Changeset 6489 for branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test

Timestamp:

06/27/11 23:56:35 (13 years ago)

Author:

cneumuel

Message:

#1215

• fixed issue with multiple problems (by introducing valuesReadOnly to IOptimizable)
• fixed error message when removing last problem instance
• made quality measure name configurable

File:

• branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test/Program.cs (modified) (8 diffs)

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

@@ -24 +24 @@
 using HeuristicLab.Problems.MetaOptimization;
 using HeuristicLab.Problems.TestFunctions;
-using HeuristicLab.Problems.TravelingSalesman;
 using HeuristicLab.Random;
 using HeuristicLab.Selection;
@@ -49 +48 @@
     //private static double mutationProbability = 0.10;
 
-    private static int metaAlgorithmPopulationSize = 30;
+    private static int metaAlgorithmPopulationSize = 3;
     private static int metaAlgorithmMaxGenerations = 10;
     private static double metaAlgorithmMutationProbability = 0.10;
-    private static int metaProblemRepetitions = 3;
-    private static int baseAlgorithmMaxGenerations = 20;
-    private static int baseAlgorithmPopulationSize = 100;
+    private static int metaProblemRepetitions = 2;
+    private static int baseAlgorithmMaxGenerations = 1;
+    private static int baseAlgorithmPopulationSize = 5;
 
     public override void Run() {
@@ -87 +86 @@
 
       //TestSymbolicDataAnalysisGrammar(); return;
-      TestObjectGraphObjectsTraversal(); return;
+      //TestObjectGraphObjectsTraversal(); return;
       //TestParameterizedItem(); return;
 
@@ -93 +92 @@
       //var algorithmVc = metaOptimizationProblem.ParameterConfigurationTree;
 
-      var metaOptimizationProblem = new MetaOptimizationProblem();
-      var algorithmVc = SetupGAAlgorithm(typeof(GeneticAlgorithm), metaOptimizationProblem);
+      //var metaOptimizationProblem = new MetaOptimizationProblem();
+      //var algorithmVc = SetupGAAlgorithm(typeof(GeneticAlgorithm), metaOptimizationProblem);
+
+      // import classification 4 problems
+      var metaOptimizationProblem = ((MetaOptimizationProblem)ContentManager.Load("MetaOpt GA,OSGA,Classification (melanoma,respiratory,wisconsin,prostata),MSE-Evaluator_test.hl"));
+      metaOptimizationProblem.QualityMeasureNameParameter.Value.Value = "Best training solution.Mean squared error (test)";
 
       metaOptimizationProblem.Repetitions = new IntValue(metaProblemRepetitions);
-      //GeneticAlgorithm metaLevelAlgorithm = GetSequentialMetaGA(metaOptimizationProblem);
-      GeneticAlgorithm metaLevelAlgorithm = GetParallelMetaGA(metaOptimizationProblem);
+      GeneticAlgorithm metaLevelAlgorithm = GetSequentialMetaGA(metaOptimizationProblem);
+      //GeneticAlgorithm metaLevelAlgorithm = GetParallelMetaGA(metaOptimizationProblem);
       //GeneticAlgorithm metaLevelAlgorithm = GetHiveParallelMetaGA(metaOptimizationProblem);
       //EvolutionStrategy metaLevelAlgorithm = GetMetaES(metaOptimizationProblem);
@@ -105 +108 @@
       //TestConfiguration(algorithmVc, typeof(GeneticAlgorithm), metaOptimizationProblem.Problems.First());
 
-      Console.WriteLine("Press enter to start"); Console.ReadLine();
+      //Console.WriteLine("Press enter to start"); Console.ReadLine();
       TestOptimization(metaLevelAlgorithm);
 
@@ -809 +812 @@
 
       // tsp
-      metaOptimizationProblem.ProblemType.Value = typeof(TravelingSalesmanProblem);
+      //metaOptimizationProblem.ProblemType.Value = typeof(TravelingSalesmanProblem);
 
       ParameterConfigurationTree algorithmVc = metaOptimizationProblem.ParameterConfigurationTree;
@@ -815 +818 @@
       ((IntValue)algorithmVc.AlgorithmConfiguration.ParameterConfigurations.Single(x => x.Name == "PopulationSize").ActualValue.Value).Value = baseAlgorithmPopulationSize;
 
-      ConfigurePopulationSize(algorithmVc, 10, 100, 1);
-      ConfigureMutationRate(algorithmVc, 0.0, 1.0, 0.01);
-      ConfigureMutationOperator(algorithmVc);
-      ConfigureElites(algorithmVc, 0, 10, 1);
-      ConfigureSelectionOperator(algorithmVc, true);
+      //ConfigurePopulationSize(algorithmVc, 10, 100, 1);
+      //ConfigureMutationRate(algorithmVc, 0.0, 1.0, 0.01);
+      //ConfigureMutationOperator(algorithmVc);
+      //ConfigureElites(algorithmVc, 0, 5, 1);
+      //ConfigureSelectionOperator(algorithmVc, true);
 
       //ConfigureSymbolicExpressionGrammar(algorithmVc);
@@ -1052 +1055 @@
 
         StringBuilder sb1 = new StringBuilder();
-        sb1.AppendFormat("Meta.PopulationSize: {0}\n", metaAlgorithmPopulationSize);
-        sb1.AppendFormat("Meta.MaxGenerations: {0}\n", metaAlgorithmMaxGenerations);
-        sb1.AppendFormat("Meta.Repetitions   : {0}\n", metaProblemRepetitions);
-        sb1.AppendFormat("Meta.MutProb       : {0}\n", ((GeneticAlgorithm)metaLevelAlgorithm).MutationProbability.Value);
-        sb1.AppendFormat("Meta.Seed          : {0}\n", ((GeneticAlgorithm)metaLevelAlgorithm).Seed.Value);
-        sb1.AppendFormat("Base.MaxGenerations: {0}\n", baseAlgorithmMaxGenerations);
+        sb1.AppendFormat("Meta-PopulationSize: {0}\n", metaAlgorithmPopulationSize);
+        sb1.AppendFormat("Meta-MaxGenerations: {0}\n", metaAlgorithmMaxGenerations);
+        sb1.AppendFormat("Meta-Repetitions   : {0}\n", metaProblemRepetitions);
+        sb1.AppendFormat("Meta-MutProb       : {0}\n", ((GeneticAlgorithm)metaLevelAlgorithm).MutationProbability.Value);
+        sb1.AppendFormat("Meta-Seed          : {0}\n", ((GeneticAlgorithm)metaLevelAlgorithm).Seed.Value);
+        sb1.AppendFormat("Base-MaxGenerations: {0}\n", baseAlgorithmMaxGenerations);
 
         sb1.AppendLine("Problems:");