Changeset 3336 for trunk/sources/HeuristicLab.Problems.TestFunctions

Timestamp:

04/13/10 18:32:07 (15 years ago)

Author:

abeham

Message:

updated Evolution Stratgy #932
StrategyParameters moved completely out of the ES into the encoding and problem, because they are inherently problem specific
The ProblemDimension and a few other parameters of ES were removed
Fixed a few bugs also and added some documentation

File:

• trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/SingleObjectiveTestFunctionProblem.cs (modified) (5 diffs)

trunk/sources/HeuristicLab.Problems.TestFunctions/3.3/SingleObjectiveTestFunctionProblem.cs

@@ -39 +39 @@
   [Creatable("Problems")]
   public sealed class SingleObjectiveTestFunctionProblem : ParameterizedNamedItem, ISingleObjectiveProblem {
+    [Storable]
+    private StrategyVectorCreator strategyVectorCreator;
+    [Storable]
+    private StrategyVectorCrossover strategyVectorCrossover;
+    [Storable]
+    private StrategyVectorManipulator strategyVectorManipulator;
+
     public override Image ItemImage {
       get { return HeuristicLab.Common.Resources.VS2008ImageLibrary.Type; }
@@ -144 +151 @@
       Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this TSP instance.", new DoubleValue(evaluator.BestKnownQuality)));
 
+      strategyVectorCreator = new StrategyVectorCreator();
+      strategyVectorCreator.LengthParameter.ActualName = ProblemSizeParameter.Name;
+      strategyVectorCrossover = new StrategyVectorCrossover();
+      strategyVectorManipulator = new StrategyVectorManipulator();
+
       creator.RealVectorParameter.ActualName = "Point";
       ParameterizeSolutionCreator();
@@ -184 +196 @@
     }
     private void ProblemSize_ValueChanged(object sender, EventArgs e) {
+      if (ProblemSize.Value < 1) ProblemSize.Value = 1;
       ParameterizeSolutionCreator();
+      strategyVectorManipulator.GeneralLearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * ProblemSize.Value));
+      strategyVectorManipulator.LearningRateParameter.Value = new DoubleValue(1.0 / Math.Sqrt(2 * Math.Sqrt(ProblemSize.Value)));
     }
     private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
@@ -249 +264 @@
         }
       }
+    }
+    private void strategyVectorCreator_BoundsParameter_ValueChanged(object sender, EventArgs e) {
+      strategyVectorManipulator.BoundsParameter.Value = strategyVectorCreator.BoundsParameter.Value;
+    }
+    private void strategyVectorCreator_StrategyParameterParameter_ActualNameChanged(object sender, EventArgs e) {
+      string name = strategyVectorCreator.StrategyParameterParameter.ActualName;
+      strategyVectorCrossover.ParentsParameter.ActualName = name;
+      strategyVectorCrossover.StrategyParameterParameter.ActualName = name;
+      strategyVectorManipulator.StrategyParameterParameter.ActualName = name;
     }
     #endregion
@@ -266 +290 @@
       Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
       VisualizerParameter.ValueChanged += new EventHandler(VisualizerParameter_ValueChanged);
+      strategyVectorCreator.BoundsParameter.ValueChanged += new EventHandler(strategyVectorCreator_BoundsParameter_ValueChanged);
+      strategyVectorCreator.StrategyParameterParameter.ActualNameChanged += new EventHandler(strategyVectorCreator_StrategyParameterParameter_ActualNameChanged);
     }
     private void InitializeOperators() {
       operators = new List<IOperator>();
       operators.AddRange(ApplicationManager.Manager.GetInstances<IRealVectorOperator>().Cast<IOperator>());
+      operators.Add(strategyVectorCreator);
+      operators.Add(strategyVectorCrossover);
+      operators.Add(strategyVectorManipulator);
       UpdateMoveEvaluators();
       ParameterizeOperators();