Remove globalInfo completely

closes #9
- Remove all remaining globalInfo methods.
- Remove globalInfo handling.
- WIN.

src/eva2/gui/BeanInspector.java

@@ -601,8 +601,7 @@ public class BeanInspector {
         Object args[] = {};
         Object ret;
 
-        for (String meth : new String[]{"getName", "globalInfo"}) {
+        ret = callIfAvailable(obj, "getName", args);
-            ret = callIfAvailable(obj, meth, args);
         if (ret != null) {
             infoBf.append("\t");
             infoBf.append((String) ret);
@@ -614,8 +613,6 @@ public class BeanInspector {
             }
         }
 
-        }
-
         return infoBf.toString();
     }
 

src/eva2/gui/OptimizationEditorPanel.java

@@ -17,8 +17,6 @@ import java.awt.event.ItemListener;
 import java.beans.PropertyChangeEvent;
 import java.beans.PropertyChangeListener;
 import java.beans.PropertyChangeSupport;
-import java.lang.reflect.Method;
-import java.lang.reflect.Modifier;
 import java.lang.reflect.Proxy;
 import java.util.ArrayList;
 import java.util.HashMap;
@@ -342,22 +340,11 @@ public class OptimizationEditorPanel extends JPanel implements ItemListener {
             Class[] classParams = new Class[]{};
 
             String tip = null;
-            try {
-                Method giMeth = instances.get(i).getDeclaredMethod("globalInfo", classParams);
-                if (Modifier.isStatic(giMeth.getModifiers())) {
-                    tip = (String) giMeth.invoke(null, (Object[]) null);
-                }
-            } catch (Exception e) {
-                LOGGER.finer(e.getMessage());
-            }
 
-            // If the globalInfo method doesn't exist try to use the Annotation
-            if (tip == null || tip.isEmpty()) {
             Description description = instances.get(i).getAnnotation(Description.class);
             if (description != null) {
                 tip = description.value();
             }
-            }
 
             if (tip != null) {
                 if (tip.length() <= maxLen) {

src/eva2/gui/PropertySheetPanel.java

@@ -240,9 +240,7 @@ public final class PropertySheetPanel extends JPanel implements PropertyChangeLi
             }
         }
 
-        // Look for a globalInfo method that returns a string
+        int methsFound = 0; // don't loop too long, so count until all found
-        // describing the target
-        int methsFound = 0; // dont loop too long, so count until all found
         for (MethodDescriptor methodDescriptor : methodDescriptors) {
             String name = methodDescriptor.getDisplayName();
             Method meth = methodDescriptor.getMethod();

src/eva2/optimization/operator/crossover/CM1.java

@@ -6,15 +6,15 @@ import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.optimization.strategies.BinaryScatterSearch;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
 /**
  * This crossover-Method performs a \"union\" of the selected Individuals
  * It only mates 2 Individuals, not more
- *
- * @author Alex
  */
+@Description("This is a Crossover Method for Binary Individuals which just forms the \"union\" of the individuals")
 public class CM1 implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -66,17 +66,7 @@ public class CM1 implements InterfaceCrossover, java.io.Serializable {
         return getName();
     }
 
-    /**
-     * **************************************************
-     * GUI
-     */
-
     public String getName() {
         return "Combination Method 1";
     }
-
-    public static String globalInfo() {
-        return "This is a Crossover Method for Binary Individuals which just forms the \"union\" of the individuals";
-    }
-
 }

src/eva2/optimization/operator/crossover/CM2.java

@@ -5,15 +5,15 @@ import eva2.optimization.individuals.InterfaceDataTypeBinary;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
 /**
  * This crossover-Method performs an \"intersection\" of the selected Individuals
  * It only mates 2 Individuals, not more
- *
- * @author Alex
  */
+@Description("This is a Crossover Method for Binary Individuals which just forms the \"intersection\" of the individuals")
 public class CM2 implements InterfaceCrossover, java.io.Serializable {
 
     private InterfaceOptimizationProblem optimizationProblem;
@@ -66,16 +66,7 @@ public class CM2 implements InterfaceCrossover, java.io.Serializable {
         return getName();
     }
 
-    /**
-     * **************************************************
-     * GUI
-     */
-
     public String getName() {
         return "Combination Method 2";
     }
-
-    public static String globalInfo() {
-        return "This is a Crossover Method for Binary Individuals which just forms the \"intersection\" of the individuals";
-    }
 }

src/eva2/optimization/operator/crossover/CM3.java

@@ -5,15 +5,15 @@ import eva2.optimization.individuals.InterfaceDataTypeBinary;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
 /**
  * calculates a weight based on the fitnessValues and the configuration of each bit from the two individuals and use it as a probability to set the bit
  * It only mates 2 Individuals, not more
- *
- * @author Alex
  */
+@Description("Weight driven crossover method")
 public class CM3 implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -77,17 +77,7 @@ public class CM3 implements InterfaceCrossover, java.io.Serializable {
         return this.getName();
     }
 
-    /**
-     * **************************************************
-     * GUI
-     */
-
     public String getName() {
         return "Combination Method 3";
     }
-
-    public static String globalInfo() {
-        return "Weight driven crossover method";
-    }
-
 }

src/eva2/optimization/operator/crossover/CM4.java

@@ -5,15 +5,15 @@ import eva2.optimization.individuals.InterfaceDataTypeBinary;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
 /**
  * This crossover-Method performs an \"intersection\" of the selected Individuals and then tries to improve it through score (like in CM3)
  * It only mates 2 Individuals, not more
- *
- * @author Alex
  */
+@Description("Intersection with weight driven improvement")
 public class CM4 implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -79,17 +79,7 @@ public class CM4 implements InterfaceCrossover, java.io.Serializable {
         return this.getName();
     }
 
-    /**
-     * **************************************************
-     * GUI
-     */
-
     public String getName() {
         return "Combination Method 4";
     }
-
-    public static String globalInfo() {
-        return "Intersection with weight driven improvement";
-    }
-
 }

src/eva2/optimization/operator/crossover/CM5.java

@@ -5,15 +5,15 @@ import eva2.optimization.individuals.InterfaceDataTypeBinary;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
 /**
  * This crossover-Method performs an \"intersection\" of the selected Individuals and then tries to improve it by randomly setting Bits to 1
  * It only mates 2 Individuals, not more
- *
- * @author Alex
  */
+@Description("Intersection with random change")
 public class CM5 implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -62,17 +62,7 @@ public class CM5 implements InterfaceCrossover, java.io.Serializable {
         return this.getName();
     }
 
-    /**
-     * **************************************************
-     * GUI
-     */
-
     public String getName() {
         return "Combination Method 5";
     }
-
-    public static String globalInfo() {
-        return "Intersection with random change";
-    }
-
 }

src/eva2/optimization/operator/crossover/CM6.java

@@ -6,6 +6,7 @@ import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.optimization.strategies.BinaryScatterSearch;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
@@ -13,9 +14,8 @@ import java.util.BitSet;
  * Score driven Crossover-Method. It uses the same score as the BinaryScatterSearch.
  * Only the first individual of the given Population in the mate method is used. the rest is only for calculating the score
  * It only mates 2 Individuals, not more
- *
- * @author Alex
  */
+@Description("Score driven crossover method")
 public class CM6 implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -68,17 +68,7 @@ public class CM6 implements InterfaceCrossover, java.io.Serializable {
         return getName();
     }
 
-    /**
-     * **************************************************
-     * GUI
-     */
-
     public String getName() {
         return "Combination Method 6";
     }
-
-    public static String globalInfo() {
-        return "score driven crossover method";
-    }
-
 }

src/eva2/optimization/operator/crossover/CM7.java

@@ -10,8 +10,6 @@ import java.util.BitSet;
 /**
  * This crossover-Method tries to convert the first individual into the second. If a better Individual is found on the way, this individual is chosen.
  * If no better individual is found, one with the greatest distance from the both is chosen
- *
- * @author Alex
  */
 public class CM7 implements InterfaceCrossover, java.io.Serializable, InterfaceEvaluatingCrossoverOperator {
     private InterfaceOptimizationProblem optimizationProblem;
@@ -88,20 +86,10 @@ public class CM7 implements InterfaceCrossover, java.io.Serializable, InterfaceE
         return this.evaluations;
     }
 
-    /**
-     * **************************************************
-     * GUI
-     */
-
     public String getName() {
         return "Combination Method 7";
     }
 
-    public static String globalInfo() {
-        //TODO
-        return "";
-    }
-
     @Override
     public void resetEvaluations() {
         this.evaluations = 0;

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

@@ -5,6 +5,7 @@ import eva2.optimization.individuals.InterfaceESIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  * The children are randomized intermediate combinations of the parents,
@@ -12,6 +13,7 @@ import eva2.tools.math.RNG;
  * where r_i are uniform random numbers normed to the sum of one and
  * p_ji is the i-th component of parent j.
  */
+@Description("This is an arithmetical crossover between m ES individuals.")
 public class CrossoverESArithmetical implements InterfaceCrossover, java.io.Serializable {
 
     private InterfaceOptimizationProblem optimizationProblem;
@@ -124,9 +126,6 @@ public class CrossoverESArithmetical implements InterfaceCrossover, java.io.Seri
         return this.getName();
     }
 
-    /**********************************************************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -136,13 +135,4 @@ public class CrossoverESArithmetical implements InterfaceCrossover, java.io.Seri
     public String getName() {
         return "ES arithmetical crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is an arithmetical crossover between m ES individuals.";
-    }
 }

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

@@ -5,14 +5,12 @@ import eva2.optimization.individuals.InterfaceESIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
+import eva2.util.annotation.Parameter;
 
 /**
- * Created by IntelliJ IDEA.
- * User: streiche
- * Date: 02.12.2003
- * Time: 14:50:03
- * To change this template use Options | File Templates.
  */
+@Description("The BLX crossover inits the values within the extreme values plus an additional alpha range (BLX-0.0 equals flat crossover).")
 public class CrossoverESBLXAlpha implements InterfaceCrossover, java.io.Serializable {
 
     private InterfaceOptimizationProblem optimizationProblem;
@@ -130,9 +128,6 @@ public class CrossoverESBLXAlpha implements InterfaceCrossover, java.io.Serializ
         return this.getName();
     }
 
-    /**********************************************************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -143,21 +138,13 @@ public class CrossoverESBLXAlpha implements InterfaceCrossover, java.io.Serializ
         return "ES BLX Alpha crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "The BLX crossover inits the values within the extreme values plus an additional alpha range (BLX-0.0 equals flat crossover).";
-    }
-
     /**
      * This method allows you to set the number of crossovers that occur in the
      * genotype.
      *
      * @param a The number of crossovers.
      */
+    @Parameter(description = "The alpha of BLX.")
     public void setAlpha(double a) {
         if (a < 0) {
             a = 0;
@@ -168,8 +155,4 @@ public class CrossoverESBLXAlpha implements InterfaceCrossover, java.io.Serializ
     public double getAlpha() {
         return this.alpha;
     }
-
-    public String alphaTipText() {
-        return "The alpha of BLX.";
-    }
 }

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

@@ -6,15 +6,17 @@ import eva2.optimization.individuals.InterfaceESIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  * The flat crossover inits values randomly within the extreme values of
  * all parents, namely
  * c[i]=rand(min_j(p_ij), max_j(p_ij)).
- * <p/>
+ * </p><p>
  * where c[i] is the i-th child component and p_ij is the i-th component
  * of parent j.
  */
+@Description("The flat crossover initializes the values within the extreme values.")
 public class CrossoverESFlat implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -123,9 +125,6 @@ public class CrossoverESFlat implements InterfaceCrossover, java.io.Serializable
         return this.getName();
     }
 
-    /**********************************************************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -135,13 +134,4 @@ public class CrossoverESFlat implements InterfaceCrossover, java.io.Serializable
     public String getName() {
         return "ES flat crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "The flat crossover inits the values within the extreme values.";
-    }
 }

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

@@ -4,14 +4,12 @@ import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.individuals.InterfaceESIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
+import eva2.util.annotation.Description;
 
 /**
- * Created by IntelliJ IDEA.
+ *
- * User: streiche
- * Date: 03.12.2003
- * Time: 14:27:59
- * To change this template use Options | File Templates.
  */
+@Description("This is an intermediate crossover between m ES individuals.")
 public class CrossoverESIntermediate implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -116,9 +114,6 @@ public class CrossoverESIntermediate implements InterfaceCrossover, java.io.Seri
         return this.getName();
     }
 
-    /**********************************************************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -128,13 +123,4 @@ public class CrossoverESIntermediate implements InterfaceCrossover, java.io.Seri
     public String getName() {
         return "ES intermediate crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is an intermediate crossover between m ES individuals.";
-    }
 }

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

@@ -5,10 +5,12 @@ import eva2.optimization.individuals.InterfaceESIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This is a discrete n-point crossover between m ES individuals.")
 public class CrossoverESNPointDiscrete implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
     private int numberOfCrossovers = 3;
@@ -126,9 +128,6 @@ public class CrossoverESNPointDiscrete implements InterfaceCrossover, java.io.Se
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -139,15 +138,6 @@ public class CrossoverESNPointDiscrete implements InterfaceCrossover, java.io.Se
         return "ES discrete n-point crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a discrete n-point crossover between m ES individuals.";
-    }
-
     /**
      * This method allows you to set the number of crossovers that occur in the
      * genotype.

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

@@ -5,10 +5,12 @@ import eva2.optimization.individuals.InterfaceESIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This is a discrete n-point crossover between m ES individuals with dislocation.")
 public class CrossoverESNPointDiscreteDislocation implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
     private int numberOfCrossovers = 3;
@@ -141,9 +143,6 @@ public class CrossoverESNPointDiscreteDislocation implements InterfaceCrossover,
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -154,15 +153,6 @@ public class CrossoverESNPointDiscreteDislocation implements InterfaceCrossover,
         return "ES discrete n-point crossover with dislocation";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a discrete n-point crossover between m ES individuals with dislocation.";
-    }
-
     /**
      * This method allows you to set the number of crossovers that occur in the
      * genotype.

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

@@ -10,12 +10,14 @@ import eva2.problems.F1Problem;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.Mathematics;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.ArrayList;
 
 /**
  *
  */
+@Description("This is the Parent Centric Crossover (PCX).")
 public class CrossoverESPCX implements InterfaceCrossover, java.io.Serializable {
 
     private InterfaceOptimizationProblem optimizationProblem;
@@ -296,9 +298,6 @@ public class CrossoverESPCX implements InterfaceCrossover, java.io.Serializable
         return this.getName();
     }
 
-    /**********************************************************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -309,15 +308,6 @@ public class CrossoverESPCX implements InterfaceCrossover, java.io.Serializable
         return "ES PCX crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is the Parent Centric Crossover (PCX).";
-    }
-
     public void setEta(double a) {
         if (a < 0) {
             a = 0;

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

@@ -8,10 +8,12 @@ import eva2.optimization.population.Population;
 import eva2.problems.F1Problem;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("The SBX crossover simulates a binary crossover (works only for two partners!).")
 public class CrossoverESSBX implements InterfaceCrossover, java.io.Serializable {
 
     private InterfaceOptimizationProblem optimizationProblem;
@@ -193,9 +195,6 @@ public class CrossoverESSBX implements InterfaceCrossover, java.io.Serializable
         return this.getName();
     }
 
-    /**********************************************************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -206,15 +205,6 @@ public class CrossoverESSBX implements InterfaceCrossover, java.io.Serializable
         return "ES SBX crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "The SBX crossover simulates a binary crossover (works only for two partners!).";
-    }
-
     /**
      * This method allows you to set the number of crossovers that occur in the
      * genotype.

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

@@ -9,10 +9,12 @@ import eva2.problems.F1Problem;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.Mathematics;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This is the Simplex Crossover (SPX).")
 public class CrossoverESSPX implements InterfaceCrossover, java.io.Serializable {
 
     private InterfaceOptimizationProblem optimizationProblem;
@@ -205,8 +207,6 @@ public class CrossoverESSPX implements InterfaceCrossover, java.io.Serializable
                 if (plotFlag) {
                     plot.setUnconnectedPoint(tmpD[0], tmpD[1], 1);
                 }
-                //range = ((ESIndividualDoubleData)offsprings[j]).getDoubleRange();
-                //System.out.println("["+range[0][0]+"/"+range[0][1]+";"+range[1][0]+"/"+range[1][1]+"]");
             }
         }
     }
@@ -216,9 +216,6 @@ public class CrossoverESSPX implements InterfaceCrossover, java.io.Serializable
         return this.getName();
     }
 
-    /**********************************************************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -229,15 +226,6 @@ public class CrossoverESSPX implements InterfaceCrossover, java.io.Serializable
         return "ES SPX crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is the Simplex Crossover (SPX).";
-    }
-
     public void setEpsilon(double a) {
         if (a < 0) {
             a = 0;

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

@@ -10,6 +10,7 @@ import eva2.problems.F1Problem;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.Mathematics;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.ArrayList;
 
@@ -35,6 +36,7 @@ import java.util.ArrayList;
  * url = {http://garage.cse.msu.edu/icga97/Abstracts.html#092}
  * }
  */
+@Description("This is the Unimodal Normally Distributed crossover (UNDX) by Ono and Kobayashi, 1997, typically uses more than two parents.")
 public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable {
 
     private InterfaceOptimizationProblem optimizationProblem;
@@ -301,9 +303,6 @@ public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable
         return this.getName();
     }
 
-    /**********************************************************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -314,15 +313,6 @@ public class CrossoverESUNDX implements InterfaceCrossover, java.io.Serializable
         return "ES UNDX crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is the Unimodal Normally Distributed crossover (UNDX) by Ono and Kobayashi, 1997, typically uses more than two parents.";
-    }
-
     public void setEta(double a) {
         if (a < 0) {
             a = 0;

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

@@ -5,10 +5,12 @@ import eva2.optimization.individuals.InterfaceESIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This is a discrete n-point crossover between m ES individuals.")
 public class CrossoverESUniformDiscrete implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -113,9 +115,6 @@ public class CrossoverESUniformDiscrete implements InterfaceCrossover, java.io.S
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -125,13 +124,4 @@ public class CrossoverESUniformDiscrete implements InterfaceCrossover, java.io.S
     public String getName() {
         return "ES discrete n-point crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a discrete n-point crossover between m ES individuals.";
-    }
 }

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

@@ -6,12 +6,14 @@ import eva2.optimization.individuals.InterfaceGAIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
 /**
  *
  */
+@Description("This is a bit simulated crossover between m individuals.")
 public class CrossoverGABitSimulated implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -124,9 +126,6 @@ public class CrossoverGABitSimulated implements InterfaceCrossover, java.io.Seri
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -136,13 +135,4 @@ public class CrossoverGABitSimulated implements InterfaceCrossover, java.io.Seri
     public String getName() {
         return "GA bit simulated crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a bit simulated crossover between m individuals.";
-    }
 }

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

@@ -6,12 +6,14 @@ import eva2.optimization.individuals.InterfaceGAIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
 /**
  * This operator performs one-point crossover.
  */
+@Description("This is a one-point crossover between two individuals.")
 public class CrossoverGADefault implements InterfaceCrossover,
         java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
@@ -124,9 +126,6 @@ public class CrossoverGADefault implements InterfaceCrossover,
         return this.getName();
     }
 
-    /*****************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the name to the
      * current object.
@@ -136,13 +135,4 @@ public class CrossoverGADefault implements InterfaceCrossover,
     public String getName() {
         return "GA default crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a one-point crossover between two individuals.";
-    }
 }

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

@@ -7,6 +7,7 @@ import eva2.optimization.individuals.InterfaceGIIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
@@ -15,9 +16,8 @@ import java.util.BitSet;
  * parent individuals are recombined by exchanging sub-segments within randomly
  * selected points. Therefore, far-away alleles (larger GA schemas) are more likely to be split
  * between individuals.
- *
- * @author mkron, streiche
  */
+@Description("This is an n-point crossover between m individuals which may be binary or integer based.")
 public class CrossoverGAGINPoint implements InterfaceCrossover, java.io.Serializable {
     private int numberOfCrossovers = 3;
 
@@ -242,9 +242,6 @@ public class CrossoverGAGINPoint implements InterfaceCrossover, java.io.Serializ
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -255,15 +252,6 @@ public class CrossoverGAGINPoint implements InterfaceCrossover, java.io.Serializ
         return "GA-GI N-Point Crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is an n-point crossover between m individuals which may be binary or integer based.";
-    }
-
     /**
      * This method allows you to set the number of crossovers that occur in the
      * genotype.

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

@@ -1,14 +1,14 @@
 package eva2.optimization.operator.crossover;
 
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  * A variation of the GA n-point crossover. Restricts crossover to segment bounds
  * of fixed length, so crossings occur at multiples of the segment length only. Segments
  * will not be destroyed.
- *
- * @author mkron
  */
+@Description("This is an n-point crossover between m individuals which also splits at certain segment limits. Crossover points are selected from multiples of the segment length.")
 public class CrossoverGAGINPointSegmentwise extends CrossoverGAGINPoint {
     int segmentLength = 8;
 
@@ -56,10 +56,6 @@ public class CrossoverGAGINPointSegmentwise extends CrossoverGAGINPoint {
         return "GA-GI N-Point segment-wise crossover";
     }
 
-    public static String globalInfo() {
-        return "This is an n-point crossover between m individuals which also splits at certain segment limits. Crossover points are selected from multiples of the segment length.";
-    }
-
     public int getSegmentLength() {
         return segmentLength;
     }

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

@@ -6,16 +6,14 @@ import eva2.optimization.individuals.InterfaceGAIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
 /**
- * Created by IntelliJ IDEA.
+ *
- * User: streiche
- * Date: 03.04.2003
- * Time: 13:58:59
- * To change this template use Options | File Templates.
  */
+@Description("This is a uniform crossover between m individuals.")
 public class CrossoverGAUniform implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -122,9 +120,6 @@ public class CrossoverGAUniform implements InterfaceCrossover, java.io.Serializa
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -134,13 +129,4 @@ public class CrossoverGAUniform implements InterfaceCrossover, java.io.Serializa
     public String getName() {
         return "GA uniform crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a uniform crossover between m individuals.";
-    }
 }

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

@@ -5,10 +5,12 @@ import eva2.optimization.individuals.InterfaceGIIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  * One-point crossover on integer individuals.
  */
+@Description("This is a discrete one-point crossover between m GI individuals.")
 public class CrossoverGIDefault implements InterfaceCrossover, java.io.Serializable {
 
     private InterfaceOptimizationProblem optimizationProblem;
@@ -124,9 +126,6 @@ public class CrossoverGIDefault implements InterfaceCrossover, java.io.Serializa
         return this.getName();
     }
 
-    /**********************************************************************************************************************
-     * These are for GUI
-     */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -136,13 +135,4 @@ public class CrossoverGIDefault implements InterfaceCrossover, java.io.Serializa
     public String getName() {
         return "GI discrete one-point crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a discrete one-point crossover between m GI individuals.";
-    }
 }

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

@@ -5,14 +5,12 @@ import eva2.optimization.individuals.InterfaceGIIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
- * Created by IntelliJ IDEA.
+ *
- * User: streiche
- * Date: 01.06.2005
- * Time: 14:38:54
- * To change this template use File | Settings | File Templates.
  */
+@Description("This is an n-point crossover between m individuals.")
 public class CrossoverGINPoint implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
     private int numberOfCrossovers = 3;
@@ -135,9 +133,6 @@ public class CrossoverGINPoint implements InterfaceCrossover, java.io.Serializab
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -148,15 +143,6 @@ public class CrossoverGINPoint implements InterfaceCrossover, java.io.Serializab
         return "GI N-Point Crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is an n-point crossover between m individuals.";
-    }
-
     /**
      * This method allows you to set the number of crossovers that occur in the
      * genotype.

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

@@ -5,16 +5,14 @@ import eva2.optimization.individuals.InterfaceGIIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 import java.util.BitSet;
 
 /**
- * Created by IntelliJ IDEA.
+ *
- * User: streiche
- * Date: 01.06.2005
- * Time: 14:37:43
- * To change this template use File | Settings | File Templates.
  */
+@Description("This is a variable length n-point crossover between m individuals.")
 public class CrossoverGINPointVL implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
     private int numberOfCrossovers = 3;
@@ -190,9 +188,6 @@ public class CrossoverGINPointVL implements InterfaceCrossover, java.io.Serializ
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -203,15 +198,6 @@ public class CrossoverGINPointVL implements InterfaceCrossover, java.io.Serializ
         return "GI var. length N-Point Crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a variable length n-point crossover between m individuals.";
-    }
-
     /**
      * This method allows you to set the number of crossovers that occur in the
      * genotype.

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

@@ -6,14 +6,12 @@ import eva2.optimization.individuals.InterfaceGIIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
- * Created by IntelliJ IDEA.
+ *
- * User: streiche
- * Date: 01.06.2005
- * Time: 14:38:23
- * To change this template use File | Settings | File Templates.
  */
+@Description("This is a uniform crossover between m individuals.")
 public class CrossoverGIUniform implements InterfaceCrossover, java.io.Serializable {
 
     private InterfaceOptimizationProblem optimizationProblem;
@@ -121,9 +119,6 @@ public class CrossoverGIUniform implements InterfaceCrossover, java.io.Serializa
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -133,13 +128,4 @@ public class CrossoverGIUniform implements InterfaceCrossover, java.io.Serializa
     public String getName() {
         return "GI uniform crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a uniform crossover between m individuals.";
-    }
 }

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

@@ -8,9 +8,11 @@ import eva2.optimization.individuals.codings.gp.AbstractGPNode;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  */
+@Description("This is a one-point crossover between two programs.")
 public class CrossoverGPDefault implements InterfaceCrossover, java.io.Serializable {
     /**
      *
@@ -141,9 +143,6 @@ public class CrossoverGPDefault implements InterfaceCrossover, java.io.Serializa
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -153,13 +152,4 @@ public class CrossoverGPDefault implements InterfaceCrossover, java.io.Serializa
     public String getName() {
         return "GP default crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a one-point crossover between two programs.";
-    }
 }

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

@@ -5,17 +5,11 @@ import eva2.optimization.individuals.InterfaceOBGAIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
- * <p>Title: EvA2</p>
- * <p>Description: PMX-Crossover as defined in http://www.cs.rit.edu/usr/local/pub/pga/Genetic/Slides_etc/ga_5_og.pdf</p>
- * <p>Copyright: Copyright (c) 2003</p>
- * <p>Company: </p>
- *
- * @author planatsc
- * @version 1.0
  */
-
+@Description("The infamous PMX crossover for Permutations.")
 public class CrossoverOBGAPMX implements InterfaceCrossover, java.io.Serializable {
 
     public CrossoverOBGAPMX() {
@@ -111,9 +105,6 @@ public class CrossoverOBGAPMX implements InterfaceCrossover, java.io.Serializabl
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -123,14 +114,4 @@ public class CrossoverOBGAPMX implements InterfaceCrossover, java.io.Serializabl
     public String getName() {
         return "OBGA PMX crossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "The infamous PMX crossover for Permutations.";
-    }
-
 }

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

@@ -5,17 +5,11 @@ import eva2.optimization.individuals.InterfaceOBGAIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
- * <p>Title: EvA2</p>
- * <p>Description: PMX-Crossover as defined in http://www.cs.rit.edu/usr/local/pub/pga/Genetic/Slides_etc/ga_5_og.pdf</p>
- * <p>Copyright: Copyright (c) 2003</p>
- * <p>Company: </p>
- *
- * @author planatsc
- * @version 1.0
  */
-
+@Description("The infamous PMX uniform crossover for Permutations.")
 public class CrossoverOBGAPMXUniform implements InterfaceCrossover, java.io.Serializable {
 
     public CrossoverOBGAPMXUniform() {
@@ -108,9 +102,6 @@ public class CrossoverOBGAPMXUniform implements InterfaceCrossover, java.io.Seri
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -121,13 +112,4 @@ public class CrossoverOBGAPMXUniform implements InterfaceCrossover, java.io.Seri
         return "OBGA PMX uniform crossover";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "The infamous PMX uniform crossover for Permutations.";
-    }
-
 }

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

@@ -3,10 +3,12 @@ package eva2.optimization.operator.crossover;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
 import eva2.problems.InterfaceOptimizationProblem;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("No crossover at all, even for occasional strategy parameters.")
 public class NoCrossover implements InterfaceCrossover, java.io.Serializable {
     private InterfaceOptimizationProblem optimizationProblem;
 
@@ -79,9 +81,6 @@ public class NoCrossover implements InterfaceCrossover, java.io.Serializable {
         return this.getName();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -91,13 +90,4 @@ public class NoCrossover implements InterfaceCrossover, java.io.Serializable {
     public String getName() {
         return "Nocrossover";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "No crossover at all, even for occasional strategy paramters.";
-    }
 }

src/eva2/optimization/operator/distancemetric/EuclideanMetric.java

@@ -10,10 +10,9 @@ import java.io.Serializable;
  * The Euclidean metric just measures the Euclidean distance based on the default double representation
  * as given by AbstractEAIndividual.getDoublePosition(AbstractEAIndividual).
  *
- * @author mkron
  * @see AbstractEAIndividual#getDoublePosition(AbstractEAIndividual)
  */
-@Description("Set to true to norm the distance by the double range - only possible with InterfaceDataTypeDouble individuals.")
+@Description("The euclidean metric calculates euclidean distances for individuals which have a real valued interpretation.")
 public class EuclideanMetric implements InterfaceDistanceMetric, Serializable {
     private boolean normedByDblRange = false;
 
@@ -89,15 +88,6 @@ public class EuclideanMetric implements InterfaceDistanceMetric, Serializable {
         return Math.sqrt(result);
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "The euclidean metric calculates euclidean distances for individuals which have a real valued interpretation.";
-    }
-
     /**
      * This method will return a naming String
      *

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

@@ -4,11 +4,13 @@ import eva2.optimization.operator.selection.InterfaceSelection;
 import eva2.optimization.operator.selection.SelectMOMaxiMin;
 import eva2.optimization.population.Population;
 import eva2.optimization.strategies.InterfaceOptimizer;
+import eva2.util.annotation.Description;
 
 /**
  * Migration based on a Multi-criterial selection mechanism
  * migrating the n best individuals between all populations.
  */
+@Description("This is multi-objective migration scheme.")
 public class MOBestMigration implements InterfaceMigration, java.io.Serializable {
 
     private InterfaceSelection selection = new SelectMOMaxiMin();
@@ -75,18 +77,6 @@ public class MOBestMigration implements InterfaceMigration, java.io.Serializable
         }
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is multi-objective migration scheme.";
-    }
-
     /**
      * This method will return a naming String
      *

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

@@ -15,16 +15,18 @@ import eva2.optimization.strategies.InterfaceOptimizer;
 import eva2.tools.chart2d.Chart2DDPointIconCircle;
 import eva2.tools.chart2d.Chart2DDPointIconText;
 import eva2.tools.chart2d.DPoint;
+import eva2.util.annotation.Description;
 
 import java.io.BufferedWriter;
 import java.io.IOException;
 
 /**
  * This method implements the clustering based subdivision
- * scheme, this method rearanges the populations and may
+ * scheme, this method rearranges the populations and may
  * impose area constraints on the subpopulations. This method
  * is suited for K-means only.
  */
+@Description("This is migration scheme, which implements a clustering based partitioning.")
 public class MOClusteringSeparation implements InterfaceMigration, java.io.Serializable {
 
     public boolean debug = false;
@@ -351,18 +353,6 @@ public class MOClusteringSeparation implements InterfaceMigration, java.io.Seria
         }
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is migration scheme, which implements a clustering based partitioning.";
-    }
-
     /**
      * This method will return a naming String
      *

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

@@ -18,15 +18,17 @@ import eva2.optimization.strategies.InterfaceOptimizer;
 import eva2.tools.chart2d.Chart2DDPointIconCircle;
 import eva2.tools.chart2d.Chart2DDPointIconText;
 import eva2.tools.chart2d.DPoint;
+import eva2.util.annotation.Description;
 
 import java.io.BufferedWriter;
 import java.io.IOException;
 
 /**
  * This method implements the cone separation subdivision
- * scheme, this method rearanges the populations and may
+ * scheme, this method rearranges the populations and may
  * impose area constraints on the subpopulations.
  */
+@Description("This is migration scheme, which implements a cone separation based partitioning.")
 public class MOConeSeparation implements InterfaceMigration, java.io.Serializable {
 
     public boolean debug = false;
@@ -742,18 +744,6 @@ public class MOConeSeparation implements InterfaceMigration, java.io.Serializabl
         }
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is migration scheme, which implements a cone separation based partitioning.";
-    }
-
     /**
      * This method will return a naming String
      *

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

@@ -16,6 +16,7 @@ import eva2.optimization.strategies.InterfaceOptimizer;
 import eva2.tools.chart2d.Chart2DDPointIconCircle;
 import eva2.tools.chart2d.Chart2DDPointIconText;
 import eva2.tools.chart2d.DPoint;
+import eva2.util.annotation.Description;
 
 import java.io.BufferedWriter;
 import java.io.IOException;
@@ -25,6 +26,7 @@ import java.io.IOException;
  * scheme suited to identify uni- and multi-modal search spaces
  * under development and currently defunct.
  */
+@Description("This is migration scheme, which implements a clustering based partitioning.")
 public class MOXMeansSeparation implements InterfaceMigration, java.io.Serializable {
 
     public boolean debug = false;
@@ -355,18 +357,6 @@ public class MOXMeansSeparation implements InterfaceMigration, java.io.Serializa
         }
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is migration scheme, which implements a clustering based partitioning.";
-    }
-
     /**
      * This method will return a naming String
      *

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

@@ -5,10 +5,12 @@ import eva2.optimization.operator.selection.InterfaceSelection;
 import eva2.optimization.operator.selection.SelectBestIndividuals;
 import eva2.optimization.population.Population;
 import eva2.optimization.strategies.InterfaceOptimizer;
+import eva2.util.annotation.Description;
 
 /**
  * Simple single-objective migration scheme.
  */
+@Description("This is a single-objective migration scheme.")
 public class SOBestMigration implements InterfaceMigration, java.io.Serializable {
 
     private InterfaceSelection selection = new SelectBestIndividuals();
@@ -32,11 +34,11 @@ public class SOBestMigration implements InterfaceMigration, java.io.Serializable
     }
 
     /**
-     * The migrate method can be called asychnronously or
+     * The migrate method can be called asynchronously or
-     * sychronously. Basically it allows migration of individuals
+     * synchronously. Basically it allows migration of individuals
      * between multiple EA islands and since there are so many
      * different possible strategies i've introduced this
-     * interface which is mostlikely subject to numerous changes..
+     * interface which is most likely subject to numerous changes..
      * Note: Since i use the RMIRemoteThreadProxy everything done
      * to the islands will use the serialization method, so if
      * you call getPopulation() on an island it is not a reference
@@ -74,17 +76,6 @@ public class SOBestMigration implements InterfaceMigration, java.io.Serializable
             islands[i].setPopulation(newIPOP[i]);
         }
     }
-/**********************************************************************************************************************
- * These are for GUI
- */
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is a single-objective migration scheme.";
-    }
 
     /**
      * This method will return a naming String

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

@@ -1,10 +1,12 @@
 package eva2.optimization.operator.migration;
 
 import eva2.optimization.strategies.InterfaceOptimizer;
+import eva2.util.annotation.Description;
 
 /**
  * Implements no migration as reference.
  */
+@Description("This is actually no mirgation scheme, because no individuals are exchanged.")
 public class SOMONoMigration implements InterfaceMigration, java.io.Serializable {
 
     /**
@@ -40,18 +42,6 @@ public class SOMONoMigration implements InterfaceMigration, java.io.Serializable
 
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This is actually no mirgation scheme, because no individuals are exchanged.";
-    }
-
     /**
      * This method will return a naming String
      *

src/eva2/optimization/operator/moso/MOSODynamicallyWeightedFitness.java

@@ -2,10 +2,12 @@ package eva2.optimization.operator.moso;
 
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This method calcuates a dynamic weighted sum over TWO fitness values depending on the current generation.")
 public class MOSODynamicallyWeightedFitness implements InterfaceMOSOConverter, java.io.Serializable {
 
     private double f = 50;
@@ -92,9 +94,6 @@ public class MOSODynamicallyWeightedFitness implements InterfaceMOSOConverter, j
         return this.getName() + "\n";
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -106,15 +105,6 @@ public class MOSODynamicallyWeightedFitness implements InterfaceMOSOConverter, j
         return "Dynamic Weighted Sum";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calcuates a dynamic weighted sum over TWO fitness values depending on the current generation.";
-    }
-
     /**
      * This method allows you to choose the frequency for the change of the weights.
      *

src/eva2/optimization/operator/moso/MOSOEpsilonConstraint.java

@@ -3,14 +3,12 @@ package eva2.optimization.operator.moso;
 import eva2.gui.PropertyEpsilonConstraint;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
- * Created by IntelliJ IDEA.
+ *
- * User: streiche
- * Date: 14.07.2005
- * Time: 16:13:17
- * To change this template use File | Settings | File Templates.
  */
+@Description("This method uses n-1 objected as hard constraints.")
 public class MOSOEpsilonConstraint implements InterfaceMOSOConverter, java.io.Serializable {
 
     private PropertyEpsilonConstraint epsilonConstraint = null;
@@ -107,10 +105,6 @@ public class MOSOEpsilonConstraint implements InterfaceMOSOConverter, java.io.Se
         return this.getName() + "\n";
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -122,15 +116,6 @@ public class MOSOEpsilonConstraint implements InterfaceMOSOConverter, java.io.Se
         return "Epsilon Constraint";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method uses n-1 objected as hard constraints.";
-    }
-
     /**
      * This method allows you to choose the EpsilonThreshold
      *

src/eva2/optimization/operator/moso/MOSOEpsilonThreshold.java

@@ -3,10 +3,12 @@ package eva2.optimization.operator.moso;
 import eva2.gui.PropertyEpsilonThreshold;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This method uses n-1 objected as soft constraints.")
 public class MOSOEpsilonThreshold implements InterfaceMOSOConverter, java.io.Serializable {
 
     private PropertyEpsilonThreshold epsilonThreshold = null;
@@ -135,10 +137,6 @@ public class MOSOEpsilonThreshold implements InterfaceMOSOConverter, java.io.Ser
         return this.getName() + "\n";
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -150,15 +148,6 @@ public class MOSOEpsilonThreshold implements InterfaceMOSOConverter, java.io.Ser
         return "Epsilon Threshold";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method uses n-1 objected as soft constraints.";
-    }
-
     /**
      * This method allows you to choose the EpsilonThreshold
      *

src/eva2/optimization/operator/moso/MOSOGoalProgramming.java

@@ -3,10 +3,12 @@ package eva2.optimization.operator.moso;
 import eva2.gui.PropertyDoubleArray;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This method minimizes the delta to a given target fitness values.")
 public class MOSOGoalProgramming implements InterfaceMOSOConverter, java.io.Serializable {
 
     private PropertyDoubleArray goals = null;
@@ -96,10 +98,6 @@ public class MOSOGoalProgramming implements InterfaceMOSOConverter, java.io.Seri
         return this.getName() + "\n";
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -111,15 +109,6 @@ public class MOSOGoalProgramming implements InterfaceMOSOConverter, java.io.Seri
         return "Goal Programming";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method minimizes the delta to a given target fitness values.";
-    }
-
     /**
      * This method allows you to choose the goals for goal programming
      *

src/eva2/optimization/operator/moso/MOSOLpMetric.java

@@ -3,10 +3,12 @@ package eva2.optimization.operator.moso;
 import eva2.gui.PropertyDoubleArray;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This method minimizes the Lp metric to a given target fitness values, for (p<1) this equals the Tchebycheff metric.")
 public class MOSOLpMetric implements InterfaceMOSOConverter, java.io.Serializable {
 
     private PropertyDoubleArray reference = null;
@@ -119,9 +121,6 @@ public class MOSOLpMetric implements InterfaceMOSOConverter, java.io.Serializabl
         return result;
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -133,15 +132,6 @@ public class MOSOLpMetric implements InterfaceMOSOConverter, java.io.Serializabl
         return "Lp Metric";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method minimizes the Lp metric to a given target fitness values, for (p<1) this equals the Tchebycheff metric.";
-    }
-
     /**
      * This method allows you to choose the reference for the Lp Metric
      *

src/eva2/optimization/operator/moso/MOSOMOGARankBased.java

@@ -2,14 +2,11 @@ package eva2.optimization.operator.moso;
 
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
- * Created by IntelliJ IDEA.
- * User: streiche
- * Date: 14.06.2005
- * Time: 17:05:11
- * To change this template use File | Settings | File Templates.
  */
+@Description("This method calculates the MOGA rank of each individual and uses the rank as fitness [Fonseca93Genetic].")
 public class MOSOMOGARankBased implements InterfaceMOSOConverter, java.io.Serializable {
 
     public MOSOMOGARankBased() {
@@ -93,10 +90,6 @@ public class MOSOMOGARankBased implements InterfaceMOSOConverter, java.io.Serial
         return this.getName() + "\n";
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -107,13 +100,4 @@ public class MOSOMOGARankBased implements InterfaceMOSOConverter, java.io.Serial
     public String getName() {
         return "MOGA Rank Based";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calcuates the MOGA rank of each individual and uses the rank as fitness [Fonseca93Genetic].";
-    }
 }

src/eva2/optimization/operator/moso/MOSOMaxiMin.java

@@ -3,10 +3,12 @@ package eva2.optimization.operator.moso;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This method calculate the maximum of minimum distance over all criterias over all individuals.")
 public class MOSOMaxiMin implements InterfaceMOSOConverter, java.io.Serializable {
 
     private int outputDimension = 2;
@@ -118,13 +120,4 @@ public class MOSOMaxiMin implements InterfaceMOSOConverter, java.io.Serializable
     public String getName() {
         return "MaxiMin Criterium";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calculate the maximum of minimum distance over all criterias over all individuals.";
-    }
 }

src/eva2/optimization/operator/moso/MOSONoConvert.java

@@ -2,14 +2,12 @@ package eva2.optimization.operator.moso;
 
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
- * Created by IntelliJ IDEA.
+ *
- * User: streiche
- * Date: 05.03.2004
- * Time: 11:02:21
- * To change this template use File | Settings | File Templates.
  */
+@Description("This method leaves everything the same.")
 public class MOSONoConvert implements InterfaceMOSOConverter, java.io.Serializable {
 
     public MOSONoConvert() {
@@ -50,8 +48,6 @@ public class MOSONoConvert implements InterfaceMOSOConverter, java.io.Serializab
 
         tmpFit = indy.getFitness();
         indy.putData("MOFitness", tmpFit);
-//        resultFit[0]    = tmpFit[RNG.randomInt(0, tmpFit.length)];
-//        indy.SetFitness(resultFit);
     }
 
     /**
@@ -76,10 +72,6 @@ public class MOSONoConvert implements InterfaceMOSOConverter, java.io.Serializab
         return this.getName() + "\n";
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -90,14 +82,4 @@ public class MOSONoConvert implements InterfaceMOSOConverter, java.io.Serializab
     public String getName() {
         return "No Convert";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method leaves everything the same.";
-    }
-
 }

src/eva2/optimization/operator/moso/MOSORandomChoice.java

@@ -3,10 +3,12 @@ package eva2.optimization.operator.moso;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This method selects a random fitness value, actually this implements VEGA [Schaffer84Experiments].")
 public class MOSORandomChoice implements InterfaceMOSOConverter, java.io.Serializable {
 
     private int outputDimension = 2;
@@ -79,10 +81,6 @@ public class MOSORandomChoice implements InterfaceMOSOConverter, java.io.Seriali
         return this.getName() + "\n";
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -93,13 +91,4 @@ public class MOSORandomChoice implements InterfaceMOSOConverter, java.io.Seriali
     public String getName() {
         return "Random Choice";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method selects a random fitness value, actually this implements VEGA [Schaffer84Experiments].";
-    }
 }

src/eva2/optimization/operator/moso/MOSORandomWeight.java

@@ -3,14 +3,11 @@ package eva2.optimization.operator.moso;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
 import eva2.tools.math.RNG;
+import eva2.util.annotation.Description;
 
 /**
- * Created by IntelliJ IDEA.
- * User: streiche
- * Date: 14.06.2005
- * Time: 13:44:20
- * To change this template use File | Settings | File Templates.
  */
+@Description("This method calcuates a randomly weighted sum over all fitness values [Murata95MOGA].")
 public class MOSORandomWeight implements InterfaceMOSOConverter, java.io.Serializable {
 
     public MOSORandomWeight() {
@@ -95,10 +92,6 @@ public class MOSORandomWeight implements InterfaceMOSOConverter, java.io.Seriali
         return this.getName() + "\n";
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -109,13 +102,4 @@ public class MOSORandomWeight implements InterfaceMOSOConverter, java.io.Seriali
     public String getName() {
         return "Randomly Weighted Sum";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calcuates a randomly weighted sum over all fitness values [Murata95MOGA].";
-    }
 }

src/eva2/optimization/operator/moso/MOSORankbased.java

@@ -3,14 +3,11 @@ package eva2.optimization.operator.moso;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.operator.archiving.ArchivingNSGAII;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
- * Created by IntelliJ IDEA.
- * User: streiche
- * Date: 14.06.2005
- * Time: 14:18:58
- * To change this template use File | Settings | File Templates.
  */
+@Description("This method calcuates the Pareto rank of each individual and uses the rank as fitness.")
 public class MOSORankbased implements InterfaceMOSOConverter, java.io.Serializable {
 
     public MOSORankbased() {
@@ -80,10 +77,6 @@ public class MOSORankbased implements InterfaceMOSOConverter, java.io.Serializab
         return this.getName() + "\n";
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -94,13 +87,4 @@ public class MOSORankbased implements InterfaceMOSOConverter, java.io.Serializab
     public String getName() {
         return "Rank Based";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calcuates the Pareto rank of each individual and uses the rank as fitness.";
-    }
 }

src/eva2/optimization/operator/moso/MOSOUtilityFunction.java

@@ -3,10 +3,12 @@ package eva2.optimization.operator.moso;
 
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This method allows you to progamm an individual utility function.")
 public class MOSOUtilityFunction implements InterfaceMOSOConverter, java.io.Serializable {
 
     private int outputDimension = 2;
@@ -98,14 +100,4 @@ public class MOSOUtilityFunction implements InterfaceMOSOConverter, java.io.Seri
     public String getName() {
         return "Utility Function";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method allows you to progamm an individual utility function.";
-    }
-
 }

src/eva2/optimization/operator/moso/MOSOWeightedFitness.java

@@ -3,10 +3,12 @@ package eva2.optimization.operator.moso;
 import eva2.gui.PropertyDoubleArray;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This method calcuates the weighted sum over all fitness values.")
 public class MOSOWeightedFitness implements InterfaceMOSOConverter, java.io.Serializable {
 
     private PropertyDoubleArray weights = null;
@@ -114,10 +116,6 @@ public class MOSOWeightedFitness implements InterfaceMOSOConverter, java.io.Seri
         return this.getName() + "\n";
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -129,15 +127,6 @@ public class MOSOWeightedFitness implements InterfaceMOSOConverter, java.io.Seri
         return "Weighted Sum";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calcuates the weighted sum over all fitness values.";
-    }
-
     /**
      * This method allows you to choose the weights for the weighted
      * fitness sum.

src/eva2/optimization/operator/moso/MOSOWeightedLPTchebycheff.java

@@ -3,10 +3,12 @@ package eva2.optimization.operator.moso;
 import eva2.gui.PropertyWeightedLPTchebycheff;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 /**
  *
  */
+@Description("This method implements the Lp-problem and the Tchebycheff metric, the weighted version is also known as compromise programming.")
 public class MOSOWeightedLPTchebycheff implements InterfaceMOSOConverter, java.io.Serializable {
 
     private PropertyWeightedLPTchebycheff weightedLPTchebycheff = null;
@@ -133,10 +135,6 @@ public class MOSOWeightedLPTchebycheff implements InterfaceMOSOConverter, java.i
         return result;
     }
 
-
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -148,15 +146,6 @@ public class MOSOWeightedLPTchebycheff implements InterfaceMOSOConverter, java.i
         return "Lp/Tchebycheff";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method implements the Lp-problem and the Tchebycheff metric, the weighted version is also known as compromise programming.";
-    }
-
     /**
      * This method allows you to choose the EpsilonThreshold
      *

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

@@ -2,6 +2,7 @@ package eva2.optimization.operator.nichepso.absorption;
 
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.strategies.ParticleSubSwarmOptimization;
+import eva2.util.annotation.Description;
 
 /**
  * Particles are absorbed into a subswarm when they move into an area
@@ -12,25 +13,14 @@ import eva2.optimization.strategies.ParticleSubSwarmOptimization;
  * In Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02),
  * 2002, 2, 692-696
  */
+@Description("Strategy to absorb main swarm particles into a subswarm")
 public class StandardAbsorptionStrategy implements InterfaceAbsorptionStrategy, java.io.Serializable {
 
-    /**
-     * *******************************************************************************************************************
-     * ctors, initialize, clone
-     */
     @Override
     public Object clone() {
         return new StandardAbsorptionStrategy();
     }
 
-    public String globalInfo() {
-        return "Strategy to absorb main swarm particles into a subswarm";
-    }
-
-/**********************************************************************************************************************
- * shouldAbsorbParticleIntoSubswarm
- */
-
     /**
      * @tested true if
      * the subswarm is active and

src/eva2/optimization/operator/nichepso/deactivation/ImprovementDeactivationStrategy.java

@@ -5,6 +5,7 @@ import eva2.optimization.population.Population;
 import eva2.optimization.strategies.NichePSO;
 import eva2.optimization.strategies.ParticleSubSwarmOptimization;
 import eva2.tools.EVAERROR;
+import eva2.util.annotation.Description;
 
 import java.util.List;
 import java.util.Vector;
@@ -15,6 +16,7 @@ import java.util.Vector;
  * over the last 3 iterations is less or equal a given threshold epsilon
  * Experiments showed good results using epsilon = 0.0001.
  */
+@Description("Strategy to deactivate subswarms")
 public class ImprovementDeactivationStrategy implements InterfaceDeactivationStrategy, java.io.Serializable {
 
     private double epsilon = 0.0001;
@@ -46,18 +48,7 @@ public class ImprovementDeactivationStrategy implements InterfaceDeactivationStr
         return new ImprovementDeactivationStrategy(this);
     }
 
-    public String globalInfo() {
-        return "Strategy to deactivate subswarms";
-    }
-
-    /**
-     * *******************************************************************************************************************
-     * shouldDeactivateSubswarm
-     */
-
     public boolean isConverged(Population pop) {
-//		Vector<AbstractEAIndividual> bests = new Vector<AbstractEAIndividual>(pop.size());
-
         Vector<Double> bests = (Vector<Double>) pop.getEAIndividual(0).getData(NichePSO.fitArchiveKey);
         if (bests.size() < haltingWindow) {
             return false;

src/eva2/optimization/operator/nichepso/deactivation/StandardDeactivationStrategy.java

@@ -5,6 +5,7 @@ import eva2.optimization.population.Population;
 import eva2.optimization.strategies.NichePSO;
 import eva2.optimization.strategies.ParticleSubSwarmOptimization;
 import eva2.tools.EVAERROR;
+import eva2.util.annotation.Description;
 
 import java.util.Vector;
 
@@ -14,6 +15,7 @@ import java.util.Vector;
  * over the last 3 iterations is less or equal a given threshold epsilon
  * Experiments showed good results using epsilon = 0.0001.
  */
+@Description("Strategy to deactivate subswarms")
 public class StandardDeactivationStrategy implements InterfaceDeactivationStrategy, java.io.Serializable {
 
     private double epsilon = 0.0001;
@@ -46,28 +48,11 @@ public class StandardDeactivationStrategy implements InterfaceDeactivationStrate
         return new StandardDeactivationStrategy(this);
     }
 
-    public String globalInfo() {
-        return "Strategy to deactivate subswarms";
-    }
-
-/**********************************************************************************************************************
- * shouldDeactivateSubswarm
- */
     /**
      * @param pop
      * @return
      * @tested
      */
-//	public boolean areAllConverged(Population pop){
-//		for (int i = 0; i < pop.size(); ++i){
-//			AbstractEAIndividual currentindy = pop.getEAIndividual(i);
-//			Double sd = (Double)currentindy.getData(NichePSO.stdDevKey);
-//			if (sd.doubleValue() > getEpsilon()){
-//				return false; // particle not converged...
-//			}
-//		}
-//		return true;
-//	}
     public boolean areAllConverged(Population pop) {
         for (int i = 0; i < pop.size(); ++i) {
             AbstractEAIndividual currentindy = pop.getEAIndividual(i);

src/eva2/optimization/operator/nichepso/merging/ScatterMergingStrategy.java

@@ -1,6 +1,7 @@
 package eva2.optimization.operator.nichepso.merging;
 
 import eva2.optimization.strategies.ParticleSubSwarmOptimization;
+import eva2.util.annotation.Description;
 
 import java.util.Vector;
 
@@ -16,6 +17,7 @@ import java.util.Vector;
  * In IEEE Congress on Evolutionary Computation,
  * 2007.
  */
+@Description("Strategy to merge subswarms")
 public class ScatterMergingStrategy extends StandardMergingStrategy {
 
     public ScatterMergingStrategy() {
@@ -26,15 +28,6 @@ public class ScatterMergingStrategy extends StandardMergingStrategy {
         super(theMu);
     }
 
-    @Override
-    public String globalInfo() {
-        return "Strategy to merge subswarms";
-    }
-
-/**********************************************************************************************************************
- * mergeSubswarms
- */
-
     /**
      * @param i
      * @param j

src/eva2/optimization/operator/nichepso/merging/StandardMergingStrategy.java

@@ -5,6 +5,7 @@ import eva2.optimization.individuals.InterfaceESIndividual;
 import eva2.optimization.operator.distancemetric.EuclideanMetric;
 import eva2.optimization.operator.distancemetric.PhenotypeMetric;
 import eva2.optimization.strategies.ParticleSubSwarmOptimization;
+import eva2.util.annotation.Description;
 
 import java.util.Vector;
 
@@ -17,18 +18,11 @@ import java.util.Vector;
  * In Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02),
  * 2002, 2, 692-696
  */
+@Description("Strategy to merge subswarms")
 public class StandardMergingStrategy implements InterfaceMergingStrategy, java.io.Serializable {
 
     private double mu = 0.001; // "experimentally found to be effective" according to "a niching particle swarm optimizer" by Brits et al.
 
-    public String globalInfo() {
-        return "Strategy to merge subswarms";
-    }
-
-    /**
-     * *******************************************************************************************************************
-     * ctors
-     */
     public StandardMergingStrategy() {
 
     }
@@ -46,9 +40,6 @@ public class StandardMergingStrategy implements InterfaceMergingStrategy, java.i
         return new StandardMergingStrategy(this);
     }
 
-/**********************************************************************************************************************
- * shouldMergeSubswarms
- */
     /**
      * @tested the subswarms are merged, if they overlap (or are very close) and if they are of equal state
      * (non-Javadoc) @see javaeva.server.oa.go.Operators.NichePSO.InterfaceMergingStrategie#shouldMergeSubswarms(javaeva.server.oa.go.Strategies.ParticleSubSwarmOptimization, javaeva.server.oa.go.Strategies.ParticleSubSwarmOptimization)

src/eva2/optimization/operator/nichepso/subswarmcreation/StandardSubswarmCreationStrategy.java

@@ -4,6 +4,7 @@ import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.population.Population;
 import eva2.optimization.strategies.NichePSO;
 import eva2.optimization.strategies.ParticleSubSwarmOptimization;
+import eva2.util.annotation.Description;
 
 /**
  * The standard deviation in the fitness of each main swarm particle over the last 3 iterations is calculated.
@@ -15,6 +16,7 @@ import eva2.optimization.strategies.ParticleSubSwarmOptimization;
  * In Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02),
  * 2002, 2, 692-696
  */
+@Description("Strategy to create subswarms from the main swarm")
 public class StandardSubswarmCreationStrategy implements InterfaceSubswarmCreationStrategy, java.io.Serializable {
 
     protected double delta = 0.0001; //  "experimentally found to be effective" according to "a niching particle swarm optimizer" by Brits et al.
@@ -32,13 +34,6 @@ public class StandardSubswarmCreationStrategy implements InterfaceSubswarmCreati
         return new StandardSubswarmCreationStrategy(delta);
     }
 
-    public String globalInfo() {
-        return "Strategy to create subswarms from the main swarm";
-    }
-
-/**********************************************************************************************************************
- * shouldCreateSubswarm
- */
     /**
      * @param indy main swarm particle
      * @return

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

@@ -1,14 +1,14 @@
 package eva2.optimization.operator.paramcontrol;
 
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
 /**
  * Dummy implementation. This class is ignored by the Processor. Parameters will not be changed.
- *
- * @author mkron
  */
+@Description("Parameters will not be changed.")
 public class ConstantParameters extends AbstractParameterControl implements Serializable {
     public ConstantParameters() {
     }
@@ -35,8 +35,4 @@ public class ConstantParameters extends AbstractParameterControl implements Seri
     @Override
     public void updateParameters(Object obj) {
     }
-
-    public static String globalInfo() {
-        return "Parameters will not be changed.";
-    }
 }

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

@@ -4,6 +4,7 @@ import eva2.optimization.individuals.InterfaceDataTypeDouble;
 import eva2.optimization.operator.constraint.AbstractConstraint;
 import eva2.optimization.population.Population;
 import eva2.tools.math.Mathematics;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 import java.util.LinkedList;
@@ -14,11 +15,10 @@ import java.util.LinkedList;
  * if it was always infeasible, the penalty factor is increased. For other cases, the penalty remains the same.
  * This is plausible for the typical case that the optimum lies near the constraint boundary, however it makes
  * the fitness function change dynamically based only on the positions of last best indidivuals.
- * <p/>
+ * </p><p>
  * The authors advise to select betaInc != 1./betaDec to avoid cycling.
- *
- * @author mkron
  */
+@Description("Adapt a constraint's penalty factor (esp. fitness based) if the population contained only valid or only invalid individuals for some generations.")
 public class ConstraintBasedAdaption implements ParamAdaption, Serializable {
     private double betaInc = 1.5;
     private double betaDec = 0.7;
@@ -139,10 +139,6 @@ public class ConstraintBasedAdaption implements ParamAdaption, Serializable {
         return "The number of generations regarded.";
     }
 
-    public static String globalInfo() {
-        return "Adapt a constraint's penalty factor (esp. fitness based) if the population contained only valid or only invalid individuals for some generations.";
-    }
-
     @Override
     public void finish(Object obj, Population pop) {
         lastBestSatisfactionState.clear();

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

@@ -1,14 +1,14 @@
 package eva2.optimization.operator.paramcontrol;
 
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
 /**
  * Adapt a generic parameter using exponential decay.
- *
- * @author mkron
  */
+@Description("Exponential decay with a percental halving time.")
 public class ExponentialDecayAdaption implements ParamAdaption, GenericParamAdaption, Serializable {
     private double startValue = 0.2, halvingTimePerCent = 50;
     private double saturation = 0.;
@@ -85,10 +85,6 @@ public class ExponentialDecayAdaption implements ParamAdaption, GenericParamAdap
         return "Exp. adapt. " + target + " (" + startValue + "/" + halvingTimePerCent + ")";
     }
 
-    public static String globalInfo() {
-        return "Exponential decay with a percentual halving time.";
-    }
-
     @Override
     public void finish(Object obj, Population pop) {
     }

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

@@ -1,13 +1,14 @@
 package eva2.optimization.operator.paramcontrol;
 
+import eva2.util.annotation.Description;
+
 import java.io.Serializable;
 
 
 /**
  * Linearly adapt a specific target String parameter.
- *
- * @author mkron
  */
+@Description("Simple linear parameter adaption.")
 public class LinearParamAdaption extends AbstractLinearParamAdaption
         implements InterfaceHasUpperDoubleBound, GenericParamAdaption, Serializable {
     String target = "undefinedParameter";
@@ -42,10 +43,6 @@ public class LinearParamAdaption extends AbstractLinearParamAdaption
         this.target = target;
     }
 
-    public static String globalInfo() {
-        return "Simple linear parameter adaption.";
-    }
-
     public String[] customPropertyOrder() {
         return new String[]{"startV", "endV"};
     }

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

@@ -1,14 +1,14 @@
 package eva2.optimization.operator.paramcontrol;
 
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
 /**
  * A dummy implementation which does not do any adaption.
- *
- * @author mkron
  */
+@Description("A dummy implementation which will not change parameters.")
 public class NoParamAdaption implements ParamAdaption, Serializable {
 
     @Override
@@ -26,10 +26,6 @@ public class NoParamAdaption implements ParamAdaption, Serializable {
         return null;
     }
 
-    public static String globalInfo() {
-        return "A dummy implementation which will not change parameters.";
-    }
-
     @Override
     public void finish(Object obj, Population pop) {
     }

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

@@ -3,6 +3,7 @@ package eva2.optimization.operator.paramcontrol;
 import eva2.optimization.population.Population;
 import eva2.optimization.strategies.ParticleSwarmOptimization;
 import eva2.tools.math.Mathematics;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
@@ -18,9 +19,8 @@ import java.io.Serializable;
  * to work ok, although it depends on the defined target activity. I am not convinced that in general it is
  * easier to define than a constant constriction factor for the standard constricted PSO.
  * Still, the possibility to control the convergence behaviour based on time is nice, and it works quite good on F6, for example.
- *
- * @author mkron
  */
+@Description("Controls the inertness factor based on the average velocity.")
 public class PSOActivityFeedbackControl implements ParamAdaption, Serializable {
     private double minInert = 0.5;
     private double maxInert = 1;
@@ -155,10 +155,6 @@ public class PSOActivityFeedbackControl implements ParamAdaption, Serializable {
         return "The additive change of the inertness in each adaption step.";
     }
 
-    public static String globalInfo() {
-        return "Controls the inertness factor based on the average velocity.";
-    }
-
     @Override
     public void finish(Object obj, Population pop) {
     }

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

@@ -1,6 +1,7 @@
 package eva2.optimization.operator.paramcontrol;
 
 import eva2.gui.editor.GenericObjectEditor;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
@@ -9,9 +10,8 @@ import java.io.Serializable;
  * This only works if iterations are known. The new variant allows exponential adaption,
  * where the second parameter (endV) is interpreted as halfing time in percent of the
  * full run.
- *
- * @author mkron
  */
+@Description("Adapt the inertnessOrChi value of PSO.")
 public class PSOInertnessAdaption extends LinearParamAdaption implements Serializable {
 
     public PSOInertnessAdaption() {
@@ -31,8 +31,4 @@ public class PSOInertnessAdaption extends LinearParamAdaption implements Seriali
     public String endVTipText() {
         return "End value for the inertness";
     }
-
-    public static String globalInfo() {
-        return "Adapt the inertnessOrChi value of PSO.";
-    }
 }

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

@@ -4,6 +4,7 @@ import eva2.gui.BeanInspector;
 import eva2.optimization.modules.Processor;
 import eva2.optimization.population.Population;
 import eva2.tools.Pair;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 import java.util.ArrayList;
@@ -19,11 +20,11 @@ import java.util.Vector;
  * one fewer window layer) but there must be an additional method getParamControl implemented
  * which returns the ParameterControlManager to make it available to the Processor.
  *
- * @author mkron
  * @see ParamAdaption
  * @see Processor
  * @see AbstractParameterControl
  */
+@Description("Define a list of dynamically adapted parameters.")
 public class ParameterControlManager implements InterfaceParameterControl, Serializable {
     public Object[] initialValues = null;
     private ParamAdaption[] singleAdapters = new ParamAdaption[]{};
@@ -189,10 +190,6 @@ public class ParameterControlManager implements InterfaceParameterControl, Seria
         }
     }
 
-    public static String globalInfo() {
-        return "Define a list of dynamically adapted parameters.";
-    }
-
     public String getName() {
         return "ParameterControlManager";
     }

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

@@ -4,6 +4,7 @@ package eva2.optimization.operator.paramcontrol;
 //
 //import java.io.Serializable;
 //
+//import eva2.util.annotation.Description;
 //import eva2.tools.Mathematics;
 //
 ///**
@@ -15,6 +16,7 @@ package eva2.optimization.operator.paramcontrol;
 // * @author mkron
 // *
 // */
+//@Description("A single parameter may be adapted using linear interpolation or exponential decrease.")
 //public class SingleParamAdaption extends AbstractAdaptiveParameters implements Serializable {
 //	protected String[] params = null;
 //	private double startV;
@@ -87,10 +89,6 @@ package eva2.optimization.operator.paramcontrol;
 //		return "Select type of adaption.";
 //	}
 //	
-//	public static String globalInfo() {
-//		return "A single parameter may be adapted using linear interpolation or exponential decrease.";
-//	}
-//	
 //	@Override
 //	public double getAdaptionParameter(int controlledIndex, int paramIndex) {
 //		if (paramIndex==0) return startV;

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

@@ -1,6 +1,7 @@
 package eva2.optimization.operator.paramcontrol;
 
 import eva2.optimization.population.Population;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
@@ -9,9 +10,10 @@ import java.io.Serializable;
  * value with a given iteration period. The dampening is integrated as a sub-linear reduction of the
  * frequency, turning sin(t) into sin(((t+1)^d)-1) which is linear for d=1. For slightly smaller values,
  * the frequency slowly decreases, while for slightly larger values, it slowly increases.
- *
- * @author mkron
  */
+@Description("Sinusoidally oscillating value, the frequency may be varyied with time. E.g. use dampening 0.9 " +
+        "for a slightly decreasing frequency, dampening 1.1 for a slight increase. The frequency is modified " +
+        "in the form sin(t) -> sin(-1+(t+1)^d)")
 public class SinusoidalParamAdaption implements InterfaceHasUpperDoubleBound, ParamAdaption, GenericParamAdaption, Serializable {
     private double upperBnd = 1;
     private double lowerBnd = 0;
@@ -62,8 +64,6 @@ public class SinusoidalParamAdaption implements InterfaceHasUpperDoubleBound, Pa
         }
 
         res = medVal + (upperBnd - lowerBnd) * 0.5 * Math.sin(t);
-//		System.out.println("In " + this + " at " + iteration + ": " + res); 
-
         return res;
     }
 
@@ -71,12 +71,6 @@ public class SinusoidalParamAdaption implements InterfaceHasUpperDoubleBound, Pa
         return "SinAdapt(" + getControlledParam() + "_" + lowerBnd + "_" + upperBnd + "_" + iterationPeriod + ((dampening != 1) ? ("_dmp-" + dampening) : "") + ")";
     }
 
-    public String globalInfo() {
-        return "Sinusoidally oscillating value, the frequency may be varyied with time. E.g. use dampening 0.9 " +
-                "for a slightly decreasing frequency, dampening 1.1 for a slight increase. The frequency is modified " +
-                "in the form sin(t) -> sin(-1+(t+1)^d)";
-    }
-
     /**
      * Calculate sub-linear t as -1+(t+1)^dampeningExp
      *

src/eva2/optimization/operator/paretofrontmetrics/MetricD1ApproxParetoFront.java

@@ -7,14 +7,16 @@ import eva2.optimization.operator.archiving.ArchivingAllDominating;
 import eva2.optimization.population.Population;
 import eva2.problems.AbstractMultiObjectiveOptimizationProblem;
 import eva2.optimization.tools.FileTools;
+import eva2.util.annotation.Description;
 
 import java.util.ArrayList;
 
 /**
- * The D1* Pareto front metric requires a refrence Pareto front
+ * The D1* Pareto front metric requires a reference Pareto front
  * and calculate the distance between the true Pareto front and
  * the current solution.
  */
+@Description("This method calculates the mean distance of the approximated set to the true Pareto front.")
 public class MetricD1ApproxParetoFront implements eva2.optimization.operator.paretofrontmetrics.InterfaceParetoFrontMetric, java.io.Serializable {
     private PropertyFilePath inputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
     private String[] titles;
@@ -127,9 +129,6 @@ public class MetricD1ApproxParetoFront implements eva2.optimization.operator.par
         return result;
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -140,15 +139,6 @@ public class MetricD1ApproxParetoFront implements eva2.optimization.operator.par
         return "D1 P";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calculates the mean distance of the approximated set to the true Pareto front.";
-    }
-
     /**
      * This method allows you to set the path to the data file.
      *

src/eva2/optimization/operator/paretofrontmetrics/MetricD1TrueParetoFront.java

@@ -7,14 +7,16 @@ import eva2.optimization.operator.archiving.ArchivingAllDominating;
 import eva2.optimization.population.Population;
 import eva2.problems.AbstractMultiObjectiveOptimizationProblem;
 import eva2.optimization.tools.FileTools;
+import eva2.util.annotation.Description;
 
 import java.util.ArrayList;
 
 /**
- * The D1 Pareto front metric requires a refrence Pareto front
+ * The D1 Pareto front metric requires a reference Pareto front
  * and calculate the distance between the  current solution and
  * the true Pareto front.
  */
+@Description("This method calculates the mean distance of the true Pareto front to the approximated set.")
 public class MetricD1TrueParetoFront implements eva2.optimization.operator.paretofrontmetrics.InterfaceParetoFrontMetric, java.io.Serializable {
 
     private PropertyFilePath inputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
@@ -128,9 +130,6 @@ public class MetricD1TrueParetoFront implements eva2.optimization.operator.paret
         return result;
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -141,15 +140,6 @@ public class MetricD1TrueParetoFront implements eva2.optimization.operator.paret
         return "D1 P*";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calculates the mean distance of the true Pareto front to the approximated set.";
-    }
-
     /**
      * This method allows you to set the path to the data file.
      *

src/eva2/optimization/operator/paretofrontmetrics/MetricErrorRatio.java

@@ -1,21 +1,21 @@
 package eva2.optimization.operator.paretofrontmetrics;
 
-
 import eva2.gui.PropertyFilePath;
 import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.operator.archiving.ArchivingAllDominating;
 import eva2.optimization.population.Population;
 import eva2.problems.AbstractMultiObjectiveOptimizationProblem;
 import eva2.optimization.tools.FileTools;
+import eva2.util.annotation.Description;
 
 import java.util.ArrayList;
 
-
 /**
  * The error ratio metric only suited for small discrete
  * Pareto fronts, since it calculates the intersection between
  * the reference and the current solution.
  */
+@Description("This method calculates how many solutions are contained in the reference solution.")
 public class MetricErrorRatio implements eva2.optimization.operator.paretofrontmetrics.InterfaceParetoFrontMetric, java.io.Serializable {
     private PropertyFilePath inputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
     private double epsilon = 0.0001;
@@ -135,9 +135,6 @@ public class MetricErrorRatio implements eva2.optimization.operator.paretofrontm
         return false;
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -148,15 +145,6 @@ public class MetricErrorRatio implements eva2.optimization.operator.paretofrontm
         return "Error ratio";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calculates how many solutions are contained in the reference solution.";
-    }
-
     /**
      * This method allows you to set the path to the data file.
      *

src/eva2/optimization/operator/paretofrontmetrics/MetricMaximumParetoFrontError.java

@@ -7,6 +7,7 @@ import eva2.optimization.operator.archiving.ArchivingAllDominating;
 import eva2.optimization.population.Population;
 import eva2.problems.AbstractMultiObjectiveOptimizationProblem;
 import eva2.optimization.tools.FileTools;
+import eva2.util.annotation.Description;
 
 import java.util.ArrayList;
 
@@ -14,6 +15,7 @@ import java.util.ArrayList;
  * Maximum Pareto Front Error gives the maximum distance of all minimum distances of each
  * element in the current solution to the true Pareto front.
  */
+@Description("This method calculates the maximum distance to the reference.")
 public class MetricMaximumParetoFrontError implements eva2.optimization.operator.paretofrontmetrics.InterfaceParetoFrontMetric, java.io.Serializable {
     private PropertyFilePath inputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
     private String[] titles;
@@ -126,9 +128,6 @@ public class MetricMaximumParetoFrontError implements eva2.optimization.operator
         return result;
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -139,15 +138,6 @@ public class MetricMaximumParetoFrontError implements eva2.optimization.operator
         return "Maximum Pareto Front Error";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "This method calculates the maximum distance to the reference.";
-    }
-
     /**
      * This method allows you to set the path to the data file.
      *

src/eva2/optimization/operator/paretofrontmetrics/MetricOverallNonDominatedVectors.java

@@ -4,11 +4,13 @@ import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.operator.archiving.ArchivingAllDominating;
 import eva2.optimization.population.Population;
 import eva2.problems.AbstractMultiObjectiveOptimizationProblem;
+import eva2.util.annotation.Description;
 
 /**
  * Overall Non-Dom. Vector Generation calculates simply the number of
- * non-dominated solutions in the current soltuion set.
+ * non-dominated solutions in the current solution set.
  */
+@Description("Calculating the number of non dominated individuals.")
 public class MetricOverallNonDominatedVectors implements InterfaceParetoFrontMetric, java.io.Serializable {
 
     private ArchivingAllDominating dominating = new ArchivingAllDominating();
@@ -57,9 +59,6 @@ public class MetricOverallNonDominatedVectors implements InterfaceParetoFrontMet
         return tmpPop.size();
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -69,13 +68,4 @@ public class MetricOverallNonDominatedVectors implements InterfaceParetoFrontMet
     public String getName() {
         return "Overall Non-Dominated Vectors";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "Calculating the number of non dominated individuals.";
-    }
 }

src/eva2/optimization/operator/paretofrontmetrics/MetricS.java

@@ -5,10 +5,12 @@ import eva2.optimization.individuals.ESIndividualDoubleData;
 import eva2.optimization.operator.archiving.ArchivingAllDominating;
 import eva2.optimization.population.Population;
 import eva2.problems.AbstractMultiObjectiveOptimizationProblem;
+import eva2.util.annotation.Description;
 
 /**
  * S-Metric calculates the hyper-volume covered between the current solutions and a reference point.
  */
+@Description("Calculating the hypervolume UNDER the given Pareto-front.")
 public class MetricS implements InterfaceParetoFrontMetric, java.io.Serializable {
 
     private double[][] objectiveSpaceRange;
@@ -200,9 +202,6 @@ public class MetricS implements InterfaceParetoFrontMetric, java.io.Serializable
         return result;
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -212,13 +211,4 @@ public class MetricS implements InterfaceParetoFrontMetric, java.io.Serializable
     public String getName() {
         return "S-Metric";
     }
-
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "Calculating the hypervolume UNDER the given Pareto-front.";
-    }
 }

src/eva2/optimization/operator/paretofrontmetrics/MetricSWithReference.java

@@ -8,6 +8,7 @@ import eva2.optimization.operator.archiving.ArchivingAllDominating;
 import eva2.optimization.population.Population;
 import eva2.problems.AbstractMultiObjectiveOptimizationProblem;
 import eva2.optimization.tools.FileTools;
+import eva2.util.annotation.Description;
 
 import java.util.ArrayList;
 
@@ -15,6 +16,7 @@ import java.util.ArrayList;
  * S-Metric calculates the hyper-volume covered between the current solutions and a reference point.
  * But here the difference to a given hybervolume is to be minimized.
  */
+@Description("Difference between the current SMetric and the reference SMetric (curSM - refSM).")
 public class MetricSWithReference implements InterfaceParetoFrontMetric, java.io.Serializable {
     private double[][] objectiveSpaceRange;
     private PropertyFilePath inputFilePath = PropertyFilePath.getFilePathFromResource("MOPReference/T1_250.txt");
@@ -249,9 +251,6 @@ public class MetricSWithReference implements InterfaceParetoFrontMetric, java.io
         return result;
     }
 
-/**********************************************************************************************************************
- * These are for GUI
- */
     /**
      * This method allows the CommonJavaObjectEditorPanel to read the
      * name to the current object.
@@ -262,15 +261,6 @@ public class MetricSWithReference implements InterfaceParetoFrontMetric, java.io
         return "S-Metric";
     }
 
-    /**
-     * This method returns a global info string
-     *
-     * @return description
-     */
-    public static String globalInfo() {
-        return "Difference between the current SMetric and the reference SMetric (curSM - refSM).";
-    }
-
     /**
      * This method allows you to set the path to the data file.
      *