Changeset 5313 for branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test

Timestamp:

01/17/11 19:17:51 (13 years ago)

Author:

cneumuel

Message:

#1215

• changed AlgorithType and ProblemType to actually be types not objects. this eliminates redundant views for MetaOptimizationProblem
• import algorithm for MetaOptimizationProblem
• nicer dialog for combination creation
• fixed iconimage for ParameterConfigurations
• fixed ValidValues

File:

• branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test/Program.cs (modified) (6 diffs)

branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test/Program.cs

@@ -33 +33 @@
     private static int metaAlgorithmPopulationSize = 10;
     private static int metaAlgorithmMaxGenerations = 10;
-    private static int metaProblemRepetitions = 3;
+    private static int metaProblemRepetitions = 10;
     private static int baseAlgorithmMaxGenerations = 20;
-    private static double mutationProbability = 0.00;
+    private static double mutationProbability = 0.10;
 
     static void Main(string[] args) {
@@ -59 +59 @@
       //TestItemDictionary();
 
-      GeneticAlgorithm baseLevelAlgorithm = new GeneticAlgorithm();
+      
 
       MetaOptimizationProblem metaOptimizationProblem = new MetaOptimizationProblem();
       metaOptimizationProblem.Repetitions = new IntValue(metaProblemRepetitions);
-      GeneticAlgorithm metaLevelAlgorithm = GetMetaGA(metaOptimizationProblem);
-      //GeneticAlgorithm metaLevelAlgorithm = GetParallelMetaGA(metaOptimizationProblem);
+      //GeneticAlgorithm metaLevelAlgorithm = GetMetaGA(metaOptimizationProblem);
+      GeneticAlgorithm metaLevelAlgorithm = GetParallelMetaGA(metaOptimizationProblem);
       //GeneticAlgorithm metaLevelAlgorithm = GetHiveParallelMetaGA(metaOptimizationProblem);
 
       //EvolutionStrategy metaLevelAlgorithm = GetMetaES(metaOptimizationProblem);
 
-      IValueConfiguration algorithmVc = SetupGAAlgorithm(baseLevelAlgorithm, metaOptimizationProblem);
+      IValueConfiguration algorithmVc = SetupGAAlgorithm(typeof(GeneticAlgorithm), metaOptimizationProblem);
 
       //TestToString(algorithmVc);
@@ -127 +127 @@
       ga.MaximumGenerations.Value = 1;
       ga.Engine = new SequentialEngine.SequentialEngine();
+      throw new NotImplementedException("TODO: set ga properties correctly");
 
       MetaOptimizationProblem metaOptimizationProblem = new MetaOptimizationProblem();
       metaOptimizationProblem.Repetitions = new IntValue(metaProblemRepetitions);
       GeneticAlgorithm metaLevelAlgorithm = GetMetaGA(metaOptimizationProblem);
-      ParameterConfigurationTree algorithmVc = SetupGAAlgorithm(ga, metaOptimizationProblem);
+      ParameterConfigurationTree algorithmVc = SetupGAAlgorithm(typeof(GeneticAlgorithm), metaOptimizationProblem);
       Stopwatch sw = new Stopwatch();
 
@@ -292 +293 @@
       ga.MaximumGenerations.Value = 1;
       ga.Engine = new SequentialEngine.SequentialEngine();
+      throw new NotImplementedException("TODO: Set ga parameters correctly");
 
       MetaOptimizationProblem metaOptimizationProblem = new MetaOptimizationProblem();
       metaOptimizationProblem.Repetitions = new IntValue(metaProblemRepetitions);
       GeneticAlgorithm metaLevelAlgorithm = GetMetaGA(metaOptimizationProblem);
-      ParameterConfigurationTree algorithmVc = SetupGAAlgorithm(ga, metaOptimizationProblem);
+      ParameterConfigurationTree algorithmVc = SetupGAAlgorithm(typeof(GeneticAlgorithm), metaOptimizationProblem);
       Stopwatch sw = new Stopwatch();
 
@@ -507 +509 @@
 
       metaLevelAlgorithm.MutationProbability.Value = mutationProbability;
+      //metaLevelAlgorithm.Selector = ((OptionalConstrainedValueParameter<ISelector>)((IAlgorithm)metaLevelAlgorithm).Parameters["Selector"]).ValidValues.Where(x => x.GetType() == typeof(LinearRankSelector)).Single();
+      //metaLevelAlgorithm.Selector = ((OptionalConstrainedValueParameter<ISelector>)((IAlgorithm)metaLevelAlgorithm).Parameters["Selector"]).ValidValues.Where(x => x.GetType() == typeof(TournamentSelector)).Single();
+      //metaLevelAlgorithm.Selector = ((OptionalConstrainedValueParameter<ISelector>)((IAlgorithm)metaLevelAlgorithm).Parameters["Selector"]).ValidValues.Where(x => x.GetType() == typeof(GenderSpecificSelector)).Single();
+      //metaLevelAlgorithm.Selector = ((OptionalConstrainedValueParameter<ISelector>)((IAlgorithm)metaLevelAlgorithm).Parameters["Selector"]).ValidValues.Where(x => x.GetType() == typeof(BestSelector)).Single();
+      metaLevelAlgorithm.Selector = ((OptionalConstrainedValueParameter<ISelector>)((IAlgorithm)metaLevelAlgorithm).Parameters["Selector"]).ValidValues.Where(x => x.GetType() == typeof(ProportionalSelector)).Single();
 
       return metaLevelAlgorithm;
@@ -540 +547 @@
     }
 
-    private static ParameterConfigurationTree SetupGAAlgorithm(GeneticAlgorithm baseLevelAlgorithm, MetaOptimizationProblem metaOptimizationProblem) {
-      baseLevelAlgorithm.Problem = new HeuristicLab.Problems.TestFunctions.SingleObjectiveTestFunctionProblem();
-      baseLevelAlgorithm.MaximumGenerations.Value = baseAlgorithmMaxGenerations;
-
-      metaOptimizationProblem.Algorithm = baseLevelAlgorithm;
+    private static ParameterConfigurationTree SetupGAAlgorithm(Type baseLevelAlgorithmType, MetaOptimizationProblem metaOptimizationProblem) {
+      metaOptimizationProblem.AlgorithmType.Value = baseLevelAlgorithmType;
+      metaOptimizationProblem.ProblemType.Value = typeof(SingleObjectiveTestFunctionProblem);
       ParameterConfigurationTree algorithmVc = metaOptimizationProblem.ParameterConfigurationTree;
+      ((IntValue)algorithmVc.ParameterConfigurations.Single(x => x.Name == "MaximumGenerations").ActualValue.Value).Value = baseAlgorithmMaxGenerations;
 
       metaOptimizationProblem.Problems.Add(new HeuristicLab.Problems.TestFunctions.SingleObjectiveTestFunctionProblem() {