Fix globalInfo/annotations.

src/eva2/OptimizerFactory.java

@@ -39,8 +39,10 @@ import java.util.List;
 /**
  * <p> The OptimizerFactory allows quickly creating some optimizers without
  * thinking much about parameters. You can access a runnable Optimization thread
- * and directly start it, or access its fully prepared GOParameter instance,
+ * and directly start it, or access its fully prepared OptimizationParameter instance,
- * change some parameters, and start it then. </p> <p> On the other hand this
+ * change some parameters, and start it then.
+ * </p> <p>
+ * On the other hand this
  * class provides an almost complete list of all currently available
  * optimization procedures in EvA2. The arguments passed to the methods
  * initialize the respective optimization procedure. To perform an optimization
@@ -50,12 +52,6 @@ import java.util.List;
  * EvaluationTerminator terminator = new EvaluationTerminator(numOfFitnessCalls);
  * while (!terminator.isTerminated(optimizer.getPopulation())) optimizer.optimize();
  * </code> </p>
- *
- * @author mkron
- * @author Andreas Dr&auml;ger
- * @version 0.1
- * @date 17.04.2007
- * @since 2.0
  */
 public class OptimizerFactory {
 

src/eva2/optimization/operator/terminators/CombinedTerminator.java

@@ -8,7 +8,7 @@ import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
-@Description(value = "Boolean combination of two terminators.")
+@Description("Boolean combination of two terminators.")
 public class CombinedTerminator implements InterfaceTerminator, Serializable {
     /**
      *

src/eva2/optimization/operator/terminators/DiversityTerminator.java

@@ -4,6 +4,7 @@ import eva2.optimization.operator.distancemetric.InterfaceDistanceMetric;
 import eva2.optimization.operator.distancemetric.PhenotypeMetric;
 import eva2.optimization.population.Population;
 import eva2.optimization.population.PopulationInterface;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
@@ -14,9 +15,10 @@ import java.io.Serializable;
  * May be computationally expensive.
  *
  * @author mkron
- * @see Population.getPopulationMeasures()
+ * @see Population#getPopulationMeasures()
  * @see PhenotypeMetric
  */
+@Description("The diversity terminator uses the distance of individuals in the population as a termination criterion.")
 public class DiversityTerminator extends PopulationMeasureTerminator implements InterfaceTerminator, Serializable {
     public enum DiversityCriterion {averageDistance, minimumDistance, maximumDistance}
 
@@ -35,10 +37,6 @@ public class DiversityTerminator extends PopulationMeasureTerminator implements
         this.criterion = divCrit;
     }
 
-    public static String globalInfo() {
-        return "The diversity terminator uses the distance of individuals in the population as a termination criterion.";
-    }
-
     /**
      * @return the metric
      */

src/eva2/optimization/operator/terminators/EvaluationTerminator.java

@@ -35,7 +35,7 @@ public class EvaluationTerminator implements InterfaceTerminator,
     /**
      * Construct Terminator with a maximum number of fitness calls.
      *
-     * @param maximum number of fitness calls
+     * @param x number of fitness calls
      */
     public EvaluationTerminator(int x) {
         maxFitnessCalls = x;
@@ -68,12 +68,10 @@ public class EvaluationTerminator implements InterfaceTerminator,
     }
 
     public void setFitnessCalls(int x) {
-        //System.out.println("setFitnessCalls"+x);
         maxFitnessCalls = x;
     }
 
     public int getFitnessCalls() {
-        //System.out.println("getFitnessCalls"+maxFitnessCalls);
         return maxFitnessCalls;
     }
 }

src/eva2/optimization/operator/terminators/FitnessConvergenceTerminator.java

@@ -2,6 +2,7 @@ package eva2.optimization.operator.terminators;
 
 import eva2.optimization.population.PopulationInterface;
 import eva2.tools.math.Mathematics;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
@@ -12,6 +13,7 @@ import java.io.Serializable;
  *
  * @see PopulationMeasureTerminator
  */
+@Description("Stop if a fitness convergence criterion has been met.")
 public class FitnessConvergenceTerminator extends PopulationMeasureTerminator
         implements InterfaceTerminator, Serializable {
 
@@ -27,10 +29,6 @@ public class FitnessConvergenceTerminator extends PopulationMeasureTerminator
         super(other);
     }
 
-    public static String globalInfo() {
-        return "Stop if a fitness convergence criterion has been met.";
-    }
-
     @Override
     protected double calcInitialMeasure(PopulationInterface pop) {
         return Mathematics.norm(pop.getBestFitness());

src/eva2/optimization/operator/terminators/FitnessValueTerminator.java

@@ -4,12 +4,14 @@ import eva2.gui.BeanInspector;
 import eva2.optimization.population.InterfaceSolutionSet;
 import eva2.optimization.population.PopulationInterface;
 import eva2.problems.InterfaceOptimizationProblem;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
 /**
  *
  */
+@Description("Terminate if a certain fitness value has been reached.")
 public class FitnessValueTerminator implements InterfaceTerminator,
         Serializable {
     protected double[] fitnessValue;
@@ -27,13 +29,6 @@ public class FitnessValueTerminator implements InterfaceTerminator,
         msg = "Not terminated.";
     }
 
-    /**
-     *
-     */
-    public static String globalInfo() {
-        return "Terminate if a certain fitness value has been reached.";
-    }
-
     /**
      *
      */

src/eva2/optimization/operator/terminators/KnownOptimaFoundTerminator.java

@@ -6,6 +6,7 @@ import eva2.optimization.population.PopulationInterface;
 import eva2.problems.InterfaceMultimodalProblemKnown;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.EVAERROR;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 import java.util.logging.Level;
@@ -16,9 +17,8 @@ import java.util.logging.Logger;
  * implements InterfaceMultimodalProblemKnown. A population is regarded as terminated
  * if the preset number of optima is identified.
  * For any other problem types, this terminator will not make sense, so take care.
- *
- * @author mkron
  */
+@Description("Terminate if a given number of optima has been found. Works for problems implementing InterfaceMultimodalProblemKnown, e.g. FM0.")
 public class KnownOptimaFoundTerminator implements InterfaceTerminator, Serializable {
     private Logger LOGGER = Logger.getLogger(KnownOptimaFoundTerminator.class.getName());
     private InterfaceMultimodalProblemKnown mProblem = null;
@@ -90,8 +90,4 @@ public class KnownOptimaFoundTerminator implements InterfaceTerminator, Serializ
     public String toString() {
         return "KnownOptimaFoundTerminator requiring " + reqOptima + " optima.";
     }
-
-    public static String globalInfo() {
-        return "Terminate if a given number of optima has been found. Works for problems implementing InterfaceMultimodalProblemKnown, e.g. FM0.";
-    }
 }

src/eva2/optimization/operator/terminators/ParetoMetricTerminator.java

@@ -8,6 +8,7 @@ import eva2.optimization.population.PopulationInterface;
 import eva2.problems.AbstractMultiObjectiveOptimizationProblem;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.tools.EVAERROR;
+import eva2.util.annotation.Description;
 
 import java.io.Serializable;
 
@@ -17,9 +18,10 @@ import java.io.Serializable;
  * on the fitness range.
  * The metric may be employed on the current population or the current pareto front
  * maintained by the problem instance.
- *
- * @author mkron
  */
+@Description("Terminate if the pareto front of a multi-objective optimization process converges " +
+        "with respect to a certain measure. Note that this only works with " +
+        "AbstractMultiObjectiveOptimizationProblem instances.")
 public class ParetoMetricTerminator extends PopulationMeasureTerminator implements Serializable {
     private InterfaceParetoFrontMetric pMetric = new MetricS();
     AbstractMultiObjectiveOptimizationProblem moProb = null;
@@ -87,12 +89,6 @@ public class ParetoMetricTerminator extends PopulationMeasureTerminator implemen
         }
     }
 
-    public static String globalInfo() {
-        return "Terminate if the pareto front of a multi-objective optimization process converges " +
-                "with respect to a certain measure. Note that this only works with " +
-                "AbstractMultiObjectiveOptimizationProblem instances.";
-    }
-
     public void setParetoMetric(InterfaceParetoFrontMetric pMetric) {
         this.pMetric = pMetric;
     }

src/eva2/optimization/operator/terminators/PhenotypeConvergenceTerminator.java

@@ -4,11 +4,12 @@ import eva2.optimization.individuals.AbstractEAIndividual;
 import eva2.optimization.operator.distancemetric.PhenotypeMetric;
 import eva2.optimization.population.PopulationInterface;
 import eva2.problems.InterfaceOptimizationProblem;
+import eva2.util.annotation.Description;
 
+@Description("Terminate if the best individual of the current population moved less than a threshold within phenotypic space.")
 public class PhenotypeConvergenceTerminator extends PopulationMeasureTerminator implements InterfaceTerminator {
     AbstractEAIndividual oldIndy = null;
     private PhenotypeMetric pMetric = null;
-//	double oldPhenNorm = 0;
 
     public PhenotypeConvergenceTerminator() {
         super();
@@ -24,20 +25,17 @@ public class PhenotypeConvergenceTerminator extends PopulationMeasureTerminator
         super(o);
         oldIndy = (AbstractEAIndividual) o.oldIndy.clone();
         pMetric = (PhenotypeMetric) o.pMetric.clone();
-//		oldPhenNorm = o.oldPhenNorm;
     }
 
     @Override
     public void initialize(InterfaceOptimizationProblem prob) {
         super.initialize(prob);
-//		oldPhenNorm  = 0;
         oldIndy = null;
     }
 
     @Override
     protected double calcInitialMeasure(PopulationInterface pop) {
         oldIndy = (AbstractEAIndividual) ((AbstractEAIndividual) pop.getBestIndividual()).clone();
-//		oldPhenNorm = PhenotypeMetric.norm(oldIndy);
         return Double.MAX_VALUE;
     }
 
@@ -50,15 +48,10 @@ public class PhenotypeConvergenceTerminator extends PopulationMeasureTerminator
     protected void saveState(PopulationInterface Pop) {
         super.saveState(Pop);
         oldIndy = (AbstractEAIndividual) ((AbstractEAIndividual) Pop.getBestIndividual()).clone();
-//		oldPhenNorm = PhenotypeMetric.norm(oldIndy);
     }
 
     @Override
     protected String getMeasureName() {
         return "Phenotype";
     }
-
-    public static String globalInfo() {
-        return "Terminate if the best individual of the current population moved less than a threshold within phenotypic space.";
-    }
 }

src/eva2/optimization/operator/terminators/PopulationArchiveTerminator.java

@@ -3,20 +3,16 @@ package eva2.optimization.operator.terminators;
 import eva2.optimization.individuals.IndividualWeightedFitnessComparator;
 import eva2.optimization.population.Population;
 import eva2.optimization.population.PopulationInterface;
+import eva2.util.annotation.Description;
 
 /**
  * Terminate if a score based on the archive of the population converges.
  * Note that this only works if the archive is filled with sensible data.
- *
- * @author mkron
  */
+@Description("Stop if a linear recombination of the best fitness stagnates for a certain period.")
 public class PopulationArchiveTerminator extends PopulationMeasureTerminator {
     IndividualWeightedFitnessComparator wfComp = new IndividualWeightedFitnessComparator(new double[]{1.});
 
-    public static String globalInfo() {
-        return "Stop if a linear recombination of the best fitness stagnates for a certain period.";
-    }
-
     @Override
     protected double calcInitialMeasure(PopulationInterface pop) {
         Population archive = ((Population) pop).getArchive();