Changeset 9569 for trunk/sources/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SASEGASA.cs

Timestamp:

06/03/13 14:39:36 (11 years ago)

Author:

mkommend

Message:

#2038: Added reevaluation of elites in ES, IslandGA, IslandOSGA, OSGA, SASEGASA, and RAPGA.

File:

• trunk/sources/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SASEGASA.cs (modified) (5 diffs)

trunk/sources/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/SASEGASA.cs

@@ -85 +85 @@
       get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
     }
+    private IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
+      get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
+    }
     private ValueLookupParameter<DoubleValue> SuccessRatioParameter {
       get { return (ValueLookupParameter<DoubleValue>)Parameters["SuccessRatio"]; }
@@ -160 +163 @@
       get { return ElitesParameter.Value; }
       set { ElitesParameter.Value = value; }
+    }
+    public bool ReevaluteElites {
+      get { return ReevaluateElitesParameter.Value.Value; }
+      set { ReevaluateElitesParameter.Value.Value = value; }
     }
     public DoubleValue SuccessRatio {
@@ -236 +243 @@
       if (successfulOffspringAnalyzer == null)
         successfulOffspringAnalyzer = new SuccessfulOffspringAnalyzer();
+      if (!Parameters.ContainsKey("ReevaluateElites")) {
+        Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", (BoolValue)new BoolValue(false).AsReadOnly()) { Hidden = true });
+      }
       #endregion
 
@@ -264 +274 @@
       Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
       Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
+      Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", new BoolValue(false)) { Hidden = true });
       Parameters.Add(new ValueLookupParameter<DoubleValue>("SuccessRatio", "The ratio of successful to total children that should be achieved.", new DoubleValue(1)));
       Parameters.Add(new ValueLookupParameter<DoubleValue>("ComparisonFactorLowerBound", "The lower bound of the comparison factor (start).", new DoubleValue(0.3)));
@@ -321 +332 @@
       mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
       mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
+      mainLoop.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
       mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
       mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;