Rename methods for clarity.

ant/build.xml

@@ -612,7 +612,7 @@
 	+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++-->
 	<!-- 
 	should not be necessary any more: each revision gets its own directory
-	<target name="backupWWW" depends="init">
+	<target name="backupWWW" depends="initialize">
 		<mkdir dir="${web.download.base}/old-${DSTAMP}-${TSTAMP}" />
 		<copy todir="${web.download.base}/old-${DSTAMP}-${TSTAMP}">
 	      <fileset dir="${web.download.versioned}">

src/eva2/OptimizerFactory.java

@@ -111,7 +111,7 @@ public class OptimizerFactory {
         de.setCrossoverRate(CR);
         de.setLambda(lambda);
         de.addPopulationChangedEventListener(listener);
-        de.init();
+        de.initialize();
 
         if (listener != null) {
             listener.registerPopulationStateChanged(de.getPopulation(), "");
@@ -190,7 +190,7 @@ public class OptimizerFactory {
 //		theES.setPartnerSelection(selection);
         theES.setEnvironmentSelection(selection);
         theES.setProblem(problem);
-        theES.init();
+        theES.initialize();
 
         if (listener != null) {
             listener.registerPopulationStateChanged(theES.getPopulation(), "");
@@ -228,7 +228,7 @@ public class OptimizerFactory {
         ga.setParentSelection(select);
         ga.setPartnerSelection(select);
         ga.addPopulationChangedEventListener(listener);
-        ga.init();
+        ga.initialize();
 
         if (listener != null) {
             listener.registerPopulationStateChanged(ga.getPopulation(), "");
@@ -360,7 +360,7 @@ public class OptimizerFactory {
         hc.getPopulation().setTargetSize(popSize);
         hc.addPopulationChangedEventListener(listener);
         hc.setProblem(problem);
-        hc.init();
+        hc.initialize();
 
         if (listener != null) {
             listener.registerPopulationStateChanged(hc.getPopulation(), "");
@@ -389,7 +389,7 @@ public class OptimizerFactory {
         mc.getPopulation().setTargetSize(popsize);
         mc.addPopulationChangedEventListener(listener);
         mc.setProblem(problem);
-        mc.init();
+        mc.initialize();
 
         if (listener != null) {
             listener.registerPopulationStateChanged(mc.getPopulation(), "");
@@ -432,7 +432,7 @@ public class OptimizerFactory {
         pso.setTopology(selectedTopology);
         pso.setTopologyRange(topologyRange);
         pso.addPopulationChangedEventListener(listener);
-        pso.init();
+        pso.initialize();
 
         if (listener != null) {
             listener.registerPopulationStateChanged(pso.getPopulation(), "");
@@ -469,7 +469,7 @@ public class OptimizerFactory {
         sa.setProblem(problem);
         sa.getPopulation().setTargetSize(popsize);
         sa.addPopulationChangedEventListener(listener);
-        sa.init();
+        sa.initialize();
 
         if (listener != null) {
             listener.registerPopulationStateChanged(sa.getPopulation(), "");
@@ -479,7 +479,7 @@ public class OptimizerFactory {
     }
 
     /**
-     * Calling init here makes problems when using the Matlab interface.
+     * Calling initialize here makes problems when using the Matlab interface.
      *
      * @param learningRate
      * @param mutateSigma

src/eva2/gui/editor/AbstractListSelectionEditor.java

@@ -39,7 +39,7 @@ public abstract class AbstractListSelectionEditor extends JPanel implements Prop
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         this.customEditor = new JPanel();

src/eva2/gui/editor/GenericDoubleArrayEditor.java

@@ -80,7 +80,7 @@ public class GenericDoubleArrayEditor extends JPanel implements PropertyEditor {
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         this.customEditor = new JPanel();
@@ -88,12 +88,12 @@ public class GenericDoubleArrayEditor extends JPanel implements PropertyEditor {
 
         this.customEditor.add(new JLabel("Current Double Array:"), BorderLayout.NORTH);
 
-        // init data panel
+        // initialize data panel
         this.dataPanel = new JPanel();
         this.updateDataPanel();
         this.customEditor.add(this.dataPanel, BorderLayout.CENTER);
 
-        // init button panel
+        // initialize button panel
         this.buttonPanel = new JPanel();
         this.addButton = new JButton("Add");
         this.addButton.addActionListener(this.addAction);

src/eva2/gui/editor/GenericEpsilonConstraintEditor.java

@@ -44,7 +44,7 @@ public class GenericEpsilonConstraintEditor extends JPanel implements PropertyEd
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         this.customEditor = new JPanel();
@@ -62,12 +62,12 @@ public class GenericEpsilonConstraintEditor extends JPanel implements PropertyEd
         this.objectiveComboBox.addItemListener(this.objectiveAction);
         this.customEditor.add(this.targetPanel, BorderLayout.NORTH);
 
-        // init data panel
+        // initialize data panel
         this.dataPanel = new JPanel();
         this.updateDataPanel();
         this.customEditor.add(this.dataPanel, BorderLayout.CENTER);
 
-        // init button panel
+        // initialize button panel
         this.buttonPanel = new JPanel();
         this.okButton = new JButton("OK");
         this.okButton.setEnabled(true);

src/eva2/gui/editor/GenericEpsilonThresholdEditor.java

@@ -40,7 +40,7 @@ public class GenericEpsilonThresholdEditor extends JPanel implements PropertyEdi
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         this.customEditor = new JPanel();
@@ -58,12 +58,12 @@ public class GenericEpsilonThresholdEditor extends JPanel implements PropertyEdi
         this.objectiveComboBox.addItemListener(this.objectiveAction);
         this.customEditor.add(this.targetPanel, BorderLayout.NORTH);
 
-        // init data panel
+        // initialize data panel
         this.dataPanel = new JPanel();
         this.updateDataPanel();
         this.customEditor.add(this.dataPanel, BorderLayout.CENTER);
 
-        // init button panel
+        // initialize button panel
         this.buttonPanel = new JPanel();
         this.okButton = new JButton("OK");
         this.okButton.setEnabled(true);

src/eva2/gui/editor/GenericIntArrayEditor.java

@@ -42,7 +42,7 @@ public class GenericIntArrayEditor extends JPanel implements PropertyEditor {
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         this.customEditor = new JPanel();
@@ -50,12 +50,12 @@ public class GenericIntArrayEditor extends JPanel implements PropertyEditor {
 
         this.customEditor.add(new JLabel("Current Int Array:"), BorderLayout.NORTH);
 
-        // init data panel
+        // initialize data panel
         this.dataPanel = new JPanel();
         this.updateDataPanel();
         this.customEditor.add(this.dataPanel, BorderLayout.CENTER);
 
-        // init button panel
+        // initialize button panel
         this.buttonPanel = new JPanel();
         this.okButton = new JButton("OK");
         this.okButton.setEnabled(true);

src/eva2/gui/editor/GenericOptimizationObjectivesEditor.java

@@ -54,7 +54,7 @@ public class GenericOptimizationObjectivesEditor extends JPanel implements Prope
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         self = this;
@@ -62,7 +62,7 @@ public class GenericOptimizationObjectivesEditor extends JPanel implements Prope
         this.editor.setPreferredSize(new Dimension(400, 200));
         this.editor.setMinimumSize(new Dimension(400, 200));
 
-        // init the editors
+        // initialize the editors
         InterfaceOptimizationObjective[] list = this.optimizationObjectives.getSelectedTargets();
         this.editors = new GeneralOptimizationEditorProperty[list.length];
         for (int i = 0; i < list.length; i++) {

src/eva2/gui/editor/GenericOptimizationObjectivesWithParamEditor.java

@@ -55,7 +55,7 @@ public class GenericOptimizationObjectivesWithParamEditor extends JPanel impleme
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         self = this;
@@ -63,7 +63,7 @@ public class GenericOptimizationObjectivesWithParamEditor extends JPanel impleme
         this.editor.setPreferredSize(new Dimension(450, 200));
         this.editor.setMinimumSize(new Dimension(450, 200));
 
-        // init the editors
+        // initialize the editors
         InterfaceOptimizationObjective[] list = this.optimizationObjectivesWithWeights.getSelectedTargets();
         this.editors = new GeneralOptimizationEditorProperty[list.length];
         for (int i = 0; i < list.length; i++) {

src/eva2/gui/editor/GenericWeigthedLPTchebycheffEditor.java

@@ -43,7 +43,7 @@ public class GenericWeigthedLPTchebycheffEditor extends JPanel implements Proper
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         this.customEditor = new JPanel();
@@ -58,12 +58,12 @@ public class GenericWeigthedLPTchebycheffEditor extends JPanel implements Proper
         this.pvalueTextField.addKeyListener(this.readDoubleAction);
         this.customEditor.add(this.targetPanel, BorderLayout.NORTH);
 
-        // init data panel
+        // initialize data panel
         this.dataPanel = new JPanel();
         this.updateDataPanel();
         this.customEditor.add(this.dataPanel, BorderLayout.CENTER);
 
-        // init button panel
+        // initialize button panel
         this.buttonPanel = new JPanel();
         this.okButton = new JButton("OK");
         this.okButton.setEnabled(true);

src/eva2/gui/plot/FunctionArea.java

@@ -646,7 +646,7 @@ public class FunctionArea extends DArea implements Serializable {
                 maxSize = pointSetContainer.get(i).getConnectedPointSet().getSize();
             }
         }
-        if (maxSize > 0) { // if there is any data, init string array and set x
+        if (maxSize > 0) { // if there is any data, initialize string array and set x
             // value column
             s = new String[maxSize + 1];
             for (int j = 0; j <= maxSize; j++) {

src/eva2/optimization/go/MOCCOStandalone.java

@@ -40,7 +40,7 @@ public class MOCCOStandalone implements InterfaceStandaloneOptimization, Interfa
     }
 
     /**
-     * This method will init the main MOCCO GUI
+     * This method will initialize the main MOCCO GUI
      * frame
      */
     public void initMOCCOFrame() {
@@ -56,7 +56,7 @@ public class MOCCOStandalone implements InterfaceStandaloneOptimization, Interfa
                 System.exit(0);
             }
         });
-        // init basic panel structure
+        // initialize basic panel structure
         this.mainPanel = new JPanel();
         this.parameterPanel = new JPanel();
         this.parameterPanel.setPreferredSize(new Dimension(500, 300));
@@ -467,7 +467,7 @@ public class MOCCOStandalone implements InterfaceStandaloneOptimization, Interfa
         this.state.currentProblem.evaluate(this.state.optimizer.getPopulation());
         this.state.optimizer.getPopulation().setFunctionCalls(0);
         if (this.state.optimizer.getPopulation().size() == 0) {
-            this.state.optimizer.init();
+            this.state.optimizer.initialize();
         }
         this.state.optimizer.addPopulationChangedEventListener(this);
         worker = new SwingWorker() {

src/eva2/optimization/go/StandaloneOptimization.java

@@ -93,7 +93,7 @@ public class StandaloneOptimization implements InterfaceStandaloneOptimization,
      */
     public void initFrame() {
         this.progressBar = new JProgressBar();
-        // init the main frame
+        // initialize the main frame
         this.mainFrame = new JFrame();
         this.mainFrame.setTitle("Genetic Optimizing");
         this.mainFrame.setSize(500, 400);
@@ -177,7 +177,7 @@ public class StandaloneOptimization implements InterfaceStandaloneOptimization,
     }
 
     /**
-     * This action listener, called by the "Run/Restart" button, will init the
+     * This action listener, called by the "Run/Restart" button, will initialize the
      * problem and start the computation.
      */
     ActionListener runListener = new ActionListener() {
@@ -364,13 +364,13 @@ public class StandaloneOptimization implements InterfaceStandaloneOptimization,
                 this.outputFile = null;
             }
 
-            // init problem 
+            // initialize problem
             this.optimizationParameters.getProblem().initializeProblem();
             this.optimizationParameters.getOptimizer().setProblem(this.optimizationParameters.getProblem());
             // int optimizer and population
-            //this.optimizationParameters.getOptimizer().init();
+            //this.optimizationParameters.getOptimizer().initialize();
 
-            // init the log data
+            // initialize the log data
             ArrayList tmpMultiRun = new ArrayList();
             this.performedRuns.add(tmpMultiRun);
 
@@ -397,12 +397,12 @@ public class StandaloneOptimization implements InterfaceStandaloneOptimization,
                     this.optimizationParameters.getOptimizer().setPopulation(this.backupPopulation);
                     this.optimizationParameters.getOptimizer().getProblem().evaluate(this.optimizationParameters.getOptimizer().getPopulation());
                     this.optimizationParameters.getOptimizer().getProblem().evaluate(this.optimizationParameters.getOptimizer().getPopulation().getArchive());
-                    this.optimizationParameters.getOptimizer().initByPopulation(this.backupPopulation, false);
+                    this.optimizationParameters.getOptimizer().initializeByPopulation(this.backupPopulation, false);
                     this.optimizationParameters.getOptimizer().getPopulation().setFunctionCalls(0);
                     this.optimizationParameters.addPopulationChangedEventListener(this);
                 } else {
                     this.recentFunctionCalls = 0;
-                    this.optimizationParameters.getOptimizer().init();
+                    this.optimizationParameters.getOptimizer().initialize();
                 }
                 //while (this.optimizationParameters.getOptimizer().getPopulation().getFunctionCalls() < this.functionCalls) {
                 while (!this.optimizationParameters.getTerminator().isTerminated(this.optimizationParameters.getOptimizer().getPopulation())) {

src/eva2/optimization/individuals/AbstractEAIndividual.java

@@ -76,7 +76,7 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
     public abstract Object clone();
 
     /**
-     * Set the init/mutation/crossover operator and probabilities to the given
+     * Set the initialize/mutation/crossover operator and probabilities to the given
      * values.
      *
      * @param initOp
@@ -107,7 +107,7 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
     }
 
     /**
-     * Clone and init the mutation/crossover operator for the individual and
+     * Clone and initialize the mutation/crossover operator for the individual and
      * initialize the operators and probabilities to the given values.
      *
      * @param mutOp
@@ -313,7 +313,7 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
     }
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/ESIndividualBinaryData.java

@@ -206,7 +206,7 @@ public class ESIndividualBinaryData extends AbstractEAIndividual implements Inte
     }
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/ESIndividualDoubleData.java

@@ -255,7 +255,7 @@ public class ESIndividualDoubleData extends AbstractEAIndividual implements Inte
     }
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/ESIndividualIntegerData.java

@@ -226,7 +226,7 @@ public class ESIndividualIntegerData extends AbstractEAIndividual implements Int
  */
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/ESIndividualPermutationData.java

@@ -246,7 +246,7 @@ public class ESIndividualPermutationData extends AbstractEAIndividual implements
      */
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/GAESIndividualBinaryDoubleData.java

@@ -91,7 +91,7 @@ public class GAESIndividualBinaryDoubleData extends AbstractEAIndividual impleme
     }
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/GAIndividualBinaryData.java

@@ -111,7 +111,7 @@ public class GAIndividualBinaryData extends AbstractEAIndividual implements Inte
  * AbstractEAIndividual methods
  */
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/GAIndividualDoubleData.java

@@ -238,7 +238,7 @@ public class GAIndividualDoubleData extends AbstractEAIndividual implements Inte
  */
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/GAIndividualIntegerData.java

@@ -272,7 +272,7 @@ public class GAIndividualIntegerData extends AbstractEAIndividual implements Int
  * AbstractEAIndividual methods
  */
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/GAPIndividualProgramData.java

@@ -88,7 +88,7 @@ public class GAPIndividualProgramData extends AbstractEAIndividual implements In
     }
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/GEIndividualProgramData.java

@@ -585,7 +585,7 @@ public class GEIndividualProgramData extends AbstractEAIndividual implements Int
  * InterfaceEAIndividual methods
  */
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/GIIndividualIntegerData.java

@@ -230,7 +230,7 @@ public class GIIndividualIntegerData extends AbstractEAIndividual implements Int
  * AbstractEAIndividual methods
  */
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/GIOBGAIndividualIntegerPermutationData.java

@@ -88,7 +88,7 @@ public class GIOBGAIndividualIntegerPermutationData extends AbstractEAIndividual
     }
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/GPIndividualProgramData.java

@@ -231,7 +231,7 @@ public class GPIndividualProgramData extends AbstractEAIndividual implements Int
  * InterfaceEAIndividual methods
  */
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype
@@ -393,9 +393,9 @@ public class GPIndividualProgramData extends AbstractEAIndividual implements Int
     }
 
     /**
-     * This method set/get the init Full Grow Ratio.
+     * This method set/get the initialize Full Grow Ratio.
      *
-     * @param b The new init Full Grow Ratio of the GP Tree.
+     * @param b The new initialize Full Grow Ratio of the GP Tree.
      */
     public void setInitFullGrowRatio(double b) {
         if (b < 0) {
@@ -412,13 +412,13 @@ public class GPIndividualProgramData extends AbstractEAIndividual implements Int
     }
 
     public String initFullGrowRatioTipText() {
-        return "The ratio between the full and the grow init methods (1 uses only full initializing).";
+        return "The ratio between the full and the grow initialize methods (1 uses only full initializing).";
     }
 
     /**
-     * This method set/get the init depth.
+     * This method set/get the initialize depth.
      *
-     * @param b The new init Depth of the GP Tree.
+     * @param b The new initialize Depth of the GP Tree.
      */
     public void setInitDepth(int b) {
         if (b > this.maxAllowedDepth) {

src/eva2/optimization/individuals/OBGAIndividualPermutationData.java

@@ -99,7 +99,7 @@ public class OBGAIndividualPermutationData extends AbstractEAIndividual implemen
      */
 
     /**
-     * This method will init the individual with a given value for the
+     * This method will initialize the individual with a given value for the
      * phenotype.
      *
      * @param obj The initial value for the phenotype

src/eva2/optimization/individuals/codings/gp/AbstractGPNode.java

@@ -501,14 +501,14 @@ public abstract class AbstractGPNode implements InterfaceProgram, java.io.Serial
     }
 
     /**
-     * This method will simply init the array of nodes
+     * This method will simply initialize the array of nodes
      */
     public void initNodeArray() {
         this.nodes = new AbstractGPNode[this.getArity()];
     }
 
     /**
-     * This method performs a full init but with max depth
+     * This method performs a full initialize but with max depth
      *
      * @param area  The allowed function area.
      * @param depth The absolute target depth.
@@ -528,7 +528,7 @@ public abstract class AbstractGPNode implements InterfaceProgram, java.io.Serial
     }
 
     /**
-     * This method performs a grow init but with max depth
+     * This method performs a grow initialize but with max depth
      *
      * @param area  The allowed function area.
      * @param depth The absolute target depth.

src/eva2/optimization/mocco/InterfaceProcessElement.java

@@ -6,7 +6,7 @@ package eva2.optimization.mocco;
 public interface InterfaceProcessElement {
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     public void initProcessElementParametrization();
 

src/eva2/optimization/mocco/MOCCOChooseMOStrategy.java

@@ -31,7 +31,7 @@ public class MOCCOChooseMOStrategy extends MOCCOPhase implements InterfaceProces
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {

src/eva2/optimization/mocco/MOCCOChooseReferencePoint.java

@@ -25,7 +25,7 @@ public class MOCCOChooseReferencePoint extends MOCCOPhase implements InterfacePr
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {

src/eva2/optimization/mocco/MOCCOChooseReferenceSolution.java

@@ -26,7 +26,7 @@ public class MOCCOChooseReferenceSolution extends MOCCOPhase implements Interfac
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {

src/eva2/optimization/mocco/MOCCOInitialPopulationSize.java

@@ -19,7 +19,7 @@ public class MOCCOInitialPopulationSize extends MOCCOPhase implements InterfaceP
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {

src/eva2/optimization/mocco/MOCCOParameterizeGDF.java

@@ -42,7 +42,7 @@ public class MOCCOParameterizeGDF extends MOCCOPhase implements InterfaceProcess
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {

src/eva2/optimization/mocco/MOCCOParameterizeMO.java

@@ -28,7 +28,7 @@ public class MOCCOParameterizeMO extends MOCCOPhase implements InterfaceProcessE
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {
@@ -150,9 +150,9 @@ public class MOCCOParameterizeMO extends MOCCOPhase implements InterfaceProcessE
             }
             if (mocco.state.populationHistory.length > 0) {
                 pop = mocco.state.getSelectedPopulations();
-                mocco.state.optimizer.initByPopulation(pop, false);
+                mocco.state.optimizer.initializeByPopulation(pop, false);
                 if (pop.size() == 0) {
-                    mocco.state.optimizer.init();
+                    mocco.state.optimizer.initialize();
                 }
             }
             hasFinished = true;

src/eva2/optimization/mocco/MOCCOParameterizeRefPoint.java

@@ -41,7 +41,7 @@ public class MOCCOParameterizeRefPoint extends MOCCOPhase implements InterfacePr
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {
@@ -250,7 +250,7 @@ public class MOCCOParameterizeRefPoint extends MOCCOPhase implements InterfacePr
 //            }
             mocco.state.optimizer = islandModelEA;
             mocco.state.optimizer.setProblem(mocco.state.currentProblem);
-            islandModelEA.init();
+            islandModelEA.initialize();
             double[] tmpD;
             MOSOLpMetric[] tmpLPs = new MOSOLpMetric[perturbations];
             for (int i = 0; i < perturbations; i++) {

src/eva2/optimization/mocco/MOCCOParameterizeSO.java

@@ -31,7 +31,7 @@ public class MOCCOParameterizeSO extends MOCCOPhase implements InterfaceProcessE
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {

src/eva2/optimization/mocco/MOCCOParameterizeSTEP.java

@@ -39,7 +39,7 @@ public class MOCCOParameterizeSTEP extends MOCCOPhase implements InterfaceProces
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {

src/eva2/optimization/mocco/MOCCOParameterizeTchebycheff.java

@@ -36,7 +36,7 @@ public class MOCCOParameterizeTchebycheff extends MOCCOPhase implements Interfac
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {
@@ -242,7 +242,7 @@ public class MOCCOParameterizeTchebycheff extends MOCCOPhase implements Interfac
 //            }
             mocco.state.optimizer = islandModelEA;
             mocco.state.optimizer.setProblem(mocco.state.currentProblem);
-            islandModelEA.init();
+            islandModelEA.initialize();
             double[] tmpD;
             double sum = 0, l = 0, u = 1;
             MOSOWeightedLPTchebycheff[] tmpLPs = new MOSOWeightedLPTchebycheff[perturbations];

src/eva2/optimization/mocco/MOCCOPhase.java

@@ -20,7 +20,7 @@ public abstract class MOCCOPhase implements InterfaceProcessElement {
     public volatile boolean hasFinished = false;
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public abstract void initProcessElementParametrization();

src/eva2/optimization/mocco/MOCCOProblemInitialization.java

@@ -26,7 +26,7 @@ public class MOCCOProblemInitialization extends MOCCOPhase implements InterfaceP
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {

src/eva2/optimization/mocco/MOCCOProblemRedefinition.java

@@ -27,7 +27,7 @@ public class MOCCOProblemRedefinition extends MOCCOPhase implements InterfacePro
     }
 
     /**
-     * This method will call the init method and will go to stall
+     * This method will call the initialize method and will go to stall
      */
     @Override
     public void initProcessElementParametrization() {

src/eva2/optimization/modules/Processor.java

@@ -242,7 +242,7 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
             this.optimizationParameters.getTerminator().init(this.optimizationParameters.getProblem());
             maybeInitParamCtrl(optimizationParameters);
             if (this.createInitialPopulations) {
-                this.optimizationParameters.getOptimizer().init();
+                this.optimizationParameters.getOptimizer().initialize();
             }
 
             if (optimizationStateListener != null) {
@@ -321,8 +321,8 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
     }
 
     private void maybeInitParamCtrl(InterfaceOptimizationParameters goParams) {
-        iterateParamCtrl(goParams.getOptimizer(), "init", new Object[]{goParams.getOptimizer(), goParams.getOptimizer().getPopulation()});
+        iterateParamCtrl(goParams.getOptimizer(), "initialize", new Object[]{goParams.getOptimizer(), goParams.getOptimizer().getPopulation()});
-        iterateParamCtrl(goParams.getProblem(), "init", new Object[]{goParams.getProblem(), goParams.getOptimizer().getPopulation()});
+        iterateParamCtrl(goParams.getProblem(), "initialize", new Object[]{goParams.getProblem(), goParams.getOptimizer().getPopulation()});
     }
 
     private void maybeFinishParamCtrl(InterfaceOptimizationParameters goParams) {

src/eva2/optimization/operator/archiving/ArchivingNSGAII.java

@@ -55,7 +55,7 @@ public class ArchivingNSGAII extends ArchivingNSGA implements java.io.Serializab
         tmpPop = null;
 //        this.calculateCrowdingDistance(fronts);
 
-        // Now init the new archive
+        // Now initialize the new archive
         Population archive = new Population();
         archive.setTargetSize(pop.getArchive().getTargetSize());
 

src/eva2/optimization/operator/archiving/ArchivingSPEAII.java

@@ -61,7 +61,7 @@ public class ArchivingSPEAII extends AbstractArchiving implements java.io.Serial
 //            ((AbstractEAIndividual)tmpPop.get(i)).SetData("kthDistance", new Double(kthDistance[i]));
 //        }
 
-        // Now init the new archive
+        // Now initialize the new archive
         Population archive = new Population();
         archive.setTargetSize(pop.getArchive().getTargetSize());
 

src/eva2/optimization/operator/classification/ClassificationSelfOrganizingMaps.java

@@ -84,7 +84,7 @@ public class ClassificationSelfOrganizingMaps implements java.io.Serializable, I
     }
 
     /**
-     * This method will init the classificator
+     * This method will initialize the classificator
      *
      * @param space The double[n][d] space
      * @param type  The classes [0,1,..]
@@ -152,7 +152,7 @@ public class ClassificationSelfOrganizingMaps implements java.io.Serializable, I
      */
     @Override
     public void train(double[][] space, int[] type) {
-        // first init the assignment to zero
+        // first initialize the assignment to zero
         for (int i = 0; i < this.SOM.length; i++) {
             for (int j = 0; j < this.SOM[0].length; j++) {
                 for (int k = 0; k < this.SOMClass[0][0].length; k++) {

src/eva2/optimization/operator/classification/InterfaceClassification.java

@@ -18,7 +18,7 @@ public interface InterfaceClassification {
     public Object clone();
 
     /**
-     * This method will init the classificator
+     * This method will initialize the classificator
      *
      * @param space The double[n][d] space*
      * @param type  The classes [0,1,..]

src/eva2/optimization/operator/crossover/CrossoverEAMixer.java

@@ -96,7 +96,7 @@ public class CrossoverEAMixer implements InterfaceCrossover, InterfaceEvaluating
     }
 
     /**
-     * This method allows you to init the crossover operator
+     * This method allows you to initialize the crossover operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/crossover/CrossoverESPCX.java

@@ -226,7 +226,7 @@ public class CrossoverESPCX implements InterfaceCrossover, java.io.Serializable
         int n = 2;
 
         //RNG.setseed(1);
-        // init individual
+        // initialize individual
         indy1 = new ESIndividualDoubleData();
         double[][] range = new double[n][2];
         for (int i = 0; i < range.length; i++) {
@@ -235,18 +235,18 @@ public class CrossoverESPCX implements InterfaceCrossover, java.io.Serializable
         }
         indy1.setDoubleDataLength(n);
         indy1.setDoubleRange(range);
-        // init values
+        // initialize values
         indy2 = (ESIndividualDoubleData) indy1.clone();
         indy3 = (ESIndividualDoubleData) indy1.clone();
         indy4 = (ESIndividualDoubleData) indy1.clone();
         if (false) {
-            // random init
+            // random initialize
             indy1.defaultInit(prob);
             indy2.defaultInit(prob);
             indy3.defaultInit(prob);
             indy4.defaultInit(prob);
         } else {
-            // value init
+            // value initialize
             tmpD[0] = 0;
             tmpD[1] = 1;
             indy1.initByValue(tmpD, prob);

src/eva2/optimization/operator/crossover/CrossoverESSBX.java

@@ -132,7 +132,7 @@ public class CrossoverESSBX implements InterfaceCrossover, java.io.Serializable
         ESIndividualDoubleData indy1, indy2, indy3;
         F1Problem prob = new F1Problem();
 
-        // init individual
+        // initialize individual
         indy1 = new ESIndividualDoubleData();
         double[][] range = new double[2][2];
         range[0][0] = -2.0;
@@ -141,16 +141,16 @@ public class CrossoverESSBX implements InterfaceCrossover, java.io.Serializable
         range[1][1] = 2.0;
         indy1.setDoubleDataLength(2);
         indy1.setDoubleRange(range);
-        // init values
+        // initialize values
         indy2 = (ESIndividualDoubleData) indy1.clone();
         indy3 = (ESIndividualDoubleData) indy1.clone();
         if (false) {
-            // random init
+            // random initialize
             indy1.defaultInit(prob);
             indy2.defaultInit(prob);
             indy3.defaultInit(prob);
         } else {
-            // value init
+            // value initialize
             tmpD[0] = 0.5;
             tmpD[1] = -0.5;
             indy1.initByValue(tmpD, prob);

src/eva2/optimization/operator/crossover/CrossoverESSPX.java

@@ -144,7 +144,7 @@ public class CrossoverESSPX implements InterfaceCrossover, java.io.Serializable
         int n = 2;
 
         RNG.setRandomSeed(1);
-        // init individual
+        // initialize individual
         indy1 = new ESIndividualDoubleData();
         double[][] range = new double[n][2];
         for (int i = 0; i < range.length; i++) {
@@ -153,18 +153,18 @@ public class CrossoverESSPX implements InterfaceCrossover, java.io.Serializable
         }
         indy1.setDoubleDataLength(n);
         indy1.setDoubleRange(range);
-        // init values
+        // initialize values
         indy2 = (ESIndividualDoubleData) indy1.clone();
         indy3 = (ESIndividualDoubleData) indy1.clone();
         indy4 = (ESIndividualDoubleData) indy1.clone();
         if (false) {
-            // random init
+            // random initialize
             indy1.defaultInit(prob);
             indy2.defaultInit(prob);
             indy3.defaultInit(prob);
             indy4.defaultInit(prob);
         } else {
-            // value init
+            // value initialize
             tmpD[0] = -1;
             tmpD[1] = -0.5;
             indy1.initByValue(tmpD, prob);

src/eva2/optimization/operator/crossover/CrossoverESUNDX.java

@@ -232,7 +232,7 @@ public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable
         int n = 2;
 
         RNG.setRandomSeed(1);
-        // init individual
+        // initialize individual
         indy1 = new ESIndividualDoubleData();
         double[][] range = new double[n][2];
         for (int i = 0; i < range.length; i++) {
@@ -241,18 +241,18 @@ public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable
         }
         indy1.setDoubleDataLength(n);
         indy1.setDoubleRange(range);
-        // init values
+        // initialize values
         indy2 = (ESIndividualDoubleData) indy1.clone();
         indy3 = (ESIndividualDoubleData) indy1.clone();
         indy4 = (ESIndividualDoubleData) indy1.clone();
         if (false) {
-            // random init
+            // random initialize
             indy1.defaultInit(prob);
             indy2.defaultInit(prob);
             indy3.defaultInit(prob);
             indy4.defaultInit(prob);
         } else {
-            // value init
+            // value initialize
             tmpD[0] = -1.9;
             tmpD[1] = -1.8;
             indy1.initByValue(tmpD, prob);

src/eva2/optimization/operator/crossover/CrossoverOBGAPMX.java

@@ -103,7 +103,7 @@ public class CrossoverOBGAPMX implements InterfaceCrossover, java.io.Serializabl
 
     @Override
     public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
-        // nothing to init!
+        // nothing to initialize!
     }
 
     @Override

src/eva2/optimization/operator/crossover/CrossoverOBGAPMXUniform.java

@@ -100,7 +100,7 @@ public class CrossoverOBGAPMXUniform implements InterfaceCrossover, java.io.Seri
 
     @Override
     public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
-        // nothing to init!
+        // nothing to initialize!
     }
 
     @Override

src/eva2/optimization/operator/crossover/PropertyCrossoverMixerEditor.java

@@ -56,7 +56,7 @@ public class PropertyCrossoverMixerEditor extends JPanel implements PropertyEdit
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         self = this;
@@ -64,7 +64,7 @@ public class PropertyCrossoverMixerEditor extends JPanel implements PropertyEdit
         this.editor.setPreferredSize(new Dimension(450, 200));
         this.editor.setMinimumSize(new Dimension(450, 200));
 
-        // init the editors
+        // initialize the editors
         InterfaceCrossover[] list = this.crossoverMixer.getSelectedCrossers();
         this.editors = new GeneralOptimizationEditorProperty[list.length];
         for (int i = 0; i < list.length; i++) {

src/eva2/optimization/operator/crossover/TestESCrossover.java

@@ -44,7 +44,7 @@ public class TestESCrossover implements java.io.Serializable {
 
 
     private void initFrame() {
-        // init the main frame
+        // initialize the main frame
         this.frame = new JFrame();
         this.frame.setTitle("ES Crossover Tester");
         this.frame.setSize(300, 400);

src/eva2/optimization/operator/initialization/DefaultInitialization.java

@@ -4,7 +4,7 @@ import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.problems.InterfaceOptimizationProblem;
 
 /**
- * A dummy initialization method which only calls the default init method of the individual.
+ * A dummy initialization method which only calls the default initialize method of the individual.
  *
  * @author mkron
  */

src/eva2/optimization/operator/initialization/GAGIInitializeSegmentwise.java

@@ -95,10 +95,10 @@ public class GAGIInitializeSegmentwise implements InterfaceInitialization, java.
     }
 //	
 //	public static void main(String[] args) {
-//		GAGIInitializeSegmentwise init = new GAGIInitializeSegmentwise(5, new int[]{5,0}, 0.5);
+//		GAGIInitializeSegmentwise initialize = new GAGIInitializeSegmentwise(5, new int[]{5,0}, 0.5);
 //		GIIndividualIntegerData indy = new GIIndividualIntegerData();
-//		indy.setInitOperator(init);
+//		indy.setInitOperator(initialize);
-//		indy.init(null);
+//		indy.initialize(null);
 //		System.out.println(indy.getStringRepresentation());
 //	}
 
@@ -289,7 +289,7 @@ public class GAGIInitializeSegmentwise implements InterfaceInitialization, java.
 
     ////////
     public String getName() {
-        return "GA-GI segment-wise init";
+        return "GA-GI segment-wise initialize";
     }
 
     public static String globalInfo() {

src/eva2/optimization/operator/migration/MOClusteringSeparation.java

@@ -269,7 +269,7 @@ public class MOClusteringSeparation implements InterfaceMigration, java.io.Seria
 //        for (int i = 0; i < islands.length; i++) {
 //            islands[i] = new MultiObjectiveEA();
 //            islands[i].SetProblem(problem);
-//            islands[i].init();
+//            islands[i].initialize();
 //        }
 //
 //        cluster.kMeans.setUseSearchSpace(true);

src/eva2/optimization/operator/migration/MOConeSeparation.java

@@ -643,7 +643,7 @@ public class MOConeSeparation implements InterfaceMigration, java.io.Serializabl
 //        for (int i = 0; i < islands.length; i++) {
 //            islands[i] = new MultiObjectiveEA();
 //            islands[i].SetProblem(problem);
-//            islands[i].init();
+//            islands[i].initialize();
 //        }
 //
 //        for (int i = 0; i < 20; i++) {

src/eva2/optimization/operator/migration/MOXMeansSeparation.java

@@ -273,7 +273,7 @@ public class MOXMeansSeparation implements InterfaceMigration, java.io.Serializa
 //        for (int i = 0; i < islands.length; i++) {
 //            islands[i] = new MultiObjectiveEA();
 //            islands[i].SetProblem(problem);
-//            islands[i].init();
+//            islands[i].initialize();
 //        }
 //
 //        cluster.xMeans.setUseSearchSpace(true);

src/eva2/optimization/operator/mutation/CMAParamSet.java

@@ -111,13 +111,13 @@ class CMAParamSet implements InterfacePopulationChangedEventListener, Serializab
      * @return
      */
     public static CMAParamSet initCMAParams(CMAParamSet params, int mu, int lambda, double[] center, double[][] range, double initialSigma) {
-        // those are from init:
+        // those are from initialize:
         params.firstAdaptionDone = false;
         params.range = range;
 
         int dim = params.range.length;
-//		if (TRACE_1) System.out.println("WCMA init " + dim);
+//		if (TRACE_1) System.out.println("WCMA initialize " + dim);
-//		if (TRACE_1) System.out.println("WCMA static init " + dim);
+//		if (TRACE_1) System.out.println("WCMA static initialize " + dim);
         params.eigenvalues = new double[dim];
         Arrays.fill(params.eigenvalues, 1.);
         params.meanX = new double[dim];

src/eva2/optimization/operator/mutation/InterfaceMutation.java

@@ -18,7 +18,7 @@ public interface InterfaceMutation {
     public Object clone();
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateDefault.java

@@ -37,7 +37,7 @@ public class MutateDefault implements InterfaceMutation, java.io.Serializable {
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateEAMixer.java

@@ -100,7 +100,7 @@ public class MutateEAMixer implements InterfaceMutation, java.io.Serializable {
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESCorrVector.java

@@ -93,7 +93,7 @@ public class MutateESCorrVector implements InterfaceMutation, java.io.Serializab
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESCorrolated.java

@@ -106,7 +106,7 @@ public class MutateESCorrolated implements InterfaceMutation, java.io.Serializab
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.
@@ -116,14 +116,14 @@ public class MutateESCorrolated implements InterfaceMutation, java.io.Serializab
         if (individual instanceof InterfaceESIndividual) {
             double[] x = ((InterfaceESIndividual) individual).getDGenotype();
             if (this.sigmas == null) {
-                // init the Sigmas
+                // initialize the Sigmas
                 this.sigmas = new double[x.length];
                 for (int i = 0; i < this.sigmas.length; i++) {
                     this.sigmas[i] = this.mutationStepSize;
                 }
             }
             if (this.alphas == null) {
-                // init the Alphas
+                // initialize the Alphas
                 this.alphas = new double[(x.length * (x.length - 1)) / 2];
                 for (int i = 0; i < this.alphas.length; i++) {
                     this.alphas[i] = 0.0;

src/eva2/optimization/operator/mutation/MutateESCovarianceMatrixAdaption.java

@@ -138,7 +138,7 @@ public class MutateESCovarianceMatrixAdaption implements InterfaceMutation, java
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESCovarianceMatrixAdaptionPlus.java

@@ -42,7 +42,7 @@ public class MutateESCovarianceMatrixAdaptionPlus extends
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESFixedStepSize.java

@@ -57,7 +57,7 @@ public class MutateESFixedStepSize implements InterfaceMutation, java.io.Seriali
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESGlobal.java

@@ -86,7 +86,7 @@ public class MutateESGlobal implements InterfaceMutation, java.io.Serializable,
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESLocal.java

@@ -96,7 +96,7 @@ public class MutateESLocal implements InterfaceMutation, InterfaceAdditionalPopu
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.
@@ -104,7 +104,7 @@ public class MutateESLocal implements InterfaceMutation, InterfaceAdditionalPopu
     @Override
     public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         if (individual instanceof InterfaceESIndividual) {
-            // init the Sigmas
+            // initialize the Sigmas
             this.sigmas = new double[((InterfaceESIndividual) individual).getDGenotype().length];
             for (int i = 0; i < this.sigmas.length; i++) {
                 this.sigmas[i] = this.mutationStepSize;

src/eva2/optimization/operator/mutation/MutateESMainVectorAdaption.java

@@ -99,7 +99,7 @@ public class MutateESMainVectorAdaption implements InterfaceMutation, java.io.Se
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESMutativeStepSizeControl.java

@@ -80,7 +80,7 @@ public class MutateESMutativeStepSizeControl implements InterfaceMutation, java.
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESPathLengthAdaption.java

@@ -96,7 +96,7 @@ public class MutateESPathLengthAdaption implements InterfaceMutation, java.io.Se
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESPolynomial.java

@@ -53,7 +53,7 @@ public class MutateESPolynomial implements InterfaceMutation, java.io.Serializab
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateESRankMuCMA.java

@@ -137,7 +137,7 @@ public class MutateESRankMuCMA implements InterfaceAdaptOperatorGenerational, In
             EVAERROR.errorMsgOnce("Warning: invalid mu/lambda ratio! Setting mu to lambda/2 = " + mu + ", lambda = " + lambda);
         }
         CMAParamSet params;
-        if (oldGen.getGeneration() <= 1) { // init new param set. At gen < 1 we shouldnt be called, but better do it once too often
+        if (oldGen.getGeneration() <= 1) { // initialize new param set. At gen < 1 we shouldnt be called, but better do it once too often
             if (oldGen.hasData(cmaParamsKey)) {
                 params = CMAParamSet.initCMAParams((CMAParamSet) oldGen.getData(cmaParamsKey), mu, lambda, oldGen, getInitSigma(oldGen));
             } else {
@@ -259,7 +259,7 @@ public class MutateESRankMuCMA implements InterfaceAdaptOperatorGenerational, In
                 / params.d_sig);
         if (Double.isInfinite(sigFact)) {
             params.sigma *= 10.;
-        } // in larger search spaces sigma tends to explode after init.
+        } // in larger search spaces sigma tends to explode after initialize.
         else {
             params.sigma *= sigFact;
         }
@@ -574,12 +574,12 @@ public class MutateESRankMuCMA implements InterfaceAdaptOperatorGenerational, In
 //		firstAdaptionDone = false;
 //		range = ((InterfaceDataTypeDouble)individual).getDoubleRange();
 //		dim = range.length;
-//		if (TRACE_1) System.out.println("WCMA init " + dim);
+//		if (TRACE_1) System.out.println("WCMA initialize " + dim);
 //		c_c = (4./(dim+4));
 //		c_sig = Double.NaN; // mark as not yet initialized
 ////		c_u_sig = Double.NaN;
-//		d_sig = Double.NaN; // init in first adaption step!  
+//		d_sig = Double.NaN; // initialize in first adaption step!
-//		if (TRACE_1) System.out.println("WCMA static init " + dim);
+//		if (TRACE_1) System.out.println("WCMA static initialize " + dim);
 //		eigenvalues = new double[dim];
 //		Arrays.fill(eigenvalues, 1.);
 //		

src/eva2/optimization/operator/mutation/MutateESStandard.java

@@ -44,11 +44,11 @@ package eva2.optimization.operator.mutation;
 //        } else return false;
 //    }
 //
-//    /** This method allows you to init the mutation operator
+//    /** This method allows you to initialize the mutation operator
 //     * @param individual      The individual that will be mutated.
 //     * @param opt               The optimization problem.
 //     */
-//    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+//    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 //
 //    }
 //

src/eva2/optimization/operator/mutation/MutateGAAdaptive.java

@@ -65,7 +65,7 @@ public class MutateGAAdaptive implements InterfaceMutation, java.io.Serializable
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGAGISwapBits.java

@@ -74,7 +74,7 @@ public class MutateGAGISwapBits implements InterfaceMutation, java.io.Serializab
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGAInvertBits.java

@@ -57,7 +57,7 @@ public class MutateGAInvertBits implements InterfaceMutation, java.io.Serializab
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGANBit.java

@@ -52,7 +52,7 @@ public class MutateGANBit implements InterfaceMutation, java.io.Serializable {
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGAShiftSubstring.java

@@ -62,7 +62,7 @@ public class MutateGAShiftSubstring implements InterfaceMutation, java.io.Serial
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGASwapBitsSegmentwise.java

@@ -96,7 +96,7 @@ public class MutateGASwapBitsSegmentwise implements InterfaceMutation, java.io.S
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGIInsertDelete.java

@@ -55,7 +55,7 @@ public class MutateGIInsertDelete implements InterfaceMutation, java.io.Serializ
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGIInvert.java

@@ -55,7 +55,7 @@ public class MutateGIInvert implements InterfaceMutation, java.io.Serializable {
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGINominal.java

@@ -55,7 +55,7 @@ public class MutateGINominal implements InterfaceMutation, java.io.Serializable
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGIOrdinal.java

@@ -60,7 +60,7 @@ public class MutateGIOrdinal implements InterfaceMutation, java.io.Serializable
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGITranslocate.java

@@ -67,7 +67,7 @@ public class MutateGITranslocate implements InterfaceMutation, java.io.Serializa
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGPAdaptive.java

@@ -71,7 +71,7 @@ public class MutateGPAdaptive implements InterfaceMutation, java.io.Serializable
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateGPSingleNode.java

@@ -46,7 +46,7 @@ public class MutateGPSingleNode implements InterfaceMutation, java.io.Serializab
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/MutateOBGAFlip.java

@@ -52,7 +52,7 @@ public class MutateOBGAFlip implements InterfaceMutation, java.io.Serializable {
 
     @Override
     public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
-        //nothing to init
+        //nothing to initialize
     }
 
     @Override

src/eva2/optimization/operator/mutation/MutateOBGAInversion.java

@@ -52,7 +52,7 @@ public class MutateOBGAInversion implements java.io.Serializable, InterfaceMutat
 
     @Override
     public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
-        //nothing to init
+        //nothing to initialize
     }
 
     @Override

src/eva2/optimization/operator/mutation/NoMutation.java

@@ -40,7 +40,7 @@ public class NoMutation implements InterfaceMutation, java.io.Serializable {
     }
 
     /**
-     * This method allows you to init the mutation operator
+     * This method allows you to initialize the mutation operator
      *
      * @param individual The individual that will be mutated.
      * @param opt        The optimization problem.

src/eva2/optimization/operator/mutation/PropertyMutationMixerEditor.java

@@ -58,7 +58,7 @@ public class PropertyMutationMixerEditor extends JPanel implements PropertyEdito
     }
 
     /**
-     * This method will init the CustomEditor Panel
+     * This method will initialize the CustomEditor Panel
      */
     private void initCustomEditor() {
         self = this;
@@ -66,7 +66,7 @@ public class PropertyMutationMixerEditor extends JPanel implements PropertyEdito
         this.editorComponent.setPreferredSize(new Dimension(450, 200));
         this.editorComponent.setMinimumSize(new Dimension(450, 200));
 
-        // init the editors
+        // initialize the editors
         InterfaceMutation[] list = this.mutatorsWithWeights.getSelectedMutators();
         this.editors = new GeneralOptimizationEditorProperty[list.length];
         for (int i = 0; i < list.length; i++) {

src/eva2/optimization/operator/nichepso/absorption/StandardAbsorptionStrategy.java

@@ -16,7 +16,7 @@ public class StandardAbsorptionStrategy implements InterfaceAbsorptionStrategy,
 
     /**
      * *******************************************************************************************************************
-     * ctors, init, clone
+     * ctors, initialize, clone
      */
     @Override
     public Object clone() {

src/eva2/optimization/operator/paramcontrol/AbstractParameterControl.java

@@ -4,7 +4,7 @@ import eva2.gui.BeanInspector;
 import eva2.optimization.population.Population;
 
 /**
- * Convenience class. Besides the init() method, two more remain to be implemented:
+ * Convenience class. Besides the initialize() method, two more remain to be implemented:
  * the first one to retrieve an array of strings with the canonical names of the controlled parameters,
  * and the second one to produce an object array of the same length with the values to be assigned
  * at the iteration. If there is no iteration known, iteration counts will be set to -1.

src/eva2/optimization/operator/paramcontrol/CbpsoFitnessThresholdBasedAdaption.java

@@ -144,7 +144,7 @@ public class CbpsoFitnessThresholdBasedAdaption implements ParamAdaption, Generi
 
     /*
      * (non-Javadoc)
-     * @see eva2.optimization.operators.paramcontrol.ParamAdaption#init(java.lang.Object, eva2.optimization.populations.Population, java.lang.Object[])
+     * @see eva2.optimization.operators.paramcontrol.ParamAdaption#initialize(java.lang.Object, eva2.optimization.populations.Population, java.lang.Object[])
      */
     @Override
     public void init(Object obj, Population pop, Object[] initialValues) {

src/eva2/optimization/operator/paramcontrol/ParameterControlManager.java

@@ -71,7 +71,7 @@ public class ParameterControlManager implements InterfaceParameterControl, Seria
         for (ParamAdaption prm : singleAdapters) {
             prm.init(obj, initialPop, initialValues);
             // check if the prm itself has a ParameterControlManager:
-            tryRecursive(prm, "init", new Object[]{initialPop});
+            tryRecursive(prm, "initialize", new Object[]{initialPop});
         }
     }
 
@@ -80,7 +80,7 @@ public class ParameterControlManager implements InterfaceParameterControl, Seria
         if ((subManager = BeanInspector.callIfAvailable(prm, "getParamControl", null)) != null) {
             if (subManager instanceof ParameterControlManager) {
                 BeanInspector.callIfAvailable(subManager, method, args);
-//				((ParameterControlManager)subManager).init(prm, initialPop);
+//				((ParameterControlManager)subManager).initialize(prm, initialPop);
             }
         }
     }