterfaceOptimizationProblem;
import javaeva.server.go.tools.RandomNumberGenerator;
import java.util.BitSet;
import java.util.Arrays;
/** This individual uses a real-valued genotype to code for binary values, either
* by using a threshold value of by interpreting the double value as probability.
* Created by IntelliJ IDEA.
@ -248,6 +248,7 @@ public class ESIndividualBinaryData extends AbstractEAIndividual implements Inte
/************************************************************************************
* InterfaceESIndividual methods
*/
/** This method will allow the user to read the ES 'genotype'
* @return BitSet
*/

18
src/javaeva/server/go/individuals/ESIndividualDoubleData.java
View File

@ -1,5 +1,6 @@
package javaeva.server.go.individuals;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.operators.crossover.CrossoverESDefault;
import javaeva.server.go.operators.mutation.InterfaceMutation;
import javaeva.server.go.operators.mutation.MutateESGlobal;
@ -265,7 +266,7 @@ public class ESIndividualDoubleData extends AbstractEAIndividual implements Inte
strB.append(this.m_SelectionProbability[i]);
strB.append(";");
}
strB.append("})\n Value: [");
strB.append("}) Value: [");
for (int i = 0; i < this.m_Genotype.length; i++) {
strB.append(this.m_Genotype[i]);
strB.append("; ");
@ -318,6 +319,7 @@ public class ESIndividualDoubleData extends AbstractEAIndividual implements Inte
this.m_Genotype[i] = RandomNumberGenerator.randomDouble(this.m_Range[i][0], this.m_Range[i][1]);
}
}
/**********************************************************************************************************************
* These are for GUI
*/
@ -336,11 +338,11 @@ public class ESIndividualDoubleData extends AbstractEAIndividual implements Inte
return "This is a ES individual suited to optimize double values.";
}
public String toString() {
String str = "Ind " + m_Genotype[0];
for (int i=1; i<this.m_Genotype.length; i++) str += "/" + m_Genotype[i];
str += "~" + m_Fitness[0];
for (int i=1; i<this.m_Fitness.length; i++) str += "/" + m_Fitness[i];
return str;
}
// public String toString() {
// String str = "Ind " + m_Genotype[0];
// for (int i=1; i<this.m_Genotype.length; i++) str += "/" + m_Genotype[i];
// str += "~" + m_Fitness[0];
// for (int i=1; i<this.m_Fitness.length; i++) str += "/" + m_Fitness[i];
// return str;
// }
}

17
src/javaeva/server/go/individuals/ESIndividualIntegerData.java
View File

@ -1,5 +1,6 @@
package javaeva.server.go.individuals;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.operators.crossover.CrossoverESDefault;
import javaeva.server.go.operators.mutation.InterfaceMutation;
import javaeva.server.go.operators.mutation.MutateESGlobal;
@ -287,22 +288,6 @@ public class ESIndividualIntegerData extends AbstractEAIndividual implements Int
if (this.m_Genotype[mutationIndex] > this.m_Range[mutationIndex][1]) this.m_Genotype[mutationIndex] = this.m_Range[mutationIndex][1];
}
// /** This method will set the range of the double attributes. If range.length
// * does not equal doubledata.length only range[i] will be used to set all
// * ranges.
// * @param range The new range for the double data.
// */
// public void SetDoubleRange(double[][] range) {
// if (range.length != this.m_Range.length) {
// System.out.println("Warning: Trying to set a range of length " + range.length + " to a vector of length "
// + this.m_Range.length + "!\n Use method setDoubleDataLength first!");
// }
// for (int i = 0; ((i < this.m_Range.length) && (i < range.length)); i++) {
// this.m_Range[i][0] = (int)range[i][0];
// this.m_Range[i][1] = (int)range[i][1];
// }
// }
/** This method will return the range for all double attributes.
* @return The range array.
*/

1
src/javaeva/server/go/individuals/ESIndividualPermutationData.java
View File

@ -1,5 +1,6 @@
package javaeva.server.go.individuals;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.operators.crossover.CrossoverESDefault;
import javaeva.server.go.operators.mutation.InterfaceMutation;
import javaeva.server.go.operators.mutation.MutateESGlobal;

6
src/javaeva/server/go/mocco/MOCCOParameterizeGDF.java
View File

@ -1,7 +1,7 @@
package javaeva.server.go.mocco;
import javaeva.server.go.MOCCOStandalone;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.operators.moso.MOSOWeightedFitness;
import javaeva.server.go.problems.AbstractMultiObjectiveOptimizationProblem;
@ -151,9 +151,9 @@ public class MOCCOParameterizeGDF extends MOCCOPhase implements InterfaceProcess
try {
editor.m_Value = this.m_Mocco.m_State.m_Terminator;
editor.m_Editor = PropertyEditorProvider.findEditor(editor.m_Value.getClass());
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(TerminatorInterface.class);
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(InterfaceTerminator.class);
if (editor.m_Editor instanceof GenericObjectEditor)
((GenericObjectEditor) editor.m_Editor).setClassType(TerminatorInterface.class);
((GenericObjectEditor) editor.m_Editor).setClassType(InterfaceTerminator.class);
editor.m_Editor.setValue(editor.m_Value);
this.findViewFor(editor);
if (editor.m_View != null) editor.m_View.repaint();

6
src/javaeva/server/go/mocco/MOCCOParameterizeMO.java
View File

@ -1,7 +1,7 @@
package javaeva.server.go.mocco;
import javaeva.server.go.MOCCOStandalone;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.populations.Population;
import javaeva.server.go.strategies.GeneticAlgorithm;
import javaeva.server.go.strategies.InterfaceOptimizer;
@ -108,9 +108,9 @@ public class MOCCOParameterizeMO extends MOCCOPhase implements InterfaceProcessE
try {
editor.m_Value = this.m_Mocco.m_State.m_Terminator;
editor.m_Editor = PropertyEditorProvider.findEditor(editor.m_Value.getClass());
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(TerminatorInterface.class);
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(InterfaceTerminator.class);
if (editor.m_Editor instanceof GenericObjectEditor)
((GenericObjectEditor) editor.m_Editor).setClassType(TerminatorInterface.class);
((GenericObjectEditor) editor.m_Editor).setClassType(InterfaceTerminator.class);
editor.m_Editor.setValue(editor.m_Value);
this.findViewFor(editor);
if (editor.m_View != null) editor.m_View.repaint();

6
src/javaeva/server/go/mocco/MOCCOParameterizeRefPoint.java
View File

@ -1,7 +1,7 @@
package javaeva.server.go.mocco;
import javaeva.server.go.MOCCOStandalone;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.migration.SOBestMigration;
import javaeva.server.go.operators.moso.MOSOLpMetric;
import javaeva.server.go.problems.AbstractMultiObjectiveOptimizationProblem;
@ -158,9 +158,9 @@ public class MOCCOParameterizeRefPoint extends MOCCOPhase implements InterfacePr
try {
editor.m_Value = this.m_Mocco.m_State.m_Terminator;
editor.m_Editor = PropertyEditorProvider.findEditor(editor.m_Value.getClass());
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(TerminatorInterface.class);
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(InterfaceTerminator.class);
if (editor.m_Editor instanceof GenericObjectEditor)
((GenericObjectEditor) editor.m_Editor).setClassType(TerminatorInterface.class);
((GenericObjectEditor) editor.m_Editor).setClassType(InterfaceTerminator.class);
editor.m_Editor.setValue(editor.m_Value);
this.findViewFor(editor);
if (editor.m_View != null) editor.m_View.repaint();

6
src/javaeva/server/go/mocco/MOCCOParameterizeSO.java
View File

@ -1,7 +1,7 @@
package javaeva.server.go.mocco;
import javaeva.server.go.MOCCOStandalone;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.strategies.GeneticAlgorithm;
import javaeva.server.go.strategies.InterfaceOptimizer;
import javaeva.server.go.strategies.MultiObjectiveEA;
@ -96,9 +96,9 @@ public class MOCCOParameterizeSO extends MOCCOPhase implements InterfaceProcessE
try {
editor.m_Value = this.m_Mocco.m_State.m_Terminator;
editor.m_Editor = PropertyEditorProvider.findEditor(editor.m_Value.getClass());
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(TerminatorInterface.class);
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(InterfaceTerminator.class);
if (editor.m_Editor instanceof GenericObjectEditor)
((GenericObjectEditor) editor.m_Editor).setClassType(TerminatorInterface.class);
((GenericObjectEditor) editor.m_Editor).setClassType(InterfaceTerminator.class);
editor.m_Editor.setValue(editor.m_Value);
this.findViewFor(editor);
if (editor.m_View != null) editor.m_View.repaint();

6
src/javaeva/server/go/mocco/MOCCOParameterizeSTEP.java
View File

@ -1,7 +1,7 @@
package javaeva.server.go.mocco;
import javaeva.server.go.MOCCOStandalone;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.operators.moso.MOSOWeightedFitness;
import javaeva.server.go.problems.AbstractMultiObjectiveOptimizationProblem;
@ -186,9 +186,9 @@ public class MOCCOParameterizeSTEP extends MOCCOPhase implements InterfaceProces
try {
editor.m_Value = this.m_Mocco.m_State.m_Terminator;
editor.m_Editor = PropertyEditorProvider.findEditor(editor.m_Value.getClass());
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(TerminatorInterface.class);
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(InterfaceTerminator.class);
if (editor.m_Editor instanceof GenericObjectEditor)
((GenericObjectEditor) editor.m_Editor).setClassType(TerminatorInterface.class);
((GenericObjectEditor) editor.m_Editor).setClassType(InterfaceTerminator.class);
editor.m_Editor.setValue(editor.m_Value);
this.findViewFor(editor);
if (editor.m_View != null) editor.m_View.repaint();

6
src/javaeva/server/go/mocco/MOCCOParameterizeTchebycheff.java
View File

@ -1,7 +1,7 @@
package javaeva.server.go.mocco;
import javaeva.server.go.MOCCOStandalone;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.migration.SOBestMigration;
import javaeva.server.go.operators.moso.MOSOWeightedLPTchebycheff;
import javaeva.server.go.problems.AbstractMultiObjectiveOptimizationProblem;
@ -133,9 +133,9 @@ public class MOCCOParameterizeTchebycheff extends MOCCOPhase implements Interfac
try {
editor.m_Value = this.m_Mocco.m_State.m_Terminator;
editor.m_Editor = PropertyEditorProvider.findEditor(editor.m_Value.getClass());
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(TerminatorInterface.class);
if (editor.m_Editor == null) editor.m_Editor = PropertyEditorProvider.findEditor(InterfaceTerminator.class);
if (editor.m_Editor instanceof GenericObjectEditor)
((GenericObjectEditor) editor.m_Editor).setClassType(TerminatorInterface.class);
((GenericObjectEditor) editor.m_Editor).setClassType(InterfaceTerminator.class);
editor.m_Editor.setValue(editor.m_Value);
this.findViewFor(editor);
if (editor.m_View != null) editor.m_View.repaint();

4
src/javaeva/server/go/mocco/MOCCOState.java
View File

@ -1,6 +1,6 @@
package javaeva.server.go.mocco;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.operators.archiving.ArchivingAllDominating;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
@ -31,7 +31,7 @@ public class MOCCOState {
public transient boolean isVisible = false;
public InterfaceOptimizer m_Optimizer = new MultiObjectiveEA();
public InterfaceOptimizer m_BackupOptimizer;
public TerminatorInterface m_Terminator = new EvaluationTerminator();
public InterfaceTerminator m_Terminator = new EvaluationTerminator();
public InterfaceOptimizationProblem m_OriginalProblem = null;
public InterfaceOptimizationProblem m_CurrentProblem;
public InterfaceOptimizationProblem m_BackupProblem;

2
src/javaeva/server/go/operators/crossover/CrossoverESSPX.java
View File

@ -186,7 +186,7 @@ public class CrossoverESSPX implements InterfaceCrossover, java.io.Serializable
F1Problem prob = new F1Problem();
int n = 2;
RandomNumberGenerator.setseed(1);
RandomNumberGenerator.setRandomSeed(1);
// init individual
indy1 = new ESIndividualDoubleData();
double[][] range = new double[n][2];

2
src/javaeva/server/go/operators/crossover/CrossoverESUNDX.java
View File

@ -286,7 +286,7 @@ public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable
F1Problem prob = new F1Problem();
int n = 2;
RandomNumberGenerator.setseed(1);
RandomNumberGenerator.setRandomSeed(1);
// init individual
indy1 = new ESIndividualDoubleData();
double[][] range = new double[n][2];

80
src/javaeva/server/go/operators/distancemetric/PhenotypeMetric.java
View File

@ -1,5 +1,6 @@
package javaeva.server.go.operators.distancemetric;
import javaeva.gui.BeanInspector;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.individuals.InterfaceDataTypeBinary;
import javaeva.server.go.individuals.InterfaceDataTypeDouble;
@ -20,6 +21,7 @@ import java.util.BitSet;
* To change this template use File | Settings | File Templates.
*/
public class PhenotypeMetric implements InterfaceDistanceMetric, java.io.Serializable {
private static PhenotypeMetric pMetric = null;
public PhenotypeMetric() {
}
@ -31,11 +33,11 @@ public class PhenotypeMetric implements InterfaceDistanceMetric, java.io.Seriali
return (Object) new PhenotypeMetric(this);
}
private int Minimum (int a, int b, int c) {
private static int min(int a, int b, int c) {
return Math.min(Math.min(a, b), c);
}
private int computeLevenshteinDistance (String s, String t) {
private static int computeLevenshteinDistance (String s, String t) {
int d[][]; // matrix
int n; // length of s
int m; // length of t
@ -69,7 +71,7 @@ public class PhenotypeMetric implements InterfaceDistanceMetric, java.io.Seriali
cost = 1;
}
// Step 6
d[i][j] = Minimum (d[i-1][j]+1, d[i][j-1]+1, d[i-1][j-1] + cost);
d[i][j] = min(d[i-1][j]+1, d[i][j-1]+1, d[i-1][j-1] + cost);
}
}
// Step 7
@ -107,33 +109,34 @@ public class PhenotypeMetric implements InterfaceDistanceMetric, java.io.Seriali
d2 = ((InterfaceDataTypeInteger) indy2).getIntegerData();
r2 = ((InterfaceDataTypeInteger) indy2).getIntRange();
for (int i = 0; (i < d1.length) && (i < d2.length); i++) {
tmpResult += Math.abs(d1[i] - d2[i])/((double)(r1[i][1]-r1[i][0]));
tmpResult += Math.pow(((d1[i] - r1[i][0])/((double)(r1[i][1]-r1[i][0]))) - ( (d2[i] - r2[i][0])/((double)(r2[i][1]-r2[i][0]))), 2);
//tmpResult += Math.abs(d1[i] - d2[i])/((double)(r1[i][1]-r1[i][0]));
}
result += Math.sqrt(tmpResult);
}
if ((indy1 instanceof InterfaceDataTypeDouble) && (indy2 instanceof InterfaceDataTypeDouble)) {
double[] dIndy1, dIndy2;
double[][] range1, range2;
double[] d1, d2;
double[][] r1, r2;
double tmpResult = 0;
dIndy1 = ((InterfaceDataTypeDouble) indy1).getDoubleData();
range1 = ((InterfaceDataTypeDouble) indy1).getDoubleRange();
dIndy2 = ((InterfaceDataTypeDouble) indy2).getDoubleData();
range2 = ((InterfaceDataTypeDouble) indy2).getDoubleRange();
for (int i = 0; (i < dIndy1.length) && (i < dIndy2.length); i++) {
tmpResult += Math.pow(((dIndy1[i] - range1[i][0])/(range1[i][1] - range1[i][0])) - ((dIndy2[i] - range2[i][0])/(range2[i][1] - range2[i][0])), 2);
d1 = ((InterfaceDataTypeDouble) indy1).getDoubleData();
r1 = ((InterfaceDataTypeDouble) indy1).getDoubleRange();
d2 = ((InterfaceDataTypeDouble) indy2).getDoubleData();
r2 = ((InterfaceDataTypeDouble) indy2).getDoubleRange();
for (int i = 0; (i < d1.length) && (i < d2.length); i++) {
tmpResult += Math.pow(((d1[i] - r1[i][0])/(r1[i][1] - r1[i][0])) - ((d2[i] - r2[i][0])/(r2[i][1] - r2[i][0])), 2);
}
result += Math.sqrt(tmpResult);
}
if ((indy1 instanceof InterfaceDataTypePermutation) && (indy2 instanceof InterfaceDataTypePermutation)) {
int[] dIndy1, dIndy2;
String s1 = "", s2 = "";
double tmpResult = 0;
// double tmpResult = 0;
for (int p = 0; p < ((InterfaceDataTypePermutation) indy1).getPermutationData().length; p++) {
dIndy1 = ((InterfaceDataTypePermutation) indy1).getPermutationData()[p];
dIndy2 = ((InterfaceDataTypePermutation) indy2).getPermutationData()[p];
for (int i = 0; i < dIndy1.length; i++) s1 += dIndy1[i];
for (int i = 0; i < dIndy2.length; i++) s2 += dIndy2[i];
result += this.computeLevenshteinDistance(s1, s2)/((double)Math.max(s1.length(), s2.length()));
result += PhenotypeMetric.computeLevenshteinDistance(s1, s2)/((double)Math.max(s1.length(), s2.length()));
}
}
if ((indy1 instanceof InterfaceDataTypeProgram) && (indy2 instanceof InterfaceDataTypeProgram)) {
@ -143,13 +146,22 @@ public class PhenotypeMetric implements InterfaceDistanceMetric, java.io.Seriali
for (int i = 0; i < l1; i++) {
s1 = ((InterfaceDataTypeProgram)indy1).getProgramData()[i].getStringRepresentation();
s2 = ((InterfaceDataTypeProgram)indy2).getProgramData()[i].getStringRepresentation();
result += this.computeLevenshteinDistance(s1, s2)/((double)Math.max(s1.length(), s2.length()));
result += PhenotypeMetric.computeLevenshteinDistance(s1, s2)/((double)Math.max(s1.length(), s2.length()));
}
}
return result;
}
/** This method allows you to compute the distance between two individuals.
* Depending on the metric this method may reject some types of individuals.
* The default return value would be 1.0.
* @param indy1 The first individual.
* @param indy2 The second individual.
* @return double
*/
public static double dist(AbstractEAIndividual indy1, AbstractEAIndividual indy2) {
if (pMetric == null) pMetric = new PhenotypeMetric();
return pMetric.distance(indy1, indy2);
}
public static double euclidianDistance(double[] v1, double[] v2) {
@ -160,6 +172,40 @@ public class PhenotypeMetric implements InterfaceDistanceMetric, java.io.Seriali
return Math.sqrt(result);
}
public static double norm(AbstractEAIndividual indy) {
double result = 0;
if (indy instanceof InterfaceDataTypeBinary) {
BitSet bs = (BitSet)((InterfaceDataTypeBinary)indy).getBinaryData();
for (int i = 0; (i < ((InterfaceDataTypeBinary)indy).size()) ; i++) {
if (bs.get(i)) result += 1;
}
result = result/((InterfaceDataTypeBinary)indy).size();
return result;
}
if (indy instanceof InterfaceDataTypeInteger) {
int[] d1 = ((InterfaceDataTypeInteger) indy).getIntegerData();
for (int i = 0; i < d1.length; i++) {
result += d1[i];
}
return result/d1.length;
}
if (indy instanceof InterfaceDataTypeDouble) {
result = norm(((InterfaceDataTypeDouble) indy).getDoubleData());
return result;
}
if (indy instanceof InterfaceDataTypePermutation) {
// TODO hard to find a norm for permutations. As we use the levenshtein distance metric,
// the normed distance to the empty permutaton is always one...
return 1;
}
if (indy instanceof InterfaceDataTypeProgram) {
// TODO same as for permutations
return 1;
}
System.err.println("error: unknown individual interface in PhenotypeMetric::norm " + BeanInspector.toString(indy));
return 0;
}
public static double norm(double[] v1) {
double result = 0;
for (int i = 0; i < v1.length; i++) {

60
src/javaeva/server/go/operators/terminators/CombinedTerminator.java
View File

@ -1,18 +1,20 @@
package javaeva.server.go.operators.terminators;
import java.beans.BeanInfo;
import java.io.Serializable;
import javaeva.gui.BeanInspector;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.tools.SelectedTag;
public class CombinedTerminator implements TerminatorInterface, Serializable {
public class CombinedTerminator implements InterfaceTerminator, Serializable {
/**
*
*/
private static final long serialVersionUID = -4748749151972645021L;
private TerminatorInterface t1 = new ConvergenceTerminator();
private TerminatorInterface t2 = new EvaluationTerminator();
private InterfaceTerminator t1 = new FitnessConvergenceTerminator();
private InterfaceTerminator t2 = new EvaluationTerminator();
private SelectedTag andOrTag = new SelectedTag("OR", "AND");
/**
@ -20,6 +22,16 @@ public class CombinedTerminator implements TerminatorInterface, Serializable {
*/
public CombinedTerminator() {}
/**
* Convenience constructor combining the given terminators in the expected way.
*
*/
public CombinedTerminator(InterfaceTerminator t1, InterfaceTerminator t2, boolean bAnd) {
this.t1 = t1;
this.t2 = t2;
andOrTag.setSelectedTag(bAnd ? "AND" : "OR");
}
public String globalInfo() {
return "Boolean combination of two terminators.";
}
@ -29,23 +41,43 @@ public class CombinedTerminator implements TerminatorInterface, Serializable {
if (t2 != null) t2.init();
}
public boolean isTerminated(PopulationInterface Pop) {
public boolean isTerminated(PopulationInterface pop) {
boolean ret;
if ((t1 == null) && (t2 == null)) {
System.err.println("Error: No terminator set in CombinedTerminator");
return true;
}
if (t1 == null) return t2.isTerminated(Pop);
if (t2 == null) return t1.isTerminated(Pop);
if (t1 == null) return t2.isTerminated(pop);
if (t2 == null) return t1.isTerminated(pop);
if (andOrTag.isSelectedString("AND")) {
ret = t1.isTerminated(Pop) && t2.isTerminated(Pop);
} else {
ret = t1.isTerminated(Pop) || t2.isTerminated(Pop);
// make sure that both terminators are triggered by every call, because some judge
// time-dependently and store information on the population.
ret = t1.isTerminated(pop);
ret = ret && t2.isTerminated(pop);
} else { // OR
// make sure that both terminators are triggered by every call, because some judge
// time-dependently and store information on the population.
ret = t1.isTerminated(pop);
ret = ret || t2.isTerminated(pop);
}
return ret;
}
public String terminatedBecause(PopulationInterface pop) {
if (isTerminated(pop)) {
if (andOrTag.isSelectedString("AND")) {
return "Terminated because both: " + t1.terminatedBecause(pop) + " And " + t2.terminatedBecause(pop);
} else {
if ((t1 != null) && (t1.isTerminated(pop))) {
return t1.terminatedBecause(pop);
} else {
return t2.terminatedBecause(pop);
}
}
} else return "not terminated";
}
/**
* @return the andOrTag
*/
@ -67,14 +99,14 @@ public class CombinedTerminator implements TerminatorInterface, Serializable {
/**
* @return the t1
*/
public TerminatorInterface getTerminatorOne() {
public InterfaceTerminator getTerminatorOne() {
return t1;
}
/**
* @param t1 the t1 to set
*/
public void setTerminatorOne(TerminatorInterface t1) {
public void setTerminatorOne(InterfaceTerminator t1) {
this.t1 = t1;
}
@ -85,14 +117,14 @@ public class CombinedTerminator implements TerminatorInterface, Serializable {
/**
* @return the t2
*/
public TerminatorInterface getTerminatorTwo() {
public InterfaceTerminator getTerminatorTwo() {
return t2;
}
/**
* @param t2 the t2 to set
*/
public void setTerminatorTwo(TerminatorInterface t2) {
public void setTerminatorTwo(InterfaceTerminator t2) {
this.t2 = t2;
}

174
src/javaeva/server/go/operators/terminators/ConvergenceTerminator.java
View File

@ -1,174 +0,0 @@
package javaeva.server.go.operators.terminators;
/*
* Title: JavaEvA
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture
* @author Holger Ulmer, Felix Streichert, Hannes Planatscher
* @version: $Revision: 319 $
* $Date: 2007-12-05 11:29:32 +0100 (Wed, 05 Dec 2007) $
* $Author: mkron $
*/
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import java.io.Serializable;
import javaeva.gui.BeanInspector;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.operators.distancemetric.PhenotypeMetric;
import javaeva.tools.SelectedTag;
/*==========================================================================*
* CLASS DECLARATION
*==========================================================================*/
/**
*
*/
public class ConvergenceTerminator implements TerminatorInterface,
Serializable {
/**
*
*/
private static final long serialVersionUID = 5749620193474954959L;
private double m_percent = 0.01;
private int m_stagTime = 100;
private int popFitCalls = 1000;
private int popGens = 1000;
private boolean firstTime = true;
private double[] oldFit;
private double oldFitNorm;
private SelectedTag stagnationMeasure = new SelectedTag("Fitness calls", "Generations");
/**
*
*/
public ConvergenceTerminator() {
}
/**
*
*/
public String globalInfo() {
return "Stop if a convergence criterion has been met.";
}
/**
*
* @return
*/
public void init() {
firstTime = true;
}
/**
*
*/
public boolean isTerminated(PopulationInterface Pop) {
if (!firstTime && isStillConverged(Pop.getBestFitness())) {
if (stagnationTimeHasPassed(Pop)) {
// population hasnt improved much for max time, criterion is met
return true;
} else {
// population hasnt improved much for i<max time, keep running
return false;
}
} else {
// first call at all - or population improved more than "allowed" to terminate
oldFit = Pop.getBestFitness();
oldFitNorm = PhenotypeMetric.norm(oldFit);
popFitCalls = Pop.getFunctionCalls();
popGens = Pop.getGenerations();
firstTime = false;
return false;
}
}
/**
* Return true if |oldFit - curFit| < |oldFit| * p%
* @param curFit
* @return
*/
private boolean isStillConverged(double[] curFit) {
double dist = PhenotypeMetric.euclidianDistance(oldFit, curFit);
// System.out.println("isStillConverged returns " + (dist < (oldFitNorm * m_percent)) + ", dist " + dist + ", old norm " + oldFitNorm + ", ratio " + (dist/oldFitNorm));
return (dist < (oldFitNorm * m_percent));
}
private boolean stagnationTimeHasPassed(PopulationInterface pop) {
if (stagnationMeasure.isSelectedString("Fitness calls")) { // by fitness calls
// System.out.println("stagnationTimeHasPassed returns " + ((pop.getFunctionCalls() - popFitCalls) >= m_stagTime) + " after " + (pop.getFunctionCalls() - popFitCalls));
return (pop.getFunctionCalls() - popFitCalls) >= m_stagTime;
} else {// by generation
// System.out.println("stagnationTimeHasPassed returns " + ((pop.getFunctionCalls() - popGens) >= m_stagTime) + " after " + (pop.getFunctionCalls() - popGens));
return (pop.getGenerations() - popGens) >= m_stagTime;
}
}
/**
*
*/
// public String toString() {
// return BeanTest.toString(this);
// }
/**
*
*/
public void setFitnessPerCent(double x) {
m_percent = x;
}
/**
*
*/
public double getFitnessPerCent() {
return m_percent;
}
public String fitnessPerCentTipText() {
return "Terminate if the fitness has not improved by this percentage for a whole stagnation time period";
}
/**
*
*/
public void setStagnationTime(int k) {
m_stagTime = k;
}
/**
*
*/
public int getStagnationTime() {
return m_stagTime;
}
public String stagnationTimeTipText() {
return "Terminate if the population has not improved for this time";
}
/**
* @return the stagnationTimeIn
*/
public SelectedTag getStagnationMeasure() {
return stagnationMeasure;
}
/**
* @param stagnationTimeIn the stagnationTimeIn to set
*/
public void setStagnationMeasure(SelectedTag stagnationTimeIn) {
this.stagnationMeasure = stagnationTimeIn;
}
public String stagnationMeasureTipText() {
return "Stagnation time is measured in fitness calls or generations, to be selected here.";
}
}

13
src/javaeva/server/go/operators/terminators/EvaluationTerminator.java
View File

@ -15,14 +15,14 @@ package javaeva.server.go.operators.terminators;
import java.io.Serializable;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
/*==========================================================================*
* CLASS DECLARATION
*==========================================================================*/
/**
*
*/
public class EvaluationTerminator implements TerminatorInterface,
public class EvaluationTerminator implements InterfaceTerminator,
Serializable {
/**
* Number of fitness calls on the problem which is optimized.
@ -49,12 +49,17 @@ public class EvaluationTerminator implements TerminatorInterface,
/**
*
*/
public boolean isTerminated(PopulationInterface Pop) {
public boolean isTerminated(PopulationInterface pop) {
//System.out.println("m_FitnessCalls="+m_FitnessCalls);
if (m_FitnessCalls>Pop.getFunctionCalls())
if (m_FitnessCalls>pop.getFunctionCalls())
return false;
return true;
}
public String terminatedBecause(PopulationInterface pop) {
if (isTerminated(pop)) return m_FitnessCalls + " fitness calls were reached.";
else return "Not yet terminated.";
}
/**
*
*/

225
src/javaeva/server/go/operators/terminators/FitnessConvergenceTerminator.java Normal file
View File

@ -0,0 +1,225 @@
package javaeva.server.go.operators.terminators;
/*
* Title: JavaEvA
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture
* @author Holger Ulmer, Felix Streichert, Hannes Planatscher
* @version: $Revision: 319 $
* $Date: 2007-12-05 11:29:32 +0100 (Wed, 05 Dec 2007) $
* $Author: mkron $
*/
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import java.io.Serializable;
import javaeva.gui.BeanInspector;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.operators.distancemetric.PhenotypeMetric;
import javaeva.tools.SelectedTag;
/*==========================================================================*
* CLASS DECLARATION
*==========================================================================*/
/**
*
*/
public class FitnessConvergenceTerminator implements InterfaceTerminator,
Serializable {
private static final long serialVersionUID = 5749620193474954959L;
protected static boolean TRACE = false;
protected double convThresh = 0.01;
protected int m_stagTime = 100;
protected int popFitCalls = 1000;
protected int popGens = 1000;
protected boolean firstTime = true;
protected double[] oldFit;
protected double oldNorm;
private SelectedTag stagnationMeasure = new SelectedTag("Fitness calls", "Generations");
private SelectedTag convergenceCondition = new SelectedTag("Relative", "Absolute");
PhenotypeMetric pMetric = null;
public FitnessConvergenceTerminator() {
pMetric = new PhenotypeMetric();
}
public FitnessConvergenceTerminator(double thresh, int stagnTime, boolean bFitCallBased, boolean bAbsolute) {
pMetric = new PhenotypeMetric();
convThresh = thresh;
this.m_stagTime = stagnTime;
if (bFitCallBased) stagnationMeasure.setSelectedTag("Fitness calls");
else stagnationMeasure.setSelectedTag("Generations");
if (bAbsolute) convergenceCondition.setSelectedTag("Absolute");
else convergenceCondition.setSelectedTag("Relative");
}
/**
*
*/
public String globalInfo() {
return "Stop if a fitness convergence criterion has been met.";
}
public void init() {
if (pMetric == null) pMetric = new PhenotypeMetric();
firstTime = true;
}
public boolean isTerminated(PopulationInterface Pop) {
if (!firstTime && isStillConverged(Pop.getBestIndividual())) {
if (stagnationTimeHasPassed(Pop)) {
// population hasnt improved much for max time, criterion is met
return true;
} else {
// population hasnt improved much for i<max time, keep running
return false;
}
} else {
// first call at all - or population improved more than "allowed" to terminate
saveState(Pop);
return false;
}
}
public String terminatedBecause(PopulationInterface pop) {
if (isTerminated(pop)) {
return getTerminationMessage("Fitness converged");
} else return "Not yet terminated.";
}
protected String getTerminationMessage(String prefix) {
StringBuffer sb = new StringBuffer(prefix);
if (convergenceCondition.isSelectedString("Relative")) sb.append(" relatively below ");
else sb.append(" absolutely below ");
sb.append(convThresh);
sb.append(" for ");
sb.append(m_stagTime);
if (stagnationMeasure.isSelectedString("Generations")) sb.append(" generations.");
else sb.append(" function calls.");
return sb.toString();
}
protected void saveState(PopulationInterface Pop) {
oldFit = Pop.getBestFitness();
oldNorm = PhenotypeMetric.norm(oldFit);
popFitCalls = Pop.getFunctionCalls();
popGens = Pop.getGenerations();
firstTime = false;
}
/**
* Return true if |oldFit - curFit| < |oldFit| * thresh% (relative case)
* and if |oldFit - curFit| < thresh (absolute case).
*
* @param curFit
* @return
*/
protected boolean isStillConverged(IndividualInterface indy) {
double[] curFit = indy.getFitness();
double dist = PhenotypeMetric.euclidianDistance(oldFit, curFit);
boolean ret;
if (convergenceCondition.isSelectedString("Relative")) {
ret = (dist < (oldNorm * convThresh));
} else {
ret = (dist < convThresh);
}
if (TRACE) System.out.println("isStillConverged returns " + ret + ", dist " + dist + ", old fit " + BeanInspector.toString(oldFit) + ", curFit " + BeanInspector.toString(curFit));
return ret;
}
private boolean stagnationTimeHasPassed(PopulationInterface pop) {
if (stagnationMeasure.isSelectedString("Fitness calls")) { // by fitness calls
// System.out.println("stagnationTimeHasPassed returns " + ((pop.getFunctionCalls() - popFitCalls) >= m_stagTime) + " after " + (pop.getFunctionCalls() - popFitCalls));
return (pop.getFunctionCalls() - popFitCalls) >= m_stagTime;
} else {// by generation
// System.out.println("stagnationTimeHasPassed returns " + ((pop.getFunctionCalls() - popGens) >= m_stagTime) + " after " + (pop.getFunctionCalls() - popGens));
return (pop.getGenerations() - popGens) >= m_stagTime;
}
}
/**
*
*/
// public String toString() {
// return BeanTest.toString(this);
// }
/**
*
*/
public void setConvergenceThreshold(double x) {
convThresh = x;
}
/**
*
*/
public double getConvergenceThreshold() {
return convThresh;
}
public String convergenceThresholdTipText() {
return "Terminate if the fitness has not improved by this percentage / absolute value for a whole stagnation time period";
}
/**
*
*/
public void setStagnationTime(int k) {
m_stagTime = k;
}
/**
*
*/
public int getStagnationTime() {
return m_stagTime;
}
public String stagnationTimeTipText() {
return "Terminate if the population has not improved for this time";
}
/**
* @return the stagnationTimeIn
*/
public SelectedTag getStagnationMeasure() {
return stagnationMeasure;
}
/**
* @param stagnationTimeIn the stagnationTimeIn to set
*/
public void setStagnationMeasure(SelectedTag stagnationTimeIn) {
this.stagnationMeasure = stagnationTimeIn;
}
public String stagnationMeasureTipText() {
return "Stagnation time is measured in fitness calls or generations, to be selected here.";
}
/**
* @return the convergenceCondition
*/
public SelectedTag getConvergenceCondition() {
return convergenceCondition;
}
/**
* @param convergenceCondition the convergenceCondition to set
*/
public void setConvergenceCondition(SelectedTag convergenceCondition) {
this.convergenceCondition = convergenceCondition;
}
public String convergenceConditionTipText() {
return "Select between absolute and relative convergence condition";
}
}

28
src/javaeva/server/go/operators/terminators/FitnessValueTerminator.java
View File

@ -14,16 +14,17 @@ package javaeva.server.go.operators.terminators;
*==========================================================================*/
import java.io.Serializable;
import javaeva.gui.BeanInspector;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
/*==========================================================================*
* CLASS DECLARATION
*==========================================================================*/
* CLASS DECLARATION
*==========================================================================*/
/**
*
*/
public class FitnessValueTerminator implements TerminatorInterface,
Serializable {
public class FitnessValueTerminator implements InterfaceTerminator,
Serializable {
protected double[] m_FitnessValue;
/**
*
@ -49,10 +50,19 @@ public class FitnessValueTerminator implements TerminatorInterface,
*
*/
public boolean isTerminated(PopulationInterface Pop) {
if (m_FitnessValue[0]<Pop.getBestFitness()[0])
return false;
double[] fit = Pop.getBestFitness();
for (int i = 0; i < fit.length; i++) {
if (m_FitnessValue[i]>fit[i]) return false;
}
return true;
}
public String terminatedBecause(PopulationInterface pop) {
if (isTerminated(pop)) {
return "Fitness value below " + BeanInspector.toString(m_FitnessValue);
} else return "Not yet terminated.";
}
/**
*
*/
@ -72,4 +82,8 @@ public class FitnessValueTerminator implements TerminatorInterface,
public double[] getFitnessValue() {
return m_FitnessValue;
}
public String fitnessValueTipText() {
return "Set the fitness objective value.";
}
}

11
src/javaeva/server/go/operators/terminators/GenerationTerminator.java
View File

@ -14,15 +14,16 @@ package javaeva.server.go.operators.terminators;
*==========================================================================*/
import java.io.Serializable;
import javaeva.gui.BeanInspector;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
/*==========================================================================*
* CLASS DECLARATION
*==========================================================================*/
/**
*
*/
public class GenerationTerminator implements TerminatorInterface,
public class GenerationTerminator implements InterfaceTerminator,
Serializable {
/**
* Number of fitnness calls on the problem which is optimized
@ -48,6 +49,12 @@ public class GenerationTerminator implements TerminatorInterface,
return true;
return false;
}
public String terminatedBecause(PopulationInterface pop) {
if (isTerminated(pop)) {
return m_Generations + " generations reached.";
} else return "Not yet terminated.";
}
/**
*
*/

128
src/javaeva/server/go/problems/AbstractOptimizationProblem.java
View File

@ -1,20 +1,22 @@
package javaeva.server.go.problems;
import java.awt.BorderLayout;
import java.util.BitSet;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.individuals.InterfaceDataTypeBinary;
import javaeva.server.go.individuals.InterfaceDataTypeDouble;
import javaeva.server.go.individuals.InterfaceDataTypeInteger;
import javaeva.server.go.individuals.InterfaceDataTypePermutation;
import javaeva.server.go.individuals.InterfaceDataTypeProgram;
import javaeva.server.go.individuals.codings.gp.InterfaceProgram;
import javaeva.server.go.operators.moso.MOSONoConvert;
import javaeva.server.go.populations.Population;
import javaeva.server.go.strategies.InterfaceOptimizer;
import javax.swing.*;
import java.util.BitSet;
import java.awt.*;
import javax.swing.JComponent;
import javax.swing.JPanel;
import javax.swing.JScrollPane;
import javax.swing.JTextArea;
/**
* Created by IntelliJ IDEA.
@ -156,120 +158,20 @@ public abstract class AbstractOptimizationProblem implements InterfaceOptimizati
/******************** Some output methods *******************************************/
/** This method allows you to output a string that describes a found solution
* in a way that is most suiteable for a given problem.
* in a way that is most suitable for a given problem.
* @param individual The individual that is to be shown.
* @return The description.
*/
public String getSolutionRepresentationFor(AbstractEAIndividual individual) {
StringBuffer sb = new StringBuffer("Individual:\n");
if (individual instanceof InterfaceDataTypeBinary) {
sb.append("Binary data : {");
BitSet b = ((InterfaceDataTypeBinary)individual).getBinaryData();
for (int i = 0; i < b.length(); i++) {
if (b.get(i)) sb.append("1");
else sb.append("0");
}
sb.append("}\n");
}
if (individual instanceof InterfaceDataTypeInteger) {
sb.append("Integer data : {");
int[] b = ((InterfaceDataTypeInteger)individual).getIntegerData();
for (int i = 0; i < b.length; i++) {
sb.append(b[i]);
if ((i+1) < b.length) sb.append("; ");
}
sb.append("}\n");
}
if (individual instanceof InterfaceDataTypeDouble) {
sb.append("Double data : {");
double[] b = ((InterfaceDataTypeDouble)individual).getDoubleData();
for (int i = 0; i < b.length; i++) {
sb.append(b[i]);
if ((i+1) < b.length) sb.append("; ");
}
sb.append("}\n");
}
if (individual instanceof InterfaceDataTypePermutation) {
sb.append("Permutation data: {");
int[] b = ((InterfaceDataTypePermutation)individual).getPermutationData()[0];
for (int i = 0; i < b.length; i++) {
sb.append(b[i]);
if ((i+1) < b.length) sb.append("; ");
}
sb.append("}\n");
}
if (individual instanceof InterfaceDataTypeProgram) {
sb.append("Program data : ");
InterfaceProgram[] b = ((InterfaceDataTypeProgram)individual).getProgramData();
for (int i = 0; i < b.length; i++) {
sb.append(b[i].getStringRepresentation());
if ((i+1) < b.length) sb.append("; ");
}
sb.append("}");
}
double[] fitness = individual.getFitness();
sb.append("Fitness : {");
for (int i = 0; i < fitness.length; i++) {
sb.append(fitness[i]);
if ((i+1) < fitness.length) sb.append("; ");
}
sb.append("}\n");
return sb.toString();
return AbstractEAIndividual.getDefaultStringRepresentation(individual);
}
/** This method returns a single line representation of the solution
* @param individual The individual
* @return The string
*/
public String getSolutionDataFor(AbstractEAIndividual individual) {
StringBuffer sb = new StringBuffer("");
if (individual instanceof InterfaceDataTypeBinary) {
sb.append("{");
BitSet b = ((InterfaceDataTypeBinary)individual).getBinaryData();
for (int i = 0; i < b.length(); i++) {
if (b.get(i)) sb.append("1");
else sb.append("0");
}
sb.append("}");
}
if (individual instanceof InterfaceDataTypeInteger) {
sb.append("{");
int[] b = ((InterfaceDataTypeInteger)individual).getIntegerData();
for (int i = 0; i < b.length; i++) {
sb.append(b[i]);
if ((i+1) < b.length) sb.append("; ");
}
sb.append("}");
}
if (individual instanceof InterfaceDataTypeDouble) {
sb.append("{");
double[] b = ((InterfaceDataTypeDouble)individual).getDoubleData();
for (int i = 0; i < b.length; i++) {
sb.append(b[i]);
if ((i+1) < b.length) sb.append("; ");
}
sb.append("}");
}
if (individual instanceof InterfaceDataTypePermutation) {
sb.append("{");
int[] b = ((InterfaceDataTypePermutation)individual).getPermutationData()[0];
for (int i = 0; i < b.length; i++) {
sb.append(b[i]);
if ((i+1) < b.length) sb.append("; ");
}
sb.append("}");
}
if (individual instanceof InterfaceDataTypeProgram) {
sb.append("{");
InterfaceProgram[] b = ((InterfaceDataTypeProgram)individual).getProgramData();
for (int i = 0; i < b.length; i++) {
sb.append(b[i].getStringRepresentation());
if ((i+1) < b.length) sb.append("; ");
}
sb.append("}");
}
return sb.toString();
}
// public String getSolutionDataFor(IndividualInterface individual) {
// }
/** This method returns a string describing the optimization problem.
* @return The description.
@ -292,7 +194,7 @@ public abstract class AbstractOptimizationProblem implements InterfaceOptimizati
* @param pop The population that is to be refined.
* @return String
*/
public String getAdditionalFileStringHeader(Population pop) {
public String getAdditionalFileStringHeader(PopulationInterface pop) {
return "Solution";
}
@ -300,8 +202,8 @@ public abstract class AbstractOptimizationProblem implements InterfaceOptimizati
* @param pop The population that is to be refined.
* @return String
*/
public String getAdditionalFileStringValue(Population pop) {
return this.getSolutionDataFor(pop.getBestEAIndividual());
public String getAdditionalFileStringValue(PopulationInterface pop) {
return AbstractEAIndividual.getDefaultDataString(pop.getBestIndividual());
}
/** This method allows you to request a graphical represenation for a given

108
src/javaeva/server/go/problems/AbstractProblemBinary.java Normal file
View File

@ -0,0 +1,108 @@
package javaeva.server.go.problems;
import java.util.BitSet;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.individuals.GAIndividualBinaryData;
import javaeva.server.go.individuals.InterfaceDataTypeBinary;
import javaeva.server.go.populations.Population;
import javaeva.server.go.strategies.InterfaceOptimizer;
public abstract class AbstractProblemBinary extends AbstractOptimizationProblem {
public AbstractProblemBinary() {
initTemplate();
}
protected void initTemplate() {
this.m_Template = new GAIndividualBinaryData();
((InterfaceDataTypeBinary)this.m_Template).setBinaryDataLength(this.getProblemDimension());
}
@Override
public Object clone() {
try {
AbstractProblemBinary prob = this.getClass().newInstance();
prob.m_Template = (AbstractEAIndividual)m_Template.clone();
return prob;
} catch(Exception e) {
System.err.println("Error: couldnt instantiate "+this.getClass().getName());
return null;
}
}
@Override
public void evaluate(AbstractEAIndividual individual) {
BitSet tmpBitSet;
double[] result;
tmpBitSet = ((InterfaceDataTypeBinary) individual).getBinaryData();
// evaluate the fitness
result = eval(tmpBitSet);
// set the fitness
individual.SetFitness(result);
}
/**
* Evaluate a double vector
* @param x
* @return
*/
public abstract double[] eval(BitSet bs);
public abstract int getProblemDimension();
@Override
public void initPopulation(Population population) {
AbstractEAIndividual tmpIndy;
population.clear();
((InterfaceDataTypeBinary)this.m_Template).setBinaryDataLength(this.getProblemDimension());
for (int i = 0; i < population.getPopulationSize(); i++) {
tmpIndy = (AbstractEAIndividual)((AbstractEAIndividual)this.m_Template).clone();
tmpIndy.init(this);
population.add(tmpIndy);
}
// population init must be last
// it set's fitcalls and generation to zero
population.init();
}
@Override
public void initProblem() {
initTemplate();
}
/**********************************************************************************************************************
* These are for GUI
*/
/** This method allows the CommonJavaObjectEditorPanel to read the
* name to the current object.
* @return The name.
*/
public String getName() {
return "SimpleProblemBinary";
}
/** This method returns a global info string
* @return description
*/
public String globalInfo() {
return "The programmer did not give further details.";
}
/** This method returns a string describing the optimization problem.
* @param opt The Optimizer that is used or had been used.
* @return The description.
*/
public String getStringRepresentationForProblem(InterfaceOptimizer opt) {
StringBuffer sb = new StringBuffer(200);
sb.append("A binary valued problem:\n");
sb.append(globalInfo());
sb.append("Dimension : ");
sb.append(this.getProblemDimension());
return sb.toString();
}
}

187
src/javaeva/server/go/problems/AbstractProblemDouble.java Normal file
View File

@ -0,0 +1,187 @@
package javaeva.server.go.problems;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.individuals.ESIndividualDoubleData;
import javaeva.server.go.individuals.InterfaceDataTypeDouble;
import javaeva.server.go.populations.Population;
import javaeva.server.go.strategies.InterfaceOptimizer;
import javaeva.server.go.tools.RandomNumberGenerator;
public abstract class AbstractProblemDouble extends AbstractOptimizationProblem {
protected double m_DefaultRange = 10;
protected double m_Noise = 0;
public AbstractProblemDouble() {
initTemplate();
}
protected void initTemplate() {
this.m_Template = new ESIndividualDoubleData();
((ESIndividualDoubleData)this.m_Template).setDoubleDataLength(getProblemDimension());
((ESIndividualDoubleData)this.m_Template).SetDoubleRange(makeRange());
}
@Override
public Object clone() {
try {
AbstractProblemDouble prob = this.getClass().newInstance();
prob.m_DefaultRange = m_DefaultRange;
prob.m_Noise = m_Noise;
prob.m_Template = (AbstractEAIndividual)m_Template.clone();
return prob;
} catch(Exception e) {
System.err.println("Error: couldnt instantiate "+this.getClass().getName());
return null;
}
}
@Override
public void evaluate(AbstractEAIndividual individual) {
double[] x;
double[] fitness;
x = new double[((InterfaceDataTypeDouble) individual).getDoubleData().length];
System.arraycopy(((InterfaceDataTypeDouble) individual).getDoubleData(), 0, x, 0, x.length);
// evaluate the vector
fitness = this.eval(x);
// if indicated, add Gaussian noise
if (m_Noise != 0) RandomNumberGenerator.addNoise(fitness, m_Noise);
// set the fitness
individual.SetFitness(fitness);
}
/**
* Evaluate a double vector
* @param x
* @return
*/
public abstract double[] eval(double[] x);
public abstract int getProblemDimension();
@Override
public void initPopulation(Population population) {
AbstractEAIndividual tmpIndy;
population.clear();
((InterfaceDataTypeDouble)this.m_Template).setDoubleDataLength(this.getProblemDimension());
((InterfaceDataTypeDouble)this.m_Template).SetDoubleRange(makeRange());
for (int i = 0; i < population.getPopulationSize(); i++) {
tmpIndy = (AbstractEAIndividual)((AbstractEAIndividual)this.m_Template).clone();
tmpIndy.init(this);
population.add(tmpIndy);
}
// population init must be last
// it set's fitcalls and generation to zero
population.init();
}
protected double[][] makeRange() {
double[][] range = new double[this.getProblemDimension()][2];
for (int i = 0; i < range.length; i++) {
range[i][0] = getRangeLowerBound(i);
range[i][1] = getRangeUpperBound(i);
}
return range;
}
protected double getRangeLowerBound(int dim) {
return -m_DefaultRange;
}
protected double getRangeUpperBound(int dim) {
return m_DefaultRange;
}
@Override
public void initProblem() {
initTemplate();
}
/** This method allows you to choose how much noise is to be added to the
* fitness. This can be used to make the optimization problem more difficult.
* @param noise The sigma for a gaussian random number.
*/
public void setNoise(double noise) {
if (noise < 0) noise = 0;
this.m_Noise = noise;
}
public double getNoise() {
return this.m_Noise;
}
public String noiseTipText() {
return "Gaussian noise level on the fitness value.";
}
/** This method allows you to choose the EA individual
* @param indy The EAIndividual type
*/
public void setEAIndividual(InterfaceDataTypeDouble indy) {
this.m_Template = (AbstractEAIndividual)indy;
}
public InterfaceDataTypeDouble getEAIndividual() {
return (InterfaceDataTypeDouble)this.m_Template;
}
public String EAIndividualTipText() {
return "Set the base individual type defining the data representation and mutation/crossover operators";
}
/**
* A (symmetric) absolute range limit.
*
* @return value of the absolute range limit
*/
public double getDefaultRange() {
return m_DefaultRange;
}
/**
* Set a (symmetric) absolute range limit.
*
* @param defaultRange
*/
public void setDefaultRange(double defaultRange) {
this.m_DefaultRange = defaultRange;
if (((InterfaceDataTypeDouble)this.m_Template).getDoubleData().length != getProblemDimension()) {
((InterfaceDataTypeDouble)this.m_Template).setDoubleDataLength(getProblemDimension());
}
((InterfaceDataTypeDouble)this.m_Template).SetDoubleRange(makeRange());
}
public String defaultRangeTipText() {
return "Absolute limit for the symmetric range in any dimension";
}
/**********************************************************************************************************************
* These are for GUI
*/
/** This method allows the CommonJavaObjectEditorPanel to read the
* name to the current object.
* @return The name.
*/
public String getName() {
return "SimpleProblemDouble";
}
/** This method returns a global info string
* @return description
*/
public String globalInfo() {
return "The programmer did not give further details.";
}
/** This method returns a string describing the optimization problem.
* @param opt The Optimizer that is used or had been used.
* @return The description.
*/
public String getStringRepresentationForProblem(InterfaceOptimizer opt) {
StringBuffer sb = new StringBuffer(200);
sb.append("A double valued problem:\n");
sb.append(globalInfo());
sb.append("Dimension : ");
sb.append(this.getProblemDimension());
sb.append("\nNoise level : ");
sb.append(this.m_Noise);
return sb.toString();
}
}

44
src/javaeva/server/go/problems/B1Problem.java
View File

@ -15,12 +15,11 @@ import java.util.BitSet;
* Time: 13:05:33
* To change this template use Options | File Templates.
*/
public class B1Problem extends AbstractOptimizationProblem implements java.io.Serializable {
public class B1Problem extends AbstractProblemBinary implements java.io.Serializable {
public int m_ProblemDimension = 30;
public B1Problem() {
this.m_Template = new GAIndividualBinaryData();
super();
}
public B1Problem(B1Problem b) {
@ -29,7 +28,6 @@ public class B1Problem extends AbstractOptimizationProblem implements java.io.Se
this.m_Template = (AbstractEAIndividual)((AbstractEAIndividual)b.m_Template).clone();
//AbstractBinaryOptimizationProblem
this.m_ProblemDimension = b.m_ProblemDimension;
// BLOTZ
}
/** This method returns a deep clone of the problem.
@ -39,12 +37,6 @@ public class B1Problem extends AbstractOptimizationProblem implements java.io.Se
return (Object) new B1Problem(this);
}
/** This method inits the Problem to log multiruns
*/
public void initProblem() {
// nothing to init here
}
/** This method inits a given population
* @param population The populations that is to be inited
*/
@ -64,34 +56,17 @@ public class B1Problem extends AbstractOptimizationProblem implements java.io.Se
population.init();
}
/** This method evaluate a single individual and sets the fitness values
* @param individual The individual that is to be evalutated
*/
public void evaluate(AbstractEAIndividual individual) {
BitSet tmpBitSet;
double[] result;
InterfaceDataTypeBinary tmpIndy;
// collect the data
tmpIndy = (InterfaceDataTypeBinary) individual;
tmpBitSet = tmpIndy.getBinaryData();
// evalutate the fitness
result = this.evaluate(tmpBitSet, tmpIndy.size());
// set the fitness
individual.SetFitness(result);
}
/** This is a simple method that evaluates a given Individual. The fitness
* values of the individual will be set inside this method.
* @param b The BitSet that is to be evaluated.
* @param l The length of the BitSet.
* @return Double[]
*/
public double[] evaluate(BitSet b, int l) {
public double[] eval(BitSet b) {
double[] result = new double[1];
int fitness = 0;
for (int i = 0; i < l; i++) if (b.get(i)) fitness++;
for (int i = 0; i < getProblemDimension(); i++) if (b.get(i)) fitness++;
result[0] = fitness;
return result;
}
@ -143,12 +118,13 @@ public class B1Problem extends AbstractOptimizationProblem implements java.io.Se
return "The task in this problem is to maximize the number of false bits in a BitSet.";
}
/** This method allows you to set the number of mulitruns that are to be performed,
* necessary for stochastic optimizers to ensure reliable results.
* @param multiruns The number of multiruns that are to be performed
/**
* Set the problem dimension.
*
* @param dim The problem dimension.
*/
public void setProblemDimension(int multiruns) {
this.m_ProblemDimension = multiruns;
public void setProblemDimension(int dim) {
this.m_ProblemDimension = dim;
}
public int getProblemDimension() {
return this.m_ProblemDimension;

2
src/javaeva/server/go/problems/ExternalRuntimeProblem.java
View File

@ -196,7 +196,7 @@ public class ExternalRuntimeProblem extends AbstractOptimizationProblem {
* @return description
*/
public String globalInfo() {
return "Sphere model.";
return "Use an external command as target function.";
}

2
src/javaeva/server/go/problems/F11Problem.java
View File

@ -19,7 +19,7 @@ public class F11Problem extends F1Problem implements java.io.Serializable {
public F11Problem() {
this.m_ProblemDimension = 10;
this.m_Template = new ESIndividualDoubleData();
this.defaultRange = 600;
this.m_DefaultRange = 600;
}
public F11Problem(F11Problem b) {

123
src/javaeva/server/go/problems/F1Problem.java
View File

@ -7,11 +7,6 @@ import javaeva.server.go.populations.Population;
import javaeva.server.go.strategies.InterfaceOptimizer;
import javaeva.server.go.tools.RandomNumberGenerator;
import javaeva.server.stat.Statistics;
import javaeva.gui.JEFrame;
import javax.swing.*;
/**
* Created by IntelliJ IDEA.
* User: streiche
@ -19,7 +14,7 @@ import javax.swing.*;
* Time: 17:58:55
* To change this template use Options | File Templates.
*/
public class F1Problem extends AbstractOptimizationProblem implements Interface2DBorderProblem, java.io.Serializable {
public class F1Problem extends AbstractProblemDouble implements Interface2DBorderProblem, java.io.Serializable {
/**
*
@ -27,17 +22,16 @@ public class F1Problem extends AbstractOptimizationProblem implements Interface2
private static final long serialVersionUID = 4870484001737601464L;
protected AbstractEAIndividual m_OverallBest = null;
protected int m_ProblemDimension = 10;
protected double m_Noise = 0.0;
protected double m_XOffSet = 0.0;
protected double m_YOffSet = 0.0;
protected boolean m_UseTestConstraint = false;
protected double defaultRange = 5.12;
public F1Problem() {
this.m_Template = new ESIndividualDoubleData();
((ESIndividualDoubleData)this.m_Template).setDoubleDataLength(m_ProblemDimension);
((ESIndividualDoubleData)this.m_Template).SetDoubleRange(makeRange());
}
public F1Problem(F1Problem b) {
//AbstractOptimizationProblem
if (b.m_Template != null)
@ -47,6 +41,7 @@ public class F1Problem extends AbstractOptimizationProblem implements Interface2
this.m_OverallBest = (AbstractEAIndividual)((AbstractEAIndividual)b.m_OverallBest).clone();
this.m_ProblemDimension = b.m_ProblemDimension;
this.m_Noise = b.m_Noise;
this.m_DefaultRange = b.m_DefaultRange;
this.m_XOffSet = b.m_XOffSet;
this.m_YOffSet = b.m_YOffSet;
this.m_UseTestConstraint = b.m_UseTestConstraint;
@ -88,42 +83,10 @@ public class F1Problem extends AbstractOptimizationProblem implements Interface2
population.init();
}
protected double[][] makeRange() {
double[][] range = new double[this.m_ProblemDimension][2];
for (int i = 0; i < range.length; i++) {
range[i][0] = getRangeLowerBound(i);
range[i][1] = getRangeUpperBound(i);
}
return range;
}
protected double getRangeLowerBound(int dim) {
return -defaultRange;
}
protected double getRangeUpperBound(int dim) {
return defaultRange;
}
protected double[][] getDoubleRange() {
return ((InterfaceDataTypeDouble)this.m_Template).getDoubleRange();
}
/** This method evaluates a given population and set the fitness values
* accordingly
* @param population The population that is to be evaluated.
*/
public void evaluate(Population population) {
AbstractEAIndividual tmpIndy;
//System.out.println("Population size: " + population.size());
for (int i = 0; i < population.size(); i++) {
tmpIndy = (AbstractEAIndividual) population.get(i);
tmpIndy.resetConstraintViolation();
this.evaluate(tmpIndy);
population.incrFunctionCalls();
}
}
/** This method evaluate a single individual and sets the fitness values
* @param individual The individual that is to be evalutated
*/
@ -131,18 +94,25 @@ public class F1Problem extends AbstractOptimizationProblem implements Interface2
double[] x;
double[] fitness;
// retrieve the individual data
x = new double[((InterfaceDataTypeDouble) individual).getDoubleData().length];
System.arraycopy(((InterfaceDataTypeDouble) individual).getDoubleData(), 0, x, 0, x.length);
// add an offset in solution space
for (int i = 0; i < x.length; i++) x[i] = x[i] - this.m_XOffSet;
fitness = this.doEvaluation(x);
for (int i = 0; i < fitness.length; i++) {
// evaluate the vector
fitness = this.eval(x);
// add noise to the fitness
if (m_Noise != 0) fitness[i] += RandomNumberGenerator.gaussianDouble(this.m_Noise);
fitness[i] += this.m_YOffSet;
// set the fitness of the individual
individual.SetFitness(i, fitness[i]);
}
if (m_Noise != 0) RandomNumberGenerator.addNoise(fitness, m_Noise);
// add an offset in fitness space
for (int i = 0; i < fitness.length; i++) fitness[i] += this.m_YOffSet;
// finally set the fitness
individual.SetFitness(fitness);
if (this.m_UseTestConstraint) {
if (x[0] < 1) individual.addConstraintViolation(1-x[0]);
}
@ -155,7 +125,7 @@ public class F1Problem extends AbstractOptimizationProblem implements Interface2
* @param x The n-dimensional input vector
* @return The m-dimensional output vector.
*/
public double[] doEvaluation(double[] x) {
public double[] eval(double[] x) {
double[] result = new double[1];
result[0] = 0;
for (int i = 0; i < x.length; i++) {
@ -189,29 +159,14 @@ public class F1Problem extends AbstractOptimizationProblem implements Interface2
* @return The name.
*/
public String getName() {
return "F1 Problem";
return "F1-Problem";
}
/** This method returns a global info string
* @return description
*/
public String globalInfo() {
return "Sphere model.";
}
/** This method allows you to choose how much noise is to be added to the
* fitness. This can be used to make the optimization problem more difficult.
* @param noise The sigma for a gaussian random number.
*/
public void setNoise(double noise) {
if (noise < 0) noise = 0;
this.m_Noise = noise;
}
public double getNoise() {
return this.m_Noise;
}
public String noiseTipText() {
return "Noise level on the fitness value.";
return "F1: multidimensional parabola problem";
}
/** This method allows you to set/get an offset for decision variables.
@ -265,48 +220,14 @@ public class F1Problem extends AbstractOptimizationProblem implements Interface2
return "Just a simple test constraint of x[0] >= 1.";
}
/** This method allows you to choose the EA individual
* @param indy The EAIndividual type
*/
public void setEAIndividual(InterfaceDataTypeDouble indy) {
this.m_Template = (AbstractEAIndividual)indy;
}
public InterfaceDataTypeDouble getEAIndividual() {
return (InterfaceDataTypeDouble)this.m_Template;
}
public double functionValue(double[] point) {
double x[] = new double[m_ProblemDimension];
for (int i=0; i<point.length; i++) x[i]=point[i];
for (int i=point.length; i<m_ProblemDimension; i++) x[i] = 0;
return Math.sqrt(doEvaluation(x)[0]);
return Math.sqrt(eval(x)[0]);
}
public double[][] get2DBorder() {
return getDoubleRange();
}
/**
* A (symmetric) absolute range limit.
*
* @return value of the absolute range limit
*/
public double getDefaultRange() {
return defaultRange;
}
/**
* Set a (symmetric) absolute range limit.
*
* @param defaultRange
*/
public void setDefaultRange(double defaultRange) {
this.defaultRange = defaultRange;
if (((InterfaceDataTypeDouble)this.m_Template).getDoubleData().length != m_ProblemDimension) {
((InterfaceDataTypeDouble)this.m_Template).setDoubleDataLength(m_ProblemDimension);
}
((InterfaceDataTypeDouble)this.m_Template).SetDoubleRange(makeRange());
}
public String defaultRangeTipText() {
return "Absolute limit for the symmetric range in any dimension (not used for all f-problems)";
}
}

2
src/javaeva/server/go/problems/FLensProblem.java
View File

@ -415,7 +415,7 @@ public class FLensProblem extends AbstractOptimizationProblem implements Interfa
GOStandaloneVersion program = new GOStandaloneVersion();
GOParameters GO = program.getGOParameters();
GO.setProblem(f);
RandomNumberGenerator.setseed(1);
RandomNumberGenerator.setRandomSeed(1);
program.initFrame();
program.setShow(true);
}

2
src/javaeva/server/go/problems/FM0Problem.java
View File

@ -152,7 +152,7 @@ public class FM0Problem extends F1Problem implements Interface2DBorderProblem, I
*/
public String getAdditionalFileStringValue(Population pop) {
String result = "";
result += this.getSolutionDataFor(pop.getBestEAIndividual()) +"\t";
result += AbstractEAIndividual.getDefaultDataString(pop.getBestEAIndividual()) +"\t";
result += this.getNumberOfFoundOptima(pop)+"\t";
result += this.getMaximumPeakRatio(pop);
return result;

17
src/javaeva/server/go/problems/InterfaceAdditionalPopulationInformer.java Normal file
View File

@ -0,0 +1,17 @@
package javaeva.server.go.problems;
import javaeva.server.go.PopulationInterface;
public interface InterfaceAdditionalPopulationInformer {
/** This method returns the header for the additional data that is to be written into a file
* @param pop The population that is to be refined.
* @return String
*/
public String getAdditionalFileStringHeader(PopulationInterface pop);
/** This method returns the additional data that is to be written into a file
* @param pop The population that is to be refined.
* @return String
*/
public String getAdditionalFileStringValue(PopulationInterface pop);
}

15
src/javaeva/server/go/problems/InterfaceOptimizationProblem.java
View File

@ -4,7 +4,7 @@ import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.populations.Population;
import javaeva.server.go.strategies.InterfaceOptimizer;
import javaeva.server.stat.Statistics;
import javaeva.server.stat.InterfaceStatistics;
import javax.swing.*;
@ -15,7 +15,7 @@ import javax.swing.*;
* Time: 09:52:52
* To change this template use Options | File Templates.
*/
public interface InterfaceOptimizationProblem {
public interface InterfaceOptimizationProblem extends InterfaceAdditionalPopulationInformer {
/** This method returns a deep clone of the problem.
* @return the clone
@ -92,15 +92,4 @@ public interface InterfaceOptimizationProblem {
*/
public Double getDoublePlotValue(Population pop);
/** This method returns the header for the additional data that is to be written into a file
* @param pop The population that is to be refined.
* @return String
*/
public String getAdditionalFileStringHeader(Population pop);
/** This method returns the additional data that is to be written into a file
* @param pop The population that is to be refined.
* @return String
*/
public String getAdditionalFileStringValue(Population pop);
}

473
src/javaeva/server/go/problems/MatlabProblem.java Normal file
View File

@ -0,0 +1,473 @@
package javaeva.server.go.problems;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.PrintStream;
import java.io.PrintWriter;
import java.io.Serializable;
import java.io.StringWriter;
import javaeva.OptimizerFactory;
import javaeva.OptimizerRunnable;
import javaeva.gui.BeanInspector;
import javaeva.server.go.individuals.ESIndividualDoubleData;
import javaeva.server.go.tools.RandomNumberGenerator;
import com.mathworks.jmi.CompletionObserver;
import com.mathworks.jmi.Matlab;
public class MatlabProblem extends AbstractProblemDouble implements CompletionObserver, Serializable {
private static final long serialVersionUID = 2640948804853759358L;
public static final boolean TRACE = true;
transient protected Matlab matlab = null;
transient OptimizerRunnable runnable = null;
protected boolean allowSingleRunnable = true;
protected String jmInterface;
protected int problemDimension = 10;
transient protected ResultArr res = new ResultArr();
transient PrintStream dos = null;
protected double[][] range = null;
private static final String defTestOut = "matlabproblem-testout.dat";
transient private double[] currArray = null;
private String mtCmd = null;
// public MatlabProblem() throws Exception {
// this("JI", 10);
// if (matlab == null) throw new Exception("Unable to create Matlab instance.");
// }
public MatlabProblem(String nameJEInterface, int dim) {
this(nameJEInterface, dim, null);
range = super.makeRange();
}
public MatlabProblem(String nameJEInterface, int dim, double[][] range) {
init(nameJEInterface, dim, range, defTestOut);
}
public MatlabProblem(String nameJEInterface, int dim, double lower, double upper) {
this(nameJEInterface, dim, null);
double[][] range = new double[dim][2];
for (int i=0; i<dim; i++) {
range[dim][0] = lower;
range[dim][1] = upper;
}
}
public void initProblem() {
init(this.jmInterface, this.problemDimension, this.range, defTestOut);
}
private void init(String nameJEInterface, int dim, double[][] range, String outFile) {
problemDimension = dim;
initTemplate();
res = new ResultArr();
if ((range != null) && (dim != range.length)) throw new ArrayIndexOutOfBoundsException("Mismatching dimension and range!");
if ((dos == null) && TRACE) {
try {
dos = new PrintStream(new FileOutputStream(outFile));
} catch (FileNotFoundException e) {
e.printStackTrace();
}
}
log("range is " + BeanInspector.toString(range)+ "\n");
log("template len: " + ((ESIndividualDoubleData)m_Template).getDGenotype().length + "\n");
try {
if (matlab == null)
matlab = new Matlab();//this command links to the current matlab session
} catch (Error e) {
log("Error: " + e.toString());
System.err.println("Error: could not create MatlabProblem instance. MatlabProblem can only be used from Matlab.");
}
this.jmInterface = nameJEInterface;
mtCmd = new String("evaluateJE("+jmInterface+")");
}
/**
* @return the jmInterface
*/
public String getJmInterfaceName() {
return jmInterface;
}
/**
* @param jmInterface the jmInterface to set
*/
public void setJmInterfaceName(String jmInterface) {
this.jmInterface = jmInterface;
}
public String jmiInterfaceNameTipText() {
return "Name of the JEInterface instance in Matlab";
}
/**
* @param problemDimension the problemDimension to set
*/
public void setProblemDimension(int problemDimension) {
this.problemDimension = problemDimension;
}
public int getProblemDimension() {
return problemDimension;
}
public String problemDimensionTipTex() {
return "The dimension of the problem.";
}
protected double[][] makeRange() {
if (range==null) range=super.makeRange();
return range;
}
protected double getRangeLowerBound(int dim) {
return (range==null) ? super.getRangeLowerBound(dim) : range[dim][0];
}
protected double getRangeUpperBound(int dim) {
return (range==null) ? super.getRangeUpperBound(dim) : range[dim][1];
}
public double[] getCurrentDoubleArray() {
return currArray;
}
public double[] getNewDoubleArray() {
currArray = new double[problemDimension];
for (int i=0; i<problemDimension; i++) currArray[i] = RandomNumberGenerator.gaussianDouble(1);
return currArray;
}
public void log(String str) {
if (dos != null) {
dos.print((String)str);
dos.flush();
}
}
public synchronized void setResult(double[] v) {
//System.err.println("A setting result " + v);
log("Log setting result " + v + "\n");
res.set(v);
}
public synchronized void completed(int i, Object obj) {
// System.err.println("calling completed...");
log("completed " + i + " " + obj.getClass().getName() + " " + obj + "\n");
if (res.isSet()) {
log("result0 = " + res.get()[0] + "\n");
this.notifyAll();
} else {
// FATAL, stop opt!
log("Received no result value from Matlab. Missing Interface object " + jmInterface + " ?\n");
System.err.println("Received no result value from Matlab. Missing Interface object " + jmInterface + " ?");
stopOptimize();
}
}
public double[] eval(double[] x) {
synchronized (this) {
try {
res.reset();
currArray = x;
matlab.eval(mtCmd, (CompletionObserver)this);
this.wait();
} catch (InterruptedException e) {
log("wait interrupted: " + e.getMessage() + " \n");
}
}
log("wait done, returning " + res.get()[0] + " \n");
return res.get();
//currArray = x.clone();
// try {
//Object ret = mc.blockingFeval(mlCmd, null);
//mc.eval("evaluate("+jmInterface+")");
// try {
// res.reset();
// mc.eval("start=1");
// mc.testEval("evaluate("+jmInterface+")");
// while (!res.isSet()) {
// try {
// Thread.sleep(5);
// } catch (InterruptedException e) {
// // TODO Auto-generated catch block
// e.printStackTrace();
// }
// }
// mc.testEval("waitReturned=1");
// } catch(Exception e) {
// mc.testEval("waitReturnedExc=1");
// }
// if (res != null) mc.testEval("res="+ ((res.get() == null ) ? "null" : res.get()[0]));
// Object[] args = new Object[x.length];
// for (int i=0;i<x.length; i++) {
// args[i] = new Double(x[i]);
// }
// System.out.println("calling blockingFeval");
// Object ret = mc.blockingFeval("vectfun", args);
// System.out.println("mc returned " + ret);
// } catch(Exception e) {
// System.err.println("Interrupted eval in MatlabProblem: "+e.getMessage());
// }
// currArray = null;
// return null;
}
// public String mtGet(String str) {
// String res = null;
// try {
// res = (Matlab.mtGet(0, "x")).toString();
// mc.eval("mtGet="+res);
// res = (Matlab.mtGet(1, "x")).toString();
// mc.eval("mtGet="+res);
// res = (Matlab.mtGet(-1, "x")).toString();
// mc.eval("mtGet="+res);
// } catch (Exception e) {}
// return res;
// }
// public void test() {
// EvalTestThread tt = new EvalTestThread(this, matlab, jmInterface);
// new Thread(tt).start();
// }
public void optimize(final int optType, String outputFilePrefix) {
if (allowSingleRunnable && (runnable != null) && (!runnable.isFinished())) {
System.err.println("Please wait for the current optimization to finish");
} else {
runnable = OptimizerFactory.getOptRunnable(optType, (AbstractOptimizationProblem)this, outputFilePrefix);
new Thread(new WaitForEvARunnable(runnable, this)).start();
}
}
public void stopOptimize() {
if (runnable != null) {
runnable.stopOpt();
}
}
public String getInfoString() {
if (runnable == null) return "";
StringBuffer sb = new StringBuffer("Function calls: ");
sb.append(getFunctionCalls());
sb.append(". ");
sb.append(runnable.terminatedBecause());
return sb.toString();
}
public int getFunctionCalls() {
if (runnable == null) return 0;
return runnable.getGOParams().getOptimizer().getPopulation().getFunctionCalls();
}
// public void optimize() {
// OptimizeThread oT = new OptimizeThread(this);
// new Thread(oT).start();
//
// /*
// * neuer Thread mit Processor
// * der ruft this.eval auf
// * eval ruft Matlab auf, wartet auf resultat
// * schreibt dieses ins ind
// *
// *
// */
// }
Matlab getMatlab() {
return matlab;
}
void exportResultToMatlab(double[] result) {
String resStr;
if (result == null) resStr = "[]";
else resStr = BeanInspector.toString(result);
log("result was " + resStr + "\n");
try {
String cmd = jmInterface + "= setResultJE(" + jmInterface + ", " + resStr + ")";
log("trying cmd: "+ cmd + "\n");
matlab.eval(cmd);
} catch (Exception e) {
log("Exception when exporting result to Matlab! "+e.getMessage());
}
}
public double[] getIntermediateResult() {
if (runnable == null) return null;
else return runnable.getDoubleSolution();
}
public String globalInfo() {
return "Interface problem class for optimization in Matlab, only usable from within Matlab";
}
}
////////////////////////////
class WaitForEvARunnable implements Runnable {
OptimizerRunnable runnable;
MatlabProblem mp;
public WaitForEvARunnable(OptimizerRunnable runnable, MatlabProblem mp) {
this.runnable = runnable;
this.mp = mp;
}
public void run() {
if (runnable != null) {
mp.log("Starting optimize runnable!\n");
synchronized (runnable) {
try {
new Thread(runnable).start();
mp.log("Starting optimize thread done!\n");
runnable.wait();
mp.log("After wait!\n");
} catch (InterruptedException e) {
e.printStackTrace();
mp.log("WaitForEvARunnable was interrupted with " + e.getMessage());
}
}
try {
mp.exportResultToMatlab(runnable.getDoubleSolution());
System.out.println("Optimization finished: " + mp.getInfoString());
} catch (Exception e) {
StringWriter sw = new StringWriter();
e.printStackTrace(new PrintWriter(sw));
mp.log("error in callback: " + e.getMessage() + " " + sw.toString() + "\n");
}
} else {
System.err.println("Invalid optimization call.");
mp.log("invalid call, no optimization started.\n");
mp.exportResultToMatlab(null);
}
}
}
//class OptimizeThread implements Runnable, InterfaceTextListener {
// MatlabProblem mp=null;
//// String jmInt = "";
// Processor proc;
//// InterfaceGOParameters params;
//
// public OptimizeThread(MatlabProblem mp) {
// mp.log("Init OptimizeThread\n");
// this.mp = mp;
//// this.jmInt = jmInt;
// GOParameters params = new GOParameters();
// ParticleSwarmOptimization pso = new ParticleSwarmOptimization();
// params.setOptimizer(pso);
// Population pop = new Population();
// pop.setPopulationSize(20);
// params.getOptimizer().setPopulation(pop);
// params.setProblem(mp);
// params.setTerminator(new EvaluationTerminator(1000));
// proc = new Processor(new StatisticsStandalone("/home/mkron/mp-result"), null, params);
// proc.getStatistics().addTextListener(this);
// }
//
// public void run() {
// mp.log("starting run...\n");
// mp.log("proc is " + proc + "\n");
// try {
// proc.startOpt();
// proc.run();
// } catch(Exception e) {
// mp.log("Exception! " + e.getMessage() + "\n");
// e.printStackTrace(mp.dos);
// }
// mp.log("finished run...\n");
// }
//
// public void print(String s) {
// mp.log(s);
// }
//}
//class EvalTestThread implements Runnable {
// MatlabProblem mp=null;
// Matlab matlab;
// String jmInt = "";
//
// public EvalTestThread(MatlabProblem mp, Matlab matlab, String jmInt) {
// this.mp = mp;
// this.matlab = matlab;
// this.jmInt = jmInt;
// }
//
// public void run() {
// for (int i=0; i<3; i++) {
// mp.eval(mp.getNewDoubleArray());
//// synchronized (mp) {
//// try {
//// mp.wait();
//// } catch (InterruptedException e) {
//// // TODO Auto-generated catch block
//// mp.log("wait interrupted: " + e.getMessage() + " \n");
//// }
//// }
//// mp.log("wait " + i + " done!\n");
// }
// }
//
//}
//class SynchTestThread implements Runnable {
//MatlabProblem mp=null;
//public SynchTestThread(MatlabProblem mp) {
//this.mp = mp;
//}
//public void run() {
//try {
//Thread.sleep(1000);
//double[] v = new double[3];
//for (int i = 0; i < v.length; i++) {
//v[i] = 7+i;
//}
//mp.setResult(v);
//} catch (InterruptedException e) {
//// TODO Auto-generated catch block
//e.printStackTrace();
//}
//}
//}
class ResultArr extends Object {
private double[] val;
private boolean unset = true;
public ResultArr() {
val = null;
}
public void set(double[] v) {
val = v;
unset = false;
}
public double[] get() {
return val;
}
public void reset() {
if (val != null) {
synchronized (val) {
val = null;
unset=true;
}
}
}
public boolean isSet() {
return !unset;
}
}

2
src/javaeva/server/go/problems/PSymbolicRegression.java
View File

@ -23,7 +23,7 @@ import javaeva.server.go.problems.regression.RFKoza_GPI_10_2;
import javaeva.server.go.strategies.InterfaceOptimizer;
import javaeva.server.go.tools.RandomNumberGenerator;
import javaeva.server.stat.Statistics;
import javaeva.server.stat.InterfaceStatistics;
import javaeva.gui.Plot;
import javaeva.gui.JEFrame;

19
src/javaeva/server/go/strategies/DifferentialEvolution.java
View File

@ -26,7 +26,6 @@ import javaeva.tools.Tag;
public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serializable {
private Population m_Population = new Population();
private Population children = null;
private AbstractOptimizationProblem m_Problem = new F1Problem();
private SelectedTag m_DEType;
private double m_F = 0.8;
@ -43,12 +42,9 @@ public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serial
*
*/
public DifferentialEvolution() {
Tag[] tag = new Tag[4];
tag[0] = new Tag(0, "DE1 - DE/rand/1");
tag[1] = new Tag(1, "DE2 - DE/current-to-best/1");
tag[2] = new Tag(2, "DE/best/2");
tag[3] = new Tag(3, "Trigonometric DE");
this.m_DEType = new SelectedTag(1, tag);
String[] deTypes = new String[] {"DE1 - DE/rand/1", "DE2 - DE/current-to-best/1", "DE/best/2", "Trigonometric DE"};
// sets DE2 as default
m_DEType = new SelectedTag(1, deTypes);
}
/**
@ -74,7 +70,7 @@ public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serial
public void init() {
this.m_Problem.initPopulation(this.m_Population);
children = new Population(m_Population.size());
// children = new Population(m_Population.size());
this.evaluatePopulation(this.m_Population);
this.firePropertyChangedEvent("NextGenerationPerformed");
}
@ -86,7 +82,8 @@ public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serial
public void initByPopulation(Population pop, boolean reset) {
this.m_Population = (Population)pop.clone();
if (reset) this.m_Population.init();
else children = new Population(m_Population.size());
// if (reset) this.m_Population.init();
// else children = new Population(m_Population.size());
this.evaluatePopulation(this.m_Population);
this.firePropertyChangedEvent("NextGenerationPerformed");
}
@ -496,12 +493,12 @@ public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serial
/** Probability of alteration through DE (something like a discrete uniform crossover is performed here)
* @param k
*/
public void setk (double k) {
public void setK(double k) {
if (k < 0) k = 0;
if (k > 1) k = 1;
this.m_k = k;
}
public double getk() {
public double getK() {
return this.m_k;
}
public String kTipText() {

29
src/javaeva/server/go/strategies/ParticleSwarmOptimization.java
View File

@ -1465,12 +1465,14 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
result += this.m_Population.getStringRepresentation();
return result;
}
/** This method allows you to set an identifier for the algorithm
* @param name The indenifier
*/
public void SetIdentifier(String name) {
this.m_Identifier = name;
}
public String getIdentifier() {
return this.m_Identifier;
}
@ -1566,7 +1568,7 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
*
* @param tau2 the
*/
public void setWithConstriction(double tau1, double tau2) {
protected void setWithConstriction(double tau1, double tau2) {
double pSum = tau1+tau2;
if (pSum <= 4) {
System.err.println("error, invalid tauSum value in PSO::setWithConstriction");
@ -1619,6 +1621,31 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
return "Acceleration for the social model.";
}
/**
* Set the phi1 / phi2 parameter values (and in the constriction variant, adapt constriction factor).
*
* @param phi1
* @param phi2
*/
public void setPhiValues(double phi1, double phi2) {
m_Phi1 = phi1;
m_Phi2 = phi2;
if (algType.isSelectedString("Constriction")) setWithConstriction(phi1, phi2);
}
/**
* Directly set all parameter values phi1, phi2 and inertness/constriction factor.
*
* @param phi1
* @param phi2
* @param inertness
*/
public void setParameterValues(double phi1, double phi2, double inertness) {
m_Phi1 = phi1;
m_Phi2 = phi2;
setInertnessOrChi(inertness);
}
/** This method allows you to choose the topology type.
* @param s The type.
*/

5
src/javaeva/server/go/strategies/Tribes.java
View File

@ -624,11 +624,14 @@ public class Tribes implements InterfaceOptimizer, java.io.Serializable {
* of the indiviuals in the beginning of the run, the indiviudals will be discarded.
*/
public void setPopulation(Population pop) {
if (pop == null) return;
population = pop;
if (population.get(0) instanceof InterfaceESIndividual) {
range = ((InterfaceESIndividual)population.get(0)).getDoubleRange();
setDimension(range.length);
} else System.err.println("warning, population of non InterfaceESIndividuals. TRIBES couldnt correctly init the problem range.");
} else {
System.err.println("warning, TRIBES requires InterfaceESIndidivual instead of " + population.get(0).getClass() + ". Couldnt correctly init the problem range.");
}
}
private void setDimension(int length) {

32
src/javaeva/server/go/tools/RandomNumberGenerator.java
View File

@ -6,7 +6,6 @@ import java.util.ArrayList;
public class RandomNumberGenerator extends Random {
private static Random random;
private static long randomSeed;
//private static int counter =0;
/**
*
*/
@ -16,23 +15,11 @@ public class RandomNumberGenerator extends Random {
//System.out.println("randomSeed ="+ randomSeed);
random=new Random(randomSeed);
}
/**
*
*/
public static void setseed(long x) {
//System.out.println("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!seeeeed"+x+"counter"+counter);
//counter=0;
randomSeed=x;
if (x==0)
randomSeed=System.currentTimeMillis();
// if (x==999) // ??? removed (MK)
// return;
random=new Random(randomSeed);
}
/**
*
*/
public static void setRandomseed() {
public static void setRandomSeed() {
//counter++;
randomSeed=System.currentTimeMillis();
random=new Random(randomSeed);
@ -50,7 +37,8 @@ public class RandomNumberGenerator extends Random {
public static void setRandomSeed(long new_seed){
//counter++;
randomSeed=new_seed;
random.setSeed(randomSeed);
if (randomSeed == 0) setRandomSeed();
else random.setSeed(randomSeed);
}
/**
*
@ -282,5 +270,17 @@ public class RandomNumberGenerator extends Random {
}
return x;
}
/**
* Adds Gaussian noise to a double vector
* @param v the double vector
* @param dev the Gaussian deviation
*/
public static void addNoise(double[] v, double dev) {
for (int i=0; i<v.length; i++) {
// add noise to the value
v[i] += gaussianDouble(dev);
}
}
}

4
src/javaeva/server/modules/AbstractModuleAdapter.java
View File

@ -74,10 +74,10 @@ abstract public class AbstractModuleAdapter implements ModuleAdapter, Serializab
/**
* From the interface RemoteStateListener. Added this method to make progress bar possible.
*/
public void updateProgress(final int percent) {
public void updateProgress(final int percent, String msg) {
if (TRACE) System.out.println("AbstractModuleAdapter::updateProgress");
for (RemoteStateListener listener : m_RemoteStateListeners) {
listener.updateProgress(percent);
listener.updateProgress(percent, msg);
}
}

36
src/javaeva/server/modules/DEParameters.java
View File

@ -2,7 +2,7 @@ package javaeva.server.modules;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.selection.InterfaceSelection;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
@ -34,8 +34,8 @@ public class DEParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new DifferentialEvolution();
private InterfaceOptimizationProblem m_Problem = new F1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -145,10 +145,10 @@ public class DEParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -172,15 +172,15 @@ public class DEParameters implements InterfaceGOParameters, Serializable {
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state
@ -213,11 +213,11 @@ public class DEParameters implements InterfaceGOParameters, Serializable {
/** This method will set the crossover probability
* @param k
*/
public void setk (double k) {
((DifferentialEvolution)this.m_Optimizer).setk(k);
public void setK(double k) {
((DifferentialEvolution)this.m_Optimizer).setK(k);
}
public double getk() {
return ((DifferentialEvolution)this.m_Optimizer).getk();
public double getK() {
return ((DifferentialEvolution)this.m_Optimizer).getK();
}
public String kTipText() {
return "Probability of alteration through DE1.";

34
src/javaeva/server/modules/EPParameters.java
View File

@ -2,7 +2,7 @@ package javaeva.server.modules;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.selection.InterfaceSelection;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
@ -32,8 +32,8 @@ public class EPParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new EvolutionaryProgramming();
private InterfaceOptimizationProblem m_Problem = new F1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -143,10 +143,10 @@ public class EPParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -167,18 +167,18 @@ public class EPParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state

34
src/javaeva/server/modules/GAParameters.java
View File

@ -2,7 +2,7 @@ package javaeva.server.modules;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.selection.InterfaceSelection;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
@ -33,8 +33,8 @@ public class GAParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new GeneticAlgorithm();
private InterfaceOptimizationProblem m_Problem = new B1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -144,10 +144,10 @@ public class GAParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -168,18 +168,18 @@ public class GAParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state

51
src/javaeva/server/modules/GOParameters.java
View File

@ -1,8 +1,9 @@
package javaeva.server.modules;
import javaeva.gui.BeanInspector;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.problems.B1Problem;
import javaeva.server.go.problems.InterfaceOptimizationProblem;
@ -34,8 +35,8 @@ public class GOParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new GeneticAlgorithm();
private InterfaceOptimizationProblem m_Problem = new B1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -49,6 +50,22 @@ public class GOParameters implements InterfaceGOParameters, Serializable {
return Instance;
}
public String toString() {
StringBuffer sb = new StringBuffer(m_Name);
sb.append("\n");
sb.append("seed=");
sb.append(m_Seed);
sb.append("\nProblem: ");
sb.append(BeanInspector.toString(m_Problem));
sb.append("\nOptimizer: ");
sb.append(BeanInspector.toString(m_Optimizer));
sb.append("\nTerminator: ");
sb.append(BeanInspector.toString(m_Terminator));
sb.append("\n");
// sb.append(m_N)
return sb.toString();
}
/**
*
*/
@ -134,10 +151,10 @@ public class GOParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -179,16 +196,16 @@ public class GOParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
}

2
src/javaeva/server/modules/GenericModuleAdapter.java
View File

@ -57,7 +57,7 @@ public class GenericModuleAdapter extends AbstractModuleAdapter implements Seria
JModuleGeneralPanel ButtonPanel = new JModuleGeneralPanel(m_RemoteThis,((Processor)m_Processor).isOptRunning());
ButtonPanel.setHelperFilename(helperFilename);
GUIContainer.add(ButtonPanel);
InterfaceGOParameters Para = ((Processor)m_Processor).getModuleParameter();
InterfaceGOParameters Para = ((Processor)m_Processor).getGOParams();
if (TRACE) System.out.println("parameters are of type "+Para.getClass());
// TODO do we really need proxies here?
if (m_RMI && !Proxy.isProxyClass(Para.getClass())) GUIContainer.add(new JParaPanel( RMIProxyLocal.newInstance(Para), Para.getName()));

34
src/javaeva/server/modules/HCParameters.java
View File

@ -2,7 +2,7 @@ package javaeva.server.modules;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
import javaeva.server.go.problems.B1Problem;
@ -33,8 +33,8 @@ public class HCParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new HillClimbing();
private InterfaceOptimizationProblem m_Problem = new B1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -144,10 +144,10 @@ public class HCParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -168,18 +168,18 @@ public class HCParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state

34
src/javaeva/server/modules/MCParameters.java
View File

@ -2,7 +2,7 @@ package javaeva.server.modules;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
import javaeva.server.go.problems.B1Problem;
@ -32,8 +32,8 @@ public class MCParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new MonteCarloSearch();
private InterfaceOptimizationProblem m_Problem = new B1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -143,10 +143,10 @@ public class MCParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -167,18 +167,18 @@ public class MCParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state

34
src/javaeva/server/modules/MOEAParameters.java
View File

@ -2,7 +2,7 @@ package javaeva.server.modules;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.archiving.InterfaceArchiving;
import javaeva.server.go.operators.archiving.InterfaceInformationRetrieval;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
@ -36,8 +36,8 @@ public class MOEAParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new MultiObjectiveEA();
private InterfaceOptimizationProblem m_Problem = new TF1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -136,10 +136,10 @@ public class MOEAParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -160,18 +160,18 @@ public class MOEAParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state

34
src/javaeva/server/modules/PBILParameters.java
View File

@ -2,7 +2,7 @@ package javaeva.server.modules;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.selection.InterfaceSelection;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
@ -33,8 +33,8 @@ public class PBILParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new PopulationBasedIncrementalLearning();
private InterfaceOptimizationProblem m_Problem = new B1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -144,10 +144,10 @@ public class PBILParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -168,18 +168,18 @@ public class PBILParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state

34
src/javaeva/server/modules/PSOParameters.java
View File

@ -3,7 +3,7 @@ package javaeva.server.modules;
import javaeva.gui.GenericObjectEditor;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.selection.InterfaceSelection;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
@ -36,8 +36,8 @@ public class PSOParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new ParticleSwarmOptimization();
private InterfaceOptimizationProblem m_Problem = new F1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -156,10 +156,10 @@ public class PSOParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -180,18 +180,18 @@ public class PSOParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state

223
src/javaeva/server/modules/Processor.java
View File

@ -1,25 +1,15 @@
package javaeva.server.modules;
import java.io.BufferedWriter;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.text.SimpleDateFormat;
import java.util.Date;
import javaeva.gui.BeanInspector;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.InterfaceProcessor;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
import javaeva.server.go.problems.InterfaceMultimodalProblem;
import javaeva.server.go.strategies.InterfaceOptimizer;
import javaeva.server.go.tools.RandomNumberGenerator;
import javaeva.server.stat.Statistics;
import javaeva.server.stat.InterfaceStatistics;
import wsi.ra.jproxy.RemoteStateListener;
public class Processor extends Thread implements InterfaceProcessor, InterfacePopulationChangedEventListener {
@ -27,15 +17,15 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
public static final boolean TRACE=false;
private volatile boolean m_optRunning;
public volatile boolean m_doRunScript;
public Statistics m_Statistics;
public InterfaceGOParameters m_ModulParameter;
public InterfaceStatistics m_Statistics;
public InterfaceGOParameters goParams;
public boolean m_createInitialPopulations=true;
private RemoteStateListener m_ListenerModule;
private boolean wasRestarted = false;
private int runCounter = 0;
transient private String m_OutputPath = "";
transient private BufferedWriter m_OutputFile = null;
// transient private String m_OutputPath = "";
// transient private BufferedWriter m_OutputFile = null;
public void addListener(RemoteStateListener module) {
if (TRACE) System.out.println("Processor: setting module as listener: " + ((module==null) ? "null" : module.toString()));
@ -44,8 +34,8 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
/**
*/
public Processor(Statistics Stat, ModuleAdapter Adapter, InterfaceGOParameters params) {
m_ModulParameter = params;
public Processor(InterfaceStatistics Stat, ModuleAdapter Adapter, InterfaceGOParameters params) {
goParams = params;
m_Statistics = Stat;
m_ListenerModule = Adapter;
}
@ -53,7 +43,7 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
/**
*
*/
public Processor(Statistics Stat) {
public Processor(InterfaceStatistics Stat) {
m_Statistics = Stat;
}
@ -121,32 +111,44 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
public void run() {
setPriority(1);
while (true) {
try {Thread.sleep(200);} catch (Exception e) {
System.err.println ("There was an error in sleep Processor.run()" + e); }
// while (m_doRunScript == true) {
// setPriority(3);
// //doRunScript();
// setPriority(1);
// }
try {
Thread.sleep(200);
} catch (Exception e) {
System.err.println ("There was an error in sleep Processor.run()" + e);
}
runOptOnce();
}
}
public void runOptOnce() {
try {
while (isOptRunning()) {
setPriority(3);
m_ModulParameter.saveInstance();
optimize("Run ");
goParams.saveInstance();
optimize("Run");
setPriority(1);
}
} catch (Exception e) {
// TODO Das hier so machen, daß trotz Exception eine neue optimierung ohne Neustart möglich ist!
System.err.println("Caught exception in Processor: "+e.getMessage());
e.printStackTrace();
//m_Statistics.stopOptPerformed(false);
setOptRunning(false); // normal finish
if (m_ListenerModule!=null) m_ListenerModule.performedStop(); // is only needed in client server mode
if (m_ListenerModule!=null) m_ListenerModule.updateProgress(0, "Error in optimization: " + e.getMessage());
}
}
/**
*
*/
public void optimize(String Info) {
public void optimize(String infoString) {
if (!isOptRunning()) {
System.err.println("warning, this shouldnt happen in processor! Was startOpt called?");
setOptRunning(true);
}
RandomNumberGenerator.setseed(m_ModulParameter.getSeed());
RandomNumberGenerator.setRandomSeed(goParams.getSeed());
if (m_ListenerModule!=null) {
if (wasRestarted) m_ListenerModule.performedRestart(getInfoString());
@ -156,76 +158,67 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
// if (this.show) this.m_StatusField.setText("Optimizing...");
// opening output file...
String name = this.m_ModulParameter.getOutputFileName();
if (!name.equalsIgnoreCase("none") && !name.equals("")) {
SimpleDateFormat formatter = new SimpleDateFormat("E'_'yyyy.MM.dd'_'HH.mm.ss");
String m_StartDate = formatter.format(new Date());
name = this.m_OutputPath + name +"_"+this.m_ModulParameter.getOptimizer().getName()+"_"+m_StartDate+".dat";
try {
this.m_OutputFile = new BufferedWriter(new OutputStreamWriter (new FileOutputStream (name)));
} catch (FileNotFoundException e) {
System.out.println("Could not open output file! Filename: " + name);
}
this.writeToFile(" FitnessCalls\t Best\t Mean\t Worst \t" + this.m_ModulParameter.getProblem().getAdditionalFileStringHeader(this.m_ModulParameter.getOptimizer().getPopulation()));
} else {
this.m_OutputFile = null;
}
m_ModulParameter.getOptimizer().addPopulationChangedEventListener(this);
// String name = this.m_ModulParameter.getOutputFileName();
// if (!name.equalsIgnoreCase("none") && !name.equals("")) {
// SimpleDateFormat formatter = new SimpleDateFormat("E'_'yyyy.MM.dd'_'HH.mm.ss");
// String m_StartDate = formatter.format(new Date());
// name = this.m_OutputPath + name +"_"+this.m_ModulParameter.getOptimizer().getName()+"_"+m_StartDate+".dat";
// try {
// this.m_OutputFile = new BufferedWriter(new OutputStreamWriter (new FileOutputStream (name)));
// } catch (FileNotFoundException e) {
// System.err.println("Could not open output file! Filename: " + name);
// }
// //this.writeToFile(" FitnessCalls\t Best\t Mean\t Worst \t" + this.m_ModulParameter.getProblem().getAdditionalFileStringHeader(this.m_ModulParameter.getOptimizer().getPopulation()));
// } else {
// this.m_OutputFile = null;
// }
goParams.getOptimizer().addPopulationChangedEventListener(this);
runCounter = 0;
while (isOptRunning() && (runCounter<m_Statistics.getStatisticsParameter().getMultiRuns())) {
// for (int runCounter = 0; runCounter<m_Statistics.getStatisticsParameter().getMultiRuns(); runCounter++) {
m_Statistics.printToTextListener("****** Multirun "+runCounter);
m_Statistics.startOptPerformed(Info,runCounter);
m_Statistics.printToTextListener("Module parameters:");
m_Statistics.printToTextListener(BeanInspector.toString(m_ModulParameter));
m_Statistics.printToTextListener("Statistics parameters:");
m_Statistics.printToTextListener(BeanInspector.toString(m_Statistics.getStatisticsParameter()));
m_Statistics.startOptPerformed(getInfoString(),runCounter);
m_Statistics.printToTextListener("\n****** Multirun "+runCounter);
//m_Statistics.startOptPerformed(infoString,runCounter);
m_Statistics.printToTextListener("\nModule parameters: ");
m_Statistics.printToTextListener(BeanInspector.toString(goParams));
m_Statistics.printToTextListener("\nStatistics parameters: ");
m_Statistics.printToTextListener(BeanInspector.toString(m_Statistics.getStatisticsParameter()) + '\n');
this.m_ModulParameter.getOptimizer().SetProblem(this.m_ModulParameter.getProblem());
if (this.m_createInitialPopulations) this.m_ModulParameter.getOptimizer().init();
this.m_ModulParameter.getTerminator().init();
this.goParams.getProblem().initProblem();
this.goParams.getOptimizer().SetProblem(this.goParams.getProblem());
if (this.m_createInitialPopulations) this.goParams.getOptimizer().init();
this.goParams.getTerminator().init();
//m_Statistics.createNextGenerationPerformed((PopulationInterface)this.m_ModulParameter.getOptimizer().getPopulation());
m_ListenerModule.updateProgress(getStatusPercent(m_ModulParameter.getOptimizer().getPopulation(), runCounter, m_Statistics.getStatisticsParameter().getMultiRuns()));
if (m_ListenerModule!=null) m_ListenerModule.updateProgress(getStatusPercent(goParams.getOptimizer().getPopulation(), runCounter, m_Statistics.getStatisticsParameter().getMultiRuns()), null);
do { // main loop
this.m_ModulParameter.getOptimizer().optimize();
this.goParams.getOptimizer().optimize();
// m_Statistics.createNextGenerationPerformed((PopulationInterface)this.m_ModulParameter.getOptimizer().getPopulation());
// m_ListenerModule.updateProgress(getStatusPercent(m_ModulParameter.getOptimizer().getPopulation(), runCounter, m_Statistics.getStatisticsParameter().getMultiRuns()));
} while (isOptRunning() && !this.m_ModulParameter.getTerminator().isTerminated(this.m_ModulParameter.getOptimizer().getPopulation()));
} while (isOptRunning() && !this.goParams.getTerminator().isTerminated(this.goParams.getOptimizer().getPopulation()));
runCounter++;
// m_doOpt = true;
// while (m_doOpt) { // old main loop
// // deleted by HU m_Statistics.plotStatisticsPerformed();
// this.m_ModulParameter.getOptimizer().optimize();
// if (this.m_ModulParameter.getTerminator().isTerminated(this.m_ModulParameter.getOptimizer().getPopulation())) {
// m_doOpt = false;
// } else if (!m_doOpt) { // this means user break
// runCounter = m_Statistics.getStatisticsParameter().getMultiRuns();
// }
// m_Statistics.createNextGenerationPerformed((PopulationInterface)this.m_ModulParameter.getOptimizer().getPopulation());
// m_ListenerModule.updateProgress(getStatusPercent(m_ModulParameter.getOptimizer().getPopulation(), runCounter, m_Statistics.getStatisticsParameter().getMultiRuns()));
// } // end of while (m_doOpt==true)
if (m_ModulParameter.getProblem() instanceof InterfaceMultimodalProblem) {
if (goParams.getProblem() instanceof InterfaceMultimodalProblem) {
// TODO improve this?
InterfaceMultimodalProblem mmProb = (InterfaceMultimodalProblem)m_ModulParameter.getProblem();
System.out.println("no optima found: " + mmProb.getNumberOfFoundOptima(m_ModulParameter.getOptimizer().getPopulation()));
InterfaceMultimodalProblem mmProb = (InterfaceMultimodalProblem)goParams.getProblem();
System.out.println("no optima found: " + mmProb.getNumberOfFoundOptima(goParams.getOptimizer().getPopulation()));
}
m_Statistics.stopOptPerformed(isOptRunning()); // stop is "normal" if opt wasnt set false by the user
}
setOptRunning(false); // normal finish
if (m_ListenerModule!=null) m_ListenerModule.performedStop(); // is only needed in client server mode
m_ListenerModule.updateProgress(0);
if (m_ListenerModule!=null) m_ListenerModule.updateProgress(0, null);
}
private int getStatusPercent(Population pop, int currentRun, int multiRuns) {
double x = 100/multiRuns;
int curProgress;
if (this.m_ModulParameter.getTerminator() instanceof EvaluationTerminator) {
double y = x/(double)((EvaluationTerminator)this.m_ModulParameter.getTerminator()).getFitnessCalls();
if (this.goParams.getTerminator() instanceof EvaluationTerminator) {
double y = x/(double)((EvaluationTerminator)this.goParams.getTerminator()).getFitnessCalls();
curProgress = (int)(currentRun * x + pop.getFunctionCalls()*y);
} else {
curProgress = (int)(currentRun * x);
@ -238,51 +231,51 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
* @param name Could be used to indicate the nature of the event.
*/
public void registerPopulationStateChanged(Object source, String name) {
Population population = ((InterfaceOptimizer)source).getPopulation();
// Population population = ((InterfaceOptimizer)source).getPopulation();
m_Statistics.createNextGenerationPerformed((PopulationInterface)this.m_ModulParameter.getOptimizer().getPopulation());
m_ListenerModule.updateProgress(getStatusPercent(m_ModulParameter.getOptimizer().getPopulation(), runCounter, m_Statistics.getStatisticsParameter().getMultiRuns()));
m_Statistics.createNextGenerationPerformed((PopulationInterface)this.goParams.getOptimizer().getPopulation(), this.goParams.getProblem());
if (m_ListenerModule != null) m_ListenerModule.updateProgress(getStatusPercent(goParams.getOptimizer().getPopulation(), runCounter, m_Statistics.getStatisticsParameter().getMultiRuns()), null);
if (this.m_OutputFile != null) {
// data to be stored in file
// double tmpd = 0;
StringBuffer tmpLine = new StringBuffer("");
tmpLine.append(population.getFunctionCalls());
tmpLine.append("\t");
tmpLine.append(population.getBestEAIndividual().getFitness(0));
tmpLine.append("\t");
double[] fit = population.getMeanFitness();
//for (int i = 0; i < population.size(); i++) tmpd += ((AbstractEAIndividual)population.get(i)).getFitness(0)/(double)population.size();
tmpLine.append(BeanInspector.toString(fit));
tmpLine.append("\t");
tmpLine.append(population.getWorstEAIndividual().getFitness(0));
tmpLine.append("\t");
//tmpLine.append(population.getBestEAIndividual().getStringRepresentation());
tmpLine.append(this.m_ModulParameter.getProblem().getAdditionalFileStringValue(population));
this.writeToFile(tmpLine.toString());
}
// if (this.m_OutputFile != null) {
// // data to be stored in file
//// double tmpd = 0;
// StringBuffer tmpLine = new StringBuffer("");
// tmpLine.append(population.getFunctionCalls());
// tmpLine.append("\t");
// tmpLine.append(BeanInspector.toString(population.getBestEAIndividual().getFitness()));
// tmpLine.append("\t");
// double[] fit = population.getMeanFitness();
// //for (int i = 0; i < population.size(); i++) tmpd += ((AbstractEAIndividual)population.get(i)).getFitness(0)/(double)population.size();
// tmpLine.append(BeanInspector.toString(fit));
// tmpLine.append("\t");
// tmpLine.append(BeanInspector.toString(population.getWorstEAIndividual().getFitness()));
// tmpLine.append("\t");
// //tmpLine.append(population.getBestEAIndividual().getStringRepresentation());
// tmpLine.append(this.m_ModulParameter.getProblem().getAdditionalFileStringValue(population));
// //this.writeToFile(tmpLine.toString());
// }
}
/** This method writes Data to file.
* @param line The line that is to be added to the file
*/
private void writeToFile(String line) {
//String write = line + "\n";
if (this.m_OutputFile == null) return;
try {
this.m_OutputFile.write(line, 0, line.length());
this.m_OutputFile.write('\n');
this.m_OutputFile.flush();
} catch (IOException e) {
System.err.println("Problems writing to output file!");
}
}
// private void writeToFile(String line) {
// //String write = line + "\n";
// if (this.m_OutputFile == null) return;
// try {
// this.m_OutputFile.write(line, 0, line.length());
// this.m_OutputFile.write('\n');
// this.m_OutputFile.flush();
// } catch (IOException e) {
// System.err.println("Problems writing to output file!");
// }
// }
public String getInfoString() {
StringBuffer sb = new StringBuffer("processing ");
sb.append(this.m_ModulParameter.getProblem().getName());
sb.append(" using ");
sb.append(this.m_ModulParameter.getOptimizer().getName());
//StringBuffer sb = new StringBuffer("processing ");
StringBuffer sb = new StringBuffer(this.goParams.getProblem().getName());
sb.append("/");
sb.append(this.goParams.getOptimizer().getName());
// commented out because the number of multi-runs can be changed after start
// so it might create misinformation (would still be the user's fault, though)
// sb.append(" for ");
@ -293,16 +286,16 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
/** This method return the Statistics object.
*/
public Statistics getStatistics() {
public InterfaceStatistics getStatistics() {
return m_Statistics;
}
/** These methods allow you to get and set the Modul Parameters.
*/
public InterfaceGOParameters getModuleParameter() {
return m_ModulParameter;
public InterfaceGOParameters getGOParams() {
return goParams;
}
public void setModuleParameter(InterfaceGOParameters x) {
m_ModulParameter= x;
public void setGOParams(InterfaceGOParameters x) {
goParams= x;
}
}

34
src/javaeva/server/modules/SAParameters.java
View File

@ -2,7 +2,7 @@ package javaeva.server.modules;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
import javaeva.server.go.populations.Population;
import javaeva.server.go.problems.B1Problem;
@ -33,8 +33,8 @@ public class SAParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new SimulatedAnnealing();
private InterfaceOptimizationProblem m_Problem = new B1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -144,10 +144,10 @@ public class SAParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -168,18 +168,18 @@ public class SAParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state

34
src/javaeva/server/modules/SSGAParameters.java
View File

@ -2,7 +2,7 @@ package javaeva.server.modules;
import javaeva.server.go.InterfaceGOParameters;
import javaeva.server.go.InterfacePopulationChangedEventListener;
import javaeva.server.go.TerminatorInterface;
import javaeva.server.go.InterfaceTerminator;
import javaeva.server.go.operators.selection.InterfaceSelection;
import javaeva.server.go.operators.selection.replacement.InterfaceReplacement;
import javaeva.server.go.operators.terminators.EvaluationTerminator;
@ -33,8 +33,8 @@ public class SSGAParameters implements InterfaceGOParameters, Serializable {
private InterfaceOptimizer m_Optimizer = new SteadyStateGA();
private InterfaceOptimizationProblem m_Problem = new B1Problem();
//private int m_FunctionCalls = 1000;
private TerminatorInterface m_Terminator = new EvaluationTerminator();
private String m_OutputFileName = "none";
private InterfaceTerminator m_Terminator = new EvaluationTerminator();
// private String m_OutputFileName = "none";
transient private InterfacePopulationChangedEventListener m_Listener;
/**
@ -144,10 +144,10 @@ public class SSGAParameters implements InterfaceGOParameters, Serializable {
* evolutionary algorithm.
* @param term The new terminator
*/
public void setTerminator(TerminatorInterface term) {
public void setTerminator(InterfaceTerminator term) {
this.m_Terminator = term;
}
public TerminatorInterface getTerminator() {
public InterfaceTerminator getTerminator() {
return this.m_Terminator;
}
public String terminatorTipText() {
@ -168,18 +168,18 @@ public class SSGAParameters implements InterfaceGOParameters, Serializable {
return "Choose the problem that is to optimize and the EA individual parameters.";
}
/** This method will set the output filename
* @param name
*/
public void setOutputFileName (String name) {
this.m_OutputFileName = name;
}
public String getOutputFileName () {
return this.m_OutputFileName;
}
public String outputFileNameTipText() {
return "Set the name for the output file, if 'none' no output file will be created.";
}
// /** This method will set the output filename
// * @param name
// */
// public void setOutputFileName (String name) {
// this.m_OutputFileName = name;
// }
// public String getOutputFileName () {
// return this.m_OutputFileName;
// }
// public String outputFileNameTipText() {
// return "Set the name for the output file, if 'none' no output file will be created.";
// }
/** Assuming that all optimizer will store thier data in a population
* we will allow acess to this population to query to current state

267
src/javaeva/server/stat/AbstractStatistics.java Normal file
View File

@ -0,0 +1,267 @@
package javaeva.server.stat;
import java.io.FileOutputStream;
import java.io.PrintWriter;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import javaeva.gui.BeanInspector;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.problems.InterfaceAdditionalPopulationInformer;
import wsi.ra.tool.StatisticUtils;
public abstract class AbstractStatistics implements InterfaceStatistics {
private PrintWriter resultOut;
public final static boolean TRACE = false;
protected StatisticsParameter m_StatisticsParameter;
protected String startDate;
protected long startTime;
private boolean firstPlot = true;
protected int functionCalls;
protected int functionCallSum;
protected int convergenceCnt;
protected int optRunsPerformed;
protected double[] currentBestFit;
protected double[] meanFitness;
protected double[] currentWorstFit;
protected IndividualInterface bestCurrentIndividual, bestIndivdualAllover;
private ArrayList<InterfaceTextListener> textListeners;
public AbstractStatistics() {
firstPlot = true;
functionCalls = 0;
functionCallSum = 0;
convergenceCnt = 0;
optRunsPerformed = 0;
textListeners = new ArrayList<InterfaceTextListener>();
}
public void addTextListener(InterfaceTextListener listener) {
textListeners.add(listener);
}
public boolean removeTextListener(InterfaceTextListener listener) {
return textListeners.remove(listener);
}
protected void initOutput() {
SimpleDateFormat formatter = new SimpleDateFormat(
"E'_'yyyy.MM.dd'_at_'hh.mm.ss");
startDate = formatter.format(new Date());
startTime = System.currentTimeMillis();
// open the result file:
String resFName = m_StatisticsParameter.getResultFileName();
if (!resFName.equalsIgnoreCase("none") && !resFName.equals("")) {
String name = resFName + "_" + startDate + ".txt";
if (TRACE) System.out.println("FileName =" + name);
try {
resultOut = new PrintWriter(new FileOutputStream(name));
} catch (Exception e) {
e.printStackTrace();
System.out.println("Error: " + e);
}
resultOut.println("StartDate:" + startDate);
resultOut.println("On Host:" + getHostName());
} else resultOut = null;
}
public void startOptPerformed(String infoString, int runNumber) {
if (TRACE) System.out.println("AbstractStatistics.startOptPerformed " + runNumber);
if (runNumber == 0) {
functionCallSum = 0;
firstPlot = true;
optRunsPerformed = 0;
convergenceCnt = 0;
m_StatisticsParameter.saveInstance();
initOutput();
bestCurrentIndividual = null;
bestIndivdualAllover = null;
}
functionCalls = 0;
}
public void stopOptPerformed(boolean normal) {
if (TRACE) System.out.println("AbstractStatistics.stopOptPerformed");
optRunsPerformed++;
functionCallSum += functionCalls;
// check for convergence
if (bestCurrentIndividual != null) {
if (StatisticUtils.norm(bestCurrentIndividual.getFitness()) < this.m_StatisticsParameter.getConvergenceRateThreshold()) {
convergenceCnt++;
}
printToTextListener(" Best solution: " + BeanInspector.toString(bestCurrentIndividual) + "\n");
printToTextListener(AbstractEAIndividual.getDefaultDataString(bestCurrentIndividual) + "\n");
}
if (currentBestFit!= null) {
printToTextListener(" Best Fitness: " + BeanInspector.toString(currentBestFit) + "\n");
}
if (optRunsPerformed == m_StatisticsParameter.getMultiRuns()) finalizeOutput();
}
protected void finalizeOutput() {
printToTextListener("*******\n Reached target " + convergenceCnt + " times with threshold " + m_StatisticsParameter.getConvergenceRateThreshold() + ", rate " + convergenceCnt/(double)m_StatisticsParameter.getMultiRuns() + '\n');
printToTextListener("Best overall individual: " + BeanInspector.toString(bestIndivdualAllover) + '\n');
printToTextListener(" solution : " + AbstractEAIndividual.getDefaultDataString(bestIndivdualAllover) + '\n');
printToTextListener(" fitness : " + BeanInspector.toString(bestIndivdualAllover.getFitness()) + '\n');
if (TRACE)
System.out.println("stopOptPerformed");
if (TRACE)
System.out.println("End of run");
if (resultOut != null) {
SimpleDateFormat formatter = new SimpleDateFormat(
"E'_'yyyy.MM.dd'_at_'hh:mm:ss");
String StopDate = formatter.format(new Date());
resultOut.println("StopDate:" + StopDate);
resultOut.close();
}
}
public abstract String getHostName();
public void printToTextListener(String s) {
if ((resultOut != null)) resultOut.print(s);
for (InterfaceTextListener l : textListeners) {
if (m_StatisticsParameter.isShowTextOutput()) l.print(s);
}
}
public StatisticsParameter getStatisticsParameter() {
return m_StatisticsParameter;
}
protected boolean doTextOutput() {
return (resultOut != null) || (textListeners.size()>0);
}
protected String getOutputHeader(InterfaceAdditionalPopulationInformer informer, PopulationInterface pop) {
String headline = "Fit.-calls \t Best \t Mean \t Worst ";
if (informer == null)
return headline;
else return headline + "\t " + informer.getAdditionalFileStringHeader(pop);
}
protected String getOutputLine(InterfaceAdditionalPopulationInformer informer, PopulationInterface pop) {
StringBuffer sbuf = new StringBuffer(Integer.toString(functionCalls));
sbuf.append("\t");
sbuf.append(BeanInspector.toString(currentBestFit));
sbuf.append("\t");
if (meanFitness != null) {
sbuf.append(BeanInspector.toString(meanFitness));
sbuf.append(" \t ");
} else sbuf.append("- \t ");
if (currentWorstFit != null) {
sbuf.append(BeanInspector.toString(currentWorstFit));
sbuf.append(" \t ");
} else sbuf.append(" - \t ");
if (informer != null) {
sbuf.append(informer.getAdditionalFileStringValue(pop));
}
// if (m_BestIndividual instanceof AbstractEAIndividual) {
// sbuf.append(((AbstractEAIndividual)m_BestIndividual).getStringRepresentation());
// } else {
// sbuf.append(m_BestIndividual.toString());
// }
return sbuf.toString();
}
/**
*
*/
public synchronized void createNextGenerationPerformed(double[] bestfit,
double[] worstfit, int calls) {
functionCalls = calls;
currentBestFit = bestfit;
currentWorstFit = worstfit;
meanFitness = null;
if (firstPlot) {
initPlots(m_StatisticsParameter.getPlotDescriptions());
if (doTextOutput()) printToTextListener(getOutputHeader(null, null)+'\n');
firstPlot = false;
}
if (doTextOutput()) printToTextListener(getOutputLine(null, null)+'\n');
plotCurrentResults();
}
/**
* If the population returns a specific data array, this method is called instead of doing standard output
* @param pop
* @param informer
*/
public abstract void plotSpecificData(PopulationInterface pop, InterfaceAdditionalPopulationInformer informer);
protected abstract void plotCurrentResults();
/**
* Called at the very first (multirun mode) plot of a fitness curve.
*/
protected abstract void initPlots(List<String[]> description);
/**
* Do some data collection on the population. The informer parameter will not be handled by this method.
*
*/
public synchronized void createNextGenerationPerformed(PopulationInterface
pop, InterfaceAdditionalPopulationInformer informer) {
if (firstPlot) {
initPlots(m_StatisticsParameter.getPlotDescriptions());
if (doTextOutput()) printToTextListener(getOutputHeader(informer, pop)+'\n');
firstPlot = false;
}
if (pop.getSpecificData() != null) {
plotSpecificData(pop, informer);
return;
}
// by default plotting only the best
bestCurrentIndividual = pop.getBestIndividual().getClone();
if ((bestIndivdualAllover == null) || (secondIsBetter(bestIndivdualAllover, bestCurrentIndividual))) {
bestIndivdualAllover = bestCurrentIndividual;
// printToTextListener("new best found!, last was " + BeanInspector.toString(bestIndivdualAllover) + "\n");
}
// IndividualInterface WorstInd = Pop.getWorstIndividual();
if (bestCurrentIndividual == null) {
System.err.println("createNextGenerationPerformed BestInd==null");
}
currentBestFit = bestCurrentIndividual.getFitness().clone();
if (currentBestFit == null) {
System.err.println("BestFitness==null !");
}
meanFitness = pop.getMeanFitness().clone();
currentWorstFit = pop.getWorstIndividual().getFitness().clone();
functionCalls = pop.getFunctionCalls();
if (doTextOutput()) printToTextListener(getOutputLine(informer, pop)+'\n');
plotCurrentResults();
}
private boolean secondIsBetter(IndividualInterface indy1, IndividualInterface indy2) {
if (indy1 == null) return true;
if (indy2 == null) return false;
if (indy1 instanceof AbstractEAIndividual) return ((AbstractEAIndividual)indy2).isDominatingDebConstraints((AbstractEAIndividual)indy1);
return (indy1.isDominant(indy2));
}
public double[] getBestFitness() {
return currentBestFit;
}
public IndividualInterface getBestSolution() {
return bestIndivdualAllover;
}
public int getFitnessCalls() {
return functionCalls;
}
}

10
src/javaeva/server/stat/Statistics.java → src/javaeva/server/stat/InterfaceStatistics.java
View File

@ -12,20 +12,24 @@ package javaeva.server.stat;
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.problems.InterfaceAdditionalPopulationInformer;
/*==========================================================================*
* INTERFACE DECLARATION
*==========================================================================*/
/**
*
*/
public interface Statistics {
public interface InterfaceStatistics {
public void startOptPerformed(String InfoString,int runnumber); // called from processor
public void stopOptPerformed(boolean normal); // called from processor
public void addTextListener(InterfaceTextListener listener);
public boolean removeTextListener(InterfaceTextListener listener);
public void printToTextListener(String s);
public void createNextGenerationPerformed(PopulationInterface Pop);
public void createNextGenerationPerformed(PopulationInterface Pop, InterfaceAdditionalPopulationInformer informer);
public void createNextGenerationPerformed(double[] bestfit,double[] worstfit,int calls);
public StatisticsParameter getStatisticsParameter(); // called from moduleadapter
public Object getBestSolution(); // returns the best overall solution
public IndividualInterface getBestSolution(); // returns the best overall solution
public double[] getBestFitness(); // returns the best overall fitness
}

5
src/javaeva/server/stat/InterfaceTextListener.java Normal file
View File

@ -0,0 +1,5 @@
package javaeva.server.stat;
public interface InterfaceTextListener {
public void print(String str);
}

24
src/javaeva/server/stat/LoggerInterface.java
View File

@ -1,24 +0,0 @@
package javaeva.server.stat;
/*
* Title: JavaEvA
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture
* @author Holger Ulmer, Felix Streichert, Hannes Planatscher
* @version: $Revision: 10 $
* $Date: 2006-01-18 11:02:22 +0100 (Wed, 18 Jan 2006) $
* $Author: streiche $
*/
/*==========================================================================*
* IMPORTS
*==========================================================================*/
/*==========================================================================*
* INTERFACE DECLARATION
*==========================================================================*/
/**
*
*/
public interface LoggerInterface {
public void log(double[] values);
public void setlogInfo(String[] infos);
}

26
src/javaeva/server/stat/ProcessControlerInterface.java
View File

@ -1,26 +0,0 @@
package javaeva.server.stat;
/*
* Title: JavaEvA
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture
* @author Holger Ulmer, Felix Streichert, Hannes Planatscher
* @version: $Revision: 10 $
* $Date: 2006-01-18 11:02:22 +0100 (Wed, 18 Jan 2006) $
* $Author: streiche $
*/
/*==========================================================================*
* IMPORTS
*==========================================================================*/
/*==========================================================================*
* INTERFACE DECLARATION
*==========================================================================*/
/**
*
*/
public interface ProcessControlerInterface {
public void startOptPerformed(String InfoString);
public void stopOptPerformed();
public void printToTextListener(String s);
public StatisticsParameter getStatistisParameter();
}

24
src/javaeva/server/stat/StatisticsParameter.java
View File

@ -12,7 +12,8 @@ package javaeva.server.stat;
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import javaeva.tools.Tag;
import java.util.List;
import javaeva.tools.SelectedTag;
/*==========================================================================*
* INTERFACE DECLARATION
@ -24,23 +25,34 @@ public interface StatisticsParameter {
public String getName();
public void saveInstance();
public String globalInfo();
public void setTextoutput(int i);
// public void setTextoutput(int i);
public void setPlotoutput(int i);
public int GetPlotoutput();
public int GetTextoutput();
public String textoutputTipText();
public String plotFrequencyTipText();
// public int GetTextoutput();
// public String textoutputTipText();
// public String plotFrequencyTipText();
public void setMultiRuns(int x);
public int getMultiRuns();
public String multiRunsTipText();
public String GetInfoString();
public void setInfoString(String s);
public void setResultFileName(String x);
public boolean GetuseStatPlot();
public void setuseStatPlot(boolean x);
public List<String[]> getPlotDescriptions();
public SelectedTag getPlotFitness();
public void setPlotFitness(SelectedTag newMethod);
public String getResultFileName();
public void setResultFileName(String x);
public void setConvergenceRateThreshold(double x);
public double getConvergenceRateThreshold();
public boolean isShowTextOutput();
public void setShowTextOutput(boolean bShow);
// public String showTextOutputTipText();
}

81
src/javaeva/server/stat/StatisticsParameterImpl.java
View File

@ -14,6 +14,8 @@ package javaeva.server.stat;
* IMPORTS
*==========================================================================*/
import java.io.Serializable;
import java.util.ArrayList;
import javaeva.tools.Serializer;
import javaeva.tools.Tag;
import javaeva.tools.SelectedTag;
@ -43,6 +45,7 @@ public class StatisticsParameterImpl implements StatisticsParameter, Serializabl
protected String m_InfoString = "";
private boolean m_useStatPlot = true;
private double m_ConvergenceRateThreshold=0.001;
private boolean showTextOutput = true;
/**
*
*/
@ -70,6 +73,28 @@ public class StatisticsParameterImpl implements StatisticsParameter, Serializabl
return ret;
}
/**
* Return a list of String arrays describing the selected plot options, e.g. {"Best"} or {"Best", "Worst"}.
* For now, only one array is returned.
*
* @return a list of String arrays describing the selected plot options
*/
public ArrayList<String[]> getPlotDescriptions() {
ArrayList<String[]> desc = new ArrayList<String[]>();
switch (getPlotFitness().getSelectedTagID()) {
case StatisticsParameterImpl.PLOT_BEST_AND_WORST:
desc.add(new String[] {"Best", "Worst"});
break;
case StatisticsParameterImpl.PLOT_BEST:
desc.add(new String[] {"Best"});
break;
case StatisticsParameterImpl.PLOT_WORST:
desc.add(new String[] {"Worst"});
break;
}
return desc;
}
/**
*
*/
@ -108,28 +133,6 @@ public class StatisticsParameterImpl implements StatisticsParameter, Serializabl
return "Set of parameter describing the statistics which logs the state of the optimization.";
}
/**
*
*/
public void setTextoutput(int i) {
if (i >= 0)
m_Textoutput = i;
}
/**
*
*/
public int GetTextoutput() {
return m_Textoutput;
}
/**
*
*/
public String textoutputTipText() {
return "Describes how often information is printed in the textoutput frame. textoutput=1 -> there is a output every generation. textoutput<0 -> there is no text output";
}
/**
*
*/
@ -144,12 +147,12 @@ public class StatisticsParameterImpl implements StatisticsParameter, Serializabl
return m_Plotoutput;
}
/**
*
*/
public String plotFrequencyTipText() {
return "Frequency how often the fitness plot gets an update. plotoutput=1 -> there is a output every generation. plotoutput<0 -> there is no plot output";
}
// /**
// *
// */
// public String plotFrequencyTipText() {
// return "Frequency how often the fitness plot gets an update. plotoutput=1 -> there is a output every generation. plotoutput<0 -> there is no plot output";
// }
/**
*
@ -267,7 +270,7 @@ public class StatisticsParameterImpl implements StatisticsParameter, Serializabl
*
*/
public String resultFileNameTipText() {
return "File name for the result file, if 'none' no output file will be created.";
return "File name for the result file. If empty or 'none', no output file will be created.";
}
public String convergenceRateThresholdTipText() {
@ -284,9 +287,27 @@ public class StatisticsParameterImpl implements StatisticsParameter, Serializabl
/**
*
* @param x
*/
public double getConvergenceRateThreshold() {
return m_ConvergenceRateThreshold;
}
/**
* @return the showOutputData
*/
public boolean isShowTextOutput() {
return showTextOutput;
}
/**
*
* @param showOutputData the showOutputData to set
*/
public void setShowTextOutput(boolean bShow) {
this.showTextOutput = bShow;
}
public String showTextOutputTipText() {
return "Indicates whether further text output should be printed";
}
}

333
src/javaeva/server/stat/StatisticsStandalone.java
View File

@ -18,15 +18,12 @@ import java.io.FileOutputStream;
import java.io.PrintWriter;
import java.io.Serializable;
import java.net.InetAddress;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.List;
import wsi.ra.tool.StatisticUtils;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.problems.InterfaceAdditionalPopulationInformer;
/*
* ==========================================================================*
@ -36,130 +33,69 @@ import javaeva.server.go.PopulationInterface;
/**
*
*/
public class StatisticsStandalone implements Statistics, Serializable {
public final static boolean TRACE = false;
public class StatisticsStandalone extends AbstractStatistics implements InterfaceStatistics, Serializable {
/**
*
*/
private static final long serialVersionUID = 2621394534751748968L;
private static String m_MyHostName = "not def";
private long m_StartTime;
private String m_StartDate;
private IndividualInterface m_BestIndividual;
private int m_FunctionCalls;
private int m_OptRunsPerformed;
private String m_InfoString;
private ArrayList m_Result;
private ArrayList m_ResultString;
private boolean m_useMedian = false;
private boolean m_TimeTrace;
private ArrayList<ArrayList<double[]>[]> m_Result;
private ArrayList<String> m_ResultString;
// private boolean m_useMedian = false;
private double[] m_SpecificData;
private StatisticsParameter m_StatisticsParameter;
private boolean m_NoTrace;
private double m_FitnessMeanofALL;
private double m_SumOfBestFit = 0;
private int m_FunctionALLCalls;
private int m_NumberOfConvergence;
private double[] m_BestFitnessAtEnd;
private double m_ConvergenceRate;
private double m_FitnessMedianofALL;
/**
*
*/
public StatisticsStandalone(boolean trace) {
m_NoTrace = trace;
m_StatisticsParameter = new StatisticsParameterImpl();
public StatisticsStandalone(StatisticsParameter statParams) {
super();
m_StatisticsParameter = statParams;
try {
m_MyHostName = InetAddress.getLocalHost().getHostName();
} catch (Exception e) {
System.out.println("ERROR getting HostName " + e.getMessage());
}
m_OptRunsPerformed = 0;
m_NumberOfConvergence = 0;
m_FunctionALLCalls = 0;
}
/**
*
*/
public StatisticsStandalone(String resultFileName) {
this(new StatisticsParameterImpl());
m_StatisticsParameter.setResultFileName(resultFileName);
}
/**
*
*/
public StatisticsStandalone() {
m_StatisticsParameter = new StatisticsParameterImpl();
try {
m_MyHostName = InetAddress.getLocalHost().getHostName();
} catch (Exception e) {
System.out.println("ERROR getting HostName " + e.getMessage());
}
m_OptRunsPerformed = 0;
m_NumberOfConvergence = 0;
m_FunctionALLCalls = 0;
this(new StatisticsParameterImpl());
}
/**
*
*/
public void setTimeTrace() {
m_TimeTrace = true;
}
/**
*
*/
public synchronized void createNextGenerationPerformed(double[] bestfit, double[] worstfit, int calls) {
m_FunctionCalls = calls;
protected void initPlots(List<String[]> description) {
if (m_Result.size() == 0)
initContainer(new String[] {"Fitness"});
((ArrayList[]) m_Result.get(0))[m_OptRunsPerformed].add(new double[] {m_FunctionCalls, bestfit[0]});
}
/**
*
*/
public void createNextGenerationPerformed(double bestfit, int calls) {
if (m_TimeTrace == true)
m_FunctionCalls = (int) (System.currentTimeMillis() - m_StartTime);
else
m_FunctionCalls = calls;
if (m_Result.size() == 0)
initContainer(new String[] {"Fitness"});
((ArrayList[]) m_Result.get(0))[m_OptRunsPerformed].add(new double[] {
m_FunctionCalls, bestfit});
protected void plotCurrentResults() {
((ArrayList<double[]>[]) m_Result.get(0))[optRunsPerformed].add(new double[] {functionCalls, currentBestFit[0]});
}
/**
*
*/
public void createNextGenerationPerformed(PopulationInterface Pop) {
m_SpecificData = Pop.getSpecificData();
if (m_TimeTrace == true)
m_FunctionCalls = (int) (System.currentTimeMillis() - m_StartTime);
else
m_FunctionCalls = Pop.getFunctionCalls();
if (m_NoTrace == true)
return;
if (m_SpecificData != null) {
System.out.println(" m_SpecificData !!");
for (int i = 0; i < m_SpecificData.length; i++) {
if (m_Result.size() == 0)
initContainer(Pop.getSpecificDataNames());
((ArrayList[]) m_Result.get(i))[m_OptRunsPerformed].add(new double[] {m_FunctionCalls, m_SpecificData[i]});
public void plotSpecificData(PopulationInterface pop, InterfaceAdditionalPopulationInformer informer) {
if (TRACE) System.out.println(" m_SpecificData !!");
double[] specificData = pop.getSpecificData();
if (specificData != null) {
for (int i = 0; i < specificData.length; i++) {
((ArrayList<double[]>[]) m_Result.get(i))[optRunsPerformed].add(new double[] {functionCalls, specificData[i]});
}
return;
}
// then the default procedure on the best individual
this.m_BestIndividual = Pop.getBestIndividual();
if (m_BestIndividual == null) {
System.out.println("createNextGenerationPerformed BestInd==null in StatisticsStandalone");
return;
}
double BestFitness = m_BestIndividual.getFitness()[0];
if (m_Result.size() == 0)
initContainer(new String[] {"Fitness"});
((ArrayList[]) m_Result.get(0))[m_OptRunsPerformed].add(new double[] {m_FunctionCalls, BestFitness});
}
/**
@ -171,104 +107,45 @@ public class StatisticsStandalone implements Statistics, Serializable {
m_ResultString.add(description[i]);
}
for (int i = 0; i < m_Result.size(); i++)
((ArrayList[]) m_Result.get(i))[m_OptRunsPerformed] = new ArrayList();
((ArrayList[]) m_Result.get(i))[optRunsPerformed] = new ArrayList<double[]>();
}
/**
*
*/
public void startOptPerformed(String InfoString, int runnumber) {
if (m_OptRunsPerformed == 0) {
m_Result = new ArrayList();
m_ResultString = new ArrayList();
public void startOptPerformed(String infoString, int runNumber) {
super.startOptPerformed(infoString, runNumber);
if (runNumber == 0) {
m_Result = new ArrayList<ArrayList<double[]>[]>();
m_ResultString = new ArrayList<String>();
m_BestFitnessAtEnd = new double[this.m_StatisticsParameter.getMultiRuns()];
} else {
for (int i = 0; i < m_Result.size(); i++)
((ArrayList[]) m_Result.get(i))[m_OptRunsPerformed] = new ArrayList();
}
m_InfoString = InfoString;
m_StartTime = System.currentTimeMillis();
if (m_OptRunsPerformed == 0) {
SimpleDateFormat formatter = new SimpleDateFormat("E'_'yyyy.MM.dd'_'HH.mm.ss");
m_StartDate = formatter.format(new Date());
((ArrayList[]) m_Result.get(i))[optRunsPerformed] = new ArrayList<ArrayList<double[]>[]>();
}
m_InfoString = infoString;
}
/**
*
*/
public void stopOptPerformed(boolean normal) {
if (!normal) {
System.err.println("stopped unsuccessfully... not updating stats...");
} else {
m_FunctionALLCalls = m_FunctionALLCalls + m_FunctionCalls;
if (m_BestIndividual != null) {
m_SumOfBestFit = m_SumOfBestFit + this.m_BestIndividual.getFitness()[0];
m_BestFitnessAtEnd[m_OptRunsPerformed] = this.m_BestIndividual.getFitness()[0];
}
// else {
// System.out.println(" else");
// }
super.stopOptPerformed(normal);
m_OptRunsPerformed++;
if (m_BestIndividual != null) {
if (StatisticUtils.norm(m_BestIndividual.getFitness()) < this.m_StatisticsParameter.getConvergenceRateThreshold())
m_NumberOfConvergence++;
if (bestCurrentIndividual != null) {
m_SumOfBestFit = m_SumOfBestFit + bestCurrentIndividual.getFitness()[0];
m_BestFitnessAtEnd[optRunsPerformed-1] = bestCurrentIndividual.getFitness()[0];
}
//System.out.println("stopOptPerformed :"+m_OptRunsPerformed);
if (m_OptRunsPerformed == m_StatisticsParameter.getMultiRuns()) {
m_ConvergenceRate = ((double) m_NumberOfConvergence) / ((double) m_OptRunsPerformed);
m_FitnessMeanofALL = m_SumOfBestFit / ((double) m_OptRunsPerformed);
if (optRunsPerformed == m_StatisticsParameter.getMultiRuns()) {
m_FitnessMeanofALL = m_SumOfBestFit / ((double) optRunsPerformed);
//System.out.println("m_FitnessMeanofALL "+m_FitnessMeanofALL);
m_FitnessMedianofALL = getMedian(m_BestFitnessAtEnd);
m_OptRunsPerformed = 0;
m_NumberOfConvergence = 0;
if (TRACE)
System.out.println("stopOptPerformed");
if (TRACE)
System.out.println("End of ES run");
}
}
}
/**
*
*/
public void printToTextListener(String s) {
// if (m_StatisticsParameter.getTextoutput() <= 0)
// return;
// if (m_ResultOut != null)
// m_ResultOut.println(s);
finalizeOutput();
}
/**
*
*/
public StatisticsParameter getStatisticsParameter() {
return m_StatisticsParameter;
}
/**
*
*/
public Object getBestSolution() {
return m_BestIndividual.getDoubleArray();
}
/**
*
*/
public int getFitnessCalls() {
return m_FunctionCalls;
}
/**
*
*/
public double[] getBestFitness() {
return this.m_BestIndividual.getFitness();
}
/**
@ -276,7 +153,7 @@ public class StatisticsStandalone implements Statistics, Serializable {
*/
private static double getMedian(double[] in) {
double[] x = (double[]) in.clone();
double ret = 0;
// double ret = 0;
Arrays.sort(x);
int m = (int) (x.length / 2.0);
return x[m];
@ -286,11 +163,11 @@ public class StatisticsStandalone implements Statistics, Serializable {
/**
* write result of all runs.
*/
public static File[] writeResult_All_Container(ArrayList StatList, String FileName) {
public static File[] writeResult_All_Container(ArrayList<StatisticsStandalone> StatList, String FileName) {
File ret[] = new File[((StatisticsStandalone) StatList.get(0)).m_Result.size()];
//System.out.println("StatList.size " + StatList.size());
for (int counter = 0; counter < ret.length; counter++) {
ArrayList staticResult = new ArrayList();
ArrayList<String> staticResult = new ArrayList<String>();
String staticDescription = "calls ";
for (int index = 0; index < StatList.size(); index++) {
StatisticsStandalone Stat = (StatisticsStandalone) StatList.get(index);
@ -344,53 +221,53 @@ public class StatisticsStandalone implements Statistics, Serializable {
return ret;
}
/**
* write result of all runs.
*/
public static File writeResultErrorBar(ArrayList StatList, String FileName) {
File ret = null;
ArrayList staticResult = new ArrayList();
String staticDescription = "";
for (int index = 0; index < StatList.size(); index++) {
StatisticsStandalone Stat = (StatisticsStandalone) StatList.get(index);
staticDescription = staticDescription + Stat.m_InfoString + " ";
System.out.println(" laenge m_result "+Stat.m_Result.size());
for (int i=0;i<Stat.m_Result.size();i++) {
ArrayList[] list = (ArrayList[])Stat.m_Result.get(i);
System.out.println(" i "+i+" ArrayList[]" +list.length);
for (int j=0;j<list.length;j++) {
if (staticResult.size()==j)
staticResult.add(new String(""));
String temp = (String)staticResult.get(j);
double[] x = ((double[])list[j].get(list[j].size()-1));
temp = temp +" "+ x[1];staticResult.set(j,temp);
//System.out.println(" list j "+j +" list[j].size "+ list[j].size());
//System.out.println(" x "+x[0]+ " " + x.length);
}
}
} // end of for index
try {
File d = new File(m_MyHostName);
d.mkdir();
ret = new File(m_MyHostName + "//" + "Error" + FileName + ".txt");
ret.createNewFile();
PrintWriter Out = new PrintWriter(new FileOutputStream(ret));
Out.println(staticDescription);
for (int i = 0; i < staticResult.size(); i++) {
Out.println( (String) staticResult.get(i));
System.out.println("print " + (String) staticResult.get(i));
}
Out.flush();
Out.close();
}
catch (Exception e) {
e.printStackTrace();
}
staticResult = null;
staticDescription = "";
return ret;
}
// /**
// * write result of all runs.
// */
// public static File writeResultErrorBar(ArrayList StatList, String FileName) {
// File ret = null;
// ArrayList staticResult = new ArrayList();
// String staticDescription = "";
// for (int index = 0; index < StatList.size(); index++) {
// StatisticsStandalone Stat = (StatisticsStandalone) StatList.get(index);
// staticDescription = staticDescription + Stat.m_InfoString + " ";
// System.out.println(" laenge m_result "+Stat.m_Result.size());
// for (int i=0;i<Stat.m_Result.size();i++) {
// ArrayList[] list = (ArrayList[])Stat.m_Result.get(i);
// System.out.println(" i "+i+" ArrayList[]" +list.length);
// for (int j=0;j<list.length;j++) {
// if (staticResult.size()==j)
// staticResult.add(new String(""));
// String temp = (String)staticResult.get(j);
// double[] x = ((double[])list[j].get(list[j].size()-1));
// temp = temp +" "+ x[1];staticResult.set(j,temp);
// //System.out.println(" list j "+j +" list[j].size "+ list[j].size());
// //System.out.println(" x "+x[0]+ " " + x.length);
//
// }
// }
// } // end of for index
// try {
// File d = new File(m_MyHostName);
// d.mkdir();
// ret = new File(m_MyHostName + "//" + "Error" + FileName + ".txt");
// ret.createNewFile();
// PrintWriter Out = new PrintWriter(new FileOutputStream(ret));
// Out.println(staticDescription);
// for (int i = 0; i < staticResult.size(); i++) {
// Out.println( (String) staticResult.get(i));
// System.out.println("print " + (String) staticResult.get(i));
// }
// Out.flush();
// Out.close();
// }
// catch (Exception e) {
// e.printStackTrace();
// }
// staticResult = null;
// staticDescription = "";
// return ret;
// }
/**
@ -418,14 +295,6 @@ public class StatisticsStandalone implements Statistics, Serializable {
return m_FitnessMeanofALL;
}
/**
*
* @return
*/
public double getConvergenceRate() {
return m_ConvergenceRate;
}
/**
*
*/
@ -433,11 +302,7 @@ public class StatisticsStandalone implements Statistics, Serializable {
return m_FitnessMedianofALL;
}
/**
*
*/
public int getFitnessALLCalls() {
return m_FunctionALLCalls;
public String getHostName() {
return m_MyHostName;
}
}

374
src/javaeva/server/stat/StatisticsWithGUI.java
View File

@ -13,26 +13,23 @@ package javaeva.server.stat;
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import java.io.FileOutputStream;
import java.io.PrintWriter;
import java.io.Serializable;
import java.net.InetAddress;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import javaeva.gui.BeanInspector;
import javaeva.gui.Graph;
import javaeva.gui.GraphWindow;
import javaeva.gui.JTextoutputFrame;
import javaeva.gui.JTextoutputFrameInterface;
import javaeva.server.EvAServer;
import javaeva.server.go.IndividualInterface;
import javaeva.server.go.PopulationInterface;
import javaeva.server.go.problems.InterfaceAdditionalPopulationInformer;
import javaeva.tools.EVAERROR;
import wsi.ra.jproxy.MainAdapterClient;
import wsi.ra.jproxy.RMIProxyLocal;
import wsi.ra.jproxy.RMIProxyRemote;
import wsi.ra.tool.StatisticUtils;
/*==========================================================================*
* CLASS DECLARATION
@ -40,19 +37,17 @@ import wsi.ra.tool.StatisticUtils;
/**
* A statistics class to plot fitness curves in JavaEvA client-server mode.
*/
public class StatisticsWithGUI implements Serializable, Statistics {
public class StatisticsWithGUI extends AbstractStatistics implements Serializable, InterfaceStatistics {
/**
*
*/
private static final long serialVersionUID = -243368825290670991L;
public static final boolean TRACE = false;
private static final long serialVersionUID = 3213603978877954103L;
// Plot frames:
private GraphWindow[] m_FitnessFrame; // frame for the fitness plots
private Graph[][] m_FitnessGraph;
private Graph[][] m_StatGraph;
private String m_GraphInfoString;
private boolean m_firstPlot = true;
protected int m_PlotCounter;
private MainAdapterClient m_MainAdapterClient; // the connection to the client MainAdapter
@ -60,24 +55,7 @@ public class StatisticsWithGUI implements Serializable, Statistics {
//////////////
protected static String m_MyHostName = null;
protected PrintWriter m_ResultOut;
protected PrintWriter m_OverAllResultOut;
protected long m_StartTime;
protected String m_StartDate;
protected int m_TextCounter;
protected StatisticsParameter m_StatisticsParameter;
protected double[] m_BestFitness;
protected double[] m_MeanFitness;
protected double[] m_WorstFitness;
protected double[] m_BestSolution;
protected IndividualInterface m_BestIndividual;
protected int m_FunctionCalls;
protected int m_OptRunsPerformed;
protected String m_InfoString;
// private String m_FileName = "";
// private static boolean m_useMedian = false;
private double[] m_SpecificData;
private int m_ConvergenceCnt;
/**
*
*/
@ -113,151 +91,61 @@ public class StatisticsWithGUI implements Serializable, Statistics {
JTextoutputFrame("TextOutput " + m_MyHostName),
m_MainAdapterClient);
}
m_OptRunsPerformed = 0;
m_ConvergenceCnt = 0;
if (TRACE)
System.out.println("Constructor RMIStatistics --> end");
addTextListener(m_ProxyPrinter);
if (TRACE) System.out.println("Constructor RMIStatistics --> end");
}
/**
*
*/
public synchronized void startOptPerformed(String InfoString, int runnumber) {
if (runnumber == 0) {
m_OptRunsPerformed = 0;
m_ConvergenceCnt = 0;
m_firstPlot = true;
m_StatisticsParameter.saveInstance();
}
if (TRACE)
System.out.println("Statistics.startOptPerformed " + runnumber);
m_GraphInfoString = InfoString;
m_StartTime = System.currentTimeMillis();
m_TextCounter = m_StatisticsParameter.GetTextoutput();
public synchronized void startOptPerformed(String infoString, int runNumber) {
super.startOptPerformed(infoString, runNumber);
m_GraphInfoString = infoString;
// m_TextCounter = m_StatisticsParameter.GetTextoutput();
m_PlotCounter = m_StatisticsParameter.GetPlotoutput();
if (m_OptRunsPerformed == 0) {
SimpleDateFormat formatter = new SimpleDateFormat(
"E'_'yyyy.MM.dd'_at_'hh.mm.ss");
m_StartDate = formatter.format(new Date());
// open the result file:
String x = m_StatisticsParameter.getResultFileName();
if (!x.equalsIgnoreCase("none") && !x.equals("")) {
String name = x + "_" + m_StartDate + ".txt";
if (TRACE)
System.out.println("FileName =" + name);
try {
m_ResultOut = new PrintWriter(new FileOutputStream(name));
} catch (Exception e) {
e.printStackTrace();
System.out.println("Error: " + e);
}
m_ResultOut.println("StartDate:" + m_StartDate);
m_ResultOut.println("On Host:" + m_MyHostName);
} else
m_ResultOut = null;
}
}
/**
*
*/
// private void plotEndogenAttributes(PopulationInterface Pop) {
// if (m_StatisticsParameter.getPrintObjects() == false)
// return;
// double[] x = ( (IndividualInterface) (Pop.getBestIndividual())).
// getDoubleArray();
// for (int ii = 0; ii < x.length; ii++)
// m_ObjectsGraph[ii /*+x.length*i*/].setConnectedPoint(m_FunctionCalls,
// x[ii]);
// //}
// }
/**
*
*/
public void stopOptPerformed(boolean normal) {
if (TRACE)
System.out.println("stopOptPerformed");
m_OptRunsPerformed++;
// overall best objectives:
String s = "";
if (m_BestSolution != null) {
for (int i = 0; i < m_BestSolution.length; i++)
s = s + " x[" + i + "]=" + m_BestSolution[i];
}
printToTextListener(" Best solution objectives: " + s);
s = "";
if (m_BestSolution != null) {
for (int i = 0; i < m_BestFitness.length; i++)
s = s + " f[" + i + "]=" + m_BestFitness[i];
}
super.stopOptPerformed(normal);
if (m_BestIndividual != null) {
if (StatisticUtils.norm(m_BestIndividual.getFitness()) < this.m_StatisticsParameter.getConvergenceRateThreshold()) {
m_ConvergenceCnt++;
}
}
printToTextListener(" Best solution fitness: " + s);
if (m_OptRunsPerformed <= m_StatisticsParameter.getMultiRuns()) {
if ((m_StatisticsParameter.getMultiRuns() > 1) && (m_StatGraph != null)) {
if (optRunsPerformed > m_StatisticsParameter.getMultiRuns()) System.err.println("error: this shouldnt happen (StatisticsWithGUI::stopOptPerformed)");
// unite the graphs only if the break was "normal"
if (normal && (m_StatisticsParameter.getMultiRuns() > 1) && (m_StatGraph != null)) {
// unite the point sets for a multirun
for (int i = 0; i < m_FitnessGraph.length; i++) {
for (int j = 0; j < m_FitnessGraph[i].length; j++) {
// unite the graphs only if the break was "normal"
if (normal && m_FitnessFrame[i].isValid()) {
if (m_FitnessFrame[i].isValid()) {
m_StatGraph[i][j].addGraph(m_FitnessGraph[i][j]);
m_StatGraph[i][j].setInfoString(m_FitnessGraph[i][j].getInfo() +
"_" +
m_StatisticsParameter.GetInfoString() +
" Mean of " + m_OptRunsPerformed +
" runs",
m_StatGraph[i][j].setInfoString(
(m_FitnessGraph[i][j].getInfo().length() > 0 ? (m_FitnessGraph[i][j].getInfo() + "_") : "" )
+ (m_StatisticsParameter.GetInfoString().length() > 0 ? (m_StatisticsParameter.GetInfoString() + "_") : "" )
+ m_StatisticsParameter.GetInfoString()
+ "Mean_of_" + optRunsPerformed + " ",
(float) 2.0);
m_FitnessGraph[i][j].clear();
}
}
}
} else {
// create new graphs?? seems superfluous here. (MK)
// for (int i = 0; i < m_FitnessFrame.length; i++) {
// for (int j = 0; j < m_FitnessGraph[i].length; j++) {
// m_FitnessGraph[i][j] = m_FitnessFrame[i].getNewGraph(
// m_StatisticsParameter.GetInfoString() + m_GraphInfoString);
//
}
// this is inconsistent, shouldnt be necessary here but reset in startOpt...
// if (optRunsPerformed == m_StatisticsParameter.getMultiRuns()) {
// finalizeRuns(m_ConvergenceCnt);
// m_OptRunsPerformed = 0;
// m_ConvergenceCnt = 0;
// }
// }
}
}
if (m_OptRunsPerformed == m_StatisticsParameter.getMultiRuns()) {
printToTextListener("*******\n Reached target " + m_ConvergenceCnt + " times with threshold " + m_StatisticsParameter.getConvergenceRateThreshold() + ", rate " + m_ConvergenceCnt/(double)m_StatisticsParameter.getMultiRuns());
m_OptRunsPerformed = 0;
m_ConvergenceCnt = 0;
if (TRACE)
System.out.println("stopOptPerformed");
if (TRACE)
System.out.println("End of run");
if (m_ResultOut != null) {
SimpleDateFormat formatter = new SimpleDateFormat(
"E'_'yyyy.MM.dd'_at_'hh:mm:ss");
String StopDate = formatter.format(new Date());
m_ResultOut.println("StopDate:" + StopDate);
m_ResultOut.close();
}
}
}
/**
* Called at the very first (multirun mode) plot of a fitness curve.
*/
private void initPlots(ArrayList description) {
if (TRACE)
System.out.println("initPlots");
m_firstPlot = false;
protected void initPlots(List<String[]> description) {
if (TRACE) System.out.println("initPlots");
if (m_ProxyPrinter != null) m_ProxyPrinter.setShow(m_StatisticsParameter.isShowTextOutput());
m_FitnessFrame = new GraphWindow[description.size()];
for (int i = 0; i < m_FitnessFrame.length; i++) {
m_FitnessFrame[i] = GraphWindow.getInstance(m_MainAdapterClient,
m_GraphInfoString + " " + i + " " + " on " + m_MyHostName + ", VM " + EvAServer.m_NumberOfVM, "function calls", "fitness");
// m_FitnessFrame[i] = GraphWindow.getInstance(m_MainAdapterClient, m_GraphInfoString + " " + i + " " + " on " + m_MyHostName + ", VM " + EvAServer.m_NumberOfVM, "function calls", "fitness");
m_FitnessFrame[i] = GraphWindow.getInstance(m_MainAdapterClient, "Optimization " + i + " " + " on " + m_MyHostName + ", VM " + EvAServer.m_NumberOfVM, "function calls", "fitness");
}
m_FitnessGraph = new Graph[description.size()][];
@ -267,6 +155,7 @@ public class StatisticsWithGUI implements Serializable, Statistics {
m_FitnessGraph[i] = new Graph[((String[]) description.get(i)).length];
for (int j = 0; j < m_FitnessGraph[i].length; j++) {
String[] d = (String[]) description.get(i);
// this is where the column string for ascii export is created!
m_FitnessGraph[i][j] =
m_FitnessFrame[i].getNewGraph(d[j] + "_" +
m_StatisticsParameter.GetInfoString() +
@ -308,94 +197,7 @@ public class StatisticsWithGUI implements Serializable, Statistics {
if (isValidGraph) m_FitnessGraph[graph][subGraph].setConnectedPoint(x, y);
}
private ArrayList<String[]> getDescription() {
ArrayList<String[]> desc = new ArrayList<String[]>();
int fitnessplot_setting = 0;
fitnessplot_setting = m_StatisticsParameter.getPlotFitness().
getSelectedTag().getID();
switch (fitnessplot_setting) {
case StatisticsParameterImpl.PLOT_BEST_AND_WORST:
desc.add(new String[] {"Best", "Worst"});
break;
case StatisticsParameterImpl.PLOT_BEST:
desc.add(new String[] {"Best"});
break;
case StatisticsParameterImpl.PLOT_WORST:
desc.add(new String[] {"Worst"});
break;
}
return desc;
}
/**
*
*/
public synchronized void createNextGenerationPerformed(double[] bestfit,
double[] worstfit, int calls) {
m_FunctionCalls = calls;
m_BestFitness = bestfit;
m_WorstFitness = worstfit;
if (m_firstPlot == true) {
initPlots(getDescription());
}
plotCurrentResults();
}
/**
*
*/
public synchronized void createNextGenerationPerformed(PopulationInterface
Pop) {
m_SpecificData = Pop.getSpecificData();
if (m_SpecificData != null) {
plotSpecificData(Pop);
return;
}
// by default plotting only the best
IndividualInterface BestInd = Pop.getBestIndividual();
IndividualInterface WorstInd = Pop.getWorstIndividual();
if (BestInd == null) {
System.err.println("createNextGenerationPerformed BestInd==null");
return;
}
if (m_firstPlot == true) {
initPlots(getDescription());
}
double[] BestFitness = BestInd.getFitness();
double[] WorstFitness = WorstInd.getFitness();
if (BestFitness == null)
System.err.println("BestFitness==null !");
m_BestIndividual = BestInd.getClone();
m_BestSolution = (double[]) BestInd.getDoubleArray().clone();
m_BestFitness = (double[]) BestFitness.clone();
m_WorstFitness = (double[]) WorstFitness.clone();
m_FunctionCalls = Pop.getFunctionCalls();
plotCurrentResults();
}
private void plotCurrentResults() {
// Text-Ouput
m_TextCounter--;
if (m_TextCounter == 0 || m_ResultOut != null) {
m_TextCounter = m_StatisticsParameter.GetTextoutput();
String s = "calls , " + m_FunctionCalls + " bestfit , ";
for (int i = 0; i < m_BestFitness.length; i++)
s = s + m_BestFitness[i];
if (m_WorstFitness != null) {
s = s + " , worstfit , ";
for (int i = 0; i < m_WorstFitness.length; i++)
s = s + m_WorstFitness[i] + " , ";
}
// for (int i = 0; i < this.m_BestSolution.length; i++)
// s = s + " x[" + i + "]=" + m_BestSolution[i];
printToTextListener(s);
}
protected void plotCurrentResults() {
// Plots
m_PlotCounter--;
@ -408,57 +210,29 @@ public class StatisticsWithGUI implements Serializable, Statistics {
boolean doPlotWorst = (fitnessplot_setting == StatisticsParameterImpl.PLOT_WORST)
|| (fitnessplot_setting == StatisticsParameterImpl.PLOT_BEST_AND_WORST);
if (doPlotBest) {
plotFitnessPoint(0, 0, m_FunctionCalls, m_BestFitness[0]);
plotFitnessPoint(0, 0, functionCalls, currentBestFit[0]);
}
if (doPlotWorst) {
// schlechteste Fitness plotten
m_PlotCounter = m_StatisticsParameter.GetPlotoutput();
if (m_WorstFitness == null) {
if (currentWorstFit == null) {
System.err.println("m_WorstFitness==null in plotStatisticsPerformed");
return;
}
plotFitnessPoint(0, (doPlotBest ? 1 : 0) , m_FunctionCalls, m_WorstFitness[0]);
plotFitnessPoint(0, (doPlotBest ? 1 : 0) , functionCalls, currentWorstFit[0]);
}
}
// if (m_PlotCounter == 0) {
// m_PlotCounter = m_StatisticsParameter.GetPlotoutput();
// // int fitnessplot_setting = m_StatisticsParameter.getPlotFitness().getSelectedTag().getID();
// if ((fitnessplot_setting == StatisticsParameterImpl.PLOT_BEST)
// ||
// (fitnessplot_setting == StatisticsParameterImpl.PLOT_BEST_AND_WORST)) {
// if (m_BestFitness == null) {
// System.out.println("m_BestFitness==null in plotStatisticsPerformed");
// return;
// }
// m_FitnessGraph[0][0].setConnectedPoint(m_FunctionCalls,
// m_BestFitness[0]);
// }
// if ((fitnessplot_setting == StatisticsParameterImpl.PLOT_WORST)
// ||
// (fitnessplot_setting == StatisticsParameterImpl.PLOT_BEST_AND_WORST)) {
// // schlecht. Fitness plotten
// m_PlotCounter = m_StatisticsParameter.GetPlotoutput();
// if (m_WorstFitness == null) {
// System.out.println(
// "m_WorstFitness==null in plotStatisticsPerformed");
// return;
// }
// m_FitnessGraph[0][m_FitnessGraph[0].length -
// 1].setConnectedPoint(m_FunctionCalls, m_WorstFitness[0]);
// }
// }
}
/**
*
*/
public void plotSpecificData(PopulationInterface Pop) {
// What in the name of ... is this method??
m_FunctionCalls = Pop.getFunctionCalls();
public void plotSpecificData(PopulationInterface pop, InterfaceAdditionalPopulationInformer informer) {
double[] specificData = pop.getSpecificData();
int calls = pop.getFunctionCalls();
ArrayList<String[]> description = new ArrayList<String[]>();
ArrayList<String> temp = new ArrayList<String>();
String[] ss = Pop.getSpecificDataNames();
String[] ss = pop.getSpecificDataNames();
for (int i = 0; i < ss.length; i++) {
if (ss[i].lastIndexOf("*") == -1) {
temp.add(ss[i]);
@ -476,23 +250,13 @@ public class StatisticsWithGUI implements Serializable, Statistics {
description.add(line);
}
if (m_firstPlot == true)
initPlots(description);
m_TextCounter--;
if (m_TextCounter == 0 || m_ResultOut != null) {
m_TextCounter = m_StatisticsParameter.GetTextoutput();
String s = "calls , " + m_FunctionCalls + " bestfit , ";
for (int i = 0; i < m_BestFitness.length; i++)
s = s + m_BestFitness[i];
if (m_WorstFitness != null) {
s = s + " , worstfit , ";
for (int i = 0; i < m_WorstFitness.length; i++)
s = s + m_WorstFitness[i] + " , ";
if (doTextOutput()) {
String s = "calls , " + calls + " bestfit , ";
s = s + BeanInspector.toString(currentBestFit);
if (currentWorstFit != null) {
s = s + " , worstfit , " + BeanInspector.toString(currentWorstFit);
}
// for (int i = 0; i < this.m_BestSolution.length; i++)
// s = s + " x[" + i + "]=" + m_BestSolution[i];
printToTextListener(s);
printToTextListener(s + "\n");
}
m_PlotCounter--;
@ -501,7 +265,7 @@ public class StatisticsWithGUI implements Serializable, Statistics {
int index = 0;
for (int i = 0; i < m_FitnessGraph.length; i++) {
for (int j = 0; j < m_FitnessGraph[i].length; j++) {
plotFitnessPoint(i, j, m_FunctionCalls, m_SpecificData[index]);
plotFitnessPoint(i, j, calls, specificData[index]);
index++;
}
}
@ -509,35 +273,7 @@ public class StatisticsWithGUI implements Serializable, Statistics {
}
}
/**
*
*/
public void printToTextListener(String s) {
// if (m_StatisticsParameter.GetTextoutput() <= 0)
// return;
// System.out.println(s);
if (m_ResultOut != null)
m_ResultOut.println(s);
if (m_ProxyPrinter != null)
m_ProxyPrinter.print(s);
}
/**
*
*/
public StatisticsParameter getStatisticsParameter() {
return m_StatisticsParameter;
}
/**
*
*/
public Object getBestSolution() {
return m_BestSolution;
}
/**
*
*/
public double[] getBestFitness() {
return m_BestFitness;
public String getHostName() {
return m_MyHostName;
}
}

1
src/javaeva/tools/Mathematics.java
View File

@ -122,7 +122,6 @@ public class Mathematics {
}
return linearInterpolation(x, x0, x1, f0, f1);
}
//>>>>>>> .merge-right.r288
/**
* @param f0

284
src/javaeva/tools/MatlabControl.java Normal file
View File

@ -0,0 +1,284 @@
package javaeva.tools;
/* MatlabControl.java
*
* "Copyright (c) 2001 and The Regents of the University
* of California. All rights reserved.
*
* Permission to use, copy, modify, and distribute this software and its
* documentation for any purpose, without fee, and without written agreement is
* hereby granted, provided that the above copyright notice and the following
* two paragraphs appear in all copies of this software.
*
* IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY FOR
* DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT
* OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF
* CALIFORNIA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* THE UNIVERSITY OF CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES,
* INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY
* AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS
* ON AN "AS IS" BASIS, AND THE UNIVERSITY OF CALIFORNIA HAS NO OBLIGATION TO
* PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS."
*
* $\Id$
*/
/**
* This class interfaces with the current Matlab session, allowing you
* to call matlab commands from Java objects
*
* @author <a href="mailto:kamin@cs.berkeley.edu">Kamin Whitehouse</a>
*/
import com.mathworks.jmi.*;
public class MatlabControl {
Matlab matlab = null; //this is the com.mathworks.jmi.Matlab class,which has functionality allowing one to interact with the matlab session.
boolean useCb=false;
Object returnVal;
String callbackFunction;
/***************CONSTRUCTORS****************/
/*** usually, the default constructor with no arguments is fine.
* Sometimes, a callback function is useful. A callback function
* allows the user to pass the command and its arguments to a
* matlab function, which will figure out the best way to execute
* it, instead of trying to execute it directly from java. This
* is often useful for handling/printing errors as well as dealing
* with native matlab data types, like cell arrays. The cell
* array is not really converted to a java type, only the handle
* of the cell array is converted to a java type, so often a
* matlab callback function is useful for dealing specially with
* cell arrays, etc.
***/
public MatlabControl() {
this(false);
}
public Matlab getMatlab() {
return matlab;
}
public MatlabControl(boolean useCallback) {
this(useCallback,new String("matlabControlcb"));
}
public MatlabControl(boolean useCallback, String CallBackFunction) {
try {
if (matlab == null)
matlab = new Matlab();//this command links to the current matlab session
} catch (Exception e) {
System.out.println(e.toString());
}
returnVal = new String("noReturnValYet");
this.useCb=useCallback;
callbackFunction=CallBackFunction;
}
/***************USER-LEVEL FUNCTIONS****************/
/***call these from any java thread (as long as the thread
* originated from within matlab)
***/
/**Evaluate a string, Matlab script, or Matlab function**/
public void eval(String Command) {
Matlab.whenMatlabReady(new MatlabEvalCommand(Command,useCb));
}
/**Evaluate a Matlab function that requires arguments. Each element of
the "args" vector is an argument to the function "Command"**/
public void feval(String Command, Object[] args) {
Matlab.whenMatlabReady(new MatlabFevalCommand(Command, args,useCb));
}
/**Evaluate a Matlab function that requires arguments and provide return arg.
* Each element of the "args" vector is an argument to the function "Command"**/
public Object blockingFeval(String Command, Object[] args) throws InterruptedException {
returnVal = new String("noReturnValYet");
Matlab.whenMatlabReady(new MatlabBlockingFevalCommand(Command, args, useCb, this));
if (returnVal.equals("noReturnValYet")) {
synchronized(returnVal){
returnVal.wait();
}
}
return returnVal;
}
/**Echoing the eval statement is useful if you want to see in
* matlab each time that a java function tries to execute a matlab
* command **/
public void setEchoEval(boolean echo){
Matlab.setEchoEval(echo);
}
/**********TEST FUNCTIONS***********************/
/***call these functions from within Matlab itself. These are examples of the general execution order:
1. instantiate java object from matlab
2. spawn a new Java thread
3. call matlab functions from new java thread
EXAMPLE (from matlab prompt):
>> mc=MatlabControl;
>> mc.testEval('x = 5')
x =
5
> mc.testFeval('help',{'sqrt'})
SQRT Square root.
SQRT(X) is the square root of the elements of X. Complex
results are produced if X is not positive.
See also SQRTM.
Overloaded methods
help sym/sqrt.m
>> mc.testBlockingFeval('sqrt',{x})
2.2361
****/
public void testEval(final String Command) {
class Caller extends Thread{
public void run(){
try{
eval(Command);
} catch(Exception e){
// System.out.println(e.toString());
}
}
}
Caller c = new Caller();
c.start();
}
public void testFeval(final String Command, final Object[] args) {
class Caller extends Thread{
public void run(){
try{
feval(Command, args);
} catch(Exception e){
// System.out.println(e.toString());
}
}
}
Caller c = new Caller();
c.start();
}
public void testBlockingFeval(final String Command, final Object[] args) {
class Caller extends Thread{
public void run(){
try{
Object rets[] = new Object[1];
rets[0] = blockingFeval(Command, args);
feval("disp",rets );
} catch(Exception e){
// System.out.println(e.toString());
}
}
}
Caller c = new Caller();
c.start();
}
/******** INTERNAL FUNCTIONS AND CLASSES *******/
public void setReturnVal(Object val) {
synchronized(returnVal){
Object oldVal = returnVal;
returnVal = val;
oldVal.notifyAll();
}
}
/** This class is used to execute a string in Matlab **/
protected class MatlabEvalCommand implements Runnable {
String command;
boolean useCallback,eval;
Object[] args;
public MatlabEvalCommand(String Command, boolean useCallback) {
command = Command;
this.useCallback = useCallback;
eval=true;
args=null;
}
protected Object useMatlabCommandCallback(String command, Object[] args){
int numArgs = (args==null)? 0 : args.length;
Object newArgs[] = new Object[numArgs+1] ;
newArgs[0]=command;
for(int i=0;i<numArgs;i++){
newArgs[i+1] = args[i];
}
try{
return Matlab.mtFevalConsoleOutput(callbackFunction, newArgs, 0);
}
catch(Exception e){
System.out.println(e.toString());
return null;
}
}
public void run() {
try {
if(useCallback){
useMatlabCommandCallback(command, args);
}
else if(eval){
matlab.evalConsoleOutput(command);
}
else{
matlab.fevalConsoleOutput(command, args);
}
} catch (Exception e) {
System.out.println(e.toString());
}
}
}
/** This class is used to execute a function in matlab and pass parameters**/
protected class MatlabFevalCommand extends MatlabEvalCommand {
public MatlabFevalCommand(String Command, Object[] Args, boolean useCallback) {
super(Command, useCallback);
args = Args;
eval=false;
}
}
/** This class is used to execute a function in matlab and pass parameters
* and it also return arguments**/
protected class MatlabBlockingFevalCommand extends MatlabFevalCommand {
MatlabControl parent;
public MatlabBlockingFevalCommand(String Command, Object[] Args, boolean useCallback, MatlabControl parent) {
super(Command, Args, useCallback);
this.parent=parent;
}
public void run() {
try {
if(useCallback){
parent.setReturnVal(useMatlabCommandCallback(command, args));
}
else{
//parent.setReturnVal(matlab.evalConsoleOutput(command));
parent.setReturnVal(Matlab.mtFevalConsoleOutput(command, args, 0));
}
} catch (Exception e) {
// System.out.println(e.toString());
}
}
}
}

134
src/javaeva/tools/ReflectPackage.java
View File

@ -6,6 +6,7 @@ import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Comparator;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.jar.JarEntry;
@ -24,13 +25,16 @@ import java.util.jar.JarInputStream;
public class ReflectPackage {
final static boolean TRACE = false;
static int missedJarsOnClassPath = 0;
static boolean useFilteredClassPath = true;
// static boolean usePathMap = true;
static String[] dynCP = null;
// static HashMap<String, ArrayList<String>> pathMap = new HashMap<String, ArrayList<String>>();
static class ClassComparator implements Comparator {
static class ClassComparator<T> implements Comparator<T> {
public int compare(Object o1, Object o2) {
return (o1.toString().compareTo(o2.toString()));
}
}
/**
@ -40,7 +44,7 @@ public class ReflectPackage {
* @return
* @throws ClassNotFoundException
*/
public static HashSet<Class> getClassesFromFilesFltr(HashSet<Class> set, String path, String pckgname, boolean includeSubs, Class reqSuperCls) {
public static int getClassesFromFilesFltr(HashSet<Class> set, String path, String pckgname, boolean includeSubs, Class reqSuperCls) {
try {
// Get a File object for the package
File directory = null;
@ -61,27 +65,28 @@ public class ReflectPackage {
System.err.println(directory.getPath()+ " not found in " + path);
System.err.println("directory " + (directory.exists() ? "exists" : "doesnt exist"));
}
return set;
return 0;
}
if (directory.exists()) {
// Get the list of the files contained in the package
getClassesFromDirFltr(set, directory, pckgname, includeSubs, reqSuperCls);
return getClassesFromDirFltr(set, directory, pckgname, includeSubs, reqSuperCls);
} else {
if (TRACE) System.err.println(directory.getPath() + " doesnt exist in " + path + ", dir was " + dir);
return 0;
}
} catch(ClassNotFoundException e) {
System.err.println(e.getMessage());
e.printStackTrace();
return set;
return 0;
}
return set;
}
// public static ArrayList<Class> getClassesFromDir(File directory, String pckgname, boolean includeSubs) {
// return getClassesFromDirFltr(directory, pckgname, includeSubs, null);
// }
public static HashSet<Class> getClassesFromDirFltr(HashSet<Class> set, File directory, String pckgname, boolean includeSubs, Class<?> reqSuperCls) {
public static int getClassesFromDirFltr(HashSet<Class> set, File directory, String pckgname, boolean includeSubs, Class<?> reqSuperCls) {
int cntAdded = 0;
if (directory.exists()) {
// Get the list of the files contained in the package
String[] files = directory.list();
@ -93,33 +98,45 @@ public class ReflectPackage {
Class<?> cls = Class.forName(pckgname + '.' + files[i].substring(0, files[i].length() - 6));
if (reqSuperCls != null) {
if (reqSuperCls.isAssignableFrom(cls)) {
addClass(set, cls);
cntAdded += addClass(set, cls);
}
} else {
addClass(set, cls);
cntAdded += addClass(set, cls);
}
} catch (Exception e) {
System.err.println("ReflectPackage: Couldnt get Class from jar for "+pckgname+files[i]+": "+e.getMessage());
System.err.println("ReflectPackage: Couldnt get Class from jar for "+pckgname+'.'+files[i]+": "+e.getMessage());
} catch (Error e) {
System.err.println("ReflectPackage: Couldnt get Class from jar for "+pckgname+files[i]+": "+e.getMessage());
System.err.println("ReflectPackage: Couldnt get Class from jar for "+pckgname+'.'+files[i]+": "+e.getMessage());
}
} else if (includeSubs) {
// do a recursive search over subdirs
File subDir = new File(directory.getAbsolutePath()+File.separatorChar+files[i]);
if (subDir.exists() && subDir.isDirectory()) {
getClassesFromDirFltr(set, subDir, pckgname+"."+files[i], includeSubs, reqSuperCls);
cntAdded += getClassesFromDirFltr(set, subDir, pckgname+"."+files[i], includeSubs, reqSuperCls);
}
}
}
}
return set;
return cntAdded;
}
private static void addClass(HashSet<Class> set, Class cls) {
/**
* If valid classpath entries are stored but you want to reset them, use this method. The classpath
* will then be rescanned on the next request.
*/
public static void resetDynCP() {
dynCP = null;
}
private static int addClass(HashSet<Class> set, Class cls) {
if (TRACE) System.out.println("adding class " + cls.getName());
if (set.contains(cls)) {
System.err.println("warning, Class " + cls.getName() + " not added twice!");
} else set.add(cls);
return 0;
} else {
set.add(cls);
return 1;
}
}
public static ArrayList<Class> filterAssignableClasses(ArrayList<Class> classes, Class<?> reqSuperCls) {
@ -140,8 +157,9 @@ public class ReflectPackage {
* @param packageName
* @return
*/
public static HashSet<Class> getClassesFromJarFltr(HashSet<Class> set, String jarName, String packageName, boolean includeSubs, Class<?> reqSuperCls){
public static int getClassesFromJarFltr(HashSet<Class> set, String jarName, String packageName, boolean includeSubs, Class<?> reqSuperCls){
boolean isInSubPackage = true;
int cntAdded = 0;
packageName = packageName.replaceAll("\\." , "/");
if (TRACE) System.out.println("Jar " + jarName + " looking for " + packageName);
@ -168,9 +186,9 @@ public class ReflectPackage {
Class cls = Class.forName(clsName.substring(0, jarEntryName.length() - 6));
if (reqSuperCls != null) {
if (reqSuperCls.isAssignableFrom(cls)) {
addClass(set, cls);
cntAdded += addClass(set, cls);
}
} else addClass(set, cls);
} else cntAdded += addClass(set, cls);
} catch(Exception e) {
System.err.println("ReflectPackage: Couldnt get Class from jar for "+clsName+": "+e.getMessage());
} catch(Error e) {
@ -182,10 +200,14 @@ public class ReflectPackage {
}
}
} catch(IOException e) {
System.err.println("coulnt read jar: " + e.getMessage());
e.printStackTrace();
missedJarsOnClassPath++;
if (missedJarsOnClassPath == 0) {
System.err.println("Couldnt open jar from class path: " + e.getMessage());
System.err.println("Dirty class path?");
} else if (missedJarsOnClassPath == 2) System.err.println("Couldnt open jar from class path more than once...");
//e.printStackTrace();
}
return set;
return cntAdded;
}
/**
@ -211,18 +233,68 @@ public class ReflectPackage {
* @return
*/
public static Class[] getClassesInPackageFltr(HashSet<Class> set, String pckg, boolean includeSubs, boolean bSort, Class reqSuperCls) {
String classPath = System.getProperty("java.class.path",".");
if (TRACE) System.out.println("classpath is " + classPath);
String[] pathElements = classPath.split(File.pathSeparator);
String classPath = null;
if (!useFilteredClassPath || (dynCP==null)) {
classPath = System.getProperty("java.class.path",".");
if (useFilteredClassPath) {
try {
String[] pathElements = getClassPathElements();
File f;
ArrayList<String> valids = new ArrayList<String>(pathElements.length);
for (int i=0; i<pathElements.length; i++) {
if (TRACE) System.out.println("reading element "+pathElements[i]);
if (pathElements[i].endsWith(".jar")) {
getClassesFromJarFltr(set, pathElements[i], pckg, includeSubs, reqSuperCls);
// System.err.println(pathElements[i]);
f = new File(pathElements[i]);
// if (f.canRead()) {valids.add(pathElements[i]);}
if (f.exists() && f.canRead()) {
valids.add(pathElements[i]);
}
}
// dynCP = valids.toArray(dynCP); // this causes Matlab to crash meanly.
dynCP = new String[valids.size()];
for (int i=0; i<valids.size(); i++) dynCP[i] = valids.get(i);
} catch (Exception e) {
System.err.println(e.getMessage());
}
} else dynCP = getClassPathElements();
}
// dynCP = System.getProperty("java.class.path",".").split(File.pathSeparator);
if (TRACE) System.out.println("classpath is " + classPath);
// System.err.println("no of path elements is " + dynCP.length);
// if (usePathMap) {
// System.err.println("Checking for " + pckg);
// ArrayList<String> pathes = pathMap.get(pckg);
// System.err.println("stored objects: " + ((pathes != null) ? pathes.size() : 0));
// if (pathes == null) {
// pathes = new ArrayList<String>();
// for (int i=0; i<dynCP.length; i++) {
// int added = 0;
// if (dynCP[i].endsWith(".jar")) {
// added = getClassesFromJarFltr(set, dynCP[i], pckg, includeSubs, reqSuperCls);
// } else {
// added = getClassesFromFilesFltr(set, dynCP[i], pckg, includeSubs, reqSuperCls);
// }
// if (added > 0) pathes.add(dynCP[i]);
// }
// pathMap.put(pckg, pathes);
// } else {
// for (int i=0; i<pathes.size(); i++) {
// System.err.println("reusing " + pathes.get(i));
// if (pathes.get(i).endsWith(".jar")) getClassesFromJarFltr(set, pathes.get(i), pckg, includeSubs, reqSuperCls);
// else getClassesFromFilesFltr(set, pathes.get(i), pckg, includeSubs, reqSuperCls);
// }
// }
// } else {
for (int i=0; i<dynCP.length; i++) {
if (TRACE) System.out.println("reading element "+dynCP[i]);
if (dynCP[i].endsWith(".jar")) {
getClassesFromJarFltr(set, dynCP[i], pckg, includeSubs, reqSuperCls);
} else {
getClassesFromFilesFltr(set, pathElements[i], pckg, includeSubs, reqSuperCls);
if (TRACE) System.out.println("reading from files: "+dynCP[i]+" "+pckg);
getClassesFromFilesFltr(set, dynCP[i], pckg, includeSubs, reqSuperCls);
}
}
// }
Object[] clsArr = set.toArray();
if (bSort) {
Arrays.sort(clsArr, new ClassComparator());

12
src/javaeva/tools/SelectedTag.java
View File

@ -68,15 +68,21 @@ public class SelectedTag implements java.io.Serializable {
//~ Methods ////////////////////////////////////////////////////////////////
/** This gives me the chance to set the selected tag index from a java program
/**
* Set the selected tag by index.
*
* @param i The new selected tag index
*/
public void setSelectedTag(int i) {
if ((i >= 0) && (i < this.m_Tags.length)) this.m_Selected = i;
}
/** This gives me the chance to set the selected tag index from a java program
* @param i The new selected tag index
/**
* Set the selected tag by String tag name. If the given name doesnt exist, nothing
* will change and an error message will be printed to System.err. This should of course
* be avoided.
*
* @param str The new selected tag name
*/
public void setSelectedTag(String str) {
for (int i=0; i<m_Tags.length; i++) {

30
src/simpleprobs/InterfaceSimpleProblem.java Normal file
View File

@ -0,0 +1,30 @@
package simpleprobs;
/**
* A simple interface to easily include new optimization problems in Java into the
* JavaEvA framework.
*
* @author mkron
*
*/
public interface InterfaceSimpleProblem<T> {
/**
* Evaluate a double vector representing a possible problem solution as
* part of an individual in the JavaEvA framework. This makes up the
* target function to be evaluated.
*
* @param x a double vector to be evaluated
* @return the fitness vector assigned to x as to the target function
*/
public double[] eval(T x);
/**
* Return the problem dimension.
*
* @return the problem dimension
*/
public int getProblemDimension();
}

23
src/simpleprobs/SimpleB1.java Normal file
View File

@ -0,0 +1,23 @@
package simpleprobs;
import java.util.BitSet;
public class SimpleB1 extends SimpleProblemBinary {
public String globalInfo() {
return "A simple B1 implementation, minimize bits in a binary vector.";
}
public double[] eval(BitSet b) {
double[] result = new double[1];
int fitness = 0;
for (int i = 0; i < getProblemDimension(); i++) if (b.get(i)) fitness++;
result[0] = fitness;
return result;
}
public int getProblemDimension() {
return 20;
}
}

27
src/simpleprobs/SimpleF1.java Normal file
View File

@ -0,0 +1,27 @@
package simpleprobs;
public class SimpleF1 extends SimpleProblemDouble {
public String globalInfo() {
return "A simple F1 implementation, find the minimum of a hyper parabola.";
}
public double[] eval(double[] x) {
double res[] = new double[1];
// this defines the dimension of the fitness vector, which should be always the same
double sum = 0;
// calculate the fitness value
for (int i=0; i<getProblemDimension(); i++) {
sum += (x[i]*x[i]);
}
// setting the return vector and return it
res[0] = Math.sqrt(sum);
return res;
}
public int getProblemDimension() {
return 20;
}
}

10
src/simpleprobs/SimpleProblemBinary.java Normal file
View File

@ -0,0 +1,10 @@
package simpleprobs;
import java.io.Serializable;
import java.util.BitSet;
public abstract class SimpleProblemBinary implements InterfaceSimpleProblem<BitSet>, Serializable {
public String globalInfo() {
return "A simple binary problem. Override globalInfo() to insert more information.";
}
}

9
src/simpleprobs/SimpleProblemDouble.java Normal file
View File

@ -0,0 +1,9 @@
package simpleprobs;
import java.io.Serializable;
public abstract class SimpleProblemDouble implements InterfaceSimpleProblem<double[]>, Serializable {
public String globalInfo() {
return "A simple double valued problem. Override globalInfo() to insert more information.";
}
}

2
src/wsi/ra/jproxy/RemoteStateListener.java
View File

@ -23,5 +23,5 @@ public interface RemoteStateListener {
public void performedStop();
public void performedStart(String infoString);
public void performedRestart(String infoString);
public void updateProgress(final int percent);
public void updateProgress(final int percent, String msg);
}