Changeset 5111 for branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test/Program.cs

Timestamp:

12/15/10 23:41:33 (14 years ago)

Author:

cneumuel

Message:

#1215

• improved exchangeability of crossover and mutation operators for parameter values

Location:

branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test

Files:

• . (modified) (1 prop)
• Program.cs (modified) (9 diffs)

branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test

@@ -1 +1 @@
 bin
 obj
+HeuristicLab.MetaOptimization.Test.csproj.user

@@ -1 +1 @@
 bin
 obj
+HeuristicLab.MetaOptimization.Test.csproj.user

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

@@ -22 +22 @@
 namespace HeuristicLab.MetaOptimization.Test {
   class Program {
-    private static int metaAlgorithmPopulationSize = 3;
+    private static int metaAlgorithmPopulationSize = 50;
     private static int metaAlgorithmMaxGenerations = 30;
-    private static int metaProblemRepetitions = 3;
-
-    private static int baseAlgorithmMaxGenerations = 3;
+    private static int metaProblemRepetitions = 6;
+
+    private static int baseAlgorithmMaxGenerations = 250;
 
     static void Main(string[] args) {
@@ -34 +34 @@
       //TestDoubleSampling();
       //TestTypeDiscovery();
+      //TestOperators();
       
       GeneticAlgorithm baseLevelAlgorithm = new GeneticAlgorithm();
@@ -53 +54 @@
 
       //TestMemoryLeak(metaLevelAlgorithm);
+
+      Console.ReadLine();
+    }
+
+    private static void TestOperators() {
+      IRandom random = new MersenneTwister();
+      ParameterConfigurationManipulator manip = new ParameterConfigurationManipulator();
+
+      manip.IntValueManipulatorParameter.ActualValue = new UniformIntValueManipulator();
+      manip.DoubleValueManipulatorParameter.ActualValue = new NormalDoubleValueManipulator();
+      
+      var doubleRange = new DoubleValueRange(new DoubleValue(0), new DoubleValue(100), new DoubleValue(0.1));
+      using (var sw = new StreamWriter("out-DoubleValue.txt")) {
+        for (int i = 0; i < 10000; i++) {
+          var val = new DoubleValue(50);
+          NormalDoubleValueManipulator.ApplyStatic(random, val, doubleRange);
+          
+          sw.WriteLine(val);
+        }
+      }
+
+      var percentRange = new PercentValueRange(new PercentValue(0), new PercentValue(1), new PercentValue(0.001));
+      using (var sw = new StreamWriter("out-PercentValue.txt")) {
+        for (int i = 0; i < 10000; i++) {
+          var val = new PercentValue(0.5);
+          NormalDoubleValueManipulator.ApplyStatic(random, val, percentRange.AsDoubleValueRange());
+          sw.WriteLine(val);
+        }
+      }
+
+      var intRange = new IntValueRange(new IntValue(0), new IntValue(100), new IntValue(1));
+      using (var sw = new StreamWriter("out-IntValue.txt")) {
+        for (int i = 0; i < 10000; i++) {
+          var val = new IntValue(50);
+          UniformIntValueManipulator.ApplyStatic(random, val, intRange);
+          sw.WriteLine(val);
+        }
+      }
 
       Console.ReadLine();
@@ -145 +184 @@
       for (int i = 0; i < 10; i++) {
         IValueConfiguration clonedVc = (IValueConfiguration)algorithmVc.Clone();
+        GeneticAlgorithm newAlg = (GeneticAlgorithm)baseLevelAlgorithm.Clone();
         clonedVc.Randomize(rand);
-        clonedVc.Parameterize((GeneticAlgorithm)clonedVc.ActualValue.Value);
-        GeneticAlgorithm newAlg = (GeneticAlgorithm)clonedVc.ActualValue.Value;
+        clonedVc.Parameterize(newAlg);
         Console.WriteLine(string.Format("PopSize: original: {0}, randomized: {1}", baseLevelAlgorithm.PopulationSize, newAlg.PopulationSize));
         Console.WriteLine(string.Format("MutRate: original: {0}, randomized: {1}", baseLevelAlgorithm.MutationProbability, newAlg.MutationProbability));
         Console.WriteLine(string.Format("MutOp: original: {0}, randomized: {1}", baseLevelAlgorithm.Mutator, newAlg.Mutator));
         Console.WriteLine(string.Format("SelOp: original: {0}, randomized: {1}", baseLevelAlgorithm.Selector, newAlg.Selector));
-        Console.WriteLine(string.Format("GrSi: original: {0}, randomized: {1}", "?", ((TournamentSelector)newAlg.Selector).GroupSizeParameter.Value));
+        //Console.WriteLine(string.Format("GrSi: original: {0}, randomized: {1}", "?", ((TournamentSelector)newAlg.Selector).GroupSizeParameter.Value));
         Console.WriteLine("---");
       }
@@ -162 +201 @@
       for (int i = 0; i < 10; i++) {
         IValueConfiguration clonedVc = (IValueConfiguration)algorithmVc.Clone();
-        clonedVc.Mutate(rand);
-        clonedVc.Parameterize((GeneticAlgorithm)clonedVc.ActualValue.Value);
-        GeneticAlgorithm newAlg = (GeneticAlgorithm)clonedVc.ActualValue.Value;
+        GeneticAlgorithm newAlg = (GeneticAlgorithm)baseLevelAlgorithm.Clone();
+        //clonedVc.Mutate(rand);
+        
+        //.Apply(rand, clonedVc); todo
+        clonedVc.Parameterize(newAlg);
         Console.WriteLine(string.Format("PopSize: original: {0}, mutated: {1}", baseLevelAlgorithm.PopulationSize, newAlg.PopulationSize));
         Console.WriteLine(string.Format("MutRate: original: {0}, mutated: {1}", baseLevelAlgorithm.MutationProbability, newAlg.MutationProbability));
         Console.WriteLine(string.Format("MutOp: original: {0}, mutated: {1}", baseLevelAlgorithm.Mutator, newAlg.Mutator));
         Console.WriteLine(string.Format("SelOp: original: {0}, mutated: {1}", baseLevelAlgorithm.Selector, newAlg.Selector));
-        Console.WriteLine(string.Format("GrSi: original: {0}, mutated: {1}", ((TournamentSelector)baseLevelAlgorithm.Selector).GroupSizeParameter.Value, ((TournamentSelector)newAlg.Selector).GroupSizeParameter.Value));
+        //Console.WriteLine(string.Format("GrSi: original: {0}, mutated: {1}", ((TournamentSelector)baseLevelAlgorithm.Selector).GroupSizeParameter.Value, ((TournamentSelector)newAlg.Selector).GroupSizeParameter.Value));
         Console.WriteLine("---");
       }
@@ -179 +220 @@
         IValueConfiguration clonedVc2 = (IValueConfiguration)algorithmVc.Clone();
 
-        GeneticAlgorithm first = (GeneticAlgorithm)clonedVc1.ActualValue.Value.Clone();
-        GeneticAlgorithm second = (GeneticAlgorithm)clonedVc2.ActualValue.Value.Clone();
+        GeneticAlgorithm first = (GeneticAlgorithm)baseLevelAlgorithm.Clone();
+        GeneticAlgorithm second = (GeneticAlgorithm)baseLevelAlgorithm.Clone();
 
         clonedVc1.Randomize(rand);
@@ -192 +233 @@
         var mutOpBefore = first.Mutator;
         var selOpBefore = first.Selector;
-        var groupSizeBefore = ((TournamentSelector)first.Selector).GroupSizeParameter.Value.Value;
-
-        clonedVc1.Cross(clonedVc2, rand);
+        //var groupSizeBefore = ((TournamentSelector)first.Selector).GroupSizeParameter.Value.Value;
+
+        //clonedVc1.Cross(clonedVc2, rand); todo
         clonedVc1.Parameterize(first);
 
@@ -201 +242 @@
         Console.WriteLine(string.Format("MutOp: first: {0}, second: {1}, crossed: {2}", mutOpBefore, second.Mutator, first.Mutator));
         Console.WriteLine(string.Format("SelOp: first: {0}, second: {1}, crossed: {2}", selOpBefore, second.Selector, first.Selector));
-        Console.WriteLine(string.Format("GrSi: first: {0}, second: {1}, crossed: {2}", groupSizeBefore, ((TournamentSelector)second.Selector).GroupSizeParameter.Value, ((TournamentSelector)first.Selector).GroupSizeParameter.Value));
+        //Console.WriteLine(string.Format("GrSi: first: {0}, second: {1}, crossed: {2}", groupSizeBefore, ((TournamentSelector)second.Selector).GroupSizeParameter.Value, ((TournamentSelector)first.Selector).GroupSizeParameter.Value));
         Console.WriteLine("---");
       }
@@ -306 +347 @@
             sb.AppendLine("=================================");
 
+            sb.AppendLine(metaLevelAlgorithm.ExecutionState.ToString());
             foreach (var result in metaLevelAlgorithm.Results) {
               sb.AppendLine(result.ToString());

@@ -1 +1 @@
 bin
 obj
+HeuristicLab.MetaOptimization.Test.csproj.user