Changeset 11568 for branches

Timestamp:

11/24/14 13:31:03 (10 years ago)

Author:

pfleck

Message:

#2269 Added Parameters for ALPS-GA.

Location:

branches/ALPS/HeuristicLab.Algorithms.ALPS/3.3

Files:

• AgingScheme.cs (added)
• AlpsGeneticAlgorithm.cs (modified) (4 diffs)
• HeuristicLab.Algorithms.ALPS-3.3.csproj (modified) (3 diffs)

branches/ALPS/HeuristicLab.Algorithms.ALPS/3.3/AlpsGeneticAlgorithm.cs

@@ -21 +21 @@
 
 using System;
+using HeuristicLab.Analysis;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
+using HeuristicLab.Data;
+using HeuristicLab.Operators;
 using HeuristicLab.Optimization;
+using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 
@@ -44 +48 @@
 
     #region Parameter Properties
+    private IValueParameter<IntValue> SeedParameter {
+      get { return (IValueParameter<IntValue>)Parameters["Seed"]; }
+    }
+    private IValueParameter<BoolValue> SetSeedRandomlyParameter {
+      get { return (IValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
+    }
+    private IValueParameter<MultiAnalyzer> AnalyzerParameter {
+      get { return (IValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
+    }
+    private IValueParameter<MultiAnalyzer> LayerAnalyzerParameter {
+      get { return (IValueParameter<MultiAnalyzer>)Parameters["LayerAnalyzer"]; }
+    }
+    private IValueParameter<IntValue> NumberOfLayersParameter {
+      get { return (IValueParameter<IntValue>)Parameters["NumberOfLayers"]; }
+    }
+    private IValueParameter<IntValue> PopulationSizeParameter {
+      get { return (IValueParameter<IntValue>)Parameters["PopulationSize"]; }
+    }
+    private IValueParameter<IntValue> MaximumGenerationsParameter {
+      get { return (IValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
+    }
+    private IValueParameter<AgingScheme> AgingSchemeParameter {
+      get { return (IValueParameter<AgingScheme>)Parameters["AgingScheme"]; }
+    }
+    private IValueParameter<IntValue> AgeGapParameter {
+      get { return (IValueParameter<IntValue>)Parameters["AgeGap"]; }
+    }
+    private IValueParameter<IntArray> AgeLimitsParameter {
+      get { return (IValueParameter<IntArray>)Parameters["AgeLimits"]; }
+    }
+    private IValueParameter<ReductionOperation> AgeInheritanceParameter {
+      get { return (IValueParameter<ReductionOperation>)Parameters["AgeInheritance"]; }
+    }
+    public IConstrainedValueParameter<ISelector> SelectorParameter {
+      get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
+    }
+    public IConstrainedValueParameter<ICrossover> CrossoverParameter {
+      get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
+    }
+    private IValueParameter<PercentValue> MutationProbabilityParameter {
+      get { return (IValueParameter<PercentValue>)Parameters["MutationProbability"]; }
+    }
+    public IConstrainedValueParameter<IManipulator> MutatorParameter {
+      get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
+    }
+    private IValueParameter<IntValue> ElitesParameter {
+      get { return (IValueParameter<IntValue>)Parameters["Elites"]; }
+    }
+    private IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
+      get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
+    }
     #endregion
 
     #region Properties
+    public IntValue Seed {
+      get { return SeedParameter.Value; }
+      set { SeedParameter.Value = value; }
+    }
+    public BoolValue SetSeedRandomly {
+      get { return SetSeedRandomlyParameter.Value; }
+      set { SetSeedRandomlyParameter.Value = value; }
+    }
+    public MultiAnalyzer Analyzer {
+      get { return AnalyzerParameter.Value; }
+      set { AnalyzerParameter.Value = value; }
+    }
+    public MultiAnalyzer LayerAnalyzer {
+      get { return LayerAnalyzerParameter.Value; }
+      set { LayerAnalyzerParameter.Value = value; }
+    }
+    public IntValue NumberOfLayers {
+      get { return NumberOfLayersParameter.Value; }
+      set { NumberOfLayersParameter.Value = value; }
+    }
+
+    public IntValue PopulationSize {
+      get { return PopulationSizeParameter.Value; }
+      set { PopulationSizeParameter.Value = value; }
+    }
+    public IntValue MaximumGenerations {
+      get { return MaximumGenerationsParameter.Value; }
+      set { MaximumGenerationsParameter.Value = value; }
+    }
+    public AgingScheme AgingScheme {
+      get { return AgingSchemeParameter.Value; }
+      set { AgingSchemeParameter.Value = value; }
+    }
+    public IntValue AgeGap {
+      get { return AgeGapParameter.Value; }
+      set { AgeGapParameter.Value = value; }
+    }
+    public IntArray AgeLimits {
+      get { return AgeLimitsParameter.Value; }
+      set { AgeLimitsParameter.Value = value; }
+    }
+    public ReductionOperation AgeInheritance {
+      get { return AgeInheritanceParameter.Value; }
+      set { AgeInheritanceParameter.Value = value; }
+    }
+    public ISelector Selector {
+      get { return SelectorParameter.Value; }
+      set { SelectorParameter.Value = value; }
+    }
+    public ICrossover Crossover {
+      get { return CrossoverParameter.Value; }
+      set { CrossoverParameter.Value = value; }
+    }
+    public PercentValue MutationProbability {
+      get { return MutationProbabilityParameter.Value; }
+      set { MutationProbabilityParameter.Value = value; }
+    }
+    public IManipulator Mutator {
+      get { return MutatorParameter.Value; }
+      set { MutatorParameter.Value = value; }
+    }
+    public IntValue Elites {
+      get { return ElitesParameter.Value; }
+      set { ElitesParameter.Value = value; }
+    }
+    public bool ReevaluteElites {
+      get { return ReevaluateElitesParameter.Value.Value; }
+      set { ReevaluateElitesParameter.Value.Value = value; }
+    }
     #endregion
 
@@ -52 +176 @@
     private AlpsGeneticAlgorithm(bool deserializing)
       : base(deserializing) { }
-
     private AlpsGeneticAlgorithm(AlpsGeneticAlgorithm original, Cloner cloner)
       : base(original, cloner) {
@@ -60 +183 @@
       return new AlpsGeneticAlgorithm(this, cloner);
     }
-
     public AlpsGeneticAlgorithm()
       : base() {
-      // TODO
+      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
+      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
+      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
+      Parameters.Add(new ValueParameter<MultiAnalyzer>("LayerAnalyzer", "The operator used to analyze each layer.", new MultiAnalyzer()));
+      Parameters.Add(new ValueParameter<IntValue>("NumberOfLayers", "The number of layers.", new IntValue(5)));
+      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions each layer.", new IntValue(20)));
+      Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations that should be processed.", new IntValue(1000)));
+      Parameters.Add(new ValueParameter<AgingScheme>("AgingScheme", "The aging scheme for setting the age-limits for the layers.", new AgingScheme(AgingSchemes.Polynomial)));
+      Parameters.Add(new ValueParameter<IntValue>("AgeGap", "The frequency of reseeding the lowest layer and scaling factor for the age-limits for the layers", new IntValue(5)));
+      Parameters.Add(new ValueParameter<IntArray>("AgeLimits", new IntArray(new[] { 1, 20, 45, 80, 125 })) { Hidden = true });
+      Parameters.Add(new ValueParameter<ReductionOperation>("AgeInheritance", "The operator for determining the age of an offspring based the parents age.", new ReductionOperation(ReductionOperations.Max)) { Hidden = true });
+      Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
+      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
+      Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
+      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
+      Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
+      Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", new BoolValue(false)) { Hidden = true });
     }
   }

branches/ALPS/HeuristicLab.Algorithms.ALPS/3.3/HeuristicLab.Algorithms.ALPS-3.3.csproj

@@ -75 +75 @@
     <Reference Include="System" />
     <Reference Include="System.Core" />
+    <Reference Include="System.Drawing" />
   </ItemGroup>
   <ItemGroup>
+    <Compile Include="AgingScheme.cs" />
     <Compile Include="AlpsGeneticAlgorithm.cs" />
     <Compile Include="Plugin.cs" />
@@ -97 +99 @@
       <Private>False</Private>
     </ProjectReference>
+    <ProjectReference Include="..\..\HeuristicLab.Common.Resources\3.3\HeuristicLab.Common.Resources-3.3.csproj">
+      <Project>{0e27a536-1c4a-4624-a65e-dc4f4f23e3e1}</Project>
+      <Name>HeuristicLab.Common.Resources-3.3</Name>
+    </ProjectReference>
     <ProjectReference Include="..\..\HeuristicLab.Common\3.3\HeuristicLab.Common-3.3.csproj">
       <Project>{a9ad58b9-3ef9-4cc1-97e5-8d909039ff5c}</Project>
@@ -105 +111 @@
       <Project>{c36bd924-a541-4a00-afa8-41701378ddc5}</Project>
       <Name>HeuristicLab.Core-3.3</Name>
-      <Private>False</Private>
     </ProjectReference>
     <ProjectReference Include="..\..\HeuristicLab.Data\3.3\HeuristicLab.Data-3.3.csproj">