Cleanup.

src/eva2/optimization/strategies/BinaryScatterSearch.java

@@ -727,10 +727,6 @@ public class BinaryScatterSearch extends AbstractOptimizer implements java.io.Se
         this.refSetSize = pop.getTargetSize();
     }
 
-    public String populationTipText() {
-        return "The Population";
-    }
-
     @Override
     public InterfaceSolutionSet getAllSolutions() {
         return new SolutionSet(this.refSet);

src/eva2/optimization/strategies/ClusteringHillClimbing.java

@@ -261,10 +261,6 @@ public class ClusteringHillClimbing implements InterfacePopulationChangedEventLi
         this.population = pop;
     }
 
-    public String populationTipText() {
-        return "Change the number of starting individuals stored (Cluster-HC).";
-    }
-
     @Override
     public InterfaceSolutionSet getAllSolutions() {
         Population tmp = new Population();

src/eva2/optimization/strategies/DifferentialEvolution.java

@@ -689,11 +689,6 @@ public class DifferentialEvolution extends AbstractOptimizer implements java.io.
         return "Differential Evolution";
     }
 
-
-    public String populationTipText() {
-        return "Edit the properties of the population used.";
-    }
-
     @Override
     public InterfaceSolutionSet getAllSolutions() {
         return new SolutionSet(this.population);

src/eva2/optimization/strategies/EvolutionaryProgramming.java

@@ -138,11 +138,6 @@ public class EvolutionaryProgramming extends AbstractOptimizer implements java.i
         return "EP";
     }
 
-
-    public String populationTipText() {
-        return "Edit the properties of the population used.";
-    }
-
     @Override
     public InterfaceSolutionSet getAllSolutions() {
         return new SolutionSet(getPopulation());

src/eva2/optimization/strategies/FloodAlgorithm.java

@@ -9,6 +9,7 @@ import eva2.optimization.population.SolutionSet;
 import eva2.problems.B1Problem;
 import eva2.problems.InterfaceOptimizationProblem;
 import eva2.util.annotation.Description;
+import eva2.util.annotation.Parameter;
 
 /**
  * The flood algorithm, and alternative to the threshold algorithms. No really
@@ -26,6 +27,8 @@ public class FloodAlgorithm extends AbstractOptimizer implements java.io.Seriali
     private int fitnessCallsNeeded = 0;
     GAIndividualBinaryData bestIndividual, testIndividual;
     public double initialFloodPeak = 2000.0, currentFloodPeak;
+
+    @Parameter(name = "drainRate", description = "Set the drain rate that reduces the current flood level each generation.")
     public double drainRate = 1.0;
 
     public FloodAlgorithm() {
@@ -193,17 +196,13 @@ public class FloodAlgorithm extends AbstractOptimizer implements java.io.Seriali
         return "MS-FA";
     }
 
-    public String populationTipText() {
-        return "Change the number of best individuals stored (MS-FA).";
-    }
-
     @Override
     public InterfaceSolutionSet getAllSolutions() {
         return new SolutionSet(getPopulation());
     }
 
     /**
-     * This methods allow you to set/get the temperatur of the flood algorithm
+     * This methods allow you to set/get the temperature of the flood algorithm
      * procedure
      *
      * @return The initial flood level.
@@ -236,8 +235,4 @@ public class FloodAlgorithm extends AbstractOptimizer implements java.io.Seriali
             this.drainRate = 0.0;
         }
     }
-
-    public String drainRateTipText() {
-        return "Set the drain rate that reduces the current flood level each generation.";
-    }
 }

src/eva2/optimization/strategies/HillClimbing.java

@@ -139,8 +139,4 @@ public class HillClimbing extends AbstractOptimizer implements java.io.Serializa
     public InterfaceSolutionSet getAllSolutions() {
         return new SolutionSet(getPopulation());
     }
-
-    public String populationTipText() {
-        return "Change the number of best individuals stored (MS-HC).";
-    }
 }

src/eva2/optimization/strategies/MemeticAlgorithm.java

@@ -250,10 +250,6 @@ public class MemeticAlgorithm implements InterfaceOptimizer, java.io.Serializabl
         this.globalOptimizer.setPopulation(pop);
     }
 
-    public String populationTipText() {
-        return "Edit the properties of the population used.";
-    }
-
     /**
      * Choose the global optimization strategy to use
      *

src/eva2/optimization/strategies/MultiObjectiveEA.java

@@ -242,10 +242,6 @@ public class MultiObjectiveEA implements InterfaceOptimizer, java.io.Serializabl
         this.optimizer.setPopulation(pop);
     }
 
-    public String populationTipText() {
-        return "Edit the properties of the Population used.";
-    }
-
     @Override
     public InterfaceSolutionSet getAllSolutions() {
         return new SolutionSet(getPopulation(), ArchivingNSGAII.getNonDominatedSortedFront(getPopulation().getArchive()).getSortedPop(new EAIndividualComparator(0)));

src/eva2/optimization/strategies/SteadyStateGA.java

@@ -144,11 +144,6 @@ public class SteadyStateGA extends AbstractOptimizer implements java.io.Serializ
         return "SS-GA";
     }
 
-
-    public String populationTipText() {
-        return "Edit the properties of the population used.";
-    }
-
     @Override
     public InterfaceSolutionSet getAllSolutions() {
         return new SolutionSet(getPopulation());