Changeset 5303 for branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test

Timestamp:

01/17/11 01:04:30 (13 years ago)

Author:

cneumuel

Message:

#1215

• manipulators for one and all parameters
• SolutionCache to avoid multiple evaluations of equal solutions
• RunsAnalyzer which stores all base level runs
• ItemDictionaryView for runs

File:

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

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

@@ -31 +31 @@
     //private static int baseAlgorithmMaxGenerations = 1000;
 
-    private static int metaAlgorithmPopulationSize = 7;
-    private static int metaAlgorithmMaxGenerations = 20;
-    private static int metaProblemRepetitions = 6;
-    private static int baseAlgorithmMaxGenerations = 50;
-    private static double mutationProbability = 0.35;
+    private static int metaAlgorithmPopulationSize = 10;
+    private static int metaAlgorithmMaxGenerations = 10;
+    private static int metaProblemRepetitions = 3;
+    private static int baseAlgorithmMaxGenerations = 20;
+    private static double mutationProbability = 0.00;
 
     static void Main(string[] args) {
@@ -57 +57 @@
       //TestMemoryConsumption();
       //TestNormalCrossover();
+      //TestItemDictionary();
 
       GeneticAlgorithm baseLevelAlgorithm = new GeneticAlgorithm();
@@ -62 +63 @@
       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);
 
@@ -84 +85 @@
 
       Console.ReadLine();
+    }
+
+    private static void TestItemDictionary() {
+      var dict = new ItemDictionary<StringValue, RunCollection>();
+      dict.Add(new StringValue("a"), new RunCollection());
+      dict.Add(new StringValue("b"), new RunCollection());
+      dict.Add(new StringValue("c"), new RunCollection());
+
+      Console.WriteLine(dict.ContainsKey(new StringValue("a")));
+      Console.WriteLine(dict.Count(x => x.Key.Value == "a"));
+
     }
 
@@ -491 +503 @@
       metaLevelAlgorithm.Engine = new SequentialEngine.SequentialEngine();
 
-      metaLevelAlgorithm.Mutator = ((OptionalConstrainedValueParameter<IManipulator>)((IAlgorithm)metaLevelAlgorithm).Parameters["Mutator"]).ValidValues.Last();
+      metaLevelAlgorithm.Mutator = ((OptionalConstrainedValueParameter<IManipulator>)((IAlgorithm)metaLevelAlgorithm).Parameters["Mutator"]).ValidValues.Where(x => x.GetType() == typeof(ParameterConfigurationOnePositionsManipulator)).Single();
+      //metaLevelAlgorithm.Mutator = ((OptionalConstrainedValueParameter<IManipulator>)((IAlgorithm)metaLevelAlgorithm).Parameters["Mutator"]).ValidValues.Where(x => x.GetType() == typeof(ParameterConfigurationAllPositionsManipulator)).Single();
 
       metaLevelAlgorithm.MutationProbability.Value = mutationProbability;
@@ -534 +547 @@
       ParameterConfigurationTree algorithmVc = metaOptimizationProblem.ParameterConfigurationTree;
 
-      //metaOptimizationProblem.Problems.Add(new HeuristicLab.Problems.TestFunctions.SingleObjectiveTestFunctionProblem() {
-      //  Evaluator = new GriewankEvaluator(),
-      //  ProblemSize = new IntValue(2)
-      //});
-      //metaOptimizationProblem.Problems.Add(new HeuristicLab.Problems.TestFunctions.SingleObjectiveTestFunctionProblem() {
-      //  Evaluator = new GriewankEvaluator(),
-      //  ProblemSize = new IntValue(20)
-      //});
       metaOptimizationProblem.Problems.Add(new HeuristicLab.Problems.TestFunctions.SingleObjectiveTestFunctionProblem() {
         Evaluator = new GriewankEvaluator(),
-        ProblemSize = new IntValue(50)
+        ProblemSize = new IntValue(2)
       });
+      metaOptimizationProblem.Problems.Add(new HeuristicLab.Problems.TestFunctions.SingleObjectiveTestFunctionProblem() {
+        Evaluator = new GriewankEvaluator(),
+        ProblemSize = new IntValue(20)
+      });
+      metaOptimizationProblem.Problems.Add(new HeuristicLab.Problems.TestFunctions.SingleObjectiveTestFunctionProblem() {
+        Evaluator = new GriewankEvaluator(),
+        ProblemSize = new IntValue(500)
+      });
 
       ConfigurePopulationSize(algorithmVc, 12, 100, 1);
-      ConfigureMutationRate(algorithmVc, 0.0, 1.0, 0.0001);
+      ConfigureMutationRate(algorithmVc, 0.0, 1.0, 0.01);
       ConfigureMutationOperator(algorithmVc);
       ConfigureElites(algorithmVc, 0, 10, 1);