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Killed JavaEvA from comments and ressources, some maths refactored.

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This commit is contained in:
Marcel Kronfeld 2008-04-18 14:36:52 +00:00
parent fdbfa5fe85
commit fb20da9657
173 changed files with 918 additions and 2221 deletions
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4
ant/build.xml
View File

@ -290,8 +290,8 @@
<fileset dir=".">
<include name="run.sh"/>
<include name="run.bat"/>
<include name="run_javaeva.sh"/>
<include name="run_javaeva.bat"/>
<include name="run_eva.sh"/>
<include name="run_eva.bat"/>
<include name="*.txt"/>
<include name="*.html"/>
</fileset>

16
ant/check.xml
View File

@ -1,6 +1,6 @@
<!--++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Filename: $RCSfile$
Purpose: Ant build file for JavaEvA.
Purpose: Ant build file for EvA2.
Ant-Download: http://jakarta.apache.org/ant
Ant-Manual: http://jakarta.apache.org/ant/manual/index.html
@ -18,14 +18,17 @@
Copyright (c) Dept. Computer Architecture, University of Tuebingen, Germany
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++-->
<project name="JavaEvA" default="check" basedir=".">
<project name="EvA2" default="check" basedir=".">
<!--
As there are no static libraries any more, not much remains to check... (MK)
-->
<!--++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Library check
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++-->
<target name="binary.libraries.check" >
<!--
<condition property="library.available.SNNS.windows">
<and>
<available file="${windows.libraries}/${library.SNNS}.dll" type="file" />
@ -36,7 +39,6 @@
<available file="${unix.libraries}/lib${library.SNNS}.so" type="file" />
</and>
</condition>
<!--
<condition property="library.available.WSI">
<and>
<available file="${library.WSI}" type="file" />
@ -63,11 +65,13 @@
</target>
<target name="source.libraries.check" >
<!--
<condition property="library.available.WSI">
<and>
<available file="${library.WSI.ant}/wsi" type="dir" />
</and>
</condition>
</condition>
-->
</target>
<target name="binary.libraries.test.SNNS.windows" depends="binary.libraries.check" unless="library.available.SNNS.windows">
@ -97,6 +101,8 @@
">
</target>
<target name="check" depends="binary.libraries.check, source.libraries.check">
</target>
</project>
<!--+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

2
resources/F6Problem.html
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@ -8,7 +8,7 @@
<img src="images/rastrigintex.jpg" width="500" height="101">
</center>
<p>
Rastrigin's function is symmetric. It is based on the simple <i>parabola function</i> (called f1 in the JavaEvA context), but it is multimodal because a modulation term on the basis of the cosine function is added. This evokes hills and valleys which are misleading local optima.
Rastrigin's function is symmetric. It is based on the simple <i>parabola function</i> (called f1 in the EvA context), but it is multimodal because a modulation term on the basis of the cosine function is added. This evokes hills and valleys which are misleading local optima.
<p>
Values used for the following illustrations: <i>A</i>=10, <i>&#969;</i>=2*&#960;, <i>n</i>=2.

4
resources/GO.html
View File

@ -1,9 +1,9 @@
<html>
<head>
<title>JavaEvA Genetic Optimization</title>
<title>EvA2 Genetic Optimization</title>
</head>
<body>
<h1 align="center">The JavaEvA Genetic Optimization Module</h1>
<h1 align="center">The EvA2 Genetic Optimization Module</h1>
<br>
The Genetic Optimization module allows the application of a variety of
nature-inspired heuristics within one framework. You can combine several

2
resources/GOParameters.html
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@ -1,6 +1,6 @@
<html>
<head>
<title>JavaEvA Genetic Optimization</title>
<title>EvA Genetic Optimization</title>
</head>
<body>
<h1 align="center">Genetic Optimization Parameters</h1>

2
src/eva2/OptimizerFactory.java
View File

@ -54,7 +54,7 @@ import eva2.server.modules.GOParameters;
* </p>
* <p>
* On the other hand this class provides an almost complete list of all
* currently available optimization procedures in JavaEvA. The arguments passed
* currently available optimization procedures in EvA2. The arguments passed
* to the methods initialize the respective optimization procedure. To perform
* an optimization one has to do the following: <code>
* InterfaceOptimizer optimizer = OptimizerFactory.createCertainOptimizer(arguments);

2
src/eva2/gui/BeanInspector.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

9
src/eva2/gui/BigStringEditor.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture
@ -37,9 +37,7 @@ public class BigStringEditor implements PropertyEditor {
try {
m_finished=false;
BigStringEditor editor = new BigStringEditor();
//Source so = new Source ("\\javaeva\\server\\problems\\bench\\Problem_f1.java");
// Source so = new Source (file);
// editor.setValue(so);
PropertyDialog frame = new PropertyDialog(editor,file, 50, 50);
//frame.setSize(200, 200);
frame.addWindowListener(new WindowAdapter() {
@ -189,8 +187,7 @@ public class BigStringEditor implements PropertyEditor {
public static void main (String[] args) {
try {
BigStringEditor editor = new BigStringEditor();
// Source so = new Source ("\\javaeva\\server\\problems\\bench\\Problem_f1.java");
// editor.setValue(so);
PropertyDialog frame = new PropertyDialog(editor, "test", 50, 50);
frame.setSize(200, 200);
frame.addWindowListener(new WindowAdapter() {

2
src/eva2/gui/ComponentFilter.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/DataViewer.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/DataViewerInterface.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/Exp.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/ExtAction.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/ExtActionChangedListener.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/ExtDesktopManager.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/FunctionArea.java
View File

@ -1,7 +1,7 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/GenericArrayEditor.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/GenericObjectEditor.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/Graph.java
View File

@ -3,7 +3,7 @@ package eva2.gui;
import java.io.Serializable;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/GraphPointSet.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/GraphWindow.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/HtmlDemo.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JClassTree.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JDocFrame.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

11
src/eva2/gui/JEFrame.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture
@ -17,15 +17,6 @@ import java.awt.event.WindowEvent;
import java.awt.event.*;
import java.awt.*;
/**
* Title: The JavaEvA
* Description:
* Copyright: Copyright (c) 2003
* Company:
* @author
* @version 1.0
*/
public class JEFrame extends JFrame {
public JEFrame() {

2
src/eva2/gui/JEFrameRegister.java
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@ -1,7 +1,7 @@
package eva2.gui;
import java.util.ArrayList;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JExtDesktopPane.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JExtFileChooser.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JExtMenu.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JExtToolBar.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JModuleGeneralPanel.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JParaPanel.java
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@ -1,7 +1,7 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JTabbedModuleFrame.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JTextEditorInternalFrame.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JTextoutputFrame.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/JTextoutputFrameInterface.java
View File

@ -3,7 +3,7 @@ package eva2.gui;
import eva2.server.stat.InterfaceTextListener;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

3
src/eva2/gui/LogPanel.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture
@ -112,7 +112,6 @@ public class LogPanel extends JPanel {
frame.pack();
frame.setVisible(true);
panel.logMessage("HI!");
// panel.statusMessage("Hi JavaEvA");
panel.logMessage("Test");
} catch (Exception e) {

4
src/eva2/gui/MultiLineString.java
View File

@ -1,10 +1,6 @@
package eva2.gui;
/**
* <p>Title: The JavaEvA</p>
* <p>Description: </p>
* <p>Copyright: Copyright (c) 2003</p>
* <p>Company: </p>
* @author not attributable
* @version 1.0
*/

2
src/eva2/gui/MultiLineStringEditor.java
View File

@ -6,7 +6,7 @@ import java.awt.event.*;
/**
* <p>Title: The JavaEvA</p>
* <p>Title: EvA2</p>
* <p>Description: </p>
* <p>Copyright: Copyright (c) 2003</p>
* <p>Company: </p>

2
src/eva2/gui/Plot.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/PlotInterface.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/PropertyBoolSelector.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/PropertyDialog.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/PropertyPanel.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

1
src/eva2/gui/PropertyRemoteServers.java
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@ -1,6 +1,5 @@
package eva2.gui;
//import javaeva.tools.ServerStarter;
import java.rmi.Naming;
import java.util.ArrayList;

2
src/eva2/gui/PropertySheetPanel.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/PropertySheetPanelStat.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/PropertySlider.java
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@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/PropertyText.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/PropertyValueSelector.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/SerializedObject.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/StatisticsEditor.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/TagEditor.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/TopoPlot.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/gui/TreeElement.java
View File

@ -1,6 +1,6 @@
package eva2.gui;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

67
src/eva2/gui/WindowCloseAction.java
View File

@ -1,67 +0,0 @@
package eva2.gui;
//package javaeva.gui;
///*==========================================================================*
// * IMPORTS
// *==========================================================================*/
//import javaeva.client.EvAClient;
//import javax.swing.event.InternalFrameListener;
//import javax.swing.event.InternalFrameEvent;
//import javax.swing.JOptionPane;
//import java.awt.event.ActionEvent;
///*==========================================================================*
//* CLASS DECLARATION
//*==========================================================================*/
///**
// *
// */
//public class WindowCloseAction extends ExtAction implements InternalFrameListener{
// private EvAClient m_App;
// /**
// *
// */
// public WindowCloseAction(String s,String toolTip,EvAClient App){
// super(s, toolTip);
// m_App = App;
// }
// /**
// *
// */
// private void close(JDocFrame f){
// if(f == null) return;
// boolean doClose = false;
// if(f.isChanged()){
// switch(JOptionPane.showConfirmDialog(m_App.getDesktop(), "M<EFBFBD>chten Sie die <20>nderungen an "
// + f.getTitle() + " speichern?", "Frage", JOptionPane.YES_NO_CANCEL_OPTION)){
// case JOptionPane.YES_OPTION:
// System.out.println(f.getTitle() + " geschlossen, <20>nderungen gespeichert.");
// doClose = true;
// break;
// case JOptionPane.NO_OPTION:
// doClose = true;
// break;
// case JOptionPane.CANCEL_OPTION:;
// }
// }
// else
// doClose = true;
// if(doClose) f.dispose();
// }
// /**
// *
// */
// public void actionPerformed(ActionEvent e){
// close((JDocFrame)((ExtDesktopManager)m_App.getDesktop().getDesktopManager()).getActiveFrame());
// }
// public void internalFrameOpened(InternalFrameEvent e){}
// public void internalFrameClosed(InternalFrameEvent e){}
// public void internalFrameIconified(InternalFrameEvent e){}
// public void internalFrameDeiconified(InternalFrameEvent e){}
// public void internalFrameActivated(InternalFrameEvent e){}
// public void internalFrameDeactivated(InternalFrameEvent e){}
// /**
// *
// */
// public void internalFrameClosing(InternalFrameEvent e){
// close((JDocFrame)e.getSource());
// }
//}

2
src/eva2/server/EvAMainAdapter.java
View File

@ -1,6 +1,6 @@
package eva2.server;
/**
* Title: javaeva
* Title: EvA2
* Description: API for distributed and parallel computing.
* Copyright: Copyright (c) 2004
* Company: University of Tuebingen

2
src/eva2/server/EvAServer.java
View File

@ -1,6 +1,6 @@
package eva2.server;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/server/ModuleServer.java
View File

@ -1,7 +1,7 @@
package eva2.server;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/server/go/CrossoverInterface.java
View File

@ -1,6 +1,6 @@
package eva2.server.go;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/server/go/IndividualInterface.java
View File

@ -1,6 +1,6 @@
package eva2.server.go;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/server/go/InterfaceProcessor.java
View File

@ -3,7 +3,7 @@ package eva2.server.go;
import wsi.ra.jproxy.RemoteStateListener;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

2
src/eva2/server/go/InterfaceTerminator.java
View File

@ -1,6 +1,6 @@
package eva2.server.go;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

24
src/eva2/server/go/MutationInterface.java
View File

@ -1,24 +0,0 @@
package eva2.server.go;
/*
* Title: JavaEvA
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture
* @author Holger Ulmer, Felix Streichert, Hannes Planatscher
* @version: $Revision: 306 $
* $Date: 2007-12-04 14:22:52 +0100 (Tue, 04 Dec 2007) $
* $Author: mkron $
*/
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import eva2.server.stat.InterfaceStatistics;
/*==========================================================================*
* INTERFACE DECLARATION
*==========================================================================*/
/**
*
*/
public interface MutationInterface {
public void addStatisticsListner(InterfaceStatistics e);
}

2
src/eva2/server/go/PopulationInterface.java
View File

@ -1,7 +1,7 @@
package eva2.server.go;
/*
* Title: JavaEvA
* Title: EvA2
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture

24
src/eva2/server/go/SelectionInterface.java
View File

@ -1,24 +0,0 @@
package eva2.server.go;
/*
* Title: JavaEvA
* Description:
* Copyright: Copyright (c) 2003
* Company: University of Tuebingen, Computer Architecture
* @author Holger Ulmer, Felix Streichert, Hannes Planatscher
* @version: $Revision: 306 $
* $Date: 2007-12-04 14:22:52 +0100 (Tue, 04 Dec 2007) $
* $Author: mkron $
*/
/*==========================================================================*
* IMPORTS
*==========================================================================*/
import eva2.server.stat.InterfaceStatistics;
/*==========================================================================*
* INTERFACE DECLARATION
*==========================================================================*/
/**
*
*/
public interface SelectionInterface {
public void addListener(InterfaceStatistics e);
}

20
src/eva2/server/go/individuals/AbstractEAIndividual.java
View File

@ -17,6 +17,7 @@ import eva2.server.go.operators.mutation.InterfaceMutation;
import eva2.server.go.operators.mutation.NoMutation;
import eva2.server.go.populations.Population;
import eva2.server.go.problems.InterfaceOptimizationProblem;
import eva2.tools.EVAERROR;
/** This is the abstract EA individual implementing the most important methods giving
* access to mutation and crossover rates and operators, fitness values and selection
@ -824,6 +825,25 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
return getDefaultStringRepresentation(this);
}
/**
* For any AbstractEAIndividual try to convert its position to double[] and return it.
*
* @param indy
* @return double valued position of an individual
*/
public static double[] getDoublePosition(AbstractEAIndividual indy) {
if (indy instanceof InterfaceDataTypeDouble) {
return ((InterfaceDataTypeDouble)indy).getDoubleData();
} else if (indy instanceof InterfaceDataTypeInteger) {
int[] intData = ((InterfaceDataTypeInteger)indy).getIntegerData();
double[] pos = new double[intData.length];
for (int i=0; i<intData.length; i++) pos[i] = (double)intData[i];
return pos;
} // TODO some more here?
EVAERROR.errorMsgOnce("Unhandled case in AbstractEAIndividual.getPosition()!");
return null;
}
/**********************************************************************************************************************
* Implementing the Individual Interface
*/

1
src/eva2/server/go/individuals/ESIndividualDoubleData.java
View File

@ -62,7 +62,6 @@ public class ESIndividualDoubleData extends AbstractEAIndividual implements Inte
this.m_Fitness[i] = individual.m_Fitness[i];
}
cloneAEAObjects((AbstractEAIndividual) individual);
}
public Object clone() {

2
src/eva2/server/go/individuals/InterfaceDataTypePermutation.java
View File

@ -4,7 +4,7 @@ package eva2.server.go.individuals;
/** This interface gives access to a permutation phenotype and except
* for problemspecific operators should only be used by the
* optimization problem.
* <p>Title: The JavaEvA</p>
* <p>Title: EvA2</p>
*
* <p>Description: </p>
*

2
src/eva2/server/go/individuals/InterfaceOBGAIndividual.java
View File

@ -2,7 +2,7 @@ package eva2.server.go.individuals;
/** This interface gives access to a permutation genotype and should
* only be used by mutation and crossover operators.
* <p>Title: The JavaEvA</p>
* <p>Title: EvA2</p>
* <p>Description: </p>
* <p>Copyright: Copyright (c) 2003</p>
* <p>Company: </p>

2
src/eva2/server/go/individuals/OBGAIndividualPermutationData.java
View File

@ -11,7 +11,7 @@ import wsi.ra.math.RNG;
/** This individual uses a permutation based genotype to code for
* permutations.
* <p>Title: The JavaEvA</p>
* <p>Title: EvA2</p>
* <p>Description: </p>
* <p>Copyright: Copyright (c) 2003</p>
* <p>Company: </p>

4
src/eva2/server/go/mocco/MOCCOPhase.java
View File

@ -104,7 +104,7 @@ public abstract class MOCCOPhase implements InterfaceProcessElement {
}
}
/** This method makes a helptext element similar to that used in JavaEvA
/** This method makes a helptext element similar to that used in EvA
* @param help The text to display
* @return the helptext component
*/
@ -112,7 +112,7 @@ public abstract class MOCCOPhase implements InterfaceProcessElement {
return this.makeInformationText("Info", help);
}
/** This method makes a helptext element similar to that used in JavaEvA
/** This method makes a helptext element similar to that used in EvA
* @param title The title of the help text
* @param help The text to display
* @return the helptext component

1
src/eva2/server/go/mocco/MOCCOProblemInitialization.java
View File

@ -56,7 +56,6 @@ public class MOCCOProblemInitialization extends MOCCOPhase implements InterfaceP
JComponent tmpC = new JPanel();
tmpC.setLayout(new BorderLayout());
// this.m_ProblemChooser.setModel(new DefaultComboBoxModel(this.getClassAlternatives4("javaeva.server.oa.go.OptimizationProblems.InterfaceMultiObjectiveDeNovoProblem")));
Class[] altern = null;
try {
altern = ReflectPackage.getAssignableClassesInPackage("eva2.server.oa.go.OptimizationProblems", Class.forName("eva2.server.oa.go.OptimizationProblems.InterfaceMultiObjectiveDeNovoProblem"), true, true);

2
src/eva2/server/go/operators/archiving/ArchivingNSGAII.java
View File

@ -100,7 +100,7 @@ public class ArchivingNSGAII extends ArchivingNSGA implements java.io.Serializab
pop.SetArchive(archive);
}
/** This method will dissect a given populaiton into n pareto-fronts
/** This method will dissect a given population into n pareto-fronts
* @param pop The population to analyse
* @return Population[] the n pareto-fronts
*/

2
src/eva2/server/go/operators/archiving/ArchivingSPEAII.java
View File

@ -116,7 +116,7 @@ public class ArchivingSPEAII extends AbstractArchiving implements java.io.Serial
// this.tz = true;
// this.calculateRawFitness(tmpPop);
// this.tz = false;
// this.m_Plot = new javaeva.gui.Plot("Debug SPEAII", "Y1", "Y2");
// this.m_Plot = new eva2.gui.Plot("Debug SPEAII", "Y1", "Y2");
// // plot the population
// this.m_Plot.setUnconnectedPoint(0, 0, 11);
// this.m_Plot.setUnconnectedPoint(1.2, 2.0, 11);

2
src/eva2/server/go/operators/cluster/ClusteringDensityBased.java
View File

@ -87,7 +87,7 @@ public class ClusteringDensityBased implements InterfaceClustering, java.io.Seri
ConnectionMatrix = new boolean[pop.size()][pop.size()];
Clustered = new boolean[pop.size()];
AbstractEAIndividual tmpIndy1, tmpIndy2;
Population PopulationOfUnclustered = new Population(), Cluster, template;
Population PopulationOfUnclustered, Cluster, template;
ArrayList<Population> ClusteredPopulations = new ArrayList<Population>();
template = (Population)pop.clone();

15
src/eva2/server/go/operators/cluster/ClusteringKMeans.java
View File

@ -202,19 +202,24 @@ public class ClusteringKMeans implements InterfaceClustering, java.io.Serializab
return result;
}
/** This mehtod allows you to cluster a population using m_C
/** This method allows you to cluster a population using m_C
* @param pop The population
* @param c The centroids
* @return The clusters as populaitons
* @return The clusters as populations
*/
public Population[] cluster(Population pop, double[][] c) {
Population[] result = new Population[c.length];
double[][] data = this.extractClusterDataFrom(pop);
int clusterAssigned;
for (int i = 0; i < result.length; i++) {
result[i] = new Population();
result[i].setSameParams(pop);
try {
for (int i = 0; i < result.length; i++) {
result[i] = pop.getClass().newInstance();
result[i].setSameParams(pop);
}
} catch(Exception e) {
System.err.println("problems instantiating " + pop.getClass().getName() + " for clustering!");
e.printStackTrace();
}
// let's assign the elements of the population to a c
for (int i = 0; i < data.length; i++) {

2
src/eva2/server/go/operators/cluster/ClusteringXMeans.java
View File

@ -246,7 +246,7 @@ public class ClusteringXMeans implements InterfaceClustering, java.io.Serializab
/** This mehtod allows you to cluster a population using m_C
* @param pop The population
* @param c The centroids
* @return The clusters as populaitons
* @return The clusters as populations
*/
public Population[] cluster(Population pop, double[][] c) {
Population[] result = new Population[c.length];

6
src/eva2/server/go/operators/cluster/InterfaceClustering.java
View File

@ -22,10 +22,14 @@ public interface InterfaceClustering {
*/
public Object clone();
/** This method allows you to search for clusters in a given population. The method
/**
* This method allows you to search for clusters in a given population. The method
* returns Number of populations. The first population contains all individuals that
* could not be associated with any cluster and may be empty.
* All other populations group individuals into clusters.
* It should make sure that the returned Population instances are of the same type
* as the given one, which may be a subclass of Population.
*
* @param pop The population of individuals that is to be clustered.
* @return Population[]
*/

25
src/eva2/server/go/operators/crossover/CrossoverEAMixer.java
View File

@ -55,31 +55,6 @@ public class CrossoverEAMixer implements InterfaceCrossover, java.io.Serializabl
this.m_Tau1 = mutator.m_Tau1;
this.m_LowerLimitChance = mutator.m_LowerLimitChance;
}
//
// private Vector getClassesFromProperties(String mySelf, String myInterface) {
// Vector classes = new Vector();
// String typeOptions = EvAClient.getProperty(myInterface);
// if (typeOptions == null) {
// System.out.println("Warning: No configuration property found in: " +EvAClient.EVA_PROPERTY_FILE + " "+"for javaeva.server.oa.go.Operators.Mutation.InterfaceMutation");
// } else {
// StringTokenizer st = new StringTokenizer(typeOptions, ", ");
// while (st.hasMoreTokens()) {
// String current = st.nextToken().trim();
// if (!current.equalsIgnoreCase(mySelf)) {
// try {
// Class c = Class.forName(current);
// classes.addElement(current);
// } catch (Exception ex) {
// System.out.println("Couldn't load class with name: " + current);
// System.out.println("ex:"+ex.getMessage());
// ex.printStackTrace();
// }
// }
// }
// }
// return classes;
// }
/** This method will enable you to clone a given mutation operator
* @return The clone

18
src/eva2/server/go/operators/crossover/CrossoverESPCX.java
View File

@ -78,7 +78,7 @@ public class CrossoverESPCX implements InterfaceCrossover, java.io.Serializable
subSpace = this.getCoordinates(g, i, parents);
// Plot plot = new javaeva.gui.Plot("SBX Test", "x", "y", true);
// Plot plot = new eva2.gui.Plot("SBX Test", "x", "y", true);
// plot.setUnconnectedPoint(-2, -2, 0);
// plot.setUnconnectedPoint(2, 2, 0);
// for (int z = 0; z < parents.length; z++) {
@ -104,7 +104,7 @@ public class CrossoverESPCX implements InterfaceCrossover, java.io.Serializable
for (int j = 1; j < subSpace.size(); j++) {
tmpD = (double[])subSpace.get(j);
w = RNG.gaussianDouble(this.m_Zeta);
children[i] = Mathematics.vvAdd(children[i], Mathematics.scalarMultVector(w, tmpD));
children[i] = Mathematics.vvAdd(children[i], Mathematics.svMult(w, tmpD));
}
}
@ -122,19 +122,19 @@ public class CrossoverESPCX implements InterfaceCrossover, java.io.Serializable
double[] tmpVec, toro;
double tmpD;
tmpVec = Mathematics.subVector(parents[index], mean);
tmpVec = Mathematics.vvSub(parents[index], mean);
result.add(tmpVec);
for (int i = 0; i < parents.length; i++) {
if (i != index) {
tmpVec = Mathematics.subVector(parents[i], mean);
tmpVec = Mathematics.vvSub(parents[i], mean);
if (this.isValidVec(tmpVec)) {
// apply the infamous Gram-Schmidt
for (int j = 0; j < result.size(); j++) {
toro = (double[]) result.get(j);
tmpD = Mathematics.vvMult(toro, tmpVec)/Mathematics.vvMult(toro, toro);
toro = Mathematics.scalarMultVector(tmpD, toro);
tmpVec = Mathematics.subVector(tmpVec, toro);
toro = Mathematics.svMult(tmpD, toro);
tmpVec = Mathematics.vvSub(tmpVec, toro);
}
if (this.isValidVec(tmpVec)) result.add(tmpVec);
}
@ -145,15 +145,15 @@ public class CrossoverESPCX implements InterfaceCrossover, java.io.Serializable
double tmpMean;
for (int i = 1; i < result.size(); i++) {
toro = (double[]) result.get(i);
toro = Mathematics.getNormalizedVector(toro);
Mathematics.normVect(toro, toro);
tmpMean = 0;
for (int j = 0; j < parents.length; j++) {
if (j != index) {
tmpMean += Math.abs(Mathematics.vvMult(toro, Mathematics.subVector(parents[j], mean)));
tmpMean += Math.abs(Mathematics.vvMult(toro, Mathematics.vvSub(parents[j], mean)));
}
}
tmpMean = tmpMean/((double)(result.size()-1));
toro = Mathematics.scalarMultVector(tmpMean, toro);
toro = Mathematics.svMult(tmpMean, toro);
result.set(i, toro);
}

8
src/eva2/server/go/operators/crossover/CrossoverESSPX.java
View File

@ -72,18 +72,18 @@ public class CrossoverESSPX implements InterfaceCrossover, java.io.Serializable
// calculate the Y vectors
for (int i = 0; i < parents.length; i++) {
Y[i] = Mathematics.vvAdd(g, Mathematics.scalarMultVector(this.m_Epsilon, Mathematics.subVector(parents[i], g)));
Y[i] = Mathematics.vvAdd(g, Mathematics.svMult(this.m_Epsilon, Mathematics.vvSub(parents[i], g)));
}
// now for each child the C vectors and the result
for (int i = 0; i < children.length; i++) {
C = new double[Y.length][];
C[0] = Mathematics.nullVector(parents[0].length);
C[0] = Mathematics.zeroes(parents[0].length);
for (int j = 1; j < Y.length; j++) {
r = Math.pow(RNG.randomDouble(0, 1), 1/((double)j));
C[j] = Mathematics.vvAdd(Y[j-1], C[j-1]);
C[j] = Mathematics.subVector(C[j], Y[j]);
C[j] = Mathematics.scalarMultVector(r, C[j]);
C[j] = Mathematics.vvSub(C[j], Y[j]);
C[j] = Mathematics.svMult(r, C[j]);
//C[j] = this.scalarMultVector(r, this.subVector(Y[j-1], this.addVector(Y[j], C[j-1])));
}
// now the children results from

18
src/eva2/server/go/operators/crossover/CrossoverESUNDX.java
View File

@ -85,13 +85,13 @@ public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable
for (int j = 0; j < givenCoordinates.size(); j++) {
tmpD = (double[])givenCoordinates.get(j);
w = RNG.gaussianDouble(this.m_Zeta);
children[i] = Mathematics.vvAdd(children[i], Mathematics.scalarMultVector(w, tmpD));
children[i] = Mathematics.vvAdd(children[i], Mathematics.svMult(w, tmpD));
}
// now the missing stuff
for (int j = 0; j < missingCorrdinates.size(); j++) {
tmpD = (double[])missingCorrdinates.get(j);
w = RNG.gaussianDouble(this.m_Eta);
children[i] = Mathematics.vvAdd(children[i], Mathematics.scalarMultVector(w, tmpD));
children[i] = Mathematics.vvAdd(children[i], Mathematics.svMult(w, tmpD));
}
}
@ -110,7 +110,7 @@ public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable
double tmpD;
for (int i = 0; i < parents.length; i++) {
tmpVec = Mathematics.subVector(parents[i], mean);
tmpVec = Mathematics.vvSub(parents[i], mean);
if (Mathematics.isValidVec(tmpVec)) {
if (result.size() == 0) {
result.add(tmpVec);
@ -119,8 +119,8 @@ public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable
for (int j = 0; j < result.size(); j++) {
toro = (double[]) result.get(j);
tmpD = Mathematics.vvMult(toro, tmpVec)/Mathematics.vvMult(toro, toro);
toro = Mathematics.scalarMultVector(tmpD, toro);
tmpVec = Mathematics.subVector(tmpVec, toro);
toro = Mathematics.svMult(tmpD, toro);
tmpVec = Mathematics.vvSub(tmpVec, toro);
}
if (Mathematics.isValidVec(tmpVec)) result.add(tmpVec);
}
@ -145,12 +145,12 @@ public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable
for (int j = 0; j < completeList.size(); j++) {
toro = (double[]) completeList.get(j);
tmpD = Mathematics.vvMult(toro, tmpVec)/Mathematics.vvMult(toro, toro);
toro = Mathematics.scalarMultVector(tmpD, toro);
tmpVec = Mathematics.subVector(tmpVec, toro);
toro = Mathematics.svMult(tmpD, toro);
tmpVec = Mathematics.vvSub(tmpVec, toro);
}
if (Mathematics.isValidVec(tmpVec)) {
tmpVec = Mathematics.getNormalizedVector(tmpVec);
tmpVec = Mathematics.scalarMultVector(Mathematics.vvMult(theOther, tmpVec), tmpVec);
Mathematics.normVect(tmpVec, tmpVec);
tmpVec = Mathematics.svMult(Mathematics.vvMult(theOther, tmpVec), tmpVec);
result.add(tmpVec);
completeList.add(tmpVec);
}

2
src/eva2/server/go/operators/crossover/CrossoverOBGAPMX.java
View File

@ -9,7 +9,7 @@ import eva2.server.go.problems.InterfaceOptimizationProblem;
import wsi.ra.math.RNG;
/**
* <p>Title: The JavaEvA</p>
* <p>Title: EvA2</p>
* <p>Description: PMX-Crossover as defined in http://www.cs.rit.edu/usr/local/pub/pga/Genetic/Slides_etc/ga_5_og.pdf</p>
* <p>Copyright: Copyright (c) 2003</p>
* <p>Company: </p>

2
src/eva2/server/go/operators/crossover/CrossoverOBGAPMXUniform.java
View File

@ -8,7 +8,7 @@ import eva2.server.go.problems.InterfaceOptimizationProblem;
import wsi.ra.math.RNG;
/**
* <p>Title: The JavaEvA</p>
* <p>Title: EvA2</p>
* <p>Description: PMX-Crossover as defined in http://www.cs.rit.edu/usr/local/pub/pga/Genetic/Slides_etc/ga_5_og.pdf</p>
* <p>Copyright: Copyright (c) 2003</p>
* <p>Company: </p>

2
src/eva2/server/go/operators/migration/MOClusteringSeparation.java
View File

@ -106,7 +106,7 @@ public class MOClusteringSeparation implements InterfaceMigration, java.io.Seria
// double[] tmpD = new double[2];
// tmpD[0] = 0;
// tmpD[1] = 0;
// plot = new javaeva.gui.Plot("Debugging Clustering Separation", "Y1", "Y2", tmpD, tmpD);
// plot = new eva2.gui.Plot("Debugging Clustering Separation", "Y1", "Y2", tmpD, tmpD);
// GraphPointSet mySet;
// DPoint myPoint;
// Chart2DDPointIconText tmp;

2
src/eva2/server/go/operators/migration/MOConeSeparation.java
View File

@ -137,7 +137,7 @@ public class MOConeSeparation implements InterfaceMigration, java.io.Serializabl
// double[] tmpD = new double[2];
// tmpD[0] = 0;
// tmpD[1] = 0;
// plot = new javaeva.gui.Plot("Debugging Cone Separation", "Y1", "Y2", tmpD, tmpD);
// plot = new eva2.gui.Plot("Debugging Cone Separation", "Y1", "Y2", tmpD, tmpD);
// GraphPointSet mySet;
// DPoint myPoint;
// Chart2DDPointIconText tmp;

2
src/eva2/server/go/operators/migration/MOXMeansSeparation.java
View File

@ -101,7 +101,7 @@ public class MOXMeansSeparation implements InterfaceMigration, java.io.Serializa
// double[] tmpD = new double[2];
// tmpD[0] = 0;
// tmpD[1] = 0;
// plot = new javaeva.gui.Plot("Debugging Clustering Separation", "Y1", "Y2", tmpD, tmpD);
// plot = new eva2.gui.Plot("Debugging Clustering Separation", "Y1", "Y2", tmpD, tmpD);
// GraphPointSet mySet;
// DPoint myPoint;
// Chart2DDPointIconText tmp;

2
src/eva2/server/go/operators/moso/MOSOMaxiMin.java
View File

@ -73,7 +73,7 @@ public class MOSOMaxiMin implements InterfaceMOSOConverter, java.io.Serializable
}
////////////////////////////////////////////////////////////////////////////////////
// if (false) {
// this.m_Plot = new javaeva.gui.Plot("Debug MaxiMin", "Y1", "Y2");
// this.m_Plot = new eva2.gui.Plot("Debug MaxiMin", "Y1", "Y2");
// this.m_Plot.setUnconnectedPoint(0, 0, 11);
// this.m_Plot.setUnconnectedPoint(1.2, 2.0, 11);
// double[][] trueFitness, moFitness;

2
src/eva2/server/go/operators/moso/MOSOUtilityFunction.java
View File

@ -14,10 +14,8 @@ import eva2.server.go.populations.Population;
public class MOSOUtilityFunction implements InterfaceMOSOConverter, java.io.Serializable {
private int m_OutputDimension = 2;
//private Source m_Source = new Source ("\\src\\javaeva\\server\\oa\\go\\Operators\\MOSOConverter\\MOSOUtilityFunction.java");
public MOSOUtilityFunction () {
// m_Source = new Source ("\\src\\javaeva\\server\\oa\\go\\Operators\\MOSOConverter\\MOSOUtilityFunction.java");
}
public MOSOUtilityFunction(MOSOUtilityFunction b) {
System.out.println("Warning no source!");

25
src/eva2/server/go/operators/mutation/MutateEAMixer.java
View File

@ -55,31 +55,6 @@ public class MutateEAMixer implements InterfaceMutation, java.io.Serializable {
this.m_Tau1 = mutator.m_Tau1;
this.m_LowerLimitChance = mutator.m_LowerLimitChance;
}
//
// private Vector getClassesFromProperties(String mySelf, String myInterface) {
// Vector classes = new Vector();
// String typeOptions = EvAClient.getProperty(myInterface);
// if (typeOptions == null) {
// System.out.println("Warning: No configuration property found in: " +EvAClient.EVA_PROPERTY_FILE + " "+"for javaeva.server.oa.go.Operators.Mutation.InterfaceMutation");
// } else {
// StringTokenizer st = new StringTokenizer(typeOptions, ", ");
// while (st.hasMoreTokens()) {
// String current = st.nextToken().trim();
// if (!current.equalsIgnoreCase(mySelf)) {
// try {
// Class c = Class.forName(current);
// classes.addElement(current);
// } catch (Exception ex) {
// System.out.println("Couldn't load class with name: " + current);
// System.out.println("ex:"+ex.getMessage());
// ex.printStackTrace();
// }
// }
// }
// }
// return classes;
// }
/** This method will enable you to clone a given mutation operator
* @return The clone

2
src/eva2/server/go/operators/mutation/MutateESDefault.java
View File

@ -80,6 +80,6 @@ public class MutateESDefault implements InterfaceMutation, java.io.Serializable
* @return description
*/
public String globalInfo() {
return "The default mutation alters one element of the double attributes.";
return "The default mutation just uses the default method implemented in the individual.";
}
}

5
src/eva2/server/go/operators/mutation/MutateESStandard.java
View File

@ -15,7 +15,7 @@ import wsi.ra.math.RNG;
* To change this template use Options | File Templates.
*/
public class MutateESStandard implements InterfaceMutation, java.io.Serializable {
private double m_MutationStepSize = 0.1;
protected double m_MutationStepSize = 0.1;
public MutateESStandard() {
}
@ -102,13 +102,14 @@ public class MutateESStandard implements InterfaceMutation, java.io.Serializable
* @return description
*/
public String globalInfo() {
return "The standart mutation alters all elements of the double attributes with a fixed mutation step size.";
return "The standard mutation alters all elements of the double attributes with a fixed mutation step size.";
}
/** This method allows you to set the fixed mutation step size
* @param step The new mutation step size
*/
public void setMutationStepSize(double step) {
if (step < 0) step = 0.0000001;
this.m_MutationStepSize = step;
}
public double getMutationStepSize() {

69
src/eva2/server/go/operators/mutation/MutateESSuccessRule.java
View File

@ -7,24 +7,25 @@ import eva2.server.go.problems.InterfaceOptimizationProblem;
import wsi.ra.math.RNG;
/**
* Created by IntelliJ IDEA.
* Success rule implementation.
*
* User: streiche
* Date: 10.05.2005
* Time: 14:11:49
* To change this template use File | Settings | File Templates.
*/
public class MutateESSuccessRule implements InterfaceMutation, java.io.Serializable {
public class MutateESSuccessRule extends MutateESStandard implements InterfaceMutation, java.io.Serializable {
/*
* This is a bit of a cheat as the implementation does only hold some
* more parameters while the ES strategy really acts on it.
*/
// it would be quite nice to make this variable static, but in that case
// no one could runs n independent ES runs in parallel anymore *sigh*
// protected static double m_MutationStepSize = 0.2;
protected double m_MutationStepSize = 0.2;
// protected double m_MutationStepSize = 0.2; // now in base class
protected double m_SuccessRate = 0.2;
protected double m_Alpha = 1.2;
public MutateESSuccessRule() {
}
public MutateESSuccessRule(MutateESSuccessRule mutator) {
this.m_MutationStepSize = mutator.m_MutationStepSize;
this.m_SuccessRate = mutator.m_SuccessRate;
@ -38,7 +39,7 @@ public class MutateESSuccessRule implements InterfaceMutation, java.io.Serializa
return new MutateESSuccessRule(this);
}
/** This method allows you to evaluate wether two mutation operators
/** This method allows you to evaluate whether two mutation operators
* are actually the same.
* @param mutator The other mutation operator
*/
@ -51,44 +52,6 @@ public class MutateESSuccessRule implements InterfaceMutation, java.io.Serializa
return true;
} else return false;
}
/** This method allows you to init the mutation operator
* @param individual The individual that will be mutated.
* @param opt The optimization problem.
*/
public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
}
/** This method will mutate a given AbstractEAIndividual. If the individual
* doesn't implement InterfaceGAIndividual nothing happens.
* @param individual The individual that is to be mutated
*/
public void mutate(AbstractEAIndividual individual) {
//System.out.println("Before Mutate: " +((GAIndividual)individual).getSolutionRepresentationFor());
if (individual instanceof InterfaceESIndividual) {
double[] x = ((InterfaceESIndividual)individual).getDGenotype();
double[][] range = ((InterfaceESIndividual)individual).getDoubleRange();
for (int i = 0; i < x.length; i++) {
x[i] += ((range[i][1] -range[i][0])/2)*RNG.gaussianDouble(this.m_MutationStepSize);
if (range[i][0] > x[i]) x[i] = range[i][0];
if (range[i][1] < x[i]) x[i] = range[i][1];
}
((InterfaceESIndividual)individual).SetDGenotype(x);
}
//System.out.println("After Mutate: " +((GAIndividual)individual).getSolutionRepresentationFor());
}
/** This method allows you to perform either crossover on the strategy parameters
* or to deal in some other way with the crossover event.
* @param indy1 The original mother
* @param partners The original partners
*/
public void crossoverOnStrategyParameters(AbstractEAIndividual indy1, Population partners) {
// nothing to do here
}
/** This method allows you to get a string representation of the mutation
* operator
* @return A descriptive string.
@ -122,20 +85,10 @@ public class MutateESSuccessRule implements InterfaceMutation, java.io.Serializa
* @return description
*/
public String globalInfo() {
return "The 1/5 success rule is something special and works only together with an ES optimizer.";
return "The 1/5 success rule works only together with an ES optimizer.";
}
/** Set the initial mutation step size with this method.
* @param d The mutation operator.
*/
public void setInitialMutationStepSize(double d) {
if (d < 0) d = 0.0000001;
this.m_MutationStepSize = d;
}
public double getInitialMutationStepSize() {
return this.m_MutationStepSize;
}
public String initialMutationStepSizeTipText() {
public String mutationStepSizeTipText() {
return "Choose the initial mutation step size.";
}

2
src/eva2/server/go/operators/mutation/MutateOBGAFlip.java
View File

@ -9,7 +9,7 @@ import wsi.ra.math.RNG;
/**
* <p>Title: The JavaEvA</p>
* <p>Title: EvA2</p>
*
* <p>Description: </p>
*

2
src/eva2/server/go/operators/mutation/MutateOBGAInversion.java
View File

@ -9,7 +9,7 @@ import wsi.ra.math.RNG;
/**
* <p>Title: The JavaEvA</p>
* <p>Title: EvA2</p>
* <p>Description: </p>
* <p>Copyright: Copyright (c) 2003</p>
* <p>Company: </p>

4
src/eva2/server/go/operators/selection/probability/AbstractSelProb.java
View File

@ -23,7 +23,7 @@ public abstract class AbstractSelProb implements InterfaceSelectionProbability,
public abstract Object clone();
/** This method computes the selection probability for each individual
* in the population. Note: Summed over the complete populaiton the selection
* in the population. Note: Summed over the complete population the selection
* probability sums up to one.
* @param population The population to compute.
* @param input The name of the input.
@ -33,7 +33,7 @@ public abstract class AbstractSelProb implements InterfaceSelectionProbability,
}
/** This method computes the selection probability for each individual
* in the population. Note: Summed over the complete populaiton the selection
* in the population. Note: Summed over the complete population the selection
* probability sums up to one.
* @param population The population to compute.
* @param input The name of the input.

6
src/eva2/server/go/operators/selection/probability/InterfaceSelectionProbability.java
View File

@ -21,7 +21,7 @@ public interface InterfaceSelectionProbability {
public Object clone();
/** This method computes the selection probability for each individual
* in the population. Note: Summed over the complete populaiton the selection
* in the population. Note: Summed over the complete population the selection
* probability sums up to one.
* @param population The population to compute.
* @param input The name of the input.
@ -29,7 +29,7 @@ public interface InterfaceSelectionProbability {
public void computeSelectionProbability(Population population, String[] input, boolean obeyConst);
/** This method computes the selection probability for each individual
* in the population. Note: Summed over the complete populaiton the selection
* in the population. Note: Summed over the complete population the selection
* probability sums up to one.
* @param population The population to compute.
* @param input The name of the input.
@ -37,7 +37,7 @@ public interface InterfaceSelectionProbability {
public void computeSelectionProbability(Population population, String input, boolean obeyConst);
/** This method computes the selection probability for each individual
* in the population. Note: Summed over the complete populaiton the selection
* in the population. Note: Summed over the complete population the selection
* probability sums up to one.
* @param population The population to compute.
* @param data The input data as double[][].

2
src/eva2/server/go/operators/selection/probability/SelProbBoltzman.java
View File

@ -32,7 +32,7 @@ public class SelProbBoltzman extends AbstractSelProb implements java.io.Serializ
}
/** This method computes the selection probability for each individual
* in the population. Note: Summed over the complete populaiton the selection
* in the population. Note: Summed over the complete population the selection
* probability sums up to one.
* @param population The population to compute.
* @param data The input data as double[][].

2
src/eva2/server/go/operators/selection/probability/SelProbFitnessSharing.java
View File

@ -36,7 +36,7 @@ public class SelProbFitnessSharing extends AbstractSelProb implements java.io.Se
}
/** This method computes the selection probability for each individual
* in the population. Note: Summed over the complete populaiton the selection
* in the population. Note: Summed over the complete population the selection
* probability sums up to one. Keep in mind that fitness is always to be
* minimizied! Small values for data => big values for selectionprob.
* @param population The population to compute.

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