Changeset 6017 for branches/HeuristicLab.MetaOptimization
- Timestamp:
- 04/17/11 11:03:48 (14 years ago)
- Location:
- branches/HeuristicLab.MetaOptimization
- Files:
-
- 17 added
- 13 deleted
- 9 edited
Legend:
- Unmodified
- Added
- Removed
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branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test/HeuristicLab.MetaOptimization.Test.csproj
r5927 r6017 379 379 </ItemGroup> 380 380 <ItemGroup> 381 <Compile Include="PluginLoader.cs" />382 381 <Compile Include="Program.cs" /> 383 382 <Compile Include="Properties\AssemblyInfo.cs" /> -
branches/HeuristicLab.MetaOptimization/HeuristicLab.MetaOptimization.Test/Program.cs
r5927 r6017 15 15 using HeuristicLab.Data; 16 16 using HeuristicLab.Encodings.RealVectorEncoding; 17 using HeuristicLab.Hive.ExperimentManager;17 //using HeuristicLab.Hive.ExperimentManager; 18 18 using HeuristicLab.Optimization; 19 19 using HeuristicLab.Parameters; … … 30 30 class Program { 31 31 static void Main(string[] args) { 32 //PluginLoader.pluginAssemblies.Any();33 32 PluginManager pm = new PluginManager(Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location)); 34 33 pm.DiscoverAndCheckPlugins(); 35 36 34 pm.Run(pm.Applications.Where(x => x.Name == "TestApp").SingleOrDefault()); 37 35 } … … 49 47 //private static int baseAlgorithmMaxGenerations = 1000; 50 48 51 private static int metaAlgorithmPopulationSize = 10;52 private static int metaAlgorithmMaxGenerations = 15;49 private static int metaAlgorithmPopulationSize = 20; 50 private static int metaAlgorithmMaxGenerations = 20; 53 51 private static int metaProblemRepetitions = 3; 54 private static int baseAlgorithmMaxGenerations = 10 ;52 private static int baseAlgorithmMaxGenerations = 100; 55 53 private static double mutationProbability = 0.10; 56 54 … … 82 80 MetaOptimizationProblem metaOptimizationProblem = new MetaOptimizationProblem(); 83 81 metaOptimizationProblem.Repetitions = new IntValue(metaProblemRepetitions); 84 GeneticAlgorithm metaLevelAlgorithm = GetMetaGA(metaOptimizationProblem);85 //GeneticAlgorithm metaLevelAlgorithm = GetParallelMetaGA(metaOptimizationProblem);82 //GeneticAlgorithm metaLevelAlgorithm = GetMetaGA(metaOptimizationProblem); 83 GeneticAlgorithm metaLevelAlgorithm = GetParallelMetaGA(metaOptimizationProblem); 86 84 //GeneticAlgorithm metaLevelAlgorithm = GetHiveParallelMetaGA(metaOptimizationProblem); 87 85 … … 95 93 //Console.WriteLine("Press enter to start"); 96 94 //Console.ReadLine(); 97 TestConfiguration(algorithmVc, typeof(GeneticAlgorithm), metaOptimizationProblem.Problems.First());98 99 Console.WriteLine("Press enter to start");100 Console.ReadLine();95 //TestConfiguration(algorithmVc, typeof(GeneticAlgorithm), metaOptimizationProblem.Problems.First()); 96 97 //Console.WriteLine("Press enter to start"); 98 //Console.ReadLine(); 101 99 TestOptimization(metaLevelAlgorithm); 102 100 … … 111 109 var grammar1 = new TypeCoherentExpressionGrammar(); 112 110 var grammar2 = new TypeCoherentExpressionGrammar(); 113 114 grammar2.Symbols.Single(x => x.Name == "Addition").InitialFrequency = 0.5; 115 111 116 112 Console.WriteLine("========== Grammar1: =========="); 117 113 PrintGrammar(grammar1); 118 Console.WriteLine("========== Grammar2: =========="); 119 PrintGrammar(grammar2); 120 121 122 RealVector v1 = GetInitialFrequenciesAsRealVector(grammar1); 123 RealVector v2 = GetInitialFrequenciesAsRealVector(grammar2); 124 125 for (int i = 0; i < 10; i++) { 126 RealVector v3 = DiscreteCrossover.Apply(random, new ItemArray<RealVector>(new List<RealVector> { v1, v2 })); 127 128 var grammar3 = new TypeCoherentExpressionGrammar(); 129 SetInitialFrequenciesFromRealVector(grammar3, v3); 130 131 Console.WriteLine("\n========== Crossed: =========="); 132 PrintGrammar(grammar3); 133 } 114 //Console.WriteLine("========== Grammar2: =========="); 115 //PrintGrammar(grammar2); 116 117 var vc1 = new SymbolicExpressionGrammarValueConfiguration(grammar1); 118 ConfigureSymbolicExpressionGrammarVc(vc1); 119 var vc2 = new SymbolicExpressionGrammarValueConfiguration(grammar2); 120 ConfigureSymbolicExpressionGrammarVc(vc2); 121 122 vc1.Mutate(random, new MutateDelegate(ParameterConfigurationManipulator.Mutate), new UniformIntValueManipulator(), new UniformDoubleValueManipulator()); 123 vc1.Parameterize(grammar1); 124 125 Console.WriteLine("========== Grammar1 (mutated): =========="); 126 PrintGrammar(grammar1); 127 128 vc1.Cross(random, vc2, new CrossDelegate(ParameterConfigurationCrossover.Cross), new DiscreteIntValueCrossover(), new AverageDoubleValueCrossover()); 129 vc1.Parameterize(grammar1); 130 131 Console.WriteLine("========== Grammar1 (crossed): =========="); 132 PrintGrammar(grammar1); 133 134 //RealVector v1 = GetInitialFrequenciesAsRealVector(grammar1); 135 //RealVector v2 = GetInitialFrequenciesAsRealVector(grammar2); 136 137 //for (int i = 0; i < 10; i++) { 138 // RealVector v3 = DiscreteCrossover.Apply(random, new ItemArray<RealVector>(new List<RealVector> { v1, v2 })); 139 140 // var grammar3 = new TypeCoherentExpressionGrammar(); 141 // SetInitialFrequenciesFromRealVector(grammar3, v3); 142 143 // Console.WriteLine("\n========== Crossed: =========="); 144 // PrintGrammar(grammar3); 145 //} 134 146 135 147 } … … 421 433 422 434 GeneticAlgorithm ga = new GeneticAlgorithm(); 423 ga.PopulationSize.Value = 3;424 ga.MaximumGenerations.Value = 1;435 ga.PopulationSize.Value = 5; 436 ga.MaximumGenerations.Value = 5; 425 437 ga.Engine = new SequentialEngine.SequentialEngine(); 426 438 ga.Problem = new SingleObjectiveTestFunctionProblem(); 427 439 428 MetaOptimizationProblem metaOptimizationProblem = new MetaOptimizationProblem();429 // metaOptimizationProblem.Repetitions = new IntValue(metaProblemRepetitions);430 GeneticAlgorithm metaLevelAlgorithm = GetMetaGA(metaOptimizationProblem);431 ParameterConfigurationTree algorithmVc = SetupGAAlgorithm(typeof(GeneticAlgorithm), metaOptimizationProblem);432 algorithmVc.Randomize(random);440 //MetaOptimizationProblem metaOptimizationProblem = new MetaOptimizationProblem(); 441 ////metaOptimizationProblem.Repetitions = new IntValue(metaProblemRepetitions); 442 //GeneticAlgorithm metaLevelAlgorithm = GetMetaGA(metaOptimizationProblem); 443 //ParameterConfigurationTree algorithmVc = SetupGAAlgorithm(typeof(GeneticAlgorithm), metaOptimizationProblem); 444 //algorithmVc.Randomize(random); 433 445 Stopwatch sw = new Stopwatch(); 434 446 … … 449 461 algs.Enqueue(clonedGa); 450 462 451 if (algs.Count > 24)452 algs.Dequeue();463 //if (algs.Count > 24) 464 // algs.Dequeue(); 453 465 clonedGa.StartSync(); 454 466 sw.Stop(); … … 610 622 611 623 private static void TestTypeDiscovery() { 612 PluginLoader.pluginAssemblies.Any();613 614 624 var items = ApplicationManager.Manager.GetInstances(typeof(DoubleArray)).ToArray(); 615 625 … … 667 677 } 668 678 669 private static GeneticAlgorithm GetHiveParallelMetaGA(MetaOptimizationProblem metaOptimizationProblem) {670 GeneticAlgorithm metaLevelAlgorithm = GetParallelMetaGA(metaOptimizationProblem);671 metaLevelAlgorithm.Engine = new HiveEngine.HiveEngine();672 ServiceLocator.Instance.ClientFacadePool.UserName = "cneumuel";673 ServiceLocator.Instance.ClientFacadePool.Password = "cneumuel";674 ServiceLocator.Instance.StreamedClientFacadePool.UserName = "cneumuel";675 ServiceLocator.Instance.StreamedClientFacadePool.Password = "cneumuel";676 return metaLevelAlgorithm;677 }679 //private static GeneticAlgorithm GetHiveParallelMetaGA(MetaOptimizationProblem metaOptimizationProblem) { 680 // GeneticAlgorithm metaLevelAlgorithm = GetParallelMetaGA(metaOptimizationProblem); 681 // metaLevelAlgorithm.Engine = new HiveEngine.HiveEngine(); 682 // ServiceLocator.Instance.ClientFacadePool.UserName = "cneumuel"; 683 // ServiceLocator.Instance.ClientFacadePool.Password = "cneumuel"; 684 // ServiceLocator.Instance.StreamedClientFacadePool.UserName = "cneumuel"; 685 // ServiceLocator.Instance.StreamedClientFacadePool.Password = "cneumuel"; 686 // return metaLevelAlgorithm; 687 //} 678 688 679 689 private static EvolutionStrategy GetMetaES(MetaOptimizationProblem metaOptimizationProblem) { … … 714 724 715 725 //ConfigurePopulationSize(algorithmVc, 15, 20, 1); 716 ConfigureMutationRate(algorithmVc, 0.0, 1.0, 0.01);717 ConfigureMutationOperator(algorithmVc);726 //ConfigureMutationRate(algorithmVc, 0.0, 1.0, 0.01); 727 //ConfigureMutationOperator(algorithmVc); 718 728 //ConfigureElites(algorithmVc, 0, 8, 1); 719 729 //ConfigureSelectionOperator(algorithmVc, true); … … 736 746 } 737 747 } 748 749 ConfigureSymbolicExpressionGrammarVc(symbolicExpressionGrammarVc); 750 } 751 752 private static void ConfigureSymbolicExpressionGrammarVc(SymbolicExpressionGrammarValueConfiguration symbolicExpressionGrammarVc) { 738 753 symbolicExpressionGrammarVc.Optimize = true; 739 740 var additionPc = symbolicExpressionGrammarVc.ParameterConfigurations.Single(x => x.Name == "Addition"); 741 additionPc.Optimize = true; 742 var initialFrequencyVc = ((ParameterizedValueConfiguration)additionPc.ValueConfigurations.First()).ParameterConfigurations.Single(x => x.Name == "InitialFrequency"); 743 initialFrequencyVc.Optimize = true; 754 foreach (var pc in symbolicExpressionGrammarVc.ParameterConfigurations) { 755 if (pc.Name != "Constant" 756 && pc.Name != "Variable" 757 && pc.Name != "ProgramRootSymbol" 758 && pc.Name != "StartSymbol") { 759 pc.Optimize = true; 760 var initialFrequencyVc = ((ParameterizedValueConfiguration)pc.ValueConfigurations.First()).ParameterConfigurations.Single(x => x.Name == "InitialFrequency"); 761 initialFrequencyVc.Optimize = true; 762 } 763 } 764 //var additionPc = symbolicExpressionGrammarVc.ParameterConfigurations.Single(x => x.Name == "Addition"); 765 //additionPc.Optimize = true; 744 766 } 745 767 … … 896 918 string resultPath = Path.Combine(path, string.Format("{0} - Result.hl", id)); 897 919 string outputPath = Path.Combine(path, string.Format("{0} - Console.txt", id)); 920 921 ContentManager.Save((IStorableContent)metaLevelAlgorithm, resultPath+"-before.hl", true); 898 922 899 923 using (var sw = new StreamWriter(outputPath)) { … … 946 970 var orderedRuns = rc.OrderBy(x => x.Results["AverageQualityNormalized"]); 947 971 948 TableBuilder tb = new TableBuilder("QNorm", "Qualities"/*, "PoSi"*/ ,"MutRa" /*,"Eli", "SelOp"*/, "MutOp"/*, "NrSelSubScopes"*/);972 TableBuilder tb = new TableBuilder("QNorm", "Qualities"/*, "PoSi"*/ /*,"MutRa"*/ /*,"Eli", "SelOp",*/ /*"MutOp"*//*, "NrSelSubScopes"*/); 949 973 foreach (IRun run in orderedRuns) { 950 974 //string selector; … … 959 983 ,((DoubleArray)run.Results["RunsAverageQualities"]).ToString() 960 984 //,((IntValue)run.Parameters["PopulationSize"]).Value.ToString() 961 ,((DoubleValue)run.Parameters["MutationProbability"]).Value.ToString("0.0000")985 //,((DoubleValue)run.Parameters["MutationProbability"]).Value.ToString("0.0000") 962 986 //,((IntValue)run.Parameters["Elites"]).Value.ToString() 963 987 //,Shorten(selector, 20) 964 ,Shorten(run.Parameters.ContainsKey("Mutator") ? run.Parameters["Mutator"].ToString() : "null", 40)988 //,Shorten(run.Parameters.ContainsKey("Mutator") ? run.Parameters["Mutator"].ToString() : "null", 40) 965 989 //,((ISelector)run.Parameters["Selector"]).NumberOfSelectedSubScopesParameter.Value.ToString() 966 990 ); 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branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization.Views/3.3/MetaOptimizationProblemView.cs
r5654 r6017 2 2 using System.Linq; 3 3 using System.Windows.Forms; 4 using HeuristicLab.Common; 4 5 using HeuristicLab.Core; 5 6 using HeuristicLab.MainForm; … … 89 90 private void parameterCollectionView_DragEnterOver(object sender, System.Windows.Forms.DragEventArgs e) { 90 91 e.Effect = DragDropEffects.None; 91 Type type = e.Data.GetData("Type") as Type;92 if ( (type != null)&& (Content.AlgorithmType.ValidTypes.Contains(type))) {93 IAlgorithm algorithm = e.Data.GetData( "Value") as IAlgorithm;92 var type = e.Data.GetData(Constants.DragDropDataFormat).GetType(); 93 if (!ReadOnly && (Content.AlgorithmType.ValidTypes.Contains(type))) { 94 IAlgorithm algorithm = e.Data.GetData(Constants.DragDropDataFormat) as IAlgorithm; 94 95 if (algorithm != null && algorithm.Problem == null || Content.ProblemType.ValidTypes.Contains(algorithm.Problem.GetType())) { 95 96 e.Effect = DragDropEffects.Copy; … … 99 100 private void parameterCollectionView_DragDrop(object sender, System.Windows.Forms.DragEventArgs e) { 100 101 if (e.Effect != DragDropEffects.None) { 101 IAlgorithm algorithm = e.Data.GetData( "Value") as IAlgorithm;102 IAlgorithm algorithm = e.Data.GetData(Constants.DragDropDataFormat) as IAlgorithm; 102 103 Content.ImportAlgorithm(algorithm); 103 104 } -
branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Encoding/Crossovers/ParameterConfigurationCrossover.cs
r5653 r6017 1 using HeuristicLab.Common; 1 using System; 2 using HeuristicLab.Common; 2 3 using HeuristicLab.Core; 3 4 using HeuristicLab.Data; 4 5 using HeuristicLab.Encodings.IntegerVectorEncoding; 5 using HeuristicLab.Encodings.RealVectorEncoding;6 6 using HeuristicLab.Operators; 7 using HeuristicLab.Optimization;8 7 using HeuristicLab.Parameters; 9 8 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; 10 using System;11 9 12 10 namespace HeuristicLab.Problems.MetaOptimization { … … 96 94 } 97 95 98 p rivate static void Cross(IRandom random, IOptimizable configuartion, IOptimizable other, IIntValueCrossover intValueCrossover, IDoubleValueCrossover doubleValueCrossover) {99 var vc = configu artion as RangeValueConfiguration;100 var pc = configu artion as IParameterConfiguration;96 public static void Cross(IRandom random, IOptimizable configuration, IOptimizable other, IIntValueCrossover intValueCrossover, IDoubleValueCrossover doubleValueCrossover) { 97 var vc = configuration as RangeValueConfiguration; 98 var pc = configuration as IParameterConfiguration; 101 99 if (vc != null) { 102 100 var value = vc.ActualValue.Value; -
branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Encoding/Manipulators/ParameterConfigurationManipulator.cs
r5653 r6017 51 51 } 52 52 53 p rotectedstatic void Mutate(IRandom random, IOptimizable configuration, IIntValueManipulator intValueManipulator, IDoubleValueManipulator doubleValueManipulator) {53 public static void Mutate(IRandom random, IOptimizable configuration, IIntValueManipulator intValueManipulator, IDoubleValueManipulator doubleValueManipulator) { 54 54 var vc = configuration as RangeValueConfiguration; 55 55 var pc = configuration as IParameterConfiguration; -
branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Encoding/ParameterConfigurations/ParameterConfiguration.cs
r5927 r6017 138 138 protected IItemSet<IItem> validValues; 139 139 140 [Storable] 141 private bool autoPopulateValueConfigurations = true; 142 public bool AutoPopulateValueConfigurations { 143 get { return autoPopulateValueConfigurations; } 144 set { autoPopulateValueConfigurations = value; } 145 } 146 147 140 148 #region Constructors and Cloning 141 149 public ParameterConfiguration(string parameterName, IValueParameter valueParameter, bool discoverValidValues) { 150 this.AutoPopulateValueConfigurations = true; 142 151 this.ParameterName = parameterName; 143 152 this.parameterDataType = valueParameter.GetType(); … … 162 171 } 163 172 public ParameterConfiguration(string parameterName, Type type, IItem actualValue, IEnumerable<IValueConfiguration> valueConfigurations) { 173 this.AutoPopulateValueConfigurations = false; 164 174 this.ParameterName = parameterName; 165 175 this.parameterDataType = type; … … 174 184 } 175 185 public ParameterConfiguration(string parameterName, Type type, IItem actualValue) { 186 this.AutoPopulateValueConfigurations = true; 176 187 this.ParameterName = parameterName; 177 188 this.parameterDataType = type; … … 206 217 this.discoverValidValues = original.discoverValidValues; 207 218 if (this.valueConfigurations != null) RegisterValueConfigurationEvents(); 219 this.AutoPopulateValueConfigurations = original.AutoPopulateValueConfigurations; 208 220 } 209 221 … … 238 250 239 251 protected virtual void PopulateValueConfigurations() { 252 if (!this.AutoPopulateValueConfigurations) 253 return; 254 240 255 foreach (Type t in this.validTypes) { 241 256 if (t == typeof(NullValue)) { … … 266 281 267 282 protected virtual void ClearValueConfigurations() { 283 if (!this.AutoPopulateValueConfigurations) 284 return; 285 268 286 this.ValueConfigurations.Clear(); 269 287 } -
branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/Evaluators/AlgorithmEvaluator.cs
r5655 r6017 1 1 using System; 2 2 using System.Diagnostics; 3 using System.Linq; 3 4 using HeuristicLab.Common; 4 5 using HeuristicLab.Core; 5 6 using HeuristicLab.Data; 7 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; 6 8 using HeuristicLab.Operators; 7 9 using HeuristicLab.Optimization; 8 10 using HeuristicLab.Parameters; 9 11 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; 12 using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression; 10 13 11 14 namespace HeuristicLab.Problems.MetaOptimization { … … 54 57 IAlgorithm algorithm = AlgorithmParameter.ActualValue; 55 58 59 #region Debug Code for SymbolicRegressionGrammar 60 var srp = (SymbolicRegressionSingleObjectiveProblem)algorithm.Problem; 61 //Console.WriteLine("Evaluating Grammar: " + PrintGrammar(srp.SymbolicExpressionTreeGrammar)); 62 #endregion 63 56 64 var sw = new Stopwatch(); 57 65 sw.Start(); 58 66 algorithm.StartSync(); 59 67 sw.Stop(); 60 Console.WriteLine("{0},{1}: {2} ", ProblemIndexParameter.ActualValue.Value, RepetitionIndexParameter.ActualValue.Value, sw.Elapsed);68 Console.WriteLine("{0},{1}: {2} (Grammar: {3})", ProblemIndexParameter.ActualValue.Value, RepetitionIndexParameter.ActualValue.Value, sw.Elapsed, PrintGrammar(srp.SymbolicExpressionTreeGrammar)); 61 69 62 70 RunsParameter.Value = new ItemList<IRun>(algorithm.Runs); … … 72 80 parameterConfiguration.Randomize(random); 73 81 } 82 83 // for debug purposes, remove later 84 private static string PrintGrammar(ISymbolicExpressionGrammar grammar) { 85 return string.Join(string.Empty, grammar.Symbols.Select(x => x.InitialFrequency).ToArray()); 86 //foreach (var symbol in grammar.Symbols) { 87 // Console.WriteLine("{0} ({1})", symbol.ToString(), symbol.InitialFrequency); 88 //} 89 } 74 90 } 75 91 } -
branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/HeuristicLab.Problems.MetaOptimization-3.3.csproj
r5927 r6017 126 126 <HintPath>..\..\..\..\..\..\..\Program Files\HeuristicLab 3.3\HeuristicLab.Problems.DataAnalysis.Symbolic-3.4.dll</HintPath> 127 127 </Reference> 128 <Reference Include="HeuristicLab.Problems.DataAnalysis.Symbolic.Regression-3.4"> 129 <HintPath>..\..\..\..\..\..\..\Program Files\HeuristicLab 3.3\HeuristicLab.Problems.DataAnalysis.Symbolic.Regression-3.4.dll</HintPath> 130 </Reference> 128 131 <Reference Include="HeuristicLab.Problems.TestFunctions-3.3"> 129 132 <HintPath>C:\Program Files\HeuristicLab 3.3\HeuristicLab.Problems.TestFunctions-3.3.dll</HintPath> … … 154 157 <Compile Include="Encoding\AlgorithmProblemItem.cs" /> 155 158 <Compile Include="Encoding\ParameterConfigurations\SingleValuedParameterConfiguration.cs" /> 156 <Compile Include="Encoding\Symbolic Regression\SymbolValueConfiguration.cs" />157 <Compile Include="Encoding\Symbolic Regression\SymbolicExpressionGrammarValueConfiguration.cs" />159 <Compile Include="Encoding\SymbolicExpressionGrammar\SymbolValueConfiguration.cs" /> 160 <Compile Include="Encoding\SymbolicExpressionGrammar\SymbolicExpressionGrammarValueConfiguration.cs" /> 158 161 <Compile Include="Encoding\ValueConfigurations\RangeValueConfiguration.cs" /> 159 162 <Compile Include="Encoding\ValueConfigurations\ParameterizedValueConfiguration.cs" /> … … 163 166 <Compile Include="Evaluators\PMOEvaluator.cs" /> 164 167 <Compile Include="MetaOptimizationUtil.cs" /> 165 <Compile Include="Operators\Crossovers\ MultiIntValueCrossover.cs" />168 <Compile Include="Operators\Crossovers\IntValue\MultiIntValueCrossover.cs" /> 166 169 <Compile Include="TypeValue.cs" /> 167 170 <None Include="Properties\AssemblyInfo.cs.frame" /> … … 189 192 <Compile Include="Interfaces\IParameterConfigurationCrossover.cs" /> 190 193 <Compile Include="Interfaces\ICheckedValueConfigurationCollection.cs" /> 191 <Compile Include="Operators\Crossovers\ AverageDoubleValueCrossover.cs" />192 <Compile Include="Operators\Crossovers\ AverageIntValueCrossover.cs" />193 <Compile Include="Operators\Crossovers\ NormalIntValueCrossover.cs" />194 <Compile Include="Operators\Crossovers\ NormalDoubleValueCrossover.cs" />195 <Compile Include="Operators\Crossovers\D iscreteDoubleValueCrossover.cs" />196 <Compile Include="Operators\Crossovers\ DiscreteIntValueCrossover.cs" />194 <Compile Include="Operators\Crossovers\DoubleValue\AverageDoubleValueCrossover.cs" /> 195 <Compile Include="Operators\Crossovers\IntValue\AverageIntValueCrossover.cs" /> 196 <Compile Include="Operators\Crossovers\IntValue\NormalIntValueCrossover.cs" /> 197 <Compile Include="Operators\Crossovers\DoubleValue\NormalDoubleValueCrossover.cs" /> 198 <Compile Include="Operators\Crossovers\DoubleValue\DiscreteDoubleValueCrossover.cs" /> 199 <Compile Include="Operators\Crossovers\IntValue\DiscreteIntValueCrossover.cs" /> 197 200 <Compile Include="Operators\Interfaces\IDoubleValueCrossover.cs" /> 198 201 <Compile Include="Operators\Interfaces\IDoubleValueManipulator.cs" /> … … 213 216 <Compile Include="Operators\Interfaces\IIntValueCrossover.cs" /> 214 217 <Compile Include="Operators\Interfaces\IValueManipulator.cs" /> 215 <Compile Include="Operators\Manipulators\ NormalIntValueManipulator.cs" />216 <Compile Include="Operators\Manipulators\ UniformIntValueManipulator.cs" />217 <Compile Include="Operators\Manipulators\ UniformDoubleValueManipulator.cs" />218 <Compile Include="Operators\Manipulators\ NormalDoubleValueManipulator.cs" />218 <Compile Include="Operators\Manipulators\IntValue\NormalIntValueManipulator.cs" /> 219 <Compile Include="Operators\Manipulators\IntValue\UniformIntValueManipulator.cs" /> 220 <Compile Include="Operators\Manipulators\DoubleValue\UniformDoubleValueManipulator.cs" /> 221 <Compile Include="Operators\Manipulators\DoubleValue\NormalDoubleValueManipulator.cs" /> 219 222 <Compile Include="Properties\AssemblyInfo.cs" /> 220 223 <Compile Include="MetaOptimizationProblem.cs" /> … … 225 228 <None Include="UpdateLocalInstallation.cmd" /> 226 229 </ItemGroup> 227 <ItemGroup /> 230 <ItemGroup> 231 <Folder Include="Operators\Crossovers\SymbolicExpressionGrammar\" /> 232 </ItemGroup> 228 233 <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" /> 229 234 <PropertyGroup> -
branches/HeuristicLab.MetaOptimization/HeuristicLab.Problems.MetaOptimization/3.3/MetaOptimizationProblem.cs
r5927 r6017 309 309 } 310 310 ParameterConfigurationTreeParameter.ActualValue = new ParameterConfigurationTree(algorithm, Problems.First()); 311 312 311 } 313 312 }
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