Changeset 6476
- Timestamp:
- 06/24/11 17:51:06 (13 years ago)
- Location:
- trunk/sources
- Files:
-
- 12 edited
- 1 moved
Legend:
- Unmodified
- Added
- Removed
-
trunk/sources/HeuristicLab.Algorithms.GeneticAlgorithm/3.3/IslandGeneticAlgorithm.cs
r6051 r6476 70 70 get { return (ValueParameter<PercentValue>)Parameters["MigrationRate"]; } 71 71 } 72 p rivateConstrainedValueParameter<IMigrator> MigratorParameter {72 public ConstrainedValueParameter<IMigrator> MigratorParameter { 73 73 get { return (ConstrainedValueParameter<IMigrator>)Parameters["Migrator"]; } 74 74 } 75 p rivateConstrainedValueParameter<ISelector> EmigrantsSelectorParameter {75 public ConstrainedValueParameter<ISelector> EmigrantsSelectorParameter { 76 76 get { return (ConstrainedValueParameter<ISelector>)Parameters["EmigrantsSelector"]; } 77 77 } 78 p rivateConstrainedValueParameter<IReplacer> ImmigrationReplacerParameter {78 public ConstrainedValueParameter<IReplacer> ImmigrationReplacerParameter { 79 79 get { return (ConstrainedValueParameter<IReplacer>)Parameters["ImmigrationReplacer"]; } 80 80 } … … 85 85 get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; } 86 86 } 87 p rivateConstrainedValueParameter<ISelector> SelectorParameter {87 public ConstrainedValueParameter<ISelector> SelectorParameter { 88 88 get { return (ConstrainedValueParameter<ISelector>)Parameters["Selector"]; } 89 89 } 90 p rivateConstrainedValueParameter<ICrossover> CrossoverParameter {90 public ConstrainedValueParameter<ICrossover> CrossoverParameter { 91 91 get { return (ConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; } 92 92 } … … 94 94 get { return (ValueParameter<PercentValue>)Parameters["MutationProbability"]; } 95 95 } 96 p rivateOptionalConstrainedValueParameter<IManipulator> MutatorParameter {96 public OptionalConstrainedValueParameter<IManipulator> MutatorParameter { 97 97 get { return (OptionalConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; } 98 98 } -
trunk/sources/HeuristicLab.Algorithms.LocalSearch/3.3/LocalSearch.cs
r6053 r6476 58 58 get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; } 59 59 } 60 p rivateConstrainedValueParameter<IMoveGenerator> MoveGeneratorParameter {60 public ConstrainedValueParameter<IMoveGenerator> MoveGeneratorParameter { 61 61 get { return (ConstrainedValueParameter<IMoveGenerator>)Parameters["MoveGenerator"]; } 62 62 } 63 p rivateConstrainedValueParameter<IMoveMaker> MoveMakerParameter {63 public ConstrainedValueParameter<IMoveMaker> MoveMakerParameter { 64 64 get { return (ConstrainedValueParameter<IMoveMaker>)Parameters["MoveMaker"]; } 65 65 } 66 p rivateConstrainedValueParameter<ISingleObjectiveMoveEvaluator> MoveEvaluatorParameter {66 public ConstrainedValueParameter<ISingleObjectiveMoveEvaluator> MoveEvaluatorParameter { 67 67 get { return (ConstrainedValueParameter<ISingleObjectiveMoveEvaluator>)Parameters["MoveEvaluator"]; } 68 68 } -
trunk/sources/HeuristicLab.Algorithms.ParticleSwarmOptimization/3.3/ParticleSwarmOptimization.cs
r5941 r6476 39 39 [StorableClass] 40 40 public sealed class ParticleSwarmOptimization : HeuristicOptimizationEngineAlgorithm, IStorableContent { 41 42 #region Problem Properties 41 #region Parameter Properties 42 public IValueParameter<IntValue> SeedParameter { 43 get { return (IValueParameter<IntValue>)Parameters["Seed"]; } 44 } 45 public IValueParameter<BoolValue> SetSeedRandomlyParameter { 46 get { return (IValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; } 47 } 48 public IValueParameter<IntValue> SwarmSizeParameter { 49 get { return (IValueParameter<IntValue>)Parameters["SwarmSize"]; } 50 } 51 public IValueParameter<IntValue> MaxIterationsParameter { 52 get { return (IValueParameter<IntValue>)Parameters["MaxIterations"]; } 53 } 54 public IValueParameter<DoubleValue> InertiaParameter { 55 get { return (IValueParameter<DoubleValue>)Parameters["Inertia"]; } 56 } 57 public IValueParameter<DoubleValue> PersonalBestAttractionParameter { 58 get { return (IValueParameter<DoubleValue>)Parameters["PersonalBestAttraction"]; } 59 } 60 public IValueParameter<DoubleValue> NeighborBestAttractionParameter { 61 get { return (IValueParameter<DoubleValue>)Parameters["NeighborBestAttraction"]; } 62 } 63 public IValueParameter<MultiAnalyzer> AnalyzerParameter { 64 get { return (IValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; } 65 } 66 public ConstrainedValueParameter<IParticleCreator> ParticleCreatorParameter { 67 get { return (ConstrainedValueParameter<IParticleCreator>)Parameters["ParticleCreator"]; } 68 } 69 public ConstrainedValueParameter<IParticleUpdater> ParticleUpdaterParameter { 70 get { return (ConstrainedValueParameter<IParticleUpdater>)Parameters["ParticleUpdater"]; } 71 } 72 public OptionalConstrainedValueParameter<ITopologyInitializer> TopologyInitializerParameter { 73 get { return (OptionalConstrainedValueParameter<ITopologyInitializer>)Parameters["TopologyInitializer"]; } 74 } 75 public OptionalConstrainedValueParameter<ITopologyUpdater> TopologyUpdaterParameter { 76 get { return (OptionalConstrainedValueParameter<ITopologyUpdater>)Parameters["TopologyUpdater"]; } 77 } 78 public OptionalConstrainedValueParameter<IDiscreteDoubleValueModifier> InertiaUpdaterParameter { 79 get { return (OptionalConstrainedValueParameter<IDiscreteDoubleValueModifier>)Parameters["InertiaUpdater"]; } 80 } 81 public ConstrainedValueParameter<ISwarmUpdater> SwarmUpdaterParameter { 82 get { return (ConstrainedValueParameter<ISwarmUpdater>)Parameters["SwarmUpdater"]; } 83 84 } 85 #endregion 86 87 #region Properties 88 89 public string Filename { get; set; } 90 91 [Storable] 92 private BestAverageWorstQualityAnalyzer qualityAnalyzer; 93 94 [Storable] 95 private SolutionsCreator solutionsCreator; 96 97 [Storable] 98 private ParticleSwarmOptimizationMainLoop mainLoop; 99 43 100 public override Type ProblemType { 44 101 get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); } … … 48 105 set { base.Problem = value; } 49 106 } 107 public IntValue Seed { 108 get { return SeedParameter.Value; } 109 set { SeedParameter.Value = value; } 110 } 111 public BoolValue SetSeedRandomly { 112 get { return SetSeedRandomlyParameter.Value; } 113 set { SetSeedRandomlyParameter.Value = value; } 114 } 115 public IntValue SwarmSize { 116 get { return SwarmSizeParameter.Value; } 117 set { SwarmSizeParameter.Value = value; } 118 } 119 public IntValue MaxIterations { 120 get { return MaxIterationsParameter.Value; } 121 set { MaxIterationsParameter.Value = value; } 122 } 123 public DoubleValue Inertia { 124 get { return InertiaParameter.Value; } 125 set { InertiaParameter.Value = value; } 126 } 127 public DoubleValue PersonalBestAttraction { 128 get { return PersonalBestAttractionParameter.Value; } 129 set { PersonalBestAttractionParameter.Value = value; } 130 } 131 public DoubleValue NeighborBestAttraction { 132 get { return NeighborBestAttractionParameter.Value; } 133 set { NeighborBestAttractionParameter.Value = value; } 134 } 50 135 public MultiAnalyzer Analyzer { 51 136 get { return AnalyzerParameter.Value; } 52 137 set { AnalyzerParameter.Value = value; } 53 138 } 139 public IParticleCreator ParticleCreator { 140 get { return ParticleCreatorParameter.Value; } 141 set { ParticleCreatorParameter.Value = value; } 142 } 143 public IParticleUpdater ParticleUpdater { 144 get { return ParticleUpdaterParameter.Value; } 145 set { ParticleUpdaterParameter.Value = value; } 146 } 147 public ITopologyInitializer TopologyInitializer { 148 get { return TopologyInitializerParameter.Value; } 149 set { TopologyInitializerParameter.Value = value; } 150 } 151 public ITopologyUpdater TopologyUpdater { 152 get { return TopologyUpdaterParameter.Value; } 153 set { TopologyUpdaterParameter.Value = value; } 154 } 54 155 public IDiscreteDoubleValueModifier InertiaUpdater { 55 156 get { return InertiaUpdaterParameter.Value; } 56 157 set { InertiaUpdaterParameter.Value = value; } 57 158 } 58 #endregion 59 60 #region Parameter Properties 61 public IValueParameter<IntValue> SeedParameter { 62 get { return (IValueParameter<IntValue>)Parameters["Seed"]; } 63 } 64 public IValueParameter<BoolValue> SetSeedRandomlyParameter { 65 get { return (IValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; } 66 } 67 public IValueParameter<IntValue> SwarmSizeParameter { 68 get { return (IValueParameter<IntValue>)Parameters["SwarmSize"]; } 69 } 70 public IValueParameter<IntValue> MaxIterationsParameter { 71 get { return (IValueParameter<IntValue>)Parameters["MaxIterations"]; } 72 } 73 public IValueParameter<DoubleValue> InertiaParameter { 74 get { return (IValueParameter<DoubleValue>)Parameters["Inertia"]; } 75 } 76 public IValueParameter<DoubleValue> PersonalBestAttractionParameter { 77 get { return (IValueParameter<DoubleValue>)Parameters["PersonalBestAttraction"]; } 78 } 79 public IValueParameter<DoubleValue> NeighborBestAttractionParameter { 80 get { return (IValueParameter<DoubleValue>)Parameters["NeighborBestAttraction"]; } 81 } 82 public IValueParameter<MultiAnalyzer> AnalyzerParameter { 83 get { return (IValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; } 84 } 85 public ConstrainedValueParameter<IParticleCreator> ParticleCreatorParameter { 86 get { return (ConstrainedValueParameter<IParticleCreator>)Parameters["ParticleCreator"]; } 87 } 88 public ConstrainedValueParameter<IParticleUpdater> ParticleUpdaterParameter { 89 get { return (ConstrainedValueParameter<IParticleUpdater>)Parameters["ParticleUpdater"]; } 90 } 91 public OptionalConstrainedValueParameter<ITopologyInitializer> TopologyInitializerParameter { 92 get { return (OptionalConstrainedValueParameter<ITopologyInitializer>)Parameters["TopologyInitializer"]; } 93 } 94 public OptionalConstrainedValueParameter<ITopologyUpdater> TopologyUpdaterParameter { 95 get { return (OptionalConstrainedValueParameter<ITopologyUpdater>)Parameters["TopologyUpdater"]; } 96 } 97 public OptionalConstrainedValueParameter<IDiscreteDoubleValueModifier> InertiaUpdaterParameter { 98 get { return (OptionalConstrainedValueParameter<IDiscreteDoubleValueModifier>)Parameters["InertiaUpdater"]; } 99 } 100 public ConstrainedValueParameter<ISwarmUpdater> SwarmUpdaterParameter { 101 get { return (ConstrainedValueParameter<ISwarmUpdater>)Parameters["SwarmUpdater"]; } 102 103 } 104 #endregion 105 106 #region Properties 107 108 public string Filename { get; set; } 109 110 [Storable] 111 private BestAverageWorstQualityAnalyzer qualityAnalyzer; 112 113 [Storable] 114 private SolutionsCreator solutionsCreator; 115 116 [Storable] 117 private ParticleSwarmOptimizationMainLoop mainLoop; 118 119 public ITopologyInitializer TopologyInitializer { 120 get { return TopologyInitializerParameter.Value; } 121 set { TopologyInitializerParameter.Value = value; } 122 } 123 124 public ITopologyUpdater TopologyUpdater { 125 get { return TopologyUpdaterParameter.Value; } 126 set { TopologyUpdaterParameter.Value = value; } 127 } 128 129 public IParticleCreator ParticleCreator { 130 get { return ParticleCreatorParameter.Value; } 131 set { ParticleCreatorParameter.Value = value; } 132 } 133 134 public IParticleUpdater ParticleUpdater { 135 get { return ParticleUpdaterParameter.Value; } 136 set { ParticleUpdaterParameter.Value = value; } 159 public ISwarmUpdater SwarmUpdater { 160 get { return SwarmUpdaterParameter.Value; } 161 set { SwarmUpdaterParameter.Value = value; } 137 162 } 138 163 #endregion … … 333 358 } 334 359 360 private void ParameterizeTopologyUpdaters() { 361 foreach (var updater in TopologyUpdaterParameter.ValidValues) { 362 var multiPsoUpdater = updater as MultiPSOTopologyUpdater; 363 if (multiPsoUpdater != null) { 364 multiPsoUpdater.CurrentIterationParameter.ActualName = "Iterations"; 365 } 366 } 367 } 368 335 369 private void UpdateTopologyParameters() { 336 370 ITopologyUpdater oldTopologyUpdater = TopologyUpdater; … … 355 389 if (newParticleUpdater != null) ParticleUpdater = newParticleUpdater; 356 390 } 391 392 ParameterizeTopologyUpdaters(); 357 393 } 358 394 } -
trunk/sources/HeuristicLab.Algorithms.SimulatedAnnealing/3.3/SimulatedAnnealing.cs
r6053 r6476 59 59 get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; } 60 60 } 61 p rivateConstrainedValueParameter<IMultiMoveGenerator> MoveGeneratorParameter {61 public ConstrainedValueParameter<IMultiMoveGenerator> MoveGeneratorParameter { 62 62 get { return (ConstrainedValueParameter<IMultiMoveGenerator>)Parameters["MoveGenerator"]; } 63 63 } 64 p rivateConstrainedValueParameter<IMoveMaker> MoveMakerParameter {64 public ConstrainedValueParameter<IMoveMaker> MoveMakerParameter { 65 65 get { return (ConstrainedValueParameter<IMoveMaker>)Parameters["MoveMaker"]; } 66 66 } 67 p rivateConstrainedValueParameter<ISingleObjectiveMoveEvaluator> MoveEvaluatorParameter {67 public ConstrainedValueParameter<ISingleObjectiveMoveEvaluator> MoveEvaluatorParameter { 68 68 get { return (ConstrainedValueParameter<ISingleObjectiveMoveEvaluator>)Parameters["MoveEvaluator"]; } 69 69 } 70 p rivateConstrainedValueParameter<IDiscreteDoubleValueModifier> AnnealingOperatorParameter {70 public ConstrainedValueParameter<IDiscreteDoubleValueModifier> AnnealingOperatorParameter { 71 71 get { return (ConstrainedValueParameter<IDiscreteDoubleValueModifier>)Parameters["AnnealingOperator"]; } 72 72 } … … 108 108 get { return MoveEvaluatorParameter.Value; } 109 109 set { MoveEvaluatorParameter.Value = value; } 110 } 111 public IDiscreteDoubleValueModifier AnnealingOperator { 112 get { return AnnealingOperatorParameter.Value; } 113 set { AnnealingOperatorParameter.Value = value; } 110 114 } 111 115 public IntValue MaximumIterations { -
trunk/sources/HeuristicLab.Algorithms.TabuSearch/3.3/TabuSearch.cs
r6053 r6476 58 58 get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; } 59 59 } 60 p rivateConstrainedValueParameter<IMoveGenerator> MoveGeneratorParameter {60 public ConstrainedValueParameter<IMoveGenerator> MoveGeneratorParameter { 61 61 get { return (ConstrainedValueParameter<IMoveGenerator>)Parameters["MoveGenerator"]; } 62 62 } 63 p rivateConstrainedValueParameter<IMoveMaker> MoveMakerParameter {63 public ConstrainedValueParameter<IMoveMaker> MoveMakerParameter { 64 64 get { return (ConstrainedValueParameter<IMoveMaker>)Parameters["MoveMaker"]; } 65 65 } 66 p rivateConstrainedValueParameter<ISingleObjectiveMoveEvaluator> MoveEvaluatorParameter {66 public ConstrainedValueParameter<ISingleObjectiveMoveEvaluator> MoveEvaluatorParameter { 67 67 get { return (ConstrainedValueParameter<ISingleObjectiveMoveEvaluator>)Parameters["MoveEvaluator"]; } 68 68 } 69 p rivateConstrainedValueParameter<ITabuChecker> TabuCheckerParameter {69 public ConstrainedValueParameter<ITabuChecker> TabuCheckerParameter { 70 70 get { return (ConstrainedValueParameter<ITabuChecker>)Parameters["TabuChecker"]; } 71 71 } 72 p rivateConstrainedValueParameter<ITabuMaker> TabuMakerParameter {72 public ConstrainedValueParameter<ITabuMaker> TabuMakerParameter { 73 73 get { return (ConstrainedValueParameter<ITabuMaker>)Parameters["TabuMaker"]; } 74 74 } … … 123 123 get { return MaximumIterationsParameter.Value; } 124 124 set { MaximumIterationsParameter.Value = value; } 125 } 126 public IntValue SampleSize { 127 get { return SampleSizeParameter.Value; } 128 set { SampleSizeParameter.Value = value; } 125 129 } 126 130 public MultiAnalyzer Analyzer { -
trunk/sources/HeuristicLab.Algorithms.VariableNeighborhoodSearch/3.3/VariableNeighborhoodSearch.cs
r6057 r6476 58 58 get { return (FixedValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; } 59 59 } 60 p rivateConstrainedValueParameter<ILocalImprovementOperator> LocalImprovementParameter {60 public ConstrainedValueParameter<ILocalImprovementOperator> LocalImprovementParameter { 61 61 get { return (ConstrainedValueParameter<ILocalImprovementOperator>)Parameters["LocalImprovement"]; } 62 62 } 63 p rivateConstrainedValueParameter<IMultiNeighborhoodShakingOperator> ShakingOperatorParameter {63 public ConstrainedValueParameter<IMultiNeighborhoodShakingOperator> ShakingOperatorParameter { 64 64 get { return (ConstrainedValueParameter<IMultiNeighborhoodShakingOperator>)Parameters["ShakingOperator"]; } 65 65 } … … 88 88 private VariableNeighborhoodSearchMainLoop MainLoop { 89 89 get { return FindMainLoop(SolutionsCreator.Successor); } 90 } 91 public int Seed { 92 get { return SeedParameter.Value.Value; } 93 set { SeedParameter.Value.Value = value; } 94 } 95 public bool SetSeedRandomly { 96 get { return SetSeedRandomlyParameter.Value.Value; } 97 set { SetSeedRandomlyParameter.Value.Value = value; } 98 } 99 public ILocalImprovementOperator LocalImprovement { 100 get { return LocalImprovementParameter.Value; } 101 set { LocalImprovementParameter.Value = value; } 102 } 103 public IMultiNeighborhoodShakingOperator ShakingOperator { 104 get { return ShakingOperatorParameter.Value; } 105 set { ShakingOperatorParameter.Value = value; } 106 } 107 public int MaximumIterations { 108 get { return MaximumIterationsParameter.Value.Value; } 109 set { MaximumIterationsParameter.Value.Value = value; } 110 } 111 public int LocalImprovementMaximumIterations { 112 get { return LocalImprovementMaximumIterationsParameter.Value.Value; } 113 set { LocalImprovementMaximumIterationsParameter.Value.Value = value; } 90 114 } 91 115 #endregion -
trunk/sources/HeuristicLab.Optimization.Operators/3.3/DiscreteDoubleValueModifier.cs
r5445 r6476 34 34 [StorableClass] 35 35 public abstract class DiscreteDoubleValueModifier : SingleSuccessorOperator, IDiscreteDoubleValueModifier { 36 #region parameter properties 36 37 /// <summary> 37 38 /// The parameter that should be modified. … … 70 71 get { return (IValueLookupParameter<IntValue>)Parameters["EndIndex"]; } 71 72 } 72 73 #endregion 73 74 [StorableConstructor] 74 75 protected DiscreteDoubleValueModifier(bool deserializing) : base(deserializing) { } -
trunk/sources/HeuristicLab.Problems.Knapsack/3.3/KnapsackProblem.cs
r6053 r6476 87 87 88 88 #region Properties 89 public BoolValue Maximization { 90 get { return MaximizationParameter.Value; } 91 set { MaximizationParameter.Value = value; } 92 } 89 93 public IntValue KnapsackCapacity { 90 94 get { return KnapsackCapacityParameter.Value; } -
trunk/sources/HeuristicLab/3.3/Tests/HeuristicLab-3.3.Tests.csproj
r6441 r6476 126 126 <Compile Include="CollectObjectGraphTest.cs" /> 127 127 <Compile Include="ContentViewTests.cs" /> 128 <Compile Include="GeneticAlgorithmSamplesTest.cs" />129 128 <Compile Include="Properties\Resources.Designer.cs"> 130 129 <AutoGen>True</AutoGen> … … 132 131 <DependentUpon>Resources.resx</DependentUpon> 133 132 </Compile> 133 <Compile Include="SamplesTest.cs" /> 134 134 <Compile Include="SymbolicRegressionTest.cs" /> 135 135 <Compile Include="PluginDependenciesTest.cs" /> … … 554 554 <CopyToOutputDirectory>Always</CopyToOutputDirectory> 555 555 </None> 556 <None Include="Resources\ch130.opt.tour" /> 557 <None Include="Resources\ch130.tsp" /> 558 </ItemGroup> 559 <ItemGroup> 560 <Content Include="Resources\C101.opt.txt" /> 561 <Content Include="Resources\C101.txt" /> 556 <Content Include="Resources\ch130.opt.tour"> 557 <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory> 558 </Content> 559 <Content Include="Resources\ch130.tsp"> 560 <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory> 561 </Content> 562 </ItemGroup> 563 <ItemGroup> 564 <EmbeddedResource Include="Properties\Resources.resx"> 565 <Generator>ResXFileCodeGenerator</Generator> 566 <LastGenOutput>Resources.Designer.cs</LastGenOutput> 567 </EmbeddedResource> 568 </ItemGroup> 569 <ItemGroup> 570 <Content Include="Resources\C101.opt.txt"> 571 <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory> 572 </Content> 573 <Content Include="Resources\C101.txt"> 574 <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory> 575 </Content> 562 576 <Content Include="Resources\mammographic_masses.txt"> 563 577 <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory> … … 567 581 </Content> 568 582 </ItemGroup> 569 <ItemGroup> 570 <EmbeddedResource Include="Properties\Resources.resx"> 571 <Generator>ResXFileCodeGenerator</Generator> 572 <LastGenOutput>Resources.Designer.cs</LastGenOutput> 573 </EmbeddedResource> 574 </ItemGroup> 583 <ItemGroup /> 575 584 <Import Project="$(MSBuildBinPath)\Microsoft.CSharp.targets" /> 576 585 <!-- To modify your build process, add your task inside one of the targets below and uncomment it. -
trunk/sources/HeuristicLab/3.3/Tests/Properties/Resources.Designer.cs
r6441 r6476 60 60 } 61 61 } 62 63 /// <summary>64 /// Looks up a localized string similar to C10165 ///66 ///VEHICLE67 ///NUMBER CAPACITY68 /// 25 20069 ///70 ///CUSTOMER71 ///CUST NO. XCOORD. YCOORD. DEMAND READY TIME DUE DATE SERVICE TIME72 ///73 /// 0 40 50 0 0 1236 074 /// 1 45 68 10 912 967 9075 /// 2 45 70 30 825 870 9076 /// 3 42 66 10 65 146 9077 /// 4 42 68 10 727 782 90 [rest of string was truncated]";.78 /// </summary>79 internal static string C101 {80 get {81 return ResourceManager.GetString("C101", resourceCulture);82 }83 }84 85 /// <summary>86 /// Looks up a localized string similar to Route #1: 67 65 63 62 74 72 61 64 68 66 6987 ///Route #2: 98 96 95 94 92 93 97 100 9988 ///Route #3: 32 33 31 35 37 38 39 36 3489 ///Route #4: 90 87 86 83 82 84 85 88 89 9190 ///Route #5: 81 78 76 71 70 73 77 79 8091 ///Route #6: 57 55 54 53 56 58 60 5992 ///Route #7: 20 24 25 27 29 30 28 26 23 22 2193 ///Route #8: 43 42 41 40 44 46 45 48 51 50 52 49 4794 ///Route #9: 5 3 7 8 10 11 9 6 4 2 1 7595 ///Route #10: 13 17 18 19 15 16 14 1296 ///cost 1828.9368669428336.97 /// </summary>98 internal static string C101_opt {99 get {100 return ResourceManager.GetString("C101_opt", resourceCulture);101 }102 }103 104 /// <summary>105 /// Looks up a localized string similar to NAME: ch130106 ///TYPE: TSP107 ///COMMENT: 130 city problem (Churritz)108 ///DIMENSION: 130109 ///EDGE_WEIGHT_TYPE: EUC_2D110 ///NODE_COORD_SECTION111 ///1 334.5909245845 161.7809319139112 ///2 397.6446634067 262.8165330708113 ///3 503.8741827107 172.8741151168114 ///4 444.0479403502 384.6491809647115 ///5 311.6137146746 2.0091699828116 ///6 662.8551011379 549.2301263653117 ///7 40.0979030612 187.2375430791118 ///8 526.8941409181 215.7079092185119 ///9 209.1887938487 691.0262291948120 ///10 683.2674131973 414.2096286906121 ///11 280.7494438748 5.9206392047122 ///12 252.7493090080 535.7430385019123 ///13 698.78504 [rest of string was truncated]";.124 /// </summary>125 internal static string ch130 {126 get {127 return ResourceManager.GetString("ch130", resourceCulture);128 }129 }130 131 /// <summary>132 /// Looks up a localized string similar to NAME : ch130.opt.tour133 ///COMMENT : Length 6110134 ///TYPE : TOUR135 ///DIMENSION : 130136 ///TOUR_SECTION137 ///1138 ///41139 ///39140 ///117141 ///112142 ///115143 ///28144 ///62145 ///105146 ///128147 ///16148 ///45149 ///5150 ///11151 ///76152 ///109153 ///61154 ///129155 ///124156 ///64157 ///69158 ///86159 ///88160 ///26161 ///7162 ///97163 ///70164 ///107165 ///127166 ///104167 ///43168 ///34169 ///17170 ///31171 ///27172 ///19173 ///100174 ///15175 ///29176 ///24177 ///116178 ///95179 ///79180 ///87181 ///12182 ///81183 ///103184 ///77185 ///94186 ///89187 ///110188 ///98189 ///68190 ///63191 ///48192 ///25193 ///113194 ///32195 ///36196 ///84197 ///119198 ///111199 ///123200 ///101201 ///82202 ///57203 ///9204 ///56205 ///65206 ///52207 ///75208 ///74209 ///99210 ///73211 ///92212 ///38213 ///106214 ///53215 ///120216 ///58217 ///49218 ///72219 ///91220 ///6221 ///102222 ///10223 ///14224 ///67225 ///13226 ///96227 ///122228 ///55229 ///60230 ///51231 ///42232 ///44233 ///93234 ///37235 ///22236 ///47237 ///40238 ///23239 ///33240 ///21241 ///126242 ///121243 ///78244 ///66245 ///85246 ///125247 ///90248 ///59249 ///30250 ///83251 ///3252 ///114253 ///108254 ///8255 ///18256 ///46257 ///80258 ///118259 ///20260 ///4261 ///35262 ///54263 ///2264 ///50265 ///130266 ///71267 ///-1268 ///.269 /// </summary>270 internal static string ch130_opt {271 get {272 return ResourceManager.GetString("ch130_opt", resourceCulture);273 }274 }275 276 /// <summary>277 /// Looks up a localized string similar to BI-RADS; Age; Shape; Margin; Density; Severity278 ///5;67;3;5;3;1279 ///4;43;1;1;3;1280 ///5;58;4;5;3;1281 ///4;28;1;1;3;0282 ///5;74;1;5;3;1283 ///4;65;1;3;3;0284 ///4;70;3;3;3;0285 ///5;42;1;3;3;0286 ///5;57;1;5;3;1287 ///5;60;3;5;1;1288 ///5;76;1;4;3;1289 ///3;42;2;1;3;1290 ///4;64;1;3;3;0291 ///4;36;3;1;2;0292 ///4;60;2;1;2;0293 ///4;54;1;1;3;0294 ///3;52;3;4;3;0295 ///4;59;2;1;3;1296 ///4;54;1;1;3;1297 ///4;40;1;3;3;0298 ///4;66;3;3;1;1299 ///5;56;4;3;1;1300 ///4;43;1;3;3;0301 ///5;42;4;4;3;1302 ///4;59;2;4;3;1303 ///5;75;4;5;3;1304 ///2;66;1;1;3;0305 ///5;63;3;3;3;0306 ///5;45;4;5;3;1307 ///5;55;4;4;3;0308 ///4;46;1;5;2;0309 ///5;54;4;4;3;1310 ///5;57;4;4;3;1311 ///4; [rest of string was truncated]";.312 /// </summary>313 internal static string MammographicMasses {314 get {315 return ResourceManager.GetString("MammographicMasses", resourceCulture);316 }317 }318 319 /// <summary>320 /// Looks up a localized string similar to x1;x2;x3;x4;x5;x6;x7;x8;x9;x10;x11;x12;x13;x14;x15;x16;x17;x18;x19;x20;x21;x22;x23;x24;x25;towerResponse321 ///28.0784464518229;13.939023844401;87.6339436848958;20.0777689615885;63.0026733398437;70.0181884765625;59.5551432291667;8.80629475911458;94.8240641276042;1.50430590311686;473.995963541667;165.433089192708;163.806526692708;161.395735677083;140.468115234375;129.394759114583;173.246484375;29.12998046875;7.02796274820964;124.702001953125;122.926342773437;51.7155436197917;90.4672119140625;129.585375976562;8.80 [rest of string was truncated]";.322 /// </summary>323 internal static string TowerData {324 get {325 return ResourceManager.GetString("TowerData", resourceCulture);326 }327 }328 62 } 329 63 } -
trunk/sources/HeuristicLab/3.3/Tests/Properties/Resources.resx
r6441 r6476 118 118 <value>System.Resources.ResXResourceWriter, System.Windows.Forms, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089</value> 119 119 </resheader> 120 <assembly alias="System.Windows.Forms" name="System.Windows.Forms, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089" />121 <data name="C101" type="System.Resources.ResXFileRef, System.Windows.Forms">122 <value>..\resources\c101.txt;System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089;Windows-1252</value>123 </data>124 <data name="C101_opt" type="System.Resources.ResXFileRef, System.Windows.Forms">125 <value>..\resources\c101.opt.txt;System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089;utf-8</value>126 </data>127 <data name="ch130" type="System.Resources.ResXFileRef, System.Windows.Forms">128 <value>..\resources\ch130.tsp;System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089</value>129 </data>130 <data name="ch130_opt" type="System.Resources.ResXFileRef, System.Windows.Forms">131 <value>..\resources\ch130.opt.tour;System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089</value>132 </data>133 <data name="MammographicMasses" type="System.Resources.ResXFileRef, System.Windows.Forms">134 <value>..\resources\mammographic_masses.txt;System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089;Windows-1252</value>135 </data>136 <data name="TowerData" type="System.Resources.ResXFileRef, System.Windows.Forms">137 <value>..\resources\towerdata.txt;System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089;Windows-1252</value>138 </data>139 120 </root> -
trunk/sources/HeuristicLab/3.3/Tests/SamplesTest.cs
r6474 r6476 24 24 using HeuristicLab.Problems.VehicleRouting.Encodings; 25 25 using HeuristicLab.Problems.VehicleRouting.Encodings.General; 26 using HeuristicLab.Algorithms.EvolutionStrategy; 27 using HeuristicLab.Encodings.RealVectorEncoding; 28 using HeuristicLab.Problems.TestFunctions; 29 using HeuristicLab.Optimization.Operators; 30 using HeuristicLab.Algorithms.LocalSearch; 31 using HeuristicLab.Problems.Knapsack; 32 using HeuristicLab.Encodings.BinaryVectorEncoding; 33 using HeuristicLab.Algorithms.ParticleSwarmOptimization; 34 using HeuristicLab.Algorithms.SimulatedAnnealing; 35 using HeuristicLab.Algorithms.TabuSearch; 36 using HeuristicLab.Algorithms.VariableNeighborhoodSearch; 26 37 27 38 namespace HeuristicLab_33.Tests { 28 39 [TestClass] 29 public class GeneticAlgorithmSamplesTest { 40 [DeploymentItem(@"Resources/C101.opt.txt")] 41 [DeploymentItem(@"Resources/C101.txt")] 42 [DeploymentItem(@"Resources/ch130.tsp")] 43 [DeploymentItem(@"Resources/ch130.opt.tour")] 44 [DeploymentItem(@"Resources/mammographic_masses.txt")] 45 [DeploymentItem(@"Resources/towerData.txt")] 46 public class SamplesTest { 47 #region GA 30 48 #region TSP 31 49 [TestMethod] 32 public void Create TSPSampleTest() {33 var ga = Create TSPSample();50 public void CreateGaTspSampleTest() { 51 var ga = CreateGaTspSample(); 34 52 XmlGenerator.Serialize(ga, "../../GA_TSP.hl"); 35 53 } 36 54 [TestMethod] 37 public void Run TSPSampleTest() {38 var ga = Create TSPSample();55 public void RunGaTspSampleTest() { 56 var ga = CreateGaTspSample(); 39 57 ga.SetSeedRandomly.Value = false; 40 58 RunAlgorithm(ga); … … 45 63 } 46 64 47 private GeneticAlgorithm Create TSPSample() {65 private GeneticAlgorithm CreateGaTspSample() { 48 66 GeneticAlgorithm ga = new GeneticAlgorithm(); 49 67 #region problem configuration 50 68 TravelingSalesmanProblem tspProblem = new TravelingSalesmanProblem(); 51 // import and configure TSP data 52 string ch130FileName = Path.GetTempFileName() + ".tsp";// for silly parser constraints 53 using (var writer = File.CreateText(ch130FileName)) { 54 writer.Write(HeuristicLab_33.Tests.Properties.Resources.ch130); 55 } 56 string ch130OptTourFileName = Path.GetTempFileName() + ".opt.tour"; // for silly parser constraints 57 using (var writer = File.CreateText(ch130OptTourFileName)) { 58 writer.Write(HeuristicLab_33.Tests.Properties.Resources.ch130_opt); 59 } 60 61 tspProblem.ImportFromTSPLIB(ch130FileName, ch130OptTourFileName, 6110); 69 tspProblem.ImportFromTSPLIB("ch130.tsp", "ch130.opt.tour", 6110); 62 70 tspProblem.Evaluator = new TSPRoundedEuclideanPathEvaluator(); 63 71 tspProblem.SolutionCreator = new RandomPermutationCreator(); … … 86 94 #region VRP 87 95 [TestMethod] 88 public void Create VRPSampleTest() {89 var ga = Create VRPSample();96 public void CreateGaVrpSampleTest() { 97 var ga = CreateGaVrpSample(); 90 98 XmlGenerator.Serialize(ga, "../../GA_VRP.hl"); 91 99 } 92 100 93 101 [TestMethod] 94 public void Run VRPSampleTest() {95 var ga = Create VRPSample();102 public void RunGaVrpSampleTest() { 103 var ga = CreateGaVrpSample(); 96 104 ga.SetSeedRandomly.Value = false; 97 105 RunAlgorithm(ga); 98 106 Assert.AreEqual(1828.9368669428336, GetDoubleResult(ga, "BestQuality")); 99 Assert.AreEqual(18 32.7272021720889, GetDoubleResult(ga, "CurrentAverageQuality"));100 Assert.AreEqual(1 929.5220133155044, GetDoubleResult(ga, "CurrentWorstQuality"));107 Assert.AreEqual(1829.6829520983711, GetDoubleResult(ga, "CurrentAverageQuality")); 108 Assert.AreEqual(1867.8378222145707, GetDoubleResult(ga, "CurrentWorstQuality")); 101 109 Assert.AreEqual(99100, GetIntResult(ga, "EvaluatedSolutions")); 102 110 } 103 111 104 private GeneticAlgorithm Create VRPSample() {112 private GeneticAlgorithm CreateGaVrpSample() { 105 113 GeneticAlgorithm ga = new GeneticAlgorithm(); 106 114 #region problem configuration 107 115 VehicleRoutingProblem vrpProblem = new VehicleRoutingProblem(); 108 // import and configure VRP data 109 string c101FileName = Path.GetTempFileName(); 110 using (var writer = File.CreateText(c101FileName)) { 111 writer.Write(HeuristicLab_33.Tests.Properties.Resources.C101); 112 } 113 // import and configure VRP data 114 string c101BestSolutionFileName = Path.GetTempFileName(); 115 using (var writer = File.CreateText(c101BestSolutionFileName)) { 116 writer.Write(HeuristicLab_33.Tests.Properties.Resources.C101_opt); 117 } 118 119 vrpProblem.ImportFromSolomon(c101FileName); 120 vrpProblem.ImportSolution(c101BestSolutionFileName); 116 117 vrpProblem.ImportFromSolomon("C101.txt"); 118 vrpProblem.ImportSolution("C101.opt.txt"); 121 119 vrpProblem.Name = "C101 VRP (imported from Solomon)"; 122 120 vrpProblem.Description = "Represents a Vehicle Routing Problem."; … … 168 166 169 167 [TestMethod] 170 public void Create ArtificialAntSampleTest() {171 var ga = Create ArtificialAntSample();168 public void CreateGpArtificialAntSampleTest() { 169 var ga = CreateGpArtificialAntSample(); 172 170 XmlGenerator.Serialize(ga, "../../SGP_SantaFe.hl"); 173 171 } 174 172 175 173 [TestMethod] 176 public void Run ArtificialAntSampleTest() {177 var ga = Create ArtificialAntSample();174 public void RunGpArtificialAntSampleTest() { 175 var ga = CreateGpArtificialAntSample(); 178 176 ga.SetSeedRandomly.Value = false; 179 177 RunAlgorithm(ga); … … 184 182 } 185 183 186 public GeneticAlgorithm Create ArtificialAntSample() {184 public GeneticAlgorithm CreateGpArtificialAntSample() { 187 185 GeneticAlgorithm ga = new GeneticAlgorithm(); 188 186 #region problem configuration … … 221 219 #region symbolic regression 222 220 [TestMethod] 223 public void Create SymbolicRegressionSampleTest() {224 var ga = Create SymbolicRegressionSample();221 public void CreateGpSymbolicRegressionSampleTest() { 222 var ga = CreateGpSymbolicRegressionSample(); 225 223 XmlGenerator.Serialize(ga, "../../SGP_SymbReg.hl"); 226 224 } 227 225 [TestMethod] 228 public void Run SymbolicRegressionSampleTest() {229 var ga = Create SymbolicRegressionSample();226 public void RunGpSymbolicRegressionSampleTest() { 227 var ga = CreateGpSymbolicRegressionSample(); 230 228 ga.SetSeedRandomly.Value = false; 231 229 RunAlgorithm(ga); … … 236 234 } 237 235 238 private GeneticAlgorithm Create SymbolicRegressionSample() {236 private GeneticAlgorithm CreateGpSymbolicRegressionSample() { 239 237 GeneticAlgorithm ga = new GeneticAlgorithm(); 240 238 #region problem configuration … … 242 240 symbRegProblem.Name = "Tower Symbolic Regression Problem"; 243 241 symbRegProblem.Description = "Tower Dataset (downloaded from: http://vanillamodeling.com/realproblems.html)"; 244 // import and configure problem data 245 string filename = Path.GetTempFileName(); 246 using (var writer = File.CreateText(filename)) { 247 writer.Write(HeuristicLab_33.Tests.Properties.Resources.TowerData); 248 } 249 var towerProblemData = RegressionProblemData.ImportFromFile(filename); 242 var towerProblemData = RegressionProblemData.ImportFromFile("towerData.txt"); 250 243 towerProblemData.TargetVariableParameter.Value = towerProblemData.TargetVariableParameter.ValidValues 251 244 .First(v => v.Value == "towerResponse"); … … 341 334 342 335 [TestMethod] 343 public void Create SymbolicClassificationSampleTest() {344 var ga = Create SymbolicClassificationSample();336 public void CreateGpSymbolicClassificationSampleTest() { 337 var ga = CreateGpSymbolicClassificationSample(); 345 338 XmlGenerator.Serialize(ga, "../../SGP_SymbClass.hl"); 346 339 } 347 340 348 341 [TestMethod] 349 public void Run SymbolicClassificationSampleTest() {350 var ga = Create SymbolicClassificationSample();342 public void RunGpSymbolicClassificationSampleTest() { 343 var ga = CreateGpSymbolicClassificationSample(); 351 344 ga.SetSeedRandomly.Value = false; 352 345 RunAlgorithm(ga); … … 357 350 } 358 351 359 private GeneticAlgorithm Create SymbolicClassificationSample() {352 private GeneticAlgorithm CreateGpSymbolicClassificationSample() { 360 353 GeneticAlgorithm ga = new GeneticAlgorithm(); 361 354 #region problem configuration … … 363 356 symbClassProblem.Name = "Mammography Classification Problem"; 364 357 symbClassProblem.Description = "Mammography dataset imported from the UCI machine learning repository (http://archive.ics.uci.edu/ml/datasets/Mammographic+Mass)"; 365 // import and configure problem data 366 string filename = Path.GetTempFileName(); 367 using (var writer = File.CreateText(filename)) { 368 writer.Write(HeuristicLab_33.Tests.Properties.Resources.MammographicMasses); 369 } 370 var mammoData = ClassificationProblemData.ImportFromFile(filename); 358 var mammoData = ClassificationProblemData.ImportFromFile("mammographic_masses.txt"); 371 359 mammoData.TargetVariableParameter.Value = mammoData.TargetVariableParameter.ValidValues 372 360 .First(v => v.Value == "Severity"); … … 454 442 } 455 443 #endregion 444 #endregion 445 446 #region ES 447 #region Griewank 448 [TestMethod] 449 public void CreateEsGriewankSampleTest() { 450 var es = CreateEsGriewankSample(); 451 XmlGenerator.Serialize(es, "../../ES_Griewank.hl"); 452 } 453 [TestMethod] 454 public void RunEsGriewankSampleTest() { 455 var es = CreateEsGriewankSample(); 456 es.SetSeedRandomly.Value = false; 457 RunAlgorithm(es); 458 Assert.AreEqual(0, GetDoubleResult(es, "BestQuality")); 459 Assert.AreEqual(0, GetDoubleResult(es, "CurrentAverageQuality")); 460 Assert.AreEqual(0, GetDoubleResult(es, "CurrentWorstQuality")); 461 Assert.AreEqual(100020, GetIntResult(es, "EvaluatedSolutions")); 462 } 463 464 private EvolutionStrategy CreateEsGriewankSample() { 465 EvolutionStrategy es = new EvolutionStrategy(); 466 #region problem configuration 467 SingleObjectiveTestFunctionProblem problem = new SingleObjectiveTestFunctionProblem(); 468 469 problem.ProblemSize.Value = 10; 470 problem.Evaluator = new GriewankEvaluator(); 471 problem.SolutionCreator = new UniformRandomRealVectorCreator(); 472 problem.Maximization.Value = false; 473 problem.Bounds = new DoubleMatrix(new double[,] { { -600, 600 } }); 474 problem.BestKnownQuality.Value = 0; 475 problem.BestKnownSolutionParameter.Value = new RealVector(10); 476 problem.Name = "Single Objective Test Function"; 477 problem.Description = "Test function with real valued inputs and a single objective."; 478 #endregion 479 #region algorithm configuration 480 es.Name = "Evolution Strategy - Griewank"; 481 es.Description = "An evolution strategy which solves the 10-dimensional Griewank test function"; 482 es.Problem = problem; 483 ConfigureEvolutionStrategyParameters<AverageCrossover, NormalAllPositionsManipulator, 484 StdDevStrategyVectorCreator, StdDevStrategyVectorCrossover, StdDevStrategyVectorManipulator>( 485 es, 20, 500, 2, 200, false); 486 487 StdDevStrategyVectorCreator strategyCreator = (StdDevStrategyVectorCreator)es.StrategyParameterCreator; 488 strategyCreator.BoundsParameter.Value = new DoubleMatrix(new double[,] { { 1, 20 } }); 489 490 StdDevStrategyVectorManipulator strategyManipulator = (StdDevStrategyVectorManipulator)es.StrategyParameterManipulator; 491 strategyManipulator.BoundsParameter.Value = new DoubleMatrix(new double[,] { { 1E-12, 30 } }); 492 strategyManipulator.GeneralLearningRateParameter.Value = new DoubleValue(0.22360679774997896); 493 strategyManipulator.LearningRateParameter.Value = new DoubleValue(0.39763536438352531); 494 #endregion 495 return es; 496 } 497 498 #endregion 499 #endregion 500 501 #region Island GA 502 #region TSP 503 [TestMethod] 504 public void CreateIslandGaTspSampleTest() { 505 var ga = CreateIslandGaTspSample(); 506 XmlGenerator.Serialize(ga, "../../IslandGA_TSP.hl"); 507 } 508 [TestMethod] 509 public void RunIslandGaTspSampleTest() { 510 var ga = CreateIslandGaTspSample(); 511 ga.SetSeedRandomly.Value = false; 512 RunAlgorithm(ga); 513 Assert.AreEqual(10469, GetDoubleResult(ga, "BestQuality")); 514 Assert.AreEqual(11184.87, GetDoubleResult(ga, "CurrentAverageQuality")); 515 Assert.AreEqual(13420, GetDoubleResult(ga, "CurrentWorstQuality")); 516 Assert.AreEqual(495500, GetIntResult(ga, "EvaluatedSolutions")); 517 } 518 519 private IslandGeneticAlgorithm CreateIslandGaTspSample() { 520 IslandGeneticAlgorithm ga = new IslandGeneticAlgorithm(); 521 #region problem configuration 522 TravelingSalesmanProblem tspProblem = new TravelingSalesmanProblem(); 523 tspProblem.ImportFromTSPLIB("ch130.tsp", "ch130.opt.tour", 6110); 524 tspProblem.Evaluator = new TSPRoundedEuclideanPathEvaluator(); 525 tspProblem.SolutionCreator = new RandomPermutationCreator(); 526 tspProblem.UseDistanceMatrix.Value = true; 527 tspProblem.Name = "ch130 TSP (imported from TSPLIB)"; 528 tspProblem.Description = "130 city problem (Churritz)"; 529 #endregion 530 #region algorithm configuration 531 ga.Name = "Island Genetic Algorithm - TSP"; 532 ga.Description = "An island genetic algorithm which solves the \"ch130\" traveling salesman problem (imported from TSPLIB)"; 533 ga.Problem = tspProblem; 534 ConfigureIslandGeneticAlgorithmParameters<ProportionalSelector, OrderCrossover2, InversionManipulator, 535 UnidirectionalRingMigrator, BestSelector, WorstReplacer>( 536 ga, 100, 1, 1000, 0.05, 5, 50, 0.25); 537 538 ga.Analyzer.Operators.SetItemCheckedState(ga.Analyzer.Operators 539 .OfType<TSPAlleleFrequencyAnalyzer>() 540 .Single(), false); 541 ga.Analyzer.Operators.SetItemCheckedState(ga.Analyzer.Operators 542 .OfType<TSPPopulationDiversityAnalyzer>() 543 .Single(), false); 544 #endregion 545 return ga; 546 } 547 548 #endregion 549 #endregion 550 551 #region LS 552 #region Knapsack 553 [TestMethod] 554 public void CreateLocalSearchKnapsackSampleTest() { 555 var ls = CreateLocalSearchKnapsackSample(); 556 XmlGenerator.Serialize(ls, "../../LS_Knapsack.hl"); 557 } 558 [TestMethod] 559 public void RunLocalSearchKnapsackSampleTest() { 560 var ls = CreateLocalSearchKnapsackSample(); 561 ls.SetSeedRandomly.Value = false; 562 RunAlgorithm(ls); 563 Assert.AreEqual(345, GetDoubleResult(ls, "BestQuality")); 564 Assert.AreEqual(340.70731707317071, GetDoubleResult(ls, "CurrentAverageQuality")); 565 Assert.AreEqual(337, GetDoubleResult(ls, "CurrentWorstQuality")); 566 Assert.AreEqual(82000, GetIntResult(ls, "EvaluatedMoves")); 567 } 568 569 private LocalSearch CreateLocalSearchKnapsackSample() { 570 LocalSearch ls = new LocalSearch(); 571 #region problem configuration 572 KnapsackProblem problem = new KnapsackProblem(); 573 problem.BestKnownQuality = new DoubleValue(362); 574 problem.BestKnownSolution = new HeuristicLab.Encodings.BinaryVectorEncoding.BinaryVector(new bool[] { 575 true , false, false, true , true , true , true , true , false, true , true , true , true , true , true , false, true , false, true , true , false, true , true , false, true , false, true , true , true , false, true , true , false, true , true , false, true , false, true , true , true , true , true , true , true , true , true , true , true , true , true , false, true , false, false, true , true , false, true , true , true , true , true , true , true , true , false, true , false, true , true , true , true , false, true , true , true , true , true , true , true , true}); 576 problem.Evaluator = new KnapsackEvaluator(); 577 problem.SolutionCreator = new RandomBinaryVectorCreator(); 578 problem.KnapsackCapacity.Value = 297; 579 problem.Maximization.Value = true; 580 problem.Penalty.Value = 1; 581 problem.Values = new IntArray(new int[] { 582 6, 1, 1, 6, 7, 8, 7, 4, 2, 5, 2, 6, 7, 8, 7, 1, 7, 1, 9, 4, 2, 6, 5, 3, 5, 3, 3, 6, 5, 2, 4, 9, 4, 5, 7, 1, 4, 3, 5, 5, 8, 3, 6, 7, 3, 9, 7, 7, 5, 5, 7, 1, 4, 4, 3, 9, 5, 1, 6, 2, 2, 6, 1, 6, 5, 4, 4, 7, 1, 8, 9, 9, 7, 4, 3, 8, 7, 5, 7, 4, 4, 5}); 583 problem.Weights = new IntArray(new int[] { 584 1, 9, 3, 6, 5, 3, 8, 1, 7, 4, 2, 1, 2, 7, 9, 9, 8, 4, 9, 2, 4, 8, 3, 7, 5, 7, 5, 5, 1, 9, 8, 7, 8, 9, 1, 3, 3, 8, 8, 5, 1, 2, 4, 3, 6, 9, 4, 4, 9, 7, 4, 5, 1, 9, 7, 6, 7, 4, 7, 1, 2, 1, 2, 9, 8, 6, 8, 4, 7, 6, 7, 5, 3, 9, 4, 7, 4, 6, 1, 2, 5, 4}); 585 problem.Name = "Knapsack Problem"; 586 problem.Description = "Represents a Knapsack problem."; 587 #endregion 588 #region algorithm configuration 589 ls.Name = "Local Search - Knapsack"; 590 ls.Description = "A local search algorithm that solves a randomly generated Knapsack problem"; 591 ls.Problem = problem; 592 ls.MaximumIterations.Value = 1000; 593 ls.MoveEvaluator = ls.MoveEvaluatorParameter.ValidValues 594 .OfType<KnapsackOneBitflipMoveEvaluator>() 595 .Single(); 596 ls.MoveGenerator = ls.MoveGeneratorParameter.ValidValues 597 .OfType<ExhaustiveOneBitflipMoveGenerator>() 598 .Single(); 599 ls.MoveMaker = ls.MoveMakerParameter.ValidValues 600 .OfType<OneBitflipMoveMaker>() 601 .Single(); 602 ls.SampleSize.Value = 100; 603 ls.Seed.Value = 0; 604 ls.SetSeedRandomly.Value = true; 605 606 #endregion 607 ls.Engine = new ParallelEngine(); 608 return ls; 609 } 610 611 #endregion 612 #endregion 613 614 #region PSO 615 #region Schwefel 616 [TestMethod] 617 public void CreatePsoSchwefelSampleTest() { 618 var pso = CreatePsoSchwefelSample(); 619 XmlGenerator.Serialize(pso, "../../PSO_Schwefel.hl"); 620 } 621 [TestMethod] 622 public void RunPsoSchwefelSampleTest() { 623 var pso = CreatePsoSchwefelSample(); 624 pso.SetSeedRandomly.Value = false; 625 RunAlgorithm(pso); 626 Assert.AreEqual(119.33873327772062, GetDoubleResult(pso, "BestQuality")); 627 Assert.AreEqual(140.71570105946438, GetDoubleResult(pso, "CurrentAverageQuality")); 628 Assert.AreEqual(220.956806502853, GetDoubleResult(pso, "CurrentWorstQuality")); 629 Assert.AreEqual(1000, GetIntResult(pso, "Iterations")); 630 } 631 private ParticleSwarmOptimization CreatePsoSchwefelSample() { 632 ParticleSwarmOptimization pso = new ParticleSwarmOptimization(); 633 #region problem configuration 634 var problem = new SingleObjectiveTestFunctionProblem(); 635 problem.BestKnownQuality.Value = 0.0; 636 problem.BestKnownSolutionParameter.Value = new RealVector(new double[] { 420.968746, 420.968746 }); 637 problem.Bounds = new DoubleMatrix(new double[,] { { -500, 500 } }); 638 problem.Evaluator = new SchwefelEvaluator(); 639 problem.Maximization.Value = false; 640 problem.ProblemSize.Value = 2; 641 problem.SolutionCreator = new UniformRandomRealVectorCreator(); 642 #endregion 643 #region algorithm configuration 644 pso.Name = "Particle Swarm Optimization - Schwefel"; 645 pso.Description = "A particle swarm optimization algorithm which solves the 2-dimensional Schwefel test function (based on the description in Pedersen, M.E.H. (2010). PhD thesis. University of Southampton)"; 646 pso.Problem = problem; 647 pso.Inertia.Value = 10; 648 pso.MaxIterations.Value = 1000; 649 pso.NeighborBestAttraction.Value = 0.5; 650 pso.PersonalBestAttraction.Value = -0.01; 651 pso.SwarmSize.Value = 50; 652 653 var inertiaUpdater = pso.InertiaUpdaterParameter.ValidValues 654 .OfType<ExponentialDiscreteDoubleValueModifier>() 655 .Single(); 656 inertiaUpdater.StartValueParameter.Value = new DoubleValue(10); 657 inertiaUpdater.EndValueParameter.Value = new DoubleValue(1); 658 pso.InertiaUpdater = inertiaUpdater; 659 660 pso.ParticleCreator = pso.ParticleCreatorParameter.ValidValues 661 .OfType<RealVectorParticleCreator>() 662 .Single(); 663 var swarmUpdater = pso.SwarmUpdaterParameter.ValidValues 664 .OfType<RealVectorSwarmUpdater>() 665 .Single(); 666 swarmUpdater.VelocityBoundsIndexParameter.ActualName = "Iterations"; 667 swarmUpdater.VelocityBoundsParameter.Value = new DoubleMatrix(new double[,] { { -10, 10 } }); 668 swarmUpdater.VelocityBoundsStartValueParameter.Value = new DoubleValue(10.0); 669 swarmUpdater.VelocityBoundsEndValueParameter.Value = new DoubleValue(1.0); 670 swarmUpdater.VelocityBoundsScalingOperatorParameter.Value = swarmUpdater.VelocityBoundsScalingOperatorParameter.ValidValues 671 .OfType<ExponentialDiscreteDoubleValueModifier>() 672 .Single(); 673 674 pso.TopologyInitializer = null; 675 pso.TopologyUpdater = null; 676 pso.SwarmUpdater = swarmUpdater; 677 pso.Seed.Value = 0; 678 pso.SetSeedRandomly.Value = true; 679 680 #endregion 681 pso.Engine = new ParallelEngine(); 682 return pso; 683 } 684 #endregion 685 #endregion 686 687 #region SA 688 #region Rastrigin 689 [TestMethod] 690 public void CreateSimulatedAnnealingRastriginSampleTest() { 691 var sa = CreateSimulatedAnnealingRastriginSample(); 692 XmlGenerator.Serialize(sa, "../../SA_Rastrigin.hl"); 693 } 694 [TestMethod] 695 public void RunSimulatedAnnealingRastriginSampleTest() { 696 var sa = CreateSimulatedAnnealingRastriginSample(); 697 sa.SetSeedRandomly.Value = false; 698 RunAlgorithm(sa); 699 Assert.AreEqual(0.00014039606034543795, GetDoubleResult(sa, "BestQuality")); 700 Assert.AreEqual(5000, GetIntResult(sa, "EvaluatedMoves")); 701 } 702 private SimulatedAnnealing CreateSimulatedAnnealingRastriginSample() { 703 SimulatedAnnealing sa = new SimulatedAnnealing(); 704 #region problem configuration 705 var problem = new SingleObjectiveTestFunctionProblem(); 706 problem.BestKnownQuality.Value = 0.0; 707 problem.BestKnownSolutionParameter.Value = new RealVector(new double[] { 0, 0 }); 708 problem.Bounds = new DoubleMatrix(new double[,] { { -5.12, 5.12 } }); 709 problem.Evaluator = new RastriginEvaluator(); 710 problem.Maximization.Value = false; 711 problem.ProblemSize.Value = 2; 712 problem.SolutionCreator = new UniformRandomRealVectorCreator(); 713 #endregion 714 #region algorithm configuration 715 sa.Name = "Simulated Annealing - Rastrigin"; 716 sa.Description = "A simulated annealing algorithm that solves the 2-dimensional Rastrigin test function"; 717 sa.Problem = problem; 718 var annealingOperator = sa.AnnealingOperatorParameter.ValidValues 719 .OfType<ExponentialDiscreteDoubleValueModifier>() 720 .Single(); 721 annealingOperator.StartIndexParameter.Value = new IntValue(0); 722 sa.AnnealingOperator = annealingOperator; 723 724 sa.EndTemperature.Value = 1E-6; 725 sa.InnerIterations.Value = 50; 726 sa.MaximumIterations.Value = 100; 727 var moveEvaluator = sa.MoveEvaluatorParameter.ValidValues 728 .OfType<RastriginAdditiveMoveEvaluator>() 729 .Single(); 730 moveEvaluator.A.Value = 10; 731 sa.MoveEvaluator = moveEvaluator; 732 733 var moveGenerator = sa.MoveGeneratorParameter.ValidValues 734 .OfType<StochasticNormalMultiMoveGenerator>() 735 .Single(); 736 moveGenerator.SigmaParameter.Value = new DoubleValue(1); 737 sa.MoveGenerator = moveGenerator; 738 739 sa.MoveMaker = sa.MoveMakerParameter.ValidValues 740 .OfType<AdditiveMoveMaker>() 741 .Single(); 742 743 sa.Seed.Value = 0; 744 sa.SetSeedRandomly.Value = true; 745 sa.StartTemperature.Value = 1; 746 #endregion 747 sa.Engine = new ParallelEngine(); 748 return sa; 749 } 750 #endregion 751 #endregion 752 753 #region TS 754 #region TSP 755 [TestMethod] 756 public void CreateTabuSearchTspSampleTest() { 757 var ts = CreateTabuSearchTspSample(); 758 XmlGenerator.Serialize(ts, "../../TS_TSP.hl"); 759 } 760 [TestMethod] 761 public void RunTabuSearchTspSampleTest() { 762 var ts = CreateTabuSearchTspSample(); 763 ts.SetSeedRandomly.Value = false; 764 RunAlgorithm(ts); 765 Assert.AreEqual(6441, GetDoubleResult(ts, "BestQuality")); 766 Assert.AreEqual(7401.666666666667, GetDoubleResult(ts, "CurrentAverageQuality")); 767 Assert.AreEqual(8418, GetDoubleResult(ts, "CurrentWorstQuality")); 768 Assert.AreEqual(750000, GetIntResult(ts, "EvaluatedMoves")); 769 } 770 771 private TabuSearch CreateTabuSearchTspSample() { 772 TabuSearch ts = new TabuSearch(); 773 #region problem configuration 774 var tspProblem = new TravelingSalesmanProblem(); 775 tspProblem.ImportFromTSPLIB("ch130.tsp", "ch130.opt.tour", 6110); 776 tspProblem.Evaluator = new TSPRoundedEuclideanPathEvaluator(); 777 tspProblem.SolutionCreator = new RandomPermutationCreator(); 778 tspProblem.UseDistanceMatrix.Value = true; 779 tspProblem.Name = "ch130 TSP (imported from TSPLIB)"; 780 tspProblem.Description = "130 city problem (Churritz)"; 781 #endregion 782 #region algorithm configuration 783 ts.Name = "Tabu Search - TSP"; 784 ts.Description = "A tabu search algorithm that solves the \"ch130\" TSP (imported from TSPLIB)"; 785 ts.Problem = tspProblem; 786 787 ts.MaximumIterations.Value = 1000; 788 // move generator has to be set first 789 var moveGenerator = ts.MoveGeneratorParameter.ValidValues 790 .OfType<StochasticInversionMultiMoveGenerator>() 791 .Single(); 792 ts.MoveGenerator = moveGenerator; 793 var moveEvaluator = ts.MoveEvaluatorParameter.ValidValues 794 .OfType<TSPInversionMoveRoundedEuclideanPathEvaluator>() 795 .Single(); 796 ts.MoveEvaluator = moveEvaluator; 797 var moveMaker = ts.MoveMakerParameter.ValidValues 798 .OfType<InversionMoveMaker>() 799 .Single(); 800 ts.MoveMaker = moveMaker; 801 ts.SampleSize.Value = 750; 802 ts.Seed.Value = 0; 803 ts.SetSeedRandomly.Value = true; 804 805 var tabuChecker = ts.TabuCheckerParameter.ValidValues 806 .OfType<InversionMoveSoftTabuCriterion>() 807 .Single(); 808 tabuChecker.UseAspirationCriterion.Value = true; 809 ts.TabuChecker = tabuChecker; 810 811 var tabuMaker = ts.TabuMakerParameter.ValidValues 812 .OfType<InversionMoveTabuMaker>() 813 .Single(); 814 ts.TabuMaker = tabuMaker; 815 ts.TabuTenure.Value = 60; 816 817 ts.Analyzer.Operators.SetItemCheckedState(ts.Analyzer.Operators 818 .OfType<TSPAlleleFrequencyAnalyzer>() 819 .Single(), false); 820 ts.Analyzer.Operators.SetItemCheckedState(ts.Analyzer.Operators 821 .OfType<TSPPopulationDiversityAnalyzer>() 822 .Single(), false); 823 #endregion 824 ts.Engine = new ParallelEngine(); 825 return ts; 826 } 827 828 #endregion 829 #endregion 830 831 #region VNS 832 #region TSP 833 [TestMethod] 834 public void CreateVnsTspSampleTest() { 835 var vns = CreateVnsTspSample(); 836 XmlGenerator.Serialize(vns, "../../VNS_TSP.hl"); 837 } 838 [TestMethod] 839 public void RunVnsTspSampleTest() { 840 var vns = CreateVnsTspSample(); 841 vns.SetSeedRandomly = false; 842 RunAlgorithm(vns); 843 Assert.AreEqual(867, GetDoubleResult(vns, "BestQuality")); 844 Assert.AreEqual(867, GetDoubleResult(vns, "CurrentAverageQuality")); 845 Assert.AreEqual(867, GetDoubleResult(vns, "CurrentWorstQuality")); 846 Assert.AreEqual(12975173, GetIntResult(vns, "EvaluatedMoves")); 847 } 848 849 private VariableNeighborhoodSearch CreateVnsTspSample() { 850 VariableNeighborhoodSearch vns = new VariableNeighborhoodSearch(); 851 #region problem configuration 852 TravelingSalesmanProblem tspProblem = new TravelingSalesmanProblem(); 853 tspProblem.BestKnownSolution = new Permutation(PermutationTypes.Absolute, new int[] { 854 117, 65, 73, 74, 75, 76, 82, 86, 87, 94, 100, 106, 115, 120, 124, 107, 101, 108, 109, 102, 97, 90, 96, 95, 88, 89, 84, 78, 69, 57, 68, 56, 44, 55, 45, 36, 46, 37, 38, 47, 48, 59, 49, 58, 70, 77, 83, 79, 50, 80, 85, 98, 103, 110, 116, 121, 125, 133, 132, 138, 139, 146, 147, 159, 168, 169, 175, 182, 188, 201, 213, 189, 214, 221, 230, 246, 262, 276, 284, 275, 274, 261, 245, 229, 220, 228, 243, 259, 273, 282, 272, 258, 242, 257, 293, 292, 302, 310, 319, 320, 327, 326, 333, 340, 346, 339, 345, 344, 337, 338, 332, 325, 318, 309, 301, 291, 271, 251, 270, 233, 250, 269, 268, 280, 290, 300, 415, 440, 416, 417, 441, 458, 479, 418, 419, 395, 420, 442, 421, 396, 397, 422, 423, 461, 481, 502, 460, 501, 459, 480, 500, 517, 531, 516, 530, 499, 478, 457, 439, 414, 413, 412, 438, 456, 477, 498, 515, 529, 538, 547, 558, 559, 560, 548, 539, 549, 561, 562, 551, 550, 532, 540, 533, 541, 518, 534, 542, 552, 553, 554, 555, 535, 543, 556, 544, 536, 522, 505, 521, 520, 504, 519, 503, 482, 462, 463, 464, 483, 443, 465, 484, 506, 485, 507, 508, 487, 467, 486, 466, 445, 428, 444, 424, 425, 426, 427, 398, 399, 400, 381, 382, 371, 372, 401, 429, 446, 430, 402, 383, 366, 356, 357, 352, 385, 384, 403, 431, 447, 469, 468, 488, 489, 490, 470, 471, 448, 432, 433, 404, 405, 386, 373, 374, 367, 376, 375, 387, 491, 509, 537, 510, 492, 472, 449, 388, 389, 406, 450, 407, 377, 368, 359, 354, 350, 335, 324, 330, 390, 434, 451, 473, 493, 511, 523, 545, 563, 565, 567, 570, 569, 578, 577, 576, 575, 574, 573, 572, 580, 584, 583, 582, 587, 586, 585, 581, 579, 571, 568, 566, 564, 557, 546, 527, 513, 526, 525, 524, 512, 495, 494, 474, 452, 436, 409, 435, 453, 475, 496, 514, 528, 497, 455, 476, 454, 437, 411, 410, 394, 393, 392, 380, 370, 379, 408, 391, 378, 369, 364, 365, 361, 355, 351, 343, 336, 331, 317, 299, 286, 287, 278, 263, 264, 265, 223, 202, 248, 266, 279, 288, 289, 281, 267, 249, 232, 224, 216, 215, 204, 192, 193, 194, 186, 179, 185, 203, 191, 190, 177, 171, 161, 128, 135, 140, 149, 162, 150, 163, 172, 178, 173, 164, 152, 151, 141, 153, 165, 154, 142, 155, 143, 137, 136, 130, 129, 118, 114, 113, 105, 119, 123, 131, 144, 156, 157, 145, 158, 166, 167, 174, 180, 181, 187, 195, 205, 217, 226, 236, 225, 234, 252, 235, 253, 254, 255, 238, 239, 240, 241, 256, 237, 206, 207, 208, 196, 197, 198, 209, 199, 200, 211, 212, 219, 210, 218, 227, 244, 260, 283, 294, 295, 303, 296, 311, 304, 297, 298, 305, 285, 306, 314, 329, 321, 313, 312, 328, 334, 341, 347, 348, 353, 358, 362, 363, 360, 349, 342, 322, 323, 315, 316, 308, 307, 277, 247, 231, 222, 184, 183, 176, 170, 160, 148, 134, 127, 126, 111, 104, 92, 91, 71, 60, 51, 52, 40, 32, 23, 21, 20, 18, 17, 16, 14, 13, 11, 10, 7, 6, 5, 2, 1, 0, 3, 4, 31, 39, 25, 30, 35, 34, 33, 43, 54, 42, 27, 28, 29, 9, 8, 12, 15, 19, 22, 24, 26, 41, 67, 66, 64, 63, 53, 62, 61, 72, 81, 93, 99, 112, 122, 855 }); 856 tspProblem.Coordinates = new DoubleMatrix(new double[,] { 857 {48, 71}, {49, 71}, {50, 71}, {44, 70}, {45, 70}, {52, 70}, {53, 70}, {54, 70}, {41, 69}, {42, 69}, {55, 69}, {56, 69}, {40, 68}, {56, 68}, {57, 68}, {39, 67}, {57, 67}, {58, 67}, {59, 67}, {38, 66}, {59, 66}, {60, 66}, {37, 65}, {60, 65}, {36, 64}, {43, 64}, {35, 63}, {37, 63}, {41, 63}, {42, 63}, {43, 63}, {47, 63}, {61, 63}, {40, 62}, {41, 62}, {42, 62}, {43, 62}, {45, 62}, {46, 62}, {47, 62}, {62, 62}, {34, 61}, {38, 61}, {39, 61}, {42, 61}, {43, 61}, {44, 61}, {45, 61}, {46, 61}, {47, 61}, {52, 61}, {62, 61}, {63, 61}, {26, 60}, {38, 60}, {42, 60}, {43, 60}, {44, 60}, {46, 60}, {47, 60}, {63, 60}, {23, 59}, {24, 59}, {27, 59}, {29, 59}, {30, 59}, {31, 59}, {33, 59}, {42, 59}, {46, 59}, {47, 59}, {63, 59}, {21, 58}, {32, 58}, {33, 58}, {34, 58}, {35, 58}, {46, 58}, {47, 58}, {48, 58}, {53, 58}, {21, 57}, {35, 57}, {47, 57}, {48, 57}, {53, 57}, {36, 56}, {37, 56}, {46, 56}, {47, 56}, {48, 56}, {64, 56}, {65, 56}, {20, 55}, {38, 55}, {46, 55}, {47, 55}, {48, 55}, {52, 55}, {21, 54}, {40, 54}, {47, 54}, {48, 54}, {52, 54}, {65, 54}, {30, 53}, {41, 53}, {46, 53}, {47, 53}, {48, 53}, {52, 53}, {65, 53}, {21, 52}, {32, 52}, {33, 52}, {42, 52}, {51, 52}, {21, 51}, {33, 51}, {34, 51}, {43, 51}, {51, 51}, {21, 50}, {35, 50}, {44, 50}, {50, 50}, {66, 50}, {67, 50}, {21, 49}, {34, 49}, {36, 49}, {37, 49}, {46, 49}, {49, 49}, {67, 49}, {22, 48}, {36, 48}, {37, 48}, {46, 48}, {47, 48}, {22, 47}, {30, 47}, {34, 47}, {37, 47}, {38, 47}, {39, 47}, {47, 47}, {48, 47}, {67, 47}, {23, 46}, {28, 46}, {29, 46}, {30, 46}, {31, 46}, {32, 46}, {35, 46}, {37, 46}, {38, 46}, {39, 46}, {49, 46}, {67, 46}, {23, 45}, {28, 45}, {29, 45}, {31, 45}, {32, 45}, {40, 45}, {41, 45}, {49, 45}, {50, 45}, {68, 45}, {24, 44}, {29, 44}, {32, 44}, {41, 44}, {51, 44}, {68, 44}, {25, 43}, {30, 43}, {32, 43}, {42, 43}, {43, 43}, {51, 43}, {68, 43}, {69, 43}, {31, 42}, {32, 42}, {43, 42}, {52, 42}, {55, 42}, {26, 41}, {27, 41}, {31, 41}, {32, 41}, {33, 41}, {44, 41}, {45, 41}, {46, 41}, {47, 41}, {48, 41}, {49, 41}, {53, 41}, {25, 40}, {27, 40}, {32, 40}, {43, 40}, {44, 40}, {45, 40}, {46, 40}, {48, 40}, {49, 40}, {50, 40}, {51, 40}, {53, 40}, {56, 40}, {32, 39}, {33, 39}, {43, 39}, {50, 39}, {51, 39}, {54, 39}, {56, 39}, {69, 39}, {24, 38}, {32, 38}, {41, 38}, {42, 38}, {51, 38}, {52, 38}, {54, 38}, {57, 38}, {69, 38}, {31, 37}, {32, 37}, {40, 37}, {41, 37}, {42, 37}, {43, 37}, {44, 37}, {45, 37}, {46, 37}, {47, 37}, {48, 37}, {51, 37}, {52, 37}, {55, 37}, {57, 37}, {69, 37}, {24, 36}, {31, 36}, {32, 36}, {39, 36}, {40, 36}, {41, 36}, {42, 36}, {43, 36}, {45, 36}, {48, 36}, {49, 36}, {51, 36}, {53, 36}, {55, 36}, {58, 36}, {22, 35}, {23, 35}, {24, 35}, {25, 35}, {30, 35}, {31, 35}, {32, 35}, {39, 35}, {41, 35}, {49, 35}, {51, 35}, {55, 35}, {56, 35}, {58, 35}, {71, 35}, {20, 34}, {27, 34}, {30, 34}, {31, 34}, {51, 34}, {53, 34}, {57, 34}, {60, 34}, {18, 33}, {19, 33}, {29, 33}, {30, 33}, {31, 33}, {45, 33}, {46, 33}, {47, 33}, {52, 33}, {53, 33}, {55, 33}, {57, 33}, {58, 33}, {17, 32}, {30, 32}, {44, 32}, {47, 32}, {54, 32}, {57, 32}, {59, 32}, {61, 32}, {71, 32}, {72, 32}, {43, 31}, {47, 31}, {56, 31}, {58, 31}, {59, 31}, {61, 31}, {72, 31}, {74, 31}, {16, 30}, {43, 30}, {46, 30}, {47, 30}, {59, 30}, {63, 30}, {71, 30}, {75, 30}, {43, 29}, {46, 29}, {47, 29}, {59, 29}, {60, 29}, {75, 29}, {15, 28}, {43, 28}, {46, 28}, {61, 28}, {76, 28}, {15, 27}, {43, 27}, {44, 27}, {45, 27}, {46, 27}, {60, 27}, {62, 27}, {15, 26}, {43, 26}, {44, 26}, {46, 26}, {59, 26}, {60, 26}, {64, 26}, {77, 26}, {15, 25}, {58, 25}, {61, 25}, {77, 25}, {15, 24}, {53, 24}, {55, 24}, {61, 24}, {77, 24}, {62, 23}, {16, 22}, {61, 22}, {62, 22}, {15, 21}, {16, 21}, {52, 21}, {63, 21}, {77, 21}, {16, 20}, {17, 20}, {46, 20}, {47, 20}, {60, 20}, {62, 20}, {63, 20}, {65, 20}, {76, 20}, {15, 19}, {17, 19}, {18, 19}, {44, 19}, {45, 19}, {48, 19}, {53, 19}, {56, 19}, {60, 19}, {62, 19}, {67, 19}, {68, 19}, {76, 19}, {15, 18}, {18, 18}, {19, 18}, {20, 18}, {32, 18}, {33, 18}, {34, 18}, {41, 18}, {42, 18}, {43, 18}, {46, 18}, {48, 18}, {53, 18}, {59, 18}, {60, 18}, {69, 18}, {75, 18}, {16, 17}, {17, 17}, {20, 17}, {21, 17}, {22, 17}, {23, 17}, {24, 17}, {26, 17}, {28, 17}, {29, 17}, {30, 17}, {31, 17}, {32, 17}, {34, 17}, {35, 17}, {36, 17}, {37, 17}, {38, 17}, {39, 17}, {40, 17}, {44, 17}, {46, 17}, {48, 17}, {53, 17}, {56, 17}, {58, 17}, {75, 17}, {17, 16}, {18, 16}, {20, 16}, {24, 16}, {26, 16}, {27, 16}, {29, 16}, {33, 16}, {41, 16}, {42, 16}, {44, 16}, {47, 16}, {52, 16}, {57, 16}, {70, 16}, {73, 16}, {74, 16}, {17, 15}, {18, 15}, {20, 15}, {22, 15}, {24, 15}, {27, 15}, {29, 15}, {31, 15}, {33, 15}, {35, 15}, {36, 15}, {38, 15}, {39, 15}, {42, 15}, {45, 15}, {47, 15}, {52, 15}, {53, 15}, {55, 15}, {56, 15}, {70, 15}, {73, 15}, {17, 14}, {19, 14}, {21, 14}, {24, 14}, {26, 14}, {29, 14}, {31, 14}, {34, 14}, {37, 14}, {40, 14}, {42, 14}, {44, 14}, {46, 14}, {47, 14}, {53, 14}, {54, 14}, {55, 14}, {62, 14}, {70, 14}, {72, 14}, {17, 13}, {19, 13}, {21, 13}, {23, 13}, {25, 13}, {27, 13}, {30, 13}, {32, 13}, {34, 13}, {36, 13}, {38, 13}, {41, 13}, {43, 13}, {44, 13}, {45, 13}, {60, 13}, {70, 13}, {71, 13}, {18, 12}, {21, 12}, {23, 12}, {26, 12}, {28, 12}, {31, 12}, {34, 12}, {37, 12}, {39, 12}, {41, 12}, {42, 12}, {70, 12}, {18, 11}, {19, 11}, {20, 11}, {21, 11}, {24, 11}, {25, 11}, {27, 11}, {29, 11}, {31, 11}, {33, 11}, {35, 11}, {38, 11}, {41, 11}, {59, 11}, {26, 10}, {29, 10}, {32, 10}, {34, 10}, {36, 10}, {39, 10}, {40, 10}, {69, 10}, {21, 9}, {26, 9}, {28, 9}, {30, 9}, {32, 9}, {33, 9}, {35, 9}, {36, 9}, {37, 9}, {38, 9}, {39, 9}, {22, 8}, {27, 8}, {28, 8}, {29, 8}, {30, 8}, {31, 8}, {68, 8}, {23, 7}, {66, 7}, {24, 6}, {65, 6}, {25, 5}, {62, 5}, {63, 5}, {26, 4}, {55, 4}, {56, 4}, {57, 4}, {58, 4}, {59, 4}, {60, 4}, {61, 4}, {28, 3}, {53, 3}, {29, 2}, {50, 2}, {51, 2}, {52, 2}, {31, 1}, {32, 1}, {48, 1} 858 }); 859 tspProblem.BestKnownQuality = new DoubleValue(867); 860 861 tspProblem.Evaluator = new TSPRoundedEuclideanPathEvaluator(); 862 tspProblem.SolutionCreator = new RandomPermutationCreator(); 863 tspProblem.UseDistanceMatrix.Value = true; 864 tspProblem.Name = "Funny TSP"; 865 tspProblem.Description = "Represents a symmetric Traveling Salesman Problem."; 866 #endregion 867 #region algorithm configuration 868 vns.Name = "Variable Neighborhood Search - TSP"; 869 vns.Description = "A variable neighborhood search algorithm which solves a funny TSP instance"; 870 vns.Problem = tspProblem; 871 872 var localImprovement = vns.LocalImprovementParameter.ValidValues 873 .OfType<LocalSearchImprovementOperator>() 874 .Single(); 875 // move generator has to be set first 876 localImprovement.MoveGenerator = localImprovement.MoveGeneratorParameter.ValidValues 877 .OfType<StochasticInversionMultiMoveGenerator>() 878 .Single(); 879 localImprovement.MoveEvaluator = localImprovement.MoveEvaluatorParameter.ValidValues 880 .OfType<TSPInversionMoveRoundedEuclideanPathEvaluator>() 881 .Single(); 882 localImprovement.MoveMaker = localImprovement.MoveMakerParameter.ValidValues 883 .OfType<InversionMoveMaker>() 884 .Single(); 885 localImprovement.SampleSizeParameter.Value = new IntValue(500); 886 vns.LocalImprovement = localImprovement; 887 888 vns.LocalImprovementMaximumIterations = 150; 889 vns.MaximumIterations = 25; 890 vns.Seed = 0; 891 vns.SetSeedRandomly = true; 892 var shakingOperator = vns.ShakingOperatorParameter.ValidValues 893 .OfType<PermutationShakingOperator>() 894 .Single(); 895 shakingOperator.Operators.SetItemCheckedState(shakingOperator.Operators 896 .OfType<Swap2Manipulator>() 897 .Single(), false); 898 shakingOperator.Operators.SetItemCheckedState(shakingOperator.Operators 899 .OfType<Swap3Manipulator>() 900 .Single(), false); 901 vns.ShakingOperator = shakingOperator; 902 vns.Analyzer.Operators.SetItemCheckedState(vns.Analyzer.Operators 903 .OfType<TSPAlleleFrequencyAnalyzer>() 904 .Single(), false); 905 vns.Analyzer.Operators.SetItemCheckedState(vns.Analyzer.Operators 906 .OfType<TSPPopulationDiversityAnalyzer>() 907 .Single(), false); 908 #endregion 909 vns.Engine = new ParallelEngine(); 910 return vns; 911 } 912 913 #endregion 914 #endregion 915 #region helper 916 private void ConfigureEvolutionStrategyParameters<R, M, SC, SR, SM>(EvolutionStrategy es, int popSize, int children, int parentsPerChild, int maxGens, bool plusSelection) 917 where R : ICrossover 918 where M : IManipulator 919 where SC : IStrategyParameterCreator 920 where SR : IStrategyParameterCrossover 921 where SM : IStrategyParameterManipulator { 922 es.PopulationSize.Value = popSize; 923 es.Children.Value = children; 924 es.ParentsPerChild.Value = parentsPerChild; 925 es.MaximumGenerations.Value = maxGens; 926 es.PlusSelection.Value = false; 927 928 es.Seed.Value = 0; 929 es.SetSeedRandomly.Value = true; 930 931 es.Recombinator = es.RecombinatorParameter.ValidValues 932 .OfType<R>() 933 .Single(); 934 935 es.Mutator = es.MutatorParameter.ValidValues 936 .OfType<M>() 937 .Single(); 938 939 es.StrategyParameterCreator = es.StrategyParameterCreatorParameter.ValidValues 940 .OfType<SC>() 941 .Single(); 942 es.StrategyParameterCrossover = es.StrategyParameterCrossoverParameter.ValidValues 943 .OfType<SR>() 944 .Single(); 945 es.StrategyParameterManipulator = es.StrategyParameterManipulatorParameter.ValidValues 946 .OfType<SM>() 947 .Single(); 948 es.Engine = new ParallelEngine(); 949 } 456 950 457 951 private void ConfigureGeneticAlgorithmParameters<S, C, M>(GeneticAlgorithm ga, int popSize, int elites, int maxGens, double mutationRate, int tournGroupSize = 0) … … 479 973 var tSelector = ga.Selector as TournamentSelector; 480 974 if (tSelector != null) { 481 tSelector.GroupSizeParameter.Value.Value = 5;975 tSelector.GroupSizeParameter.Value.Value = tournGroupSize; 482 976 } 977 ga.Engine = new ParallelEngine(); 978 } 979 980 private void ConfigureIslandGeneticAlgorithmParameters<S, C, M, Mi, MiS, MiR>(IslandGeneticAlgorithm ga, int popSize, int elites, int maxGens, double mutationRate, int numberOfIslands, int migrationInterval, double migrationRate) 981 where S : ISelector 982 where C : ICrossover 983 where M : IManipulator 984 where Mi : IMigrator 985 where MiS : ISelector 986 where MiR : IReplacer { 987 ga.Elites.Value = elites; 988 ga.MaximumGenerations.Value = maxGens; 989 ga.MutationProbability.Value = mutationRate; 990 ga.PopulationSize.Value = popSize; 991 ga.NumberOfIslands.Value = numberOfIslands; 992 ga.MigrationInterval.Value = migrationInterval; 993 ga.MigrationRate.Value = migrationRate; 994 ga.Seed.Value = 0; 995 ga.SetSeedRandomly.Value = true; 996 ga.Selector = ga.SelectorParameter.ValidValues 997 .OfType<S>() 998 .Single(); 999 1000 ga.Crossover = ga.CrossoverParameter.ValidValues 1001 .OfType<C>() 1002 .Single(); 1003 1004 ga.Mutator = ga.MutatorParameter.ValidValues 1005 .OfType<M>() 1006 .Single(); 1007 ga.Migrator = ga.MigratorParameter.ValidValues 1008 .OfType<Mi>() 1009 .Single(); 1010 ga.EmigrantsSelector = ga.EmigrantsSelectorParameter.ValidValues 1011 .OfType<MiS>() 1012 .Single(); 1013 ga.ImmigrationReplacer = ga.ImmigrationReplacerParameter.ValidValues 1014 .OfType<MiR>() 1015 .Single(); 483 1016 ga.Engine = new ParallelEngine(); 484 1017 } … … 489 1022 Exception ex = null; 490 1023 a.Stopped += (src, e) => { trigger.Set(); }; 491 a.ExceptionOccurred += (src, e) => { ex = e.Value; };1024 a.ExceptionOccurred += (src, e) => { ex = e.Value; trigger.Set(); }; 492 1025 a.Prepare(); 493 1026 a.Start(); … … 497 1030 } 498 1031 499 private double GetDoubleResult(GeneticAlgorithm ga, string resultName) { 500 return ((DoubleValue)ga.Results[resultName].Value).Value; 501 } 502 private int GetIntResult(GeneticAlgorithm ga, string resultName) { 503 return ((IntValue)ga.Results[resultName].Value).Value; 504 } 1032 private double GetDoubleResult(IAlgorithm a, string resultName) { 1033 return ((DoubleValue)a.Results[resultName].Value).Value; 1034 } 1035 private int GetIntResult(IAlgorithm a, string resultName) { 1036 return ((IntValue)a.Results[resultName].Value).Value; 1037 } 1038 #endregion 505 1039 } 506 1040 }
Note: See TracChangeset
for help on using the changeset viewer.