#region License Information /* HeuristicLab * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Linq; using HeuristicLab.Analysis; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.RealVectorEncoding; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Optimization.Operators; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.PluginInfrastructure; using HeuristicLab.Random; namespace HeuristicLab.Algorithms.CMAEvolutionStrategy { [Item("CMA Evolution Strategy", "An evolution strategy based on covariance matrix adaptation.")] [Creatable("Algorithms")] [StorableClass] public sealed class CMAEvolutionStrategy : HeuristicOptimizationEngineAlgorithm, IStorableContent { public string Filename { get; set; } #region Strings private const string SeedName = "Seed"; private const string SetSeedRandomlyName = "SetSeedRandomly"; private const string PopulationSizeName = "PopulationSize"; private const string InitialIterationsName = "InitialIterations"; private const string InitialSigmaName = "InitialSigma"; private const string MuName = "Mu"; private const string CMAInitializerName = "CMAInitializer"; private const string CMAMutatorName = "CMAMutator"; private const string CMARecombinatorName = "CMARecombinator"; private const string CMAUpdaterName = "CMAUpdater"; private const string AnalyzerName = "Analyzer"; private const string MaximumGenerationsName = "MaximumGenerations"; private const string MaximumEvaluatedSolutionsName = "MaximumEvaluatedSolutions"; private const string TargetQualityName = "TargetQuality"; private const string MinimumQualityChangeName = "MinimumQualityChange"; private const string MinimumQualityHistoryChangeName = "MinimumQualityHistoryChange"; private const string MinimumStandardDeviationName = "MinimumStandardDeviation"; private const string MaximumStandardDeviationChangeName = "MaximumStandardDeviationChange"; #endregion #region Problem Properties public override Type ProblemType { get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); } } public new ISingleObjectiveHeuristicOptimizationProblem Problem { get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; } set { base.Problem = value; } } #endregion #region Parameter Properties public IValueParameter AnalyzerParameter { get { return (IValueParameter)Parameters[AnalyzerName]; } } private IFixedValueParameter SeedParameter { get { return (IFixedValueParameter)Parameters[SeedName]; } } private IFixedValueParameter SetSeedRandomlyParameter { get { return (IFixedValueParameter)Parameters[SetSeedRandomlyName]; } } private IFixedValueParameter PopulationSizeParameter { get { return (IFixedValueParameter)Parameters[PopulationSizeName]; } } private IFixedValueParameter InitialIterationsParameter { get { return (IFixedValueParameter)Parameters[InitialIterationsName]; } } public IValueParameter InitialSigmaParameter { get { return (IValueParameter)Parameters[InitialSigmaName]; } } private OptionalValueParameter MuParameter { get { return (OptionalValueParameter)Parameters[MuName]; } } public IConstrainedValueParameter CMAInitializerParameter { get { return (IConstrainedValueParameter)Parameters[CMAInitializerName]; } } public IConstrainedValueParameter CMAMutatorParameter { get { return (IConstrainedValueParameter)Parameters[CMAMutatorName]; } } public IConstrainedValueParameter CMARecombinatorParameter { get { return (IConstrainedValueParameter)Parameters[CMARecombinatorName]; } } public IConstrainedValueParameter CMAUpdaterParameter { get { return (IConstrainedValueParameter)Parameters[CMAUpdaterName]; } } private IFixedValueParameter MaximumGenerationsParameter { get { return (IFixedValueParameter)Parameters[MaximumGenerationsName]; } } private IFixedValueParameter MaximumEvaluatedSolutionsParameter { get { return (IFixedValueParameter)Parameters[MaximumEvaluatedSolutionsName]; } } private IFixedValueParameter TargetQualityParameter { get { return (IFixedValueParameter)Parameters[TargetQualityName]; } } private IFixedValueParameter MinimumQualityChangeParameter { get { return (IFixedValueParameter)Parameters[MinimumQualityChangeName]; } } private IFixedValueParameter MinimumQualityHistoryChangeParameter { get { return (IFixedValueParameter)Parameters[MinimumQualityHistoryChangeName]; } } private IFixedValueParameter MinimumStandardDeviationParameter { get { return (IFixedValueParameter)Parameters[MinimumStandardDeviationName]; } } private IFixedValueParameter MaximumStandardDeviationChangeParameter { get { return (IFixedValueParameter)Parameters[MaximumStandardDeviationChangeName]; } } #endregion #region Properties public int Seed { get { return SeedParameter.Value.Value; } set { SeedParameter.Value.Value = value; } } public bool SetSeedRandomly { get { return SetSeedRandomlyParameter.Value.Value; } set { SetSeedRandomlyParameter.Value.Value = value; } } public int PopulationSize { get { return PopulationSizeParameter.Value.Value; } set { PopulationSizeParameter.Value.Value = value; } } public int InitialIterations { get { return InitialIterationsParameter.Value.Value; } set { InitialIterationsParameter.Value.Value = value; } } public int MaximumGenerations { get { return MaximumGenerationsParameter.Value.Value; } set { MaximumGenerationsParameter.Value.Value = value; } } public int MaximumEvaluatedSolutions { get { return MaximumEvaluatedSolutionsParameter.Value.Value; } set { MaximumEvaluatedSolutionsParameter.Value.Value = value; } } public double TargetQuality { get { return TargetQualityParameter.Value.Value; } set { TargetQualityParameter.Value.Value = value; } } public double MinimumQualityChange { get { return MinimumQualityChangeParameter.Value.Value; } set { MinimumQualityChangeParameter.Value.Value = value; } } public double MinimumQualityHistoryChange { get { return MinimumQualityHistoryChangeParameter.Value.Value; } set { MinimumQualityHistoryChangeParameter.Value.Value = value; } } public double MinimumStandardDeviation { get { return MinimumStandardDeviationParameter.Value.Value; } set { MinimumStandardDeviationParameter.Value.Value = value; } } public double MaximumStandardDeviationChange { get { return MaximumStandardDeviationChangeParameter.Value.Value; } set { MaximumStandardDeviationChangeParameter.Value.Value = value; } } public DoubleArray InitialSigma { get { return InitialSigmaParameter.Value; } set { InitialSigmaParameter.Value = value; } } public IntValue Mu { get { return MuParameter.Value; } set { MuParameter.Value = value; } } public ICMAInitializer CMAInitializer { get { return CMAInitializerParameter.Value; } set { CMAInitializerParameter.Value = value; } } public ICMAManipulator CMAMutator { get { return CMAMutatorParameter.Value; } set { CMAMutatorParameter.Value = value; } } public ICMARecombinator CMARecombinator { get { return CMARecombinatorParameter.Value; } set { CMARecombinatorParameter.Value = value; } } public MultiAnalyzer Analyzer { get { return AnalyzerParameter.Value; } set { AnalyzerParameter.Value = value; } } public ICMAUpdater CMAUpdater { get { return CMAUpdaterParameter.Value; } set { CMAUpdaterParameter.Value = value; } } private RandomCreator RandomCreator { get { return (RandomCreator)OperatorGraph.InitialOperator; } } [Storable] private BestAverageWorstQualityAnalyzer qualityAnalyzer; [Storable] private CMAAnalyzer cmaAnalyzer; [Storable] private Placeholder solutionCreator; [Storable] private Placeholder evaluator; [Storable] private SubScopesSorter sorter; [Storable] private Terminator terminator; #endregion [StorableConstructor] private CMAEvolutionStrategy(bool deserializing) : base(deserializing) { } private CMAEvolutionStrategy(CMAEvolutionStrategy original, Cloner cloner) : base(original, cloner) { qualityAnalyzer = cloner.Clone(original.qualityAnalyzer); cmaAnalyzer = cloner.Clone(original.cmaAnalyzer); solutionCreator = cloner.Clone(original.solutionCreator); evaluator = cloner.Clone(original.evaluator); sorter = cloner.Clone(original.sorter); terminator = cloner.Clone(original.terminator); RegisterEventHandlers(); } public CMAEvolutionStrategy() : base() { Parameters.Add(new FixedValueParameter(SeedName, "The random seed used to initialize the new pseudo random number generator.", new IntValue(0))); Parameters.Add(new FixedValueParameter(SetSeedRandomlyName, "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true))); Parameters.Add(new FixedValueParameter(PopulationSizeName, "λ (lambda) - the size of the offspring population.", new IntValue(20))); Parameters.Add(new FixedValueParameter(InitialIterationsName, "The number of iterations that should be performed with only axis parallel mutation.", new IntValue(0))); Parameters.Add(new FixedValueParameter(InitialSigmaName, "The initial sigma can be a single value or a value for each dimension. All values need to be > 0.", new DoubleArray(new[] { 0.5 }))); Parameters.Add(new OptionalValueParameter(MuName, "Optional, the mu best offspring that should be considered for update of the new mean and strategy parameters. If not given it will be automatically calculated.")); Parameters.Add(new ConstrainedValueParameter(CMARecombinatorName, "The operator used to calculate the new mean.")); Parameters.Add(new ConstrainedValueParameter(CMAMutatorName, "The operator used to manipulate a point.")); Parameters.Add(new ConstrainedValueParameter(CMAInitializerName, "The operator that initializes the covariance matrix and strategy parameters.")); Parameters.Add(new ConstrainedValueParameter(CMAUpdaterName, "The operator that updates the covariance matrix and strategy parameters.")); Parameters.Add(new ValueParameter(AnalyzerName, "The operator used to analyze each generation.", new MultiAnalyzer())); Parameters.Add(new FixedValueParameter(MaximumGenerationsName, "The maximum number of generations which should be processed.", new IntValue(1000))); Parameters.Add(new FixedValueParameter(MaximumEvaluatedSolutionsName, "The maximum number of evaluated solutions that should be computed.", new IntValue(int.MaxValue))); Parameters.Add(new FixedValueParameter(TargetQualityName, "(stopFitness) Surpassing this quality value terminates the algorithm.", new DoubleValue(double.NaN))); Parameters.Add(new FixedValueParameter(MinimumQualityChangeName, "(stopTolFun) If the range of fitness values is less than a certain value the algorithm terminates (set to 0 or positive value to enable).", new DoubleValue(double.NaN))); Parameters.Add(new FixedValueParameter(MinimumQualityHistoryChangeName, "(stopTolFunHist) If the range of fitness values is less than a certain value for a certain time the algorithm terminates (set to 0 or positive to enable).", new DoubleValue(double.NaN))); Parameters.Add(new FixedValueParameter(MinimumStandardDeviationName, "(stopTolXFactor) If the standard deviation falls below a certain value the algorithm terminates (set to 0 or positive to enable).", new DoubleValue(double.NaN))); Parameters.Add(new FixedValueParameter(MaximumStandardDeviationChangeName, "(stopTolUpXFactor) If the standard deviation changes by a value larger than this parameter the algorithm stops (set to a value > 0 to enable).", new DoubleValue(double.NaN))); var randomCreator = new RandomCreator(); var variableCreator = new VariableCreator(); var resultsCollector = new ResultsCollector(); var cmaInitializer = new Placeholder(); solutionCreator = new Placeholder(); var subScopesCreator = new SubScopesCreator(); var cmaMutator = new Placeholder(); var ussp = new UniformSubScopesProcessor(); evaluator = new Placeholder(); var subScopesCounter = new SubScopesCounter(); sorter = new SubScopesSorter(); var analyzer = new Placeholder(); var cmaRecombinator = new Placeholder(); var generationsCounter = new IntCounter(); var cmaUpdater = new Placeholder(); terminator = new Terminator(); OperatorGraph.InitialOperator = randomCreator; randomCreator.RandomParameter.ActualName = "Random"; randomCreator.SeedParameter.ActualName = SeedParameter.Name; randomCreator.SeedParameter.Value = null; randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name; randomCreator.SetSeedRandomlyParameter.Value = null; randomCreator.Successor = variableCreator; variableCreator.Name = "Initialize Variables"; variableCreator.CollectedValues.Add(new ValueParameter("EvaluatedSolutions", new IntValue(0))); variableCreator.CollectedValues.Add(new ValueParameter("Generations", new IntValue(0))); variableCreator.Successor = resultsCollector; resultsCollector.CollectedValues.Add(new LookupParameter("EvaluatedSolutions")); resultsCollector.CollectedValues.Add(new LookupParameter("Generations")); resultsCollector.ResultsParameter.ActualName = "Results"; resultsCollector.Successor = cmaInitializer; cmaInitializer.Name = "Initialize Strategy Parameters"; cmaInitializer.OperatorParameter.ActualName = CMAInitializerParameter.Name; cmaInitializer.Successor = solutionCreator; solutionCreator.Name = "Initialize xmean"; // solutionCreator.OperatorParameter will be wired solutionCreator.Successor = subScopesCreator; subScopesCreator.NumberOfSubScopesParameter.ActualName = PopulationSizeParameter.Name; subScopesCreator.Successor = cmaMutator; cmaMutator.Name = "Sample population"; cmaMutator.OperatorParameter.ActualName = CMAMutatorParameter.Name; cmaMutator.Successor = ussp; ussp.Name = "Evaluate offspring"; ussp.Parallel = new BoolValue(true); ussp.Operator = evaluator; ussp.Successor = subScopesCounter; evaluator.Name = "Evaluator"; // evaluator.OperatorParameter will be wired evaluator.Successor = null; subScopesCounter.Name = "Count EvaluatedSolutions"; subScopesCounter.AccumulateParameter.Value = new BoolValue(true); subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions"; subScopesCounter.Successor = sorter; // sorter.ValueParameter will be wired // sorter.DescendingParameter will be wired sorter.Successor = analyzer; analyzer.Name = "Analyzer"; analyzer.OperatorParameter.ActualName = AnalyzerParameter.Name; analyzer.Successor = cmaRecombinator; cmaRecombinator.Name = "Create new xmean"; cmaRecombinator.OperatorParameter.ActualName = CMARecombinatorParameter.Name; cmaRecombinator.Successor = generationsCounter; generationsCounter.Name = "Generations++"; generationsCounter.IncrementParameter.Value = new IntValue(1); generationsCounter.ValueParameter.ActualName = "Generations"; generationsCounter.Successor = cmaUpdater; cmaUpdater.Name = "Update distributions"; cmaUpdater.OperatorParameter.ActualName = CMAUpdaterParameter.Name; cmaUpdater.Successor = terminator; terminator.Continue = cmaMutator; terminator.Terminate = null; qualityAnalyzer = new BestAverageWorstQualityAnalyzer(); cmaAnalyzer = new CMAAnalyzer(); InitializeOperators(); RegisterEventHandlers(); Parameterize(); } public override IDeepCloneable Clone(Cloner cloner) { return new CMAEvolutionStrategy(this, cloner); } [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { RegisterEventHandlers(); } public override void Prepare() { if (Problem != null) base.Prepare(); } protected override void OnStarted() { if (!(Problem.SolutionCreator is IRealVectorCreator)) throw new InvalidOperationException("Problems that do not use RealVectorEncoding cannot be solved by CMA-ES."); base.OnStarted(); } #region Events protected override void OnProblemChanged() { Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged; var creator = Problem.SolutionCreator as IRealVectorCreator; if (creator != null) { creator.RealVectorParameter.ActualNameChanged += RealVectorCreator_Changed; creator.LengthParameter.ActualNameChanged += RealVectorCreator_Changed; creator.LengthParameter.ValueChanged += RealVectorCreator_Changed; creator.BoundsParameter.ActualNameChanged += RealVectorCreator_Changed; creator.BoundsParameter.ValueChanged += RealVectorCreator_Changed; } UpdateOperators(); UpdateAnalyzers(); Parameterize(); base.OnProblemChanged(); } protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) { var creator = Problem.SolutionCreator as IRealVectorCreator; if (creator != null) { creator.RealVectorParameter.ActualNameChanged += RealVectorCreator_Changed; creator.LengthParameter.ActualNameChanged += RealVectorCreator_Changed; creator.LengthParameter.ValueChanged += RealVectorCreator_Changed; creator.BoundsParameter.ActualNameChanged += RealVectorCreator_Changed; creator.BoundsParameter.ValueChanged += RealVectorCreator_Changed; } Parameterize(); base.Problem_SolutionCreatorChanged(sender, e); } protected override void Problem_EvaluatorChanged(object sender, EventArgs e) { Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged; Parameterize(); base.Problem_EvaluatorChanged(sender, e); } protected override void Problem_OperatorsChanged(object sender, EventArgs e) { UpdateOperators(); UpdateAnalyzers(); Parameterize(); base.Problem_OperatorsChanged(sender, e); } private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) { Parameterize(); } private bool cmaesInitializerSync; private void CMAESInitializerParameter_ValueChanged(object sender, EventArgs e) { if (cmaesInitializerSync) return; UpdateOperators(); Parameterize(); } private void RealVectorCreator_Changed(object sender, EventArgs e) { Parameterize(); } #endregion #region Helpers private void RegisterEventHandlers() { CMAInitializerParameter.ValueChanged += CMAESInitializerParameter_ValueChanged; if (Problem != null) { Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged; var creator = Problem.SolutionCreator as IRealVectorCreator; if (creator != null) { creator.RealVectorParameter.ActualNameChanged += RealVectorCreator_Changed; creator.LengthParameter.ActualNameChanged += RealVectorCreator_Changed; creator.LengthParameter.ValueChanged += RealVectorCreator_Changed; creator.BoundsParameter.ActualNameChanged += RealVectorCreator_Changed; creator.BoundsParameter.ValueChanged += RealVectorCreator_Changed; } } } private void InitializeOperators() { foreach (var op in ApplicationManager.Manager.GetInstances()) CMAInitializerParameter.ValidValues.Add(op); foreach (var op in ApplicationManager.Manager.GetInstances().Where(x => x.CMAType == CMAInitializer.CMAType)) CMAMutatorParameter.ValidValues.Add(op); foreach (var op in ApplicationManager.Manager.GetInstances().Where(x => x.CMAType == CMAInitializer.CMAType)) CMARecombinatorParameter.ValidValues.Add(op); foreach (var op in ApplicationManager.Manager.GetInstances().Where(x => x.CMAType == CMAInitializer.CMAType)) CMAUpdaterParameter.ValidValues.Add(op); } private void UpdateOperators() { cmaesInitializerSync = true; try { var oldMutator = CMAMutator; var oldRecombinator = CMARecombinator; var oldUpdater = CMAUpdater; if (CMAInitializer != null && (oldMutator == null || oldMutator.CMAType != CMAInitializer.CMAType)) { CMAMutatorParameter.ValidValues.Clear(); foreach (var op in ApplicationManager.Manager.GetInstances().Where(x => x.CMAType == CMAInitializer.CMAType)) CMAMutatorParameter.ValidValues.Add(op); CMAMutator = CMAMutatorParameter.ValidValues.First(); } if (CMAInitializer != null && (oldRecombinator == null || oldRecombinator.CMAType != CMAInitializer.CMAType)) { CMARecombinatorParameter.ValidValues.Clear(); foreach (var op in ApplicationManager.Manager.GetInstances().Where(x => x.CMAType == CMAInitializer.CMAType)) CMARecombinatorParameter.ValidValues.Add(op); CMARecombinator = CMARecombinatorParameter.ValidValues.First(); } if (CMAInitializer != null && (oldUpdater == null || oldUpdater.CMAType != CMAInitializer.CMAType)) { CMAUpdaterParameter.ValidValues.Clear(); foreach (var op in ApplicationManager.Manager.GetInstances().Where(x => x.CMAType == CMAInitializer.CMAType)) CMAUpdaterParameter.ValidValues.Add(op); CMAUpdater = CMAUpdaterParameter.ValidValues.First(); } } finally { cmaesInitializerSync = false; } } private void UpdateAnalyzers() { Analyzer.Operators.Clear(); if (Problem != null) { foreach (var analyzer in Problem.Operators.OfType()) { foreach (var param in analyzer.Parameters.OfType()) param.Depth = 1; Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault); } } Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault); Analyzer.Operators.Add(cmaAnalyzer, cmaAnalyzer.EnabledByDefault); } private void Parameterize() { foreach (var op in CMAInitializerParameter.ValidValues) { op.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name; op.PopulationSizeParameter.Hidden = true; op.MuParameter.ActualName = MuParameter.Name; op.MuParameter.Hidden = true; op.InitialIterationsParameter.Value = null; op.InitialIterationsParameter.ActualName = InitialIterationsParameter.Name; op.InitialIterationsParameter.Hidden = true; op.InitialSigmaParameter.Value = null; op.InitialSigmaParameter.ActualName = InitialSigmaParameter.Name; op.InitialSigmaParameter.Hidden = true; op.DimensionParameter.Hidden = false; ParameterizeStochasticOperator(op); ParameterizeIterationBasedOperator(op); } foreach (var op in CMAMutatorParameter.ValidValues) { op.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name; op.PopulationSizeParameter.Hidden = true; op.MeanParameter.Hidden = false; op.BoundsParameter.Hidden = false; op.RealVectorParameter.Hidden = false; ParameterizeStochasticOperator(op); ParameterizeIterationBasedOperator(op); } foreach (var op in CMARecombinatorParameter.ValidValues) { op.OldMeanParameter.ActualName = "XOld"; op.OldMeanParameter.Hidden = true; op.OffspringParameter.Hidden = false; op.MeanParameter.Hidden = false; ParameterizeStochasticOperator(op); ParameterizeIterationBasedOperator(op); } foreach (var op in CMAUpdaterParameter.ValidValues) { op.MaximumEvaluatedSolutionsParameter.ActualName = MaximumEvaluatedSolutionsParameter.Name; op.MaximumEvaluatedSolutionsParameter.Hidden = true; op.OldMeanParameter.ActualName = "XOld"; op.OldMeanParameter.Hidden = true; op.MeanParameter.Hidden = false; op.OffspringParameter.Hidden = false; op.QualityParameter.Hidden = false; ParameterizeStochasticOperator(op); ParameterizeIterationBasedOperator(op); } terminator.IterationsParameter.ActualName = "Generations"; terminator.MaximumIterationsParameter.ActualName = MaximumGenerationsParameter.Name; terminator.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions"; terminator.InitialSigmaParameter.ActualName = InitialSigmaParameter.Name; terminator.MaximumEvaluatedSolutionsParameter.ActualName = MaximumEvaluatedSolutionsParameter.Name; terminator.MaximumStandardDeviationChangeParameter.ActualName = MaximumStandardDeviationChangeParameter.Name; terminator.MinimumQualityChangeParameter.ActualName = MinimumQualityChangeParameter.Name; terminator.MinimumQualityHistoryChangeParameter.ActualName = MinimumQualityHistoryChangeParameter.Name; terminator.MinimumStandardDeviationParameter.ActualName = MinimumStandardDeviationParameter.Name; terminator.TargetQualityParameter.ActualName = TargetQualityParameter.Name; if (CMAUpdater != null) terminator.DegenerateStateParameter.ActualName = CMAUpdater.DegenerateStateParameter.ActualName; var creator = Problem != null ? (Problem.SolutionCreator as IRealVectorCreator) : null; if (Problem != null && creator != null) { solutionCreator.OperatorParameter.ActualName = Problem.SolutionCreatorParameter.Name; evaluator.OperatorParameter.ActualName = Problem.EvaluatorParameter.Name; sorter.DescendingParameter.ActualName = Problem.MaximizationParameter.Name; sorter.ValueParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName; terminator.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name; terminator.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.Name; foreach (var op in CMAInitializerParameter.ValidValues) { if (creator.LengthParameter.Value == null) { op.DimensionParameter.ActualName = creator.LengthParameter.ActualName; op.DimensionParameter.Value = null; } else op.DimensionParameter.Value = creator.LengthParameter.Value; op.DimensionParameter.Hidden = true; } foreach (var op in CMAMutatorParameter.ValidValues) { op.MeanParameter.ActualName = creator.RealVectorParameter.ActualName; op.MeanParameter.Hidden = true; if (creator.BoundsParameter.Value == null) { op.BoundsParameter.ActualName = creator.BoundsParameter.ActualName; op.BoundsParameter.Value = null; } else op.BoundsParameter.Value = creator.BoundsParameter.Value; op.BoundsParameter.Hidden = true; op.RealVectorParameter.ActualName = creator.RealVectorParameter.ActualName; op.RealVectorParameter.Depth = 1; op.RealVectorParameter.Hidden = true; } foreach (var op in CMARecombinatorParameter.ValidValues) { op.MeanParameter.ActualName = creator.RealVectorParameter.ActualName; op.MeanParameter.Hidden = true; op.OffspringParameter.ActualName = creator.RealVectorParameter.ActualName; op.OffspringParameter.Depth = 1; op.OffspringParameter.Hidden = true; } foreach (var op in CMAUpdaterParameter.ValidValues) { op.MeanParameter.ActualName = creator.RealVectorParameter.ActualName; op.MeanParameter.Hidden = true; op.OffspringParameter.ActualName = creator.RealVectorParameter.ActualName; op.OffspringParameter.Depth = 1; op.OffspringParameter.Hidden = true; op.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName; op.QualityParameter.Hidden = true; } foreach (var op in Problem.Operators.OfType()) { op.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName; op.RandomParameter.Hidden = true; } qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name; qualityAnalyzer.MaximizationParameter.Hidden = true; qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName; qualityAnalyzer.QualityParameter.Depth = 1; qualityAnalyzer.QualityParameter.Hidden = true; qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name; qualityAnalyzer.BestKnownQualityParameter.Hidden = true; cmaAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName; cmaAnalyzer.QualityParameter.Depth = 1; cmaAnalyzer.QualityParameter.Hidden = true; cmaAnalyzer.MeanParameter.ActualName = creator.RealVectorParameter.ActualName; cmaAnalyzer.MeanParameter.Hidden = true; foreach (var op in Problem.Operators.OfType()) { op.IterationsParameter.ActualName = "Generations"; op.IterationsParameter.Hidden = true; op.MaximumIterationsParameter.ActualName = MaximumGenerationsParameter.Name; op.MaximumIterationsParameter.Hidden = true; } } else { qualityAnalyzer.MaximizationParameter.Hidden = false; qualityAnalyzer.QualityParameter.Hidden = false; qualityAnalyzer.BestKnownQualityParameter.Hidden = false; cmaAnalyzer.MeanParameter.Hidden = false; } qualityAnalyzer.ResultsParameter.ActualName = "Results"; qualityAnalyzer.ResultsParameter.Hidden = true; cmaAnalyzer.ResultsParameter.ActualName = "Results"; cmaAnalyzer.ResultsParameter.Hidden = true; } private void ParameterizeStochasticOperator(IOperator op) { var sOp = op as IStochasticOperator; if (sOp != null) sOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName; } private void ParameterizeIterationBasedOperator(IOperator op) { var iOp = op as IIterationBasedOperator; if (iOp != null) { iOp.IterationsParameter.ActualName = "Generations"; iOp.MaximumIterationsParameter.ActualName = MaximumGenerationsParameter.Name; } } #endregion } }