Rename init method to initialize and fix a bug for SBMLsimulator interop

src/eva2/gui/Main.java

@@ -2,6 +2,7 @@ package eva2.gui;
 
 import eva2.EvAInfo;
 import eva2.optimization.modules.*;
+import eva2.problems.InterfaceOptimizationProblem;
 import eva2.util.ClassPreloader;
 import eva2.util.EvAComAdapter;
 import eva2.optimization.OptimizationStateListener;
@@ -775,7 +776,11 @@ public class Main extends JFrame implements OptimizationStateListener {
         ModuleAdapter newModuleAdapter = null;
         //
         try {
-            newModuleAdapter = new GOModuleAdapter(selectedModule, OptimizationParameters.getInstance(), withGUI ? null : "EvA2");
+            InterfaceOptimizationParameters params = optimizationParameters;
+            if (optimizationParameters == null) {
+                params = OptimizationParameters.getInstance();
+            }
+            newModuleAdapter = new GOModuleAdapter(selectedModule, params, withGUI ? null : "EvA2");
             //newModuleAdapter = comAdapter.getModuleAdapter(selectedModule, optimizationParameters, withGUI ? null : "EvA2");
         } catch (Exception e) {
             LOGGER.log(Level.SEVERE, "Error loading module.", e);

src/eva2/optimization/individuals/AbstractEAIndividual.java

@@ -120,7 +120,7 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
     public void initCloneOperators(InterfaceMutation mutOp, double pMut, InterfaceCrossover coOp, double pCross, InterfaceOptimizationProblem problem) {
         mutationProbability = pMut;
         mutationOperator = (InterfaceMutation) mutOp.clone();
-        mutationOperator.init(this, problem);
+        mutationOperator.initialize(this, problem);
         crossoverProbability = pCross;
         crossoverOperator = (InterfaceCrossover) coOp.clone();
         crossoverOperator.init(this, problem);
@@ -277,7 +277,7 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
      */
     public void init(InterfaceOptimizationProblem opt) {
         initializationOperator.initialize(this, opt);
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/ESIndividualBinaryData.java

@@ -217,7 +217,7 @@ public class ESIndividualBinaryData extends AbstractEAIndividual implements Inte
             this.defaultInit(opt);
             System.out.println("Initial value for ESIndividualBinaryData is no BitSet!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/ESIndividualDoubleData.java

@@ -271,7 +271,7 @@ public class ESIndividualDoubleData extends AbstractEAIndividual implements Inte
             this.defaultInit(opt);
             System.out.println("Initial value for ESIndividualDoubleData is not double[]!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/ESIndividualIntegerData.java

@@ -240,7 +240,7 @@ public class ESIndividualIntegerData extends AbstractEAIndividual implements Int
             this.defaultInit(opt);
             System.out.println("Initial value for ESIndividualIntegerData is not int[]!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/ESIndividualPermutationData.java

@@ -260,7 +260,7 @@ public class ESIndividualPermutationData extends AbstractEAIndividual implements
             this.defaultInit(opt);
             System.out.println("Initial value for ESIndividualPermutationData is not int[]!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/GAIndividualBinaryData.java

@@ -122,7 +122,7 @@ public class GAIndividualBinaryData extends AbstractEAIndividual implements Inte
             this.defaultInit(opt);
             System.out.println("Initial value for GAIndividualBinaryData is no BitSet!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/GAIndividualDoubleData.java

@@ -252,7 +252,7 @@ public class GAIndividualDoubleData extends AbstractEAIndividual implements Inte
             this.defaultInit(opt);
             System.out.println("Initial value for GAIndividualDoubleData is not double[]!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/GAIndividualIntegerData.java

@@ -286,7 +286,7 @@ public class GAIndividualIntegerData extends AbstractEAIndividual implements Int
             this.defaultInit(opt);
             System.out.println("Initial value for GAIndividualDoubleData is not double[]!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/GEIndividualProgramData.java

@@ -595,7 +595,7 @@ public class GEIndividualProgramData extends AbstractEAIndividual implements Int
             this.defaultInit(opt);
             System.out.println("Initial value for GPIndividualDoubleData is no InterfaceProgram[]!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/GIIndividualIntegerData.java

@@ -240,7 +240,7 @@ public class GIIndividualIntegerData extends AbstractEAIndividual implements Int
             this.defaultInit(opt);
             System.out.println("Initial value for GAIndividualDoubleData is not double[]!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/GPIndividualProgramData.java

@@ -241,7 +241,7 @@ public class GPIndividualProgramData extends AbstractEAIndividual implements Int
             this.defaultInit(opt);
             System.out.println("Initial value for GPIndividualDoubleData is no InterfaceProgram[]!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

src/eva2/optimization/individuals/OBGAIndividualPermutationData.java

@@ -105,7 +105,7 @@ public class OBGAIndividualPermutationData extends AbstractEAIndividual implemen
             this.defaultInit(opt);
             System.out.println("Initial value for OBGAIndividualBinaryData is no Permutation!");
         }
-        this.mutationOperator.init(this, opt);
+        this.mutationOperator.initialize(this, opt);
         this.crossoverOperator.init(this, opt);
     }
 

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

@@ -23,7 +23,7 @@ public interface InterfaceMutation {
      * @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);
 
     /**
      * This method will mutate a given AbstractEAIndividual. If the individual

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

@@ -41,7 +41,7 @@ public class MutateDefault implements InterfaceMutation, java.io.Serializable {
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -108,10 +108,10 @@ public class MutateEAMixer implements InterfaceMutation, java.io.Serializable {
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         InterfaceMutation[] mutators = this.mutationMixer.getSelectedMutators();
         for (int i = 0; i < mutators.length; i++) {
-            mutators[i].init(individual, opt);
+            mutators[i].initialize(individual, opt);
         }
     }
 

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

@@ -96,7 +96,7 @@ public class MutateESCorrVector implements InterfaceMutation, java.io.Serializab
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         double[] initVelocity = calcInitialVel(initialVelocity, ((InterfaceESIndividual) individual).getDoubleRange());
         individual.putData(vectorKey, initVelocity);
     }

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

@@ -10,7 +10,7 @@ import eva2.util.annotation.Description;
 /**
  */
 @Description("The local correlated mutation stores n sigmas for each double attribute and n(n-1) alphas.")
-public class MutateESCorrolated implements InterfaceMutation, java.io.Serializable {
+public class MutateESCorrelated implements InterfaceMutation, java.io.Serializable {
     protected double mutationStepSize = 0.2;
     protected double tau1 = 0.15;
     protected double lowerLimitStepSize = 0.0000005;
@@ -19,12 +19,12 @@ public class MutateESCorrolated implements InterfaceMutation, java.io.Serializab
     private double[] alphas = null;
     protected double tau2 = 0.15;
 
-    public MutateESCorrolated() {
+    public MutateESCorrelated() {
         this.sigmas = null;
         this.alphas = null;
     }
 
-    public MutateESCorrolated(MutateESCorrolated mutator) {
+    public MutateESCorrelated(MutateESCorrelated mutator) {
         if ((mutator.sigmas != null)) {
             this.sigmas = new double[mutator.sigmas.length];
             System.arraycopy(mutator.sigmas, 0, this.sigmas, 0, this.sigmas.length);
@@ -49,7 +49,7 @@ public class MutateESCorrolated implements InterfaceMutation, java.io.Serializab
      */
     @Override
     public Object clone() {
-        return new MutateESCorrolated(this);
+        return new MutateESCorrelated(this);
     }
 
     /**
@@ -63,8 +63,8 @@ public class MutateESCorrolated implements InterfaceMutation, java.io.Serializab
         if (mutator == this) {
             return true;
         }
-        if (mutator instanceof MutateESCorrolated) {
-            MutateESCorrolated mut = (MutateESCorrolated) mutator;
+        if (mutator instanceof MutateESCorrelated) {
+            MutateESCorrelated mut = (MutateESCorrelated) mutator;
             if (this.tau1 != mut.tau1) {
                 return false;
             }
@@ -105,7 +105,7 @@ public class MutateESCorrolated implements InterfaceMutation, java.io.Serializab
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         if (individual instanceof InterfaceESIndividual) {
             double[] x = ((InterfaceESIndividual) individual).getDGenotype();
             if (this.sigmas == null) {

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

@@ -140,7 +140,7 @@ public class MutateESCovarianceMatrixAdaption implements InterfaceMutation, java
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         if (!(individual instanceof InterfaceESIndividual)) {
             return;
         }

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

@@ -50,13 +50,13 @@ public class MutateESCovarianceMatrixAdaptionPlus extends
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual,
-                     InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual,
+                           InterfaceOptimizationProblem opt) {
 
         if (!(individual instanceof InterfaceESIndividual)) {
             return;
         }
-        super.init(individual, opt);
+        super.initialize(individual, opt);
         psuccesstarget = 1.0 / (5 + Math.sqrt(lambda) / 2);
         psuccess = psuccesstarget;
         stepd = 1.0 + D / (2.0 * lambda);

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

@@ -57,7 +57,7 @@ public class MutateESFixedStepSize implements InterfaceMutation, java.io.Seriali
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -91,7 +91,7 @@ public class MutateESGlobal implements InterfaceMutation, java.io.Serializable,
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -102,7 +102,7 @@ public class MutateESLocal implements InterfaceMutation, InterfaceAdditionalPopu
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         if (individual instanceof InterfaceESIndividual) {
             // initialize the Sigmas
             this.sigmas = new double[((InterfaceESIndividual) individual).getDGenotype().length];

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

@@ -107,7 +107,7 @@ public class MutateESMainVectorAdaption implements InterfaceMutation, java.io.Se
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         if (!(individual instanceof InterfaceESIndividual)) {
             return;
         }

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

@@ -85,7 +85,7 @@ public class MutateESMutativeStepSizeControl implements InterfaceMutation, java.
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -104,7 +104,7 @@ public class MutateESPathLengthAdaption implements InterfaceMutation, java.io.Se
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         if (!(individual instanceof InterfaceESIndividual)) {
             return;
         }

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

@@ -58,7 +58,7 @@ public class MutateESPolynomial implements InterfaceMutation, java.io.Serializab
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -519,8 +519,8 @@ public class MutateESRankMuCMA implements InterfaceAdaptOperatorGenerational, In
     }
 
     @Override
-    public void init(AbstractEAIndividual individual,
-                     InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual,
+                           InterfaceOptimizationProblem opt) {
         double[][] range = ((InterfaceDataTypeDouble) individual).getDoubleRange();
         int dim = range.length;
         c_c = (4. / (dim + 4));

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

@@ -70,7 +70,7 @@ public class MutateGAAdaptive implements InterfaceMutation, java.io.Serializable
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -75,7 +75,7 @@ public class MutateGAGISwapBits implements InterfaceMutation, java.io.Serializab
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -62,7 +62,7 @@ public class MutateGAInvertBits implements InterfaceMutation, java.io.Serializab
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
     }
 
     /**

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

@@ -57,7 +57,7 @@ public class MutateGANBit implements InterfaceMutation, java.io.Serializable {
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
     }
 
     /**

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

@@ -65,7 +65,7 @@ public class MutateGAShiftSubstring implements InterfaceMutation, java.io.Serial
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -97,7 +97,7 @@ public class MutateGASwapBitsSegmentwise implements InterfaceMutation, java.io.S
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -53,8 +53,8 @@ public class MutateGAUniform implements InterfaceMutation, Serializable {
     }
 
     @Override
-    public void init(AbstractEAIndividual individual,
-                     InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual,
+                           InterfaceOptimizationProblem opt) {
         if (useInvertedLength && (individual instanceof InterfaceGAIndividual)) {
             setBitwiseProb(1. / ((double) ((InterfaceGAIndividual) individual).getGenotypeLength()));
         }

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

@@ -55,7 +55,7 @@ public class MutateGIInsertDelete implements InterfaceMutation, java.io.Serializ
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -55,7 +55,7 @@ public class MutateGIInvert implements InterfaceMutation, java.io.Serializable {
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -55,7 +55,7 @@ public class MutateGINominal implements InterfaceMutation, java.io.Serializable
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -60,7 +60,7 @@ public class MutateGIOrdinal implements InterfaceMutation, java.io.Serializable
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -61,8 +61,8 @@ public class MutateGISubset implements InterfaceMutation, Serializable {
     }
 
     @Override
-    public void init(AbstractEAIndividual individual,
-                     InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual,
+                           InterfaceOptimizationProblem opt) {
         // nothing to do
 
     }

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

@@ -70,7 +70,7 @@ public class MutateGITranslocate implements InterfaceMutation, java.io.Serializa
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -70,7 +70,7 @@ public class MutateGPAdaptive implements InterfaceMutation, java.io.Serializable
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -45,7 +45,7 @@ public class MutateGPSingleNode implements InterfaceMutation, java.io.Serializab
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
 
     }
 

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

@@ -38,7 +38,7 @@ public class MutateOBGAFlip implements InterfaceMutation, java.io.Serializable {
     }
 
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         //nothing to initialize
     }
 

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

@@ -40,7 +40,7 @@ public class MutateOBGAInversion implements java.io.Serializable, InterfaceMutat
     }
 
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
         //nothing to initialize
     }
 

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

@@ -39,7 +39,7 @@ public class NoMutation implements InterfaceMutation, java.io.Serializable {
      * @param opt        The optimization problem.
      */
     @Override
-    public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
+    public void initialize(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
     }
 
     /**

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

@@ -395,7 +395,7 @@ public class PostProcess {
         HillClimbing hc = new HillClimbing();
         // HC depends heavily on the selected mutation operator!
         hc.setProblem(problem);
-        mute.init(problem.getIndividualTemplate(), problem);
+        mute.initialize(problem.getIndividualTemplate(), problem);
         hc.setMutationOperator(mute);
         if (pop.size() != pop.getTargetSize()) {
             System.err.println(pop.size() + " vs. " + pop.getTargetSize());