Addition to last commit.
This commit is contained in:
Marcel Kronfeld
parent
3a18cedcc6
commit
9bae041840
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package javaeva.server.go.operators.terminators;
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import javaeva.gui.BeanInspector;
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import javaeva.server.go.IndividualInterface;
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import javaeva.server.go.InterfaceTerminator;
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import javaeva.server.go.PopulationInterface;
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import javaeva.server.go.individuals.AbstractEAIndividual;
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import javaeva.server.go.operators.distancemetric.PhenotypeMetric;
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public class PhenotypeConvergenceTerminator extends FitnessConvergenceTerminator implements InterfaceTerminator {
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AbstractEAIndividual oldIndy = null;
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double oldPhenNorm = 0;
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public PhenotypeConvergenceTerminator() {
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super();
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}
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public PhenotypeConvergenceTerminator(double thresh, int stagnTime, boolean bFitCallBased, boolean bAbsolute) {
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super(thresh, stagnTime, bFitCallBased, bAbsolute);
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}
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/**
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* Return true if |oldPhen - curPhen| < |oldPhen| * thresh% (relative case)
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* and if |oldFit - curFit| < thresh (absolute case).
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*
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* @param curFit
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* @return
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*/
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protected boolean isStillConverged(IndividualInterface indy) {
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double dist = pMetric.distance(oldIndy, (AbstractEAIndividual)indy);
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boolean ret;
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if (getConvergenceCondition().isSelectedString("Relative")) {
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ret = (dist < (oldPhenNorm * convThresh));
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} else {
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ret = (dist < convThresh);
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}
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if (TRACE) System.out.println("isStillConverged returns " + ret + ", dist " + dist + ", old indy " + BeanInspector.toString(oldIndy) + ", cur indy" + BeanInspector.toString(indy));
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return ret;
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}
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public String terminatedBecause(PopulationInterface pop) {
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if (isTerminated(pop)) {
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return getTerminationMessage("Phenotype converged");
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} else return "Not yet terminated.";
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}
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protected void saveState(PopulationInterface Pop) {
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super.saveState(Pop);
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oldIndy = (AbstractEAIndividual)((AbstractEAIndividual)Pop.getBestIndividual()).clone();
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oldPhenNorm = PhenotypeMetric.norm(oldIndy);
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}
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}
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222
src/javaeva/server/go/problems/SimpleProblemWrapper.java
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222
src/javaeva/server/go/problems/SimpleProblemWrapper.java
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package javaeva.server.go.problems;
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import java.lang.reflect.Method;
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import java.util.BitSet;
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import javaeva.gui.BeanInspector;
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import javaeva.gui.GenericObjectEditor;
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import javaeva.server.go.individuals.AbstractEAIndividual;
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import javaeva.server.go.individuals.ESIndividualDoubleData;
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import javaeva.server.go.individuals.GAIndividualBinaryData;
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import javaeva.server.go.individuals.InterfaceDataTypeBinary;
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import javaeva.server.go.individuals.InterfaceDataTypeDouble;
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import javaeva.server.go.populations.Population;
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import javaeva.server.go.strategies.InterfaceOptimizer;
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import javaeva.server.go.tools.RandomNumberGenerator;
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import simpleprobs.InterfaceSimpleProblem;
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import simpleprobs.SimpleF1;
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import simpleprobs.SimpleProblemBinary;
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import simpleprobs.SimpleProblemDouble;
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public class SimpleProblemWrapper extends AbstractOptimizationProblem {
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InterfaceSimpleProblem simProb = new SimpleF1();
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protected double m_DefaultRange = 10;
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protected double m_Noise = 0;
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public SimpleProblemWrapper() {
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initTemplate();
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}
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public SimpleProblemWrapper(SimpleProblemWrapper other) {
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other.m_DefaultRange = m_DefaultRange;
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other.m_Noise = m_Noise;
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// warning! this does no deep copy!
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other.simProb = simProb;
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}
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@Override
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public Object clone() {
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return new SimpleProblemWrapper(this);
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}
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@Override
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public void evaluate(AbstractEAIndividual individual) {
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if (simProb instanceof SimpleProblemDouble) {
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double[] x;
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double[] fitness;
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x = new double[((InterfaceDataTypeDouble) individual).getDoubleData().length];
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System.arraycopy(((InterfaceDataTypeDouble) individual).getDoubleData(), 0, x, 0, x.length);
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// evaluate the vector
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fitness = ((SimpleProblemDouble)simProb).eval(x);
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// if indicated, add Gaussian noise
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if (m_Noise != 0) RandomNumberGenerator.addNoise(fitness, m_Noise);
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// set the fitness
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individual.SetFitness(fitness);
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} else if (simProb instanceof SimpleProblemBinary) {
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BitSet tmpBitSet;
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double[] result;
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tmpBitSet = ((InterfaceDataTypeBinary) individual).getBinaryData();
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// evaluate the fitness
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result = ((SimpleProblemBinary)simProb).eval(tmpBitSet);
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// set the fitness
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individual.SetFitness(result);
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} else {
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System.err.println("Error in SimpleProblemWrapper: " + simProb.getClass().getName() + " is unknown type!");
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}
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}
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@Override
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public void initPopulation(Population population) {
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AbstractEAIndividual tmpIndy;
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population.clear();
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initTemplate();
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for (int i = 0; i < population.getPopulationSize(); i++) {
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tmpIndy = (AbstractEAIndividual)((AbstractEAIndividual)this.m_Template).clone();
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tmpIndy.init(this);
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population.add(tmpIndy);
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}
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// population init must be last
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// it set's fitcalls and generation to zero
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population.init();
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}
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@Override
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public void initProblem() {
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initTemplate();
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}
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protected void initTemplate() {
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if (simProb instanceof SimpleProblemDouble) {
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this.m_Template = new ESIndividualDoubleData();
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((ESIndividualDoubleData)this.m_Template).setDoubleDataLength(simProb.getProblemDimension());
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((ESIndividualDoubleData)this.m_Template).SetDoubleRange(makeRange());
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} else if (simProb instanceof SimpleProblemBinary) {
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this.m_Template = new GAIndividualBinaryData();
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((InterfaceDataTypeBinary)this.m_Template).setBinaryDataLength(simProb.getProblemDimension());
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}
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}
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protected double[][] makeRange() {
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double[][] range = new double[simProb.getProblemDimension()][2];
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for (int i = 0; i < range.length; i++) {
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range[i][0] = getRangeLowerBound(i);
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range[i][1] = getRangeUpperBound(i);
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}
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return range;
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}
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protected double getRangeLowerBound(int dim) {
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return -m_DefaultRange;
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}
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protected double getRangeUpperBound(int dim) {
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return m_DefaultRange;
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}
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/**
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* @return the simProb
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*/
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public InterfaceSimpleProblem getSimpleProblem() {
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return simProb;
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}
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/**
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* @param simProb the simProb to set
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*/
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public void setSimpleProblem(InterfaceSimpleProblem simProb) {
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this.simProb = simProb;
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initTemplate();
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GenericObjectEditor.setShowProperty(getClass(), "noise", (simProb instanceof SimpleProblemDouble));
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GenericObjectEditor.setShowProperty(getClass(), "defaultRange", (simProb instanceof SimpleProblemDouble));
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}
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/**
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*
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*/
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public String simpleProblemTipText() {
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return "Set the simple problem class which is to be optimized";
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}
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/** This method allows you to choose how much noise is to be added to the
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* fitness. This can be used to make the optimization problem more difficult.
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* @param noise The sigma for a gaussian random number.
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*/
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public void setNoise(double noise) {
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if (noise < 0) noise = 0;
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this.m_Noise = noise;
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}
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public double getNoise() {
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return this.m_Noise;
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}
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public String noiseTipText() {
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return "Gaussian noise level on the fitness value.";
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}
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/**
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* A (symmetric) absolute range limit.
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*
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* @return value of the absolute range limit
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*/
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public double getDefaultRange() {
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return m_DefaultRange;
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}
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/**
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* Set a (symmetric) absolute range limit.
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*
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* @param defaultRange
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*/
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public void setDefaultRange(double defaultRange) {
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this.m_DefaultRange = defaultRange;
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initTemplate();
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}
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public String defaultRangeTipText() {
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return "Absolute limit for the symmetric range in any dimension";
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}
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/**
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* Take care that all properties which may be hidden (and currently are) send a "hide" message to the Java Bean properties.
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* This is called by PropertySheetPanel in use with the GenericObjectEditor.
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*/
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public void hideHideable() {
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setSimpleProblem(getSimpleProblem());
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}
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/////////// for GUI
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/** This method returns a string describing the optimization problem.
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* @param opt The Optimizer that is used or had been used.
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* @return The description.
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*/
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public String getStringRepresentationForProblem(InterfaceOptimizer opt) {
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StringBuffer sb = new StringBuffer(200);
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sb.append("A wrapped simple problem based on ");
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sb.append(simProb.getClass().getName());
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sb.append(", Dimension : ");
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sb.append(simProb.getProblemDimension());
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return sb.toString();
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}
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/** This method allows the CommonJavaObjectEditorPanel to read the
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* name to the current object.
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* @return The name.
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*/
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public String getName() {
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return "SimpleProblemWrapper";
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}
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/** This method returns a global info string
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* @return description
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*/
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public String globalInfo() {
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Object maybeAdditionalString = BeanInspector.callIfAvailable(simProb, "globalInfo", null);
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if (maybeAdditionalString != null) {
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return "Wrapping a simple problem: " + (String)maybeAdditionalString;
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} else return "Wrapping a simple problem.";
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}
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}
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