Clean up statistics code

fixes #20
- Move enums from .stat to .enums
- rename .stat package to .statistics
- make strings in StringSelectionEditor human readable

src/eva2/OptimizerFactory.java

@@ -1,8 +1,8 @@
 package eva2;
 
-import eva2.optimization.enums.DETypeEnum;
+import eva2.optimization.enums.DEType;
-import eva2.optimization.enums.MutateESCrossoverTypeEnum;
+import eva2.optimization.enums.MutateESCrossoverType;
-import eva2.optimization.enums.PSOTopologyEnum;
+import eva2.optimization.enums.PSOTopology;
 import eva2.optimization.enums.PostProcessMethod;
 import eva2.optimization.go.InterfacePopulationChangedEventListener;
 import eva2.optimization.individuals.*;
@@ -28,7 +28,7 @@ import eva2.optimization.operator.terminators.InterfaceTerminator;
 import eva2.optimization.population.PBILPopulation;
 import eva2.optimization.population.Population;
 import eva2.problems.AbstractOptimizationProblem;
-import eva2.optimization.stat.InterfaceStatistics;
+import eva2.optimization.statistics.InterfaceStatistics;
 import eva2.optimization.strategies.*;
 import eva2.tools.math.RNG;
 
@@ -106,7 +106,7 @@ public class OptimizerFactory {
         DifferentialEvolution de = new DifferentialEvolution();
         de.setProblem(problem);
         de.getPopulation().setTargetSize(popsize);
-        de.setDEType(DETypeEnum.DE2_CurrentToBest);
+        de.setDEType(DEType.DE2_CurrentToBest);
         de.setDifferentialWeight(f);
         de.setCrossoverRate(CR);
         de.setLambda(lambda);
@@ -416,7 +416,7 @@ public class OptimizerFactory {
      */
     public static ParticleSwarmOptimization createParticleSwarmOptimization(
             AbstractOptimizationProblem problem, int popsize, double phi1,
-            double phi2, double speedLim, PSOTopologyEnum selectedTopology, int topologyRange,
+            double phi2, double speedLim, PSOTopology selectedTopology, int topologyRange,
             InterfacePopulationChangedEventListener listener) {
 
         problem.initializeProblem();
@@ -1449,7 +1449,7 @@ public class OptimizerFactory {
     public static OptimizationParameters standardDE(
             AbstractOptimizationProblem problem) {
         DifferentialEvolution de = new DifferentialEvolution();
-        de.setDEType(DETypeEnum.DE2_CurrentToBest); // this sets current-to-best
+        de.setDEType(DEType.DE2_CurrentToBest); // this sets current-to-best
         de.setDifferentialWeight(0.8);
         de.setCrossoverRate(0.6);
         de.setLambda(0.6);
@@ -1465,7 +1465,7 @@ public class OptimizerFactory {
         es.setPlusStrategy(false);
 
         if (assertIndyType(problem, InterfaceESIndividual.class)) {
-            setTemplateOperators(problem, new MutateESGlobal(0.2, MutateESCrossoverTypeEnum.intermediate), 0.9, new CrossoverESDefault(), 0.2);
+            setTemplateOperators(problem, new MutateESGlobal(0.2, MutateESCrossoverType.intermediate), 0.9, new CrossoverESDefault(), 0.2);
         } else {
             System.err.println("Error, standard ES is implemented for ES individuals only (requires double data types)");
             return null;
@@ -1493,7 +1493,7 @@ public class OptimizerFactory {
             AbstractOptimizationProblem problem) {
         ParticleSwarmOptimization pso = new ParticleSwarmOptimization();
         pso.setPhiValues(2.05, 2.05);
-        pso.setTopology(PSOTopologyEnum.grid);
+        pso.setTopology(PSOTopology.grid);
         pso.setTopologyRange(1);
         return makeParams(pso, 30, problem, randSeed, getTerminator());
     }
@@ -1526,7 +1526,7 @@ public class OptimizerFactory {
         EsDpiNiching nes = new EsDpiNiching(nicheRadius, muPerPeak, lambdaPerPeak, expectedPeaks, rndImmigrants, explorerPeaks, resetExplInterval, etaPresel);
 
         if (assertIndyType(prob, InterfaceESIndividual.class)) {
-            setTemplateOperators(prob, new MutateESGlobal(0.2, MutateESCrossoverTypeEnum.intermediate), 0.9, new CrossoverESDefault(), 0.2);
+            setTemplateOperators(prob, new MutateESGlobal(0.2, MutateESCrossoverType.intermediate), 0.9, new CrossoverESDefault(), 0.2);
         } else {
             System.err.println("Error, standard ES is implemented for ES individuals only (requires double data types)");
             return null;

src/eva2/OptimizerRunnable.java

@@ -6,14 +6,13 @@ import eva2.optimization.individuals.IndividualInterface;
 import eva2.optimization.individuals.InterfaceDataTypeBinary;
 import eva2.optimization.individuals.InterfaceDataTypeDouble;
 import eva2.optimization.individuals.InterfaceDataTypeInteger;
-import eva2.optimization.modules.OptimizationParameters;
 import eva2.optimization.modules.Processor;
 import eva2.optimization.operator.postprocess.InterfacePostProcessParams;
 import eva2.optimization.operator.postprocess.PostProcessParams;
 import eva2.optimization.operator.terminators.InterfaceTerminator;
 import eva2.optimization.population.Population;
 import eva2.optimization.population.SolutionSet;
-import eva2.optimization.stat.*;
+import eva2.optimization.statistics.*;
 
 import java.io.PrintWriter;
 import java.io.StringWriter;

src/eva2/cli/Main.java

@@ -3,8 +3,8 @@ package eva2.cli;
 import com.google.gson.*;
 import eva2.OptimizerFactory;
 import eva2.optimization.OptimizationStateListener;
-import eva2.optimization.enums.DETypeEnum;
+import eva2.optimization.enums.DEType;
-import eva2.optimization.enums.PSOTopologyEnum;
+import eva2.optimization.enums.PSOTopology;
 import eva2.optimization.go.InterfacePopulationChangedEventListener;
 import eva2.optimization.modules.OptimizationParameters;
 import eva2.optimization.operator.crossover.CrossoverESDefault;
@@ -461,7 +461,7 @@ public class Main implements OptimizationStateListener, InterfacePopulationChang
 
                 if (commandLine.hasOption("DEType")) {
                     ((DifferentialEvolution)this.optimizer).setDEType(
-                            DETypeEnum.getFromId(
+                            DEType.getFromId(
                                     Integer.parseInt(commandLine.getOptionValue("DEType"))
                             )
                     );
@@ -498,7 +498,7 @@ public class Main implements OptimizationStateListener, InterfacePopulationChang
             case "ParticleSwarmOptimization": {
                 double phi1 = 2.05, phi2 = 2.05, speedLimit = 0.1;
                 int topoRange = 2;
-                PSOTopologyEnum selectedTopology = PSOTopologyEnum.star;
+                PSOTopology selectedTopology = PSOTopology.star;
 
                 opt.addOption("speedLimit", true, "Speed Limit");
                 opt.addOption("topology", true, "Particle Swarm Topology (0-7)");
@@ -524,7 +524,7 @@ public class Main implements OptimizationStateListener, InterfacePopulationChang
                 }
 
                 if (commandLine.hasOption("topology")) {
-                    selectedTopology = PSOTopologyEnum.getFromId(Integer.parseInt(commandLine.getOptionValue("topology")));
+                    selectedTopology = PSOTopology.getFromId(Integer.parseInt(commandLine.getOptionValue("topology")));
                 }
 
                 if (commandLine.hasOption("speedLimit")) {

src/eva2/gui/EvAModuleButtonPanelMaker.java

@@ -2,7 +2,7 @@ package eva2.gui;
 
 import eva2.optimization.OptimizationStateListener;
 import eva2.optimization.modules.ModuleAdapter;
-import eva2.optimization.stat.OptimizationJob;
+import eva2.optimization.statistics.OptimizationJob;
 import eva2.tools.ToolBoxGui;
 
 import javax.swing.*;

src/eva2/gui/JParaPanel.java

@@ -1,7 +1,7 @@
 package eva2.gui;
 
 import eva2.gui.editor.GenericObjectEditor;
-import eva2.optimization.stat.OptimizationJobList;
+import eva2.optimization.statistics.OptimizationJobList;
 
 import javax.swing.*;
 import java.beans.PropertyEditor;

src/eva2/gui/JTextoutputFrameInterface.java

@@ -1,6 +1,6 @@
 package eva2.gui;
 
-import eva2.optimization.stat.InterfaceTextListener;
+import eva2.optimization.statistics.InterfaceTextListener;
 
 /*
  *

src/eva2/gui/Main.java

@@ -6,9 +6,9 @@ import eva2.util.ClassPreloader;
 import eva2.util.EvAComAdapter;
 import eva2.optimization.OptimizationStateListener;
 import eva2.optimization.go.InterfaceOptimizationParameters;
-import eva2.optimization.stat.AbstractStatistics;
+import eva2.optimization.statistics.AbstractStatistics;
-import eva2.optimization.stat.InterfaceStatisticsListener;
+import eva2.optimization.statistics.InterfaceStatisticsListener;
-import eva2.optimization.stat.InterfaceStatisticsParameter;
+import eva2.optimization.statistics.InterfaceStatisticsParameter;
 import eva2.tools.BasicResourceLoader;
 import eva2.tools.EVAERROR;
 import eva2.tools.ReflectPackage;

src/eva2/gui/PropertySelectableList.java

@@ -4,11 +4,6 @@ import java.beans.PropertyChangeListener;
 import java.beans.PropertyChangeSupport;
 
 /**
- * Created by IntelliJ IDEA.
- * User: streiche
- * Date: 23.03.2004
- * Time: 15:04:05
- * To change this template use File | Settings | File Templates.
  */
 public class PropertySelectableList<T> implements java.io.Serializable {
 
@@ -16,9 +11,6 @@ public class PropertySelectableList<T> implements java.io.Serializable {
     protected boolean[] selections;
     private transient PropertyChangeSupport propertyChangeSupport = new PropertyChangeSupport(this);
 
-    //    public PropertySelectableList() {
-//    }
-//    
     public PropertySelectableList(T[] initial) {
         objects = initial;
         selections = new boolean[initial.length];

src/eva2/gui/editor/AbstractListSelectionEditor.java

@@ -11,11 +11,6 @@ import java.beans.PropertyChangeSupport;
 import java.beans.PropertyEditor;
 
 /**
- * Created by IntelliJ IDEA.
- * User: streiche
- * Date: 27.06.2003
- * Time: 11:41:01
- * To change this template use Options | File Templates.
  */
 public abstract class AbstractListSelectionEditor extends JPanel implements PropertyEditor, PropertyChangeListener {
 

src/eva2/gui/editor/StatisticsEditor.java

@@ -4,7 +4,7 @@ package eva2.gui.editor;
  */
 
 import eva2.gui.PropertySheetPanelStat;
-import eva2.optimization.stat.GenericStatistics;
+import eva2.optimization.statistics.GenericStatistics;
 
 import javax.swing.*;
 import java.awt.*;

src/eva2/gui/editor/StringSelectionEditor.java

@@ -1,6 +1,7 @@
 package eva2.gui.editor;
 
 import eva2.tools.StringSelection;
+import eva2.tools.StringTools;
 
 public class StringSelectionEditor extends AbstractListSelectionEditor {
     StringSelection strs;
@@ -24,7 +25,7 @@ public class StringSelectionEditor extends AbstractListSelectionEditor {
 
     @Override
     protected String getElementName(int i) {
-        return strs.getElement(i);
+        return StringTools.humaniseCamelCase(strs.getElement(i));
     }
 
     @Override

src/eva2/optimization/enums/DEType.java

@@ -1,6 +1,6 @@
 package eva2.optimization.enums;
 
-public enum DETypeEnum {
+public enum DEType {
     DE1_Rand_1, DE2_CurrentToBest, DE_Best_1, DE_Best_2, TrigonometricDE, DE_CurrentToRand;
     //", "DE2 - DE/current-to-best/1", "DE/best/2", "Trigonometric DE"};
 
@@ -10,7 +10,7 @@ public enum DETypeEnum {
      * @param id
      * @return
      */
-    public static DETypeEnum getFromId(int id) {
+    public static DEType getFromId(int id) {
         switch (id) {
             case 0:
                 return DE1_Rand_1;
@@ -25,7 +25,7 @@ public enum DETypeEnum {
             case 5:
                 return DE_CurrentToRand;
             default:
-                System.err.println("Error: invalid old DEType ID in DETypeEnum getFromId! Using DE_Best_1.");
+                System.err.println("Error: invalid old DEType ID in DEType getFromId! Using DE_Best_1.");
                 return DE_Best_1;
         }
     }

src/eva2/optimization/enums/MutateESCrossoverType.java

@@ -1,5 +1,5 @@
 package eva2.optimization.enums;
 
-public enum MutateESCrossoverTypeEnum {
+public enum MutateESCrossoverType {
     none, intermediate, discrete
 }

src/eva2/optimization/enums/PSOTopology.java

@@ -1,6 +1,6 @@
 package eva2.optimization.enums;
 
-public enum PSOTopologyEnum {
+public enum PSOTopology {
     /**
      *
      */
@@ -37,7 +37,7 @@ public enum PSOTopologyEnum {
      * @param oldID
      * @return
      */
-    public static PSOTopologyEnum getFromId(int oldID) {
+    public static PSOTopology getFromId(int oldID) {
         switch (oldID) {
             case 0:
                 return linear;

src/eva2/optimization/enums/StatisticsOnSingleDataSet.java

@@ -1,6 +1,6 @@
-package eva2.optimization.stat;
+package eva2.optimization.enums;
 
-public enum StatsOnSingleDataSetEnum {
+public enum StatisticsOnSingleDataSet {
     mean, median, variance, stdDev;
 
     public static String[] getInfoStrings() {

src/eva2/optimization/enums/StatisticsOnTwoSampledData.java

@@ -1,12 +1,14 @@
-package eva2.optimization.stat;
+package eva2.optimization.enums;
 
-public enum StatsOnTwoSampledDataEnum {
+public enum StatisticsOnTwoSampledData {
     tTestEqLenEqVar, tTestUneqLenEqVar, tTestUneqLenUneqVar, mannWhitney;
 
     public static String[] getInfoStrings() {
-        return new String[]{"Two-sampled t-Test with equal sized data sets",
+        return new String[]{
+                "Two-sampled t-Test with equal sized data sets",
                 "Two-sampled t-Test with unequal sized data sets",
                 "Two-sampled t-Test with unequal data sets and unequal variances",
-                "Two-sampled Mann-Whitney test"};
+                "Two-sampled Mann-Whitney test"
+        };
     }
 }

src/eva2/optimization/individuals/ESIndividualDoubleData.java

@@ -1,7 +1,7 @@
 package eva2.optimization.individuals;
 
 
-import eva2.optimization.enums.MutateESCrossoverTypeEnum;
+import eva2.optimization.enums.MutateESCrossoverType;
 import eva2.optimization.operator.crossover.CrossoverESDefault;
 import eva2.optimization.operator.mutation.InterfaceMutation;
 import eva2.optimization.operator.mutation.MutateESGlobal;
@@ -24,7 +24,7 @@ public class ESIndividualDoubleData extends AbstractEAIndividual implements Inte
 
     public ESIndividualDoubleData() {
         this.mutationProbability = 1.0;
-        this.mutationOperator = new MutateESGlobal(0.2, MutateESCrossoverTypeEnum.intermediate);
+        this.mutationOperator = new MutateESGlobal(0.2, MutateESCrossoverType.intermediate);
         this.crossoverProbability = 0.5;
         this.crossoverOperator = new CrossoverESDefault();
         this.genotype = new double[1];

src/eva2/optimization/modules/GenericModuleAdapter.java

@@ -6,7 +6,7 @@ import eva2.gui.EvATabbedFrameMaker;
 import eva2.gui.JParaPanel;
 import eva2.gui.editor.GenericObjectEditor;
 import eva2.optimization.go.InterfaceOptimizationParameters;
-import eva2.optimization.stat.*;
+import eva2.optimization.statistics.*;
 
 import java.io.Serializable;
 

src/eva2/optimization/modules/ModuleAdapter.java

@@ -1,7 +1,7 @@
 package eva2.optimization.modules;
 import eva2.gui.EvATabbedFrameMaker;
 import eva2.optimization.OptimizationStateListener;
-import eva2.optimization.stat.OptimizationJob;
+import eva2.optimization.statistics.OptimizationJob;
 
 /**
  *

src/eva2/optimization/modules/Processor.java

@@ -15,12 +15,11 @@ import eva2.optimization.operator.terminators.InterfaceTerminator;
 import eva2.optimization.population.Population;
 import eva2.problems.AbstractOptimizationProblem;
 import eva2.problems.InterfaceAdditionalPopulationInformer;
-import eva2.optimization.stat.InterfaceStatistics;
+import eva2.optimization.statistics.InterfaceStatistics;
-import eva2.optimization.stat.InterfaceTextListener;
+import eva2.optimization.statistics.InterfaceTextListener;
-import eva2.optimization.stat.StatisticsWithGUI;
+import eva2.optimization.statistics.StatisticsWithGUI;
 import eva2.optimization.strategies.InterfaceOptimizer;
 import eva2.tools.EVAERROR;
-import eva2.tools.EVAHELP;
 import eva2.tools.StringTools;
 import eva2.tools.math.RNG;
 

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

@@ -1,6 +1,6 @@
 package eva2.optimization.operator.mutation;
 
-import eva2.optimization.enums.MutateESCrossoverTypeEnum;
+import eva2.optimization.enums.MutateESCrossoverType;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.individuals.InterfaceESIndividual;
 import eva2.optimization.population.Population;
@@ -19,7 +19,7 @@ public class MutateESGlobal implements InterfaceMutation, java.io.Serializable,
     protected double mutationStepSize = 0.2;
     protected double tau1 = 0.15;
     protected double lowerLimitStepSize = 0.0000005;
-    protected MutateESCrossoverTypeEnum crossoverType = MutateESCrossoverTypeEnum.none;
+    protected MutateESCrossoverType crossoverType = MutateESCrossoverType.none;
 
     public MutateESGlobal() {
     }
@@ -30,7 +30,7 @@ public class MutateESGlobal implements InterfaceMutation, java.io.Serializable,
      * @param mutationStepSize
      */
     public MutateESGlobal(double mutationStepSize) {
-        this(mutationStepSize, MutateESCrossoverTypeEnum.none);
+        this(mutationStepSize, MutateESCrossoverType.none);
     }
 
     /**
@@ -38,7 +38,7 @@ public class MutateESGlobal implements InterfaceMutation, java.io.Serializable,
      *
      * @param mutationStepSize
      */
-    public MutateESGlobal(double mutationStepSize, MutateESCrossoverTypeEnum coType) {
+    public MutateESGlobal(double mutationStepSize, MutateESCrossoverType coType) {
         setMutationStepSize(mutationStepSize);
         setCrossoverType(coType);
     }
@@ -133,7 +133,7 @@ public class MutateESGlobal implements InterfaceMutation, java.io.Serializable,
      */
     @Override
     public void crossoverOnStrategyParameters(AbstractEAIndividual indy1, Population partners) {
-        if (crossoverType != MutateESCrossoverTypeEnum.none) {
+        if (crossoverType != MutateESCrossoverType.none) {
             ArrayList<Double> tmpList = new ArrayList<>();
             if (indy1.getMutationOperator() instanceof MutateESGlobal) {
                 tmpList.add(new Double(((MutateESGlobal) indy1.getMutationOperator()).mutationStepSize));
@@ -266,11 +266,11 @@ public class MutateESGlobal implements InterfaceMutation, java.io.Serializable,
      *
      * @param d The mutation operator.
      */
-    public void setCrossoverType(MutateESCrossoverTypeEnum d) {
+    public void setCrossoverType(MutateESCrossoverType d) {
         this.crossoverType = d;
     }
 
-    public MutateESCrossoverTypeEnum getCrossoverType() {
+    public MutateESCrossoverType getCrossoverType() {
         return this.crossoverType;
     }
 

src/eva2/optimization/operator/postprocess/PostProcess.java

@@ -24,8 +24,8 @@ import eva2.optimization.operator.terminators.EvaluationTerminator;
 import eva2.optimization.operator.terminators.InterfaceTerminator;
 import eva2.optimization.population.Population;
 import eva2.problems.*;
-import eva2.optimization.stat.InterfaceTextListener;
+import eva2.optimization.statistics.InterfaceTextListener;
-import eva2.optimization.stat.StatisticsParameter;
+import eva2.optimization.statistics.StatisticsParameter;
 import eva2.optimization.strategies.EvolutionStrategies;
 import eva2.optimization.strategies.GradientDescentAlgorithm;
 import eva2.optimization.strategies.HillClimbing;

src/eva2/optimization/stat/MovingAverage.java

@@ -1,69 +0,0 @@
-package eva2.optimization.stat;
-
-
-/**
- *
- */
-public class MovingAverage {
-    private int size = 0;
-    private int index = 0;
-    private double average;
-    private double[] array;
-    private boolean overflow = false;
-
-    /**
-     *
-     */
-    public MovingAverage(int size) {
-        this.size = size;
-        array = new double[size];
-    }
-
-    /**
-     *
-     */
-    private MovingAverage(MovingAverage Source) {
-        size = Source.size;
-        index = Source.index;
-        average = Source.average;
-        array = Source.array.clone();
-        overflow = Source.overflow;
-    }
-
-    /**
-     *
-     */
-    public MovingAverage getClone() {
-        return new MovingAverage(this);
-    }
-
-    /**
-     *
-     */
-    public void add(double value) {
-        array[index] = value;
-        index++;
-        if (index == size) {
-            index = 0;
-            overflow = true;
-        }
-        //
-        average = 0;
-        int tail = index;
-        //if (overflow=true)
-        if (overflow) {
-            tail = size;
-        }
-        for (int i = 0; i < tail; i++) {
-            average += array[i];
-        }
-        average /= tail;
-    }
-
-    /**
-     *
-     */
-    public double getAverage() {
-        return average;
-    }
-}

src/eva2/optimization/stat/package-info.java

@@ -1 +0,0 @@
-package eva2.optimization.stat;

src/eva2/optimization/statistics/AbstractStatistics.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.gui.BeanInspector;
 import eva2.optimization.individuals.AbstractEAIndividual;

src/eva2/optimization/statistics/EvAStatisticalEvaluation.java

@@ -1,6 +1,8 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.gui.BeanInspector;
+import eva2.optimization.enums.StatisticsOnSingleDataSet;
+import eva2.optimization.enums.StatisticsOnTwoSampledData;
 import eva2.tools.ReflectPackage;
 import eva2.tools.math.Mathematics;
 
@@ -19,8 +21,8 @@ public class EvAStatisticalEvaluation {
 
 
     public static void evaluate(InterfaceTextListener textout, OptimizationJob[] jobList, int[] selectedIndices,
-                                StatsOnSingleDataSetEnum[] singleStats,
+                                StatisticsOnSingleDataSet[] singleStats,
-                                StatsOnTwoSampledDataEnum[] twoSampledStats) {
+                                StatisticsOnTwoSampledData[] twoSampledStats) {
         ArrayList<OptimizationJob> jobsToWorkWith = new ArrayList<>();
         for (int i = 0; i < jobList.length; i++) {
             // remove jobs which are not finished or not selected
@@ -71,22 +73,22 @@ public class EvAStatisticalEvaluation {
                     for (int i = 0; i < twoSampledStats.length; i++) {
                         switch (twoSampledStats[i]) {
                             case tTestEqLenEqVar:
-                                textout.println(StatsOnTwoSampledDataEnum.getInfoStrings()[twoSampledStats[i].ordinal()]);
+                                textout.println(StatisticsOnTwoSampledData.getInfoStrings()[twoSampledStats[i].ordinal()]);
                                 writeTwoSampleFirstLine(textout, jobsToWorkWith);
                                 writeTTestEqSizeEqVar(textout, jobsToWorkWith, field);
                                 break;
                             case tTestUneqLenEqVar:
-                                textout.println(StatsOnTwoSampledDataEnum.getInfoStrings()[twoSampledStats[i].ordinal()]);
+                                textout.println(StatisticsOnTwoSampledData.getInfoStrings()[twoSampledStats[i].ordinal()]);
                                 writeTwoSampleFirstLine(textout, jobsToWorkWith);
                                 writeUnEqSizeEqVar(textout, jobsToWorkWith, field);
                                 break;
                             case tTestUneqLenUneqVar:
-                                textout.println(StatsOnTwoSampledDataEnum.getInfoStrings()[twoSampledStats[i].ordinal()]);
+                                textout.println(StatisticsOnTwoSampledData.getInfoStrings()[twoSampledStats[i].ordinal()]);
                                 writeTwoSampleFirstLine(textout, jobsToWorkWith);
                                 writeTTestUnEqSizeUnEqVar(textout, jobsToWorkWith, field);
                                 break;
                             case mannWhitney:
-                                textout.println(StatsOnTwoSampledDataEnum.getInfoStrings()[twoSampledStats[i].ordinal()]);
+                                textout.println(StatisticsOnTwoSampledData.getInfoStrings()[twoSampledStats[i].ordinal()]);
                                 writeTwoSampleFirstLine(textout, jobsToWorkWith);
                                 writeMannWhitney(textout, jobsToWorkWith, field);
                             default:

src/eva2/optimization/statistics/EvAStatisticalEvaluationParams.java

@@ -1,5 +1,7 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
+import eva2.optimization.enums.StatisticsOnSingleDataSet;
+import eva2.optimization.enums.StatisticsOnTwoSampledData;
 import eva2.tools.StringSelection;
 
 import javax.swing.*;
@@ -9,8 +11,8 @@ import java.util.List;
 @eva2.util.annotation.Description(value = "Select statistical values to be calculated and tests to be performed.")
 public class EvAStatisticalEvaluationParams implements Serializable {
 
-    private StringSelection singleStats = new StringSelection(StatsOnSingleDataSetEnum.mean, StatsOnSingleDataSetEnum.getInfoStrings());
+    private StringSelection singleStats = new StringSelection(StatisticsOnSingleDataSet.mean, StatisticsOnSingleDataSet.getInfoStrings());
-    private StringSelection twoSampledStats = new StringSelection(StatsOnTwoSampledDataEnum.tTestUneqLenEqVar, StatsOnTwoSampledDataEnum.getInfoStrings());
+    private StringSelection twoSampledStats = new StringSelection(StatisticsOnTwoSampledData.tTestUneqLenEqVar, StatisticsOnTwoSampledData.getInfoStrings());
     private List<JButton> additionalButtons = null;
 
     public void setGenericAdditionalButtons(List<JButton> buts) {

src/eva2/optimization/statistics/GenericStatistics.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 
 import eva2.gui.plot.DataViewer;

src/eva2/optimization/statistics/GraphSelectionEnum.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.tools.StringSelection;
 

src/eva2/optimization/statistics/InterfaceStatistics.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.optimization.individuals.IndividualInterface;
 import eva2.optimization.population.Population;

src/eva2/optimization/statistics/InterfaceStatisticsListener.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import java.util.List;
 

src/eva2/optimization/statistics/InterfaceStatisticsParameter.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.tools.SelectedTag;
 import eva2.tools.StringSelection;

src/eva2/optimization/statistics/InterfaceTextListener.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 /**
  * A very simple interface class to receive raw String data.

src/eva2/optimization/statistics/OptimizationJob.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.gui.BeanInspector;
 import eva2.optimization.go.InterfaceOptimizationParameters;

src/eva2/optimization/statistics/OptimizationJobList.java

@@ -1,8 +1,10 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.gui.JParaPanel;
 import eva2.gui.PropertySelectableList;
 import eva2.gui.editor.GenericArrayEditor;
+import eva2.optimization.enums.StatisticsOnSingleDataSet;
+import eva2.optimization.enums.StatisticsOnTwoSampledData;
 import eva2.optimization.go.InterfaceOptimizationParameters;
 import eva2.optimization.modules.AbstractModuleAdapter;
 import eva2.optimization.modules.AbstractOptimizationParameters;
@@ -161,8 +163,8 @@ public class OptimizationJobList extends PropertySelectableList<OptimizationJob>
             @Override
             public void actionPerformed(ActionEvent e) {
                 EvAStatisticalEvaluation.evaluate(jobList, jobList.getObjects(), genericArrayEditor.getSelectedIndices(),
-                        (StatsOnSingleDataSetEnum[]) EvAStatisticalEvaluation.statsParams.getOneSampledStats().getSelectedEnum(StatsOnSingleDataSetEnum.values()),
+                        (StatisticsOnSingleDataSet[]) EvAStatisticalEvaluation.statsParams.getOneSampledStats().getSelectedEnum(StatisticsOnSingleDataSet.values()),
-                        (StatsOnTwoSampledDataEnum[]) EvAStatisticalEvaluation.statsParams.getTwoSampledStats().getSelectedEnum(StatsOnTwoSampledDataEnum.values()));
+                        (StatisticsOnTwoSampledData[]) EvAStatisticalEvaluation.statsParams.getTwoSampledStats().getSelectedEnum(StatisticsOnTwoSampledData.values()));
             }
         };
         ActionListener sl = new ActionListener() {

src/eva2/optimization/statistics/StatisticsDummy.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.individuals.IndividualInterface;
@@ -12,13 +12,11 @@ import java.util.List;
 /**
  * This may be given to a Processor if no further stats are required. It speeds up
  * optimization especially with small populations (e.g. HC as local search operator).
- *
- * @author mkron
  */
 public class StatisticsDummy implements InterfaceStatistics, InterfaceTextListener {
-    boolean consoleOut = false;
+    private boolean consoleOut = false;
-    StatisticsParameter sParams = null;
+    private StatisticsParameter sParams = null;
-    AbstractEAIndividual bestCurrentIndividual, bestRunIndy, bestIndividualAllover;
+    private AbstractEAIndividual bestCurrentIndividual, bestRunIndy, bestIndividualAllover;
 
     public StatisticsDummy() {
         bestIndividualAllover = null;

src/eva2/optimization/statistics/StatisticsParameter.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.gui.BeanInspector;
 import eva2.gui.editor.GenericObjectEditor;
@@ -42,8 +42,8 @@ public class StatisticsParameter implements InterfaceStatisticsParameter, Interf
     public final static int OUTPUT_WINDOW = 1;
     public final static int OUTPUT_FILE_WINDOW = 2;
     SelectedTag outputTo = new SelectedTag("File (current dir.)", "Text-window", "Both file and text-window");
-    private int verboK = 10;
+    private int verbosityK = 10;
-    private int textoutput = 0;
+    private int textOutput = 0;
     private int multiRuns = 1;
     private String resultFilePrefix = "EvA2";
     protected String name = "not defined";
@@ -98,7 +98,7 @@ public class StatisticsParameter implements InterfaceStatisticsParameter, Interf
     @Override
     public String toString() {
         String ret = "\r\nStatisticsParameter (" + super.toString() + "):\r\nmultiRuns=" + multiRuns
-                + ", textoutput=" + textoutput
+                + ", textOutput=" + textOutput
                 + ", verbosity= " + outputVerbosity.getSelectedString()
                 + "\nTo " + outputTo.getSelectedString()
                 + ", " + BeanInspector.toString(graphSel.getStrings());
@@ -121,13 +121,13 @@ public class StatisticsParameter implements InterfaceStatisticsParameter, Interf
     /**
      *
      */
-    private StatisticsParameter(StatisticsParameter Source) {
+    private StatisticsParameter(StatisticsParameter statisticsParameter) {
-        convergenceRateThreshold = Source.convergenceRateThreshold;
+        convergenceRateThreshold = statisticsParameter.convergenceRateThreshold;
-        useStatPlot = Source.useStatPlot;
+        useStatPlot = statisticsParameter.useStatPlot;
-        textoutput = Source.textoutput;
+        textOutput = statisticsParameter.textOutput;
-        multiRuns = Source.multiRuns;
+        multiRuns = statisticsParameter.multiRuns;
-        resultFilePrefix = Source.resultFilePrefix;
+        resultFilePrefix = statisticsParameter.resultFilePrefix;
-        verboK = Source.verboK;
+        verbosityK = statisticsParameter.verbosityK;
     }
 
     /**
@@ -173,7 +173,7 @@ public class StatisticsParameter implements InterfaceStatisticsParameter, Interf
      *
      */
     public String infoStringTipText() {
-        return "Infostring displayed on fitness graph by prssing the right mouse button.";
+        return "Infostring displayed on fitness graph by pressing the right mouse button.";
     }
 
     /**
@@ -232,12 +232,6 @@ public class StatisticsParameter implements InterfaceStatisticsParameter, Interf
         return outputTo.getSelectedTagID() > 0;
     }
 
-    //	/**
-//	*
-//	*/
-//	public String resultFileNameTipText() {
-//	return "File name for the result file. If empty or 'none', no output file will be created.";
-//	}
     public String convergenceRateThresholdTipText() {
         return "Provided the optimal fitness is at zero, give the threshold below which it is considered as 'reached'";
     }
@@ -298,12 +292,12 @@ public class StatisticsParameter implements InterfaceStatisticsParameter, Interf
 
     @Override
     public int getOutputVerbosityK() {
-        return verboK;
+        return verbosityK;
     }
 
     @Override
     public void setOutputVerbosityK(int k) {
-        verboK = k;
+        verbosityK = k;
     }
 
     public String outputVerbosityKTipText() {
@@ -371,16 +365,12 @@ public class StatisticsParameter implements InterfaceStatisticsParameter, Interf
                     infoFields.add(null);
                 }
             }
-//			header += inf.getAdditionalDataHeader(null); // lets hope this works with a null 
         }
         // create additional fields to be selectable by the user, defined by the informer headers
-//		StringSelection ss = new StringSelection(GraphSelectionEnum.getAndAppendArray(headerFields.toArray(new String[headerFields.size()])));
         StringSelection ss = new StringSelection(GraphSelectionEnum.currentBest, GraphSelectionEnum.getInfoStrings(),
                 headerFields, infoFields.toArray(new String[infoFields.size()]));
         ss.takeOverSelection(graphSel);
-//		System.out.println("In " + this + ": setting new informers: " + BeanInspector.toString(ss.getStrings()));
         // This works!
         setFieldSelection(ss);
-//		System.out.println("After: " + this);
     }
 }

src/eva2/optimization/statistics/StatisticsStandalone.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.optimization.population.PopulationInterface;
 import eva2.problems.InterfaceAdditionalPopulationInformer;
@@ -80,7 +80,6 @@ public class StatisticsStandalone extends AbstractStatistics implements Interfac
         double[] specificData = pop.getSpecificData();
         if (specificData != null) {
             for (int i = 0; i < specificData.length; i++) {
-//				((ArrayList<Object[]>[]) resultFrame.get(i))[optRunsPerformed].add(new Double[] {new Double(functionCalls), specificData[i]});
                 resultData.get(optRunsPerformed).add(new Object[]{new Double(functionCalls), specificData});
             }
         }

src/eva2/optimization/statistics/StatisticsWithGUI.java

@@ -1,4 +1,4 @@
-package eva2.optimization.stat;
+package eva2.optimization.statistics;
 
 import eva2.gui.BeanInspector;
 import eva2.gui.JTextoutputFrame;

src/eva2/optimization/statistics/package-info.java

@@ -0,0 +1 @@
+package eva2.optimization.statistics;

src/eva2/optimization/strategies/ANPSO.java

@@ -2,7 +2,7 @@ package eva2.optimization.strategies;
 
 import eva2.OptimizerFactory;
 import eva2.gui.editor.GenericObjectEditor;
-import eva2.optimization.enums.PSOTopologyEnum;
+import eva2.optimization.enums.PSOTopology;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.individuals.InterfaceDataTypeDouble;
 import eva2.optimization.modules.OptimizationParameters;
@@ -126,7 +126,7 @@ public class ANPSO extends NichePSO implements InterfaceOptimizer, InterfaceAddi
 //		setMainSwarmInertness(new NoParameterAging(0.7298437881283576));
         setMainSwarmAlgoType(getMainSwarm().getAlgoType().setSelectedTag("Constriction")); // constriction
         setMaxInitialSubSwarmSize(0); // deactivate early reinits
-        setMainSwarmTopology(PSOTopologyEnum.grid);
+        setMainSwarmTopology(PSOTopology.grid);
         setMainSwarmTopologyRange(1);
         setDeactivationStrategy(new StandardDeactivationStrategy(0.000001, 8));
         setMainSwarmSize(100);
@@ -154,7 +154,7 @@ public class ANPSO extends NichePSO implements InterfaceOptimizer, InterfaceAddi
 		initMainSwarm();
 	}*/
 
-    public ANPSO(int mainSwarmSize, double phi1, double phi2, PSOTopologyEnum mainSwarmTopo, int mainSwarmTopoRange, int maxInitialSubSwarmSize) {
+    public ANPSO(int mainSwarmSize, double phi1, double phi2, PSOTopology mainSwarmTopo, int mainSwarmTopoRange, int maxInitialSubSwarmSize) {
         this();
         setMainSwarmSize(mainSwarmSize);
         getMainSwarm().setPhi1(phi1);
@@ -177,7 +177,7 @@ public class ANPSO extends NichePSO implements InterfaceOptimizer, InterfaceAddi
         GenericObjectEditor.setHideProperty(getClass(), "mergingStrategy", true);
         GenericObjectEditor.setHideProperty(getClass(), "absorptionStrategy", true);
         GenericObjectEditor.setHideProperty(getClass(), "maxAllowedSwarmRadius", true);
-        GenericObjectEditor.setHideProperty(getClass(), "mainSwarmTopologyRange", mainSwarmTopology == PSOTopologyEnum.multiSwarm); // "Multi-Swarm" has no topologyRange
+        GenericObjectEditor.setHideProperty(getClass(), "mainSwarmTopologyRange", mainSwarmTopology == PSOTopology.multiSwarm); // "Multi-Swarm" has no topologyRange
 
         // population size is set via setMainSwarmSize
         GenericObjectEditor.setHideProperty(getClass(), "population", true);
@@ -614,7 +614,7 @@ public class ANPSO extends NichePSO implements InterfaceOptimizer, InterfaceAddi
         // createSubswarmIfPossible();
 
         // adapt the species radius of the SPSO using similar population statistics as for the radius parameter r
-        if ((mainSwarm.getTopology() == PSOTopologyEnum.multiSwarm) && (mainSwarm.getMaxSubSwarmSize() > 1)) { //Multi-Swarm
+        if ((mainSwarm.getTopology() == PSOTopology.multiSwarm) && (mainSwarm.getMaxSubSwarmSize() > 1)) { //Multi-Swarm
             double aveDistToNeighInMain = getMainSwarm().getPopulation().getAvgDistToClosestNeighbor(true, false)[0];
             getMainSwarm().setSubSwarmRadius(aveDistToNeighInMain);
         }
@@ -907,7 +907,7 @@ public class ANPSO extends NichePSO implements InterfaceOptimizer, InterfaceAddi
         anpso.getMainSwarm().setInertnessOrChi(0.7298437881283576);
         anpso.setMainSwarmAlgoType(anpso.getMainSwarm().getAlgoType().setSelectedTag("Constriction")); // constriction
         anpso.setMaxInitialSubSwarmSize(0); // deactivate early reinits
-        anpso.setMainSwarmTopology(PSOTopologyEnum.grid);
+        anpso.setMainSwarmTopology(PSOTopology.grid);
         anpso.setMainSwarmTopologyRange(1);
         anpso.setDeactivationStrategy(new StandardDeactivationStrategy(0.000001, 8));
 

src/eva2/optimization/strategies/CBNPSO.java

@@ -1,6 +1,6 @@
 package eva2.optimization.strategies;
 
-import eva2.optimization.enums.PSOTopologyEnum;
+import eva2.optimization.enums.PSOTopology;
 import eva2.optimization.operator.cluster.ClusteringDensityBased;
 import eva2.optimization.operator.distancemetric.IndividualDataMetric;
 import eva2.optimization.operator.paramcontrol.CbpsoFitnessThresholdBasedAdaption;
@@ -53,7 +53,7 @@ public class CBNPSO extends ClusterBasedNichingEA implements Serializable {
         setEpsilonBound(epsilonConv);
         setHaltingWindow(haltingWindow);
         setMaxSpeciesSize(maxSpecSize);
-        setOptimizer(new ParticleSwarmOptimization(popSize, 2.05, 2.05, PSOTopologyEnum.grid, 2));
+        setOptimizer(new ParticleSwarmOptimization(popSize, 2.05, 2.05, PSOTopology.grid, 2));
         ParamAdaption[] defAdpt = new ParamAdaption[]{getDefaultSinusoidalAdaption()};
         setParameterControl(defAdpt);
         if (threshAdaption) {

src/eva2/optimization/strategies/DifferentialEvolution.java

@@ -2,7 +2,6 @@ package eva2.optimization.strategies;
 
 import eva2.gui.BeanInspector;
 import eva2.gui.editor.GenericObjectEditor;
-import eva2.optimization.enums.DETypeEnum;
 import eva2.optimization.go.InterfacePopulationChangedEventListener;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.individuals.InterfaceDataTypeDouble;
@@ -41,7 +40,7 @@ public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serial
     protected AbstractOptimizationProblem optimizationProblem = new F1Problem();
 
     @Parameter(name = "DEType", description = "Mutation type for DE")
-    private DETypeEnum DEType;
+    private eva2.optimization.enums.DEType DEType;
 
     @Parameter(name = "F", description = "Differential Weight")
     private double differentialWeight = 0.8;
@@ -71,10 +70,10 @@ public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serial
      */
     public DifferentialEvolution() {
         // sets DE2 as default
-        DEType = DETypeEnum.DE2_CurrentToBest;
+        DEType = eva2.optimization.enums.DEType.DE2_CurrentToBest;
     }
 
-    public DifferentialEvolution(int popSize, DETypeEnum type, double f, double cr, double lambda, double mt) {
+    public DifferentialEvolution(int popSize, eva2.optimization.enums.DEType type, double f, double cr, double lambda, double mt) {
         population = new Population(popSize);
         DEType = type;
         differentialWeight = f;
@@ -865,14 +864,14 @@ public class DifferentialEvolution implements InterfaceOptimizer, java.io.Serial
      *
      * @param s The type.
      */
-    public void setDEType(DETypeEnum s) {
+    public void setDEType(eva2.optimization.enums.DEType s) {
         this.DEType = s;
         // show mt for trig. DE only
-        GenericObjectEditor.setShowProperty(this.getClass(), "lambda", s == DETypeEnum.DE2_CurrentToBest);
+        GenericObjectEditor.setShowProperty(this.getClass(), "lambda", s == eva2.optimization.enums.DEType.DE2_CurrentToBest);
-        GenericObjectEditor.setShowProperty(this.getClass(), "mt", s == DETypeEnum.TrigonometricDE);
+        GenericObjectEditor.setShowProperty(this.getClass(), "mt", s == eva2.optimization.enums.DEType.TrigonometricDE);
     }
 
-    public DETypeEnum getDEType() {
+    public eva2.optimization.enums.DEType getDEType() {
         return this.DEType;
     }
 

src/eva2/optimization/strategies/NichePSO.java

@@ -3,7 +3,7 @@ package eva2.optimization.strategies;
 import eva2.OptimizerFactory;
 import eva2.gui.editor.GenericObjectEditor;
 import eva2.gui.plot.TopoPlot;
-import eva2.optimization.enums.PSOTopologyEnum;
+import eva2.optimization.enums.PSOTopology;
 import eva2.optimization.go.InterfacePopulationChangedEventListener;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.individuals.InterfaceDataTypeDouble;
@@ -92,7 +92,7 @@ public class NichePSO implements InterfaceAdditionalPopulationInformer, Interfac
     // Parameter for the mainswarm
 //	protected double mainSwarmPhi1 = 1.2;
 //	protected double mainSwarmPhi2 = 0; // by default no communication in the mainswarm
-    protected PSOTopologyEnum mainSwarmTopology = PSOTopologyEnum.grid; // = 1; 
+    protected PSOTopology mainSwarmTopology = PSOTopology.grid; // = 1;
     protected int mainSwarmTopologyRange = 0;
     private int mainSwarmAlgoType = 0; // 0: inertness, 1: constriction
     //	private InterfaceParameterAging mainSwarmParamAging = new LinearParameterAging();
@@ -1014,10 +1014,10 @@ public class NichePSO implements InterfaceAdditionalPopulationInformer, Interfac
 //	}
     public void SetMainSwarmTopologyTag(int mainSwarmTopologyTag) {
         // Possible topologies are: "Linear", "Grid", "Star", "Multi-Swarm", "Tree", "HPSO", "Random"  in that order starting by 0.
-        this.mainSwarmTopology = PSOTopologyEnum.getFromId(mainSwarmTopologyTag);
+        this.mainSwarmTopology = PSOTopology.getFromId(mainSwarmTopologyTag);
     }
 
-    public PSOTopologyEnum getMainSwarmTopology() {
+    public PSOTopology getMainSwarmTopology() {
         return mainSwarm.topology;
     }
 
@@ -1026,10 +1026,10 @@ public class NichePSO implements InterfaceAdditionalPopulationInformer, Interfac
      *
      * @param t The type.
      */
-    public void setMainSwarmTopology(PSOTopologyEnum t) {
+    public void setMainSwarmTopology(PSOTopology t) {
         mainSwarm.topology = t;
         this.mainSwarmTopology = t;
-        GenericObjectEditor.setHideProperty(getClass(), "mainSwarmTopologyRange", mainSwarmTopology == PSOTopologyEnum.multiSwarm); // "Multi-Swarm" has no topologyRange
+        GenericObjectEditor.setHideProperty(getClass(), "mainSwarmTopologyRange", mainSwarmTopology == PSOTopology.multiSwarm); // "Multi-Swarm" has no topologyRange
     }
 
     public int getMainSwarmTopologyRange() {

src/eva2/optimization/strategies/ParticleSwarmOptimization.java

@@ -4,7 +4,7 @@ import eva2.gui.BeanInspector;
 import eva2.gui.editor.GenericObjectEditor;
 import eva2.gui.plot.Plot;
 import eva2.gui.plot.TopoPlot;
-import eva2.optimization.enums.PSOTopologyEnum;
+import eva2.optimization.enums.PSOTopology;
 import eva2.optimization.go.InterfacePopulationChangedEventListener;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.individuals.AbstractEAIndividualComparator;
@@ -53,7 +53,7 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
     protected boolean checkRange = true;
     protected boolean checkSpeedLimit = false;
     protected boolean useAlternative = false;
-    protected PSOTopologyEnum topology = PSOTopologyEnum.grid;
+    protected PSOTopology topology = PSOTopology.grid;
     /**
      * Defines which version of PSO is applied, classical inertness or
      * constriction (using chi)
@@ -110,7 +110,7 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
 //	private double lsCandidateRatio=0.25;
 
     public ParticleSwarmOptimization() {
-        topology = PSOTopologyEnum.grid;
+        topology = PSOTopology.grid;
         algType = new SelectedTag("Inertness", "Constriction");
         algType.setSelectedTag(1);
 
@@ -145,7 +145,7 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
      * @param topo      type of the neighbourhood topology
      * @param topoRange range of the neighbourhood topology
      */
-    public ParticleSwarmOptimization(int popSize, double p1, double p2, PSOTopologyEnum topo, int topoRange) {
+    public ParticleSwarmOptimization(int popSize, double p1, double p2, PSOTopology topo, int topoRange) {
         this();
         algType.setSelectedTag(1); // set to constriction
         population = new Population(popSize);
@@ -454,7 +454,7 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
 
         treeLevels = 0;
         // the HPSO tree will contain layers 0...HPSOLevels, the last one is "incomplete" with only HPSOOrphans number of nodes
-        if (getTopology() == PSOTopologyEnum.hpso || getTopology() == PSOTopologyEnum.tree) {
+        if (getTopology() == PSOTopology.hpso || getTopology() == PSOTopology.tree) {
             if (topologyRange < 2) {
                 System.err.println("Error, tree/hpso requires topology range of at least 2!");
             } else {
@@ -465,7 +465,7 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
                 treeLastFullLevelNodeCnt = (int) Math.pow(topologyRange, treeLevels - 1);
             }
         }
-        if (getTopology() == PSOTopologyEnum.dms) {
+        if (getTopology() == PSOTopology.dms) {
             dmsLinks = regroupSwarm(population, getTopologyRange());
         }
     }
@@ -1310,21 +1310,21 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
     }
 
     protected void updateTopology(Population pop) {
-        if (topology == PSOTopologyEnum.dms) { // Dynamic multi-swarm after Liang & Suganthan
+        if (topology == PSOTopology.dms) { // Dynamic multi-swarm after Liang & Suganthan
             if (pop.getGeneration() % getDmsRegroupGens() == 0) {
                 dmsLinks = regroupSwarm(pop, getTopologyRange());
             }
         }
-        if ((topology == PSOTopologyEnum.multiSwarm) || (topology == PSOTopologyEnum.tree)) {
+        if ((topology == PSOTopology.multiSwarm) || (topology == PSOTopology.tree)) {
             sortedPop = pop.toArray();
-            if ((topology == PSOTopologyEnum.multiSwarm) || (treeStruct >= 2)) {
+            if ((topology == PSOTopology.multiSwarm) || (treeStruct >= 2)) {
                 Arrays.sort(sortedPop, new AbstractEAIndividualComparator());
             } else {
                 Arrays.sort(sortedPop, new AbstractEAIndividualComparator(partBestFitKey));
             }
             addSortedIndicesTo(sortedPop, pop);
         }
-        if (topology == PSOTopologyEnum.multiSwarm) {
+        if (topology == PSOTopology.multiSwarm) {
             // prepare multi swarm topology
             PhenotypeMetric metric = new PhenotypeMetric();
             Vector<AbstractEAIndividual> leaders = new Vector<>(pop.size());
@@ -1378,7 +1378,7 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
 //			}
             //System.out.println(" -- best " + population.indexOf(population.getBestEAIndividual()));
         }
-        if (topology == PSOTopologyEnum.hpso) { // HPSO sorting the population
+        if (topology == PSOTopology.hpso) { // HPSO sorting the population
             int parentIndex;
             AbstractEAIndividual indy;
             AbstractEAIndividualComparator comp = new AbstractEAIndividualComparator(partBestFitKey);
@@ -1756,7 +1756,7 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
      *
      * @param s The type.
      */
-    public void setTopology(PSOTopologyEnum t) {
+    public void setTopology(PSOTopology t) {
         this.topology = t;
         setGOEShowProperties(getClass());
     }
@@ -1764,22 +1764,22 @@ public class ParticleSwarmOptimization implements InterfaceOptimizer, java.io.Se
     public void setGOEShowProperties(Class<?> cls) {
 
         // linear, grid, random
-        GenericObjectEditor.setShowProperty(cls, "topologyRange", (topology == PSOTopologyEnum.linear) || (topology == PSOTopologyEnum.grid) || (topology == PSOTopologyEnum.random) || (topology == PSOTopologyEnum.tree) || (topology == PSOTopologyEnum.hpso) || (topology == PSOTopologyEnum.dms));
+        GenericObjectEditor.setShowProperty(cls, "topologyRange", (topology == PSOTopology.linear) || (topology == PSOTopology.grid) || (topology == PSOTopology.random) || (topology == PSOTopology.tree) || (topology == PSOTopology.hpso) || (topology == PSOTopology.dms));
         // multi swarm
-        GenericObjectEditor.setShowProperty(cls, "subSwarmRadius", (topology == PSOTopologyEnum.multiSwarm));
+        GenericObjectEditor.setShowProperty(cls, "subSwarmRadius", (topology == PSOTopology.multiSwarm));
         // multi swarm
-        GenericObjectEditor.setShowProperty(cls, "maxSubSwarmSize", (topology == PSOTopologyEnum.multiSwarm));
+        GenericObjectEditor.setShowProperty(cls, "maxSubSwarmSize", (topology == PSOTopology.multiSwarm));
         // tree
-        GenericObjectEditor.setShowProperty(cls, "treeStruct", (topology == PSOTopologyEnum.tree));
+        GenericObjectEditor.setShowProperty(cls, "treeStruct", (topology == PSOTopology.tree));
         // tree, hpso
 //		GenericObjectEditor.setShowProperty(cls, "treeBranchDegree", (topology==PSOTopologyEnum.tree) || (topology==PSOTopologyEnum.hpso));
         // linear
-        GenericObjectEditor.setShowProperty(cls, "wrapTopology", (topology == PSOTopologyEnum.linear) || (topology == PSOTopologyEnum.grid));
+        GenericObjectEditor.setShowProperty(cls, "wrapTopology", (topology == PSOTopology.linear) || (topology == PSOTopology.grid));
         // dms
-        GenericObjectEditor.setShowProperty(cls, "dmsRegroupGens", (topology == PSOTopologyEnum.dms));
+        GenericObjectEditor.setShowProperty(cls, "dmsRegroupGens", (topology == PSOTopology.dms));
     }
 
-    public PSOTopologyEnum getTopology() {
+    public PSOTopology getTopology() {
         return topology;
     }
 

src/eva2/optimization/strategies/SqPSO.java

@@ -1,6 +1,6 @@
 package eva2.optimization.strategies;
 
-import eva2.optimization.enums.PSOTopologyEnum;
+import eva2.optimization.enums.PSOTopology;
 import eva2.optimization.operator.cluster.ClusteringDensityBased;
 import eva2.optimization.operator.distancemetric.IndividualDataMetric;
 import eva2.optimization.operator.paramcontrol.ParamAdaption;
@@ -27,7 +27,7 @@ public class SqPSO extends ClusterBasedNichingEA {
         setEpsilonBound(epsilonConv);
         setHaltingWindow(haltingWindow);
         setMaxSpeciesSize(popSize);
-        setOptimizer(new ParticleSwarmOptimization(popSize, 2.05, 2.05, PSOTopologyEnum.grid, 2));
+        setOptimizer(new ParticleSwarmOptimization(popSize, 2.05, 2.05, PSOTopology.grid, 2));
         ParamAdaption[] defAdpt = new ParamAdaption[]{};
         setParameterControl(defAdpt);
         setPopulationSize(popSize);

src/eva2/problems/ERPStarter.java

@@ -14,7 +14,7 @@ import eva2.optimization.operator.selection.SelectBestIndividuals;
 import eva2.optimization.operator.terminators.EvaluationTerminator;
 import eva2.optimization.population.InterfaceSolutionSet;
 import eva2.optimization.population.Population;
-import eva2.optimization.stat.StatisticsStandalone;
+import eva2.optimization.statistics.StatisticsStandalone;
 import eva2.optimization.strategies.GeneticAlgorithm;
 import eva2.optimization.strategies.InterfaceOptimizer;
 import eva2.tools.BasicResourceLoader;

src/eva2/problems/MatlabProblem.java

@@ -13,7 +13,7 @@ import eva2.optimization.operator.terminators.PopulationMeasureTerminator.Change
 import eva2.optimization.operator.terminators.PopulationMeasureTerminator.DirectionTypeEnum;
 import eva2.optimization.operator.terminators.PopulationMeasureTerminator.StagnationTypeEnum;
 import eva2.optimization.population.Population;
-import eva2.optimization.stat.InterfaceTextListener;
+import eva2.optimization.statistics.InterfaceTextListener;
 import eva2.optimization.strategies.InterfaceOptimizer;
 import eva2.util.annotation.Description;