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source: trunk/sources/HeuristicLab.Algorithms.EvolutionStrategy/3.3/EvolutionStrategy.cs @ 3580

Last change on this file since 3580 was 3450, checked in by abeham, 15 years ago

Changed handling of strategy parameters and renamed operators in realvector #890, #932, #934
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File size: 45.5 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Data;
28using HeuristicLab.Operators;
29using HeuristicLab.Optimization;
30using HeuristicLab.Optimization.Operators;
31using HeuristicLab.Parameters;
32using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
33using HeuristicLab.PluginInfrastructure;
34using HeuristicLab.Random;
35
36namespace HeuristicLab.Algorithms.EvolutionStrategy {
37  /// <summary>
38  /// A standard genetic algorithm.
39  /// </summary>
40  [Item("Evolution Strategy", "An evolution strategy.")]
41  [Creatable("Algorithms")]
42  [StorableClass]
43  public sealed class EvolutionStrategy : EngineAlgorithm {
44    #region Problem Properties
45    public override Type ProblemType {
46      get { return typeof(ISingleObjectiveProblem); }
47    }
48    public new ISingleObjectiveProblem Problem {
49      get { return (ISingleObjectiveProblem)base.Problem; }
50      set { base.Problem = value; }
51    }
52    #endregion
53
54    #region Parameter Properties
55    private ValueParameter<IntValue> SeedParameter {
56      get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
57    }
58    private ValueParameter<BoolValue> SetSeedRandomlyParameter {
59      get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
60    }
61    private ValueParameter<IntValue> PopulationSizeParameter {
62      get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
63    }
64    private ValueParameter<IntValue> ParentsPerChildParameter {
65      get { return (ValueParameter<IntValue>)Parameters["ParentsPerChild"]; }
66    }
67    private ValueParameter<IntValue> ChildrenParameter {
68      get { return (ValueParameter<IntValue>)Parameters["Children"]; }
69    }
70    private ValueParameter<IntValue> MaximumGenerationsParameter {
71      get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
72    }
73    private ValueParameter<BoolValue> PlusSelectionParameter {
74      get { return (ValueParameter<BoolValue>)Parameters["PlusSelection"]; }
75    }
76    private ConstrainedValueParameter<IManipulator> MutatorParameter {
77      get { return (ConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
78    }
79    private OptionalConstrainedValueParameter<ICrossover> RecombinatorParameter {
80      get { return (OptionalConstrainedValueParameter<ICrossover>)Parameters["Recombinator"]; }
81    }
82    private OptionalConstrainedValueParameter<IStrategyParameterCreator> StrategyParameterCreatorParameter {
83      get { return (OptionalConstrainedValueParameter<IStrategyParameterCreator>)Parameters["StrategyParameterCreator"]; }
84    }
85    private OptionalConstrainedValueParameter<IStrategyParameterCrossover> StrategyParameterCrossoverParameter {
86      get { return (OptionalConstrainedValueParameter<IStrategyParameterCrossover>)Parameters["StrategyParameterCrossover"]; }
87    }
88    private OptionalConstrainedValueParameter<IStrategyParameterManipulator> StrategyParameterManipulatorParameter {
89      get { return (OptionalConstrainedValueParameter<IStrategyParameterManipulator>)Parameters["StrategyParameterManipulator"]; }
90    }
91    #endregion
92
93    #region Properties
94    public IntValue Seed {
95      get { return SeedParameter.Value; }
96      set { SeedParameter.Value = value; }
97    }
98    public BoolValue SetSeedRandomly {
99      get { return SetSeedRandomlyParameter.Value; }
100      set { SetSeedRandomlyParameter.Value = value; }
101    }
102    public IntValue PopulationSize {
103      get { return PopulationSizeParameter.Value; }
104      set { PopulationSizeParameter.Value = value; }
105    }
106    public IntValue ParentsPerChild {
107      get { return ParentsPerChildParameter.Value; }
108      set { ParentsPerChildParameter.Value = value; }
109    }
110    public IntValue Children {
111      get { return ChildrenParameter.Value; }
112      set { ChildrenParameter.Value = value; }
113    }
114    public IntValue MaximumGenerations {
115      get { return MaximumGenerationsParameter.Value; }
116      set { MaximumGenerationsParameter.Value = value; }
117    }
118    private BoolValue PlusSelection {
119      get { return PlusSelectionParameter.Value; }
120      set { PlusSelectionParameter.Value = value; }
121    }
122    public IManipulator Mutator {
123      get { return MutatorParameter.Value; }
124      set { MutatorParameter.Value = value; }
125    }
126    public ICrossover Recombinator {
127      get { return RecombinatorParameter.Value; }
128      set { RecombinatorParameter.Value = value; }
129    }
130    public IStrategyParameterCreator StrategyParameterCreator {
131      get { return StrategyParameterCreatorParameter.Value; }
132      set { StrategyParameterCreatorParameter.Value = value; }
133    }
134    public IStrategyParameterCrossover StrategyParameterCrossover {
135      get { return StrategyParameterCrossoverParameter.Value; }
136      set { StrategyParameterCrossoverParameter.Value = value; }
137    }
138    public IStrategyParameterManipulator StrategyParameterManipulator {
139      get { return StrategyParameterManipulatorParameter.Value; }
140      set { StrategyParameterManipulatorParameter.Value = value; }
141    }
142
143    private RandomCreator RandomCreator {
144      get { return (RandomCreator)OperatorGraph.InitialOperator; }
145    }
146    private SolutionsCreator SolutionsCreator {
147      get { return (SolutionsCreator)RandomCreator.Successor; }
148    }
149    private EvolutionStrategyMainLoop MainLoop {
150      get { return (EvolutionStrategyMainLoop)((UniformSubScopesProcessor)SolutionsCreator.Successor).Successor; }
151    }
152    #endregion
153
154    public EvolutionStrategy()
155      : base() {
156      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
157      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
158      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "µ (mu) - the size of the population.", new IntValue(5)));
159      Parameters.Add(new ValueParameter<IntValue>("ParentsPerChild", "ρ (rho) - how many parents should be recombined.", new IntValue(1)));
160      Parameters.Add(new ValueParameter<IntValue>("Children", "λ (lambda) - the size of the offspring population.", new IntValue(10)));
161      Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed.", new IntValue(1000)));
162      Parameters.Add(new ValueParameter<BoolValue>("PlusSelection", "True for plus selection (elitist population), false for comma selection (non-elitist population).", new BoolValue(true)));
163      Parameters.Add(new OptionalConstrainedValueParameter<ICrossover>("Recombinator", "The operator used to cross solutions."));
164      Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
165      Parameters.Add(new OptionalConstrainedValueParameter<IStrategyParameterCreator>("StrategyParameterCreator", "The operator that creates the strategy parameters."));
166      Parameters.Add(new OptionalConstrainedValueParameter<IStrategyParameterCrossover>("StrategyParameterCrossover", "The operator that recombines the strategy parameters."));
167      Parameters.Add(new OptionalConstrainedValueParameter<IStrategyParameterManipulator>("StrategyParameterManipulator", "The operator that manipulates the strategy parameters."));
168
169      RandomCreator randomCreator = new RandomCreator();
170      SolutionsCreator solutionsCreator = new SolutionsCreator();
171      UniformSubScopesProcessor strategyVectorProcessor = new UniformSubScopesProcessor();
172      Placeholder strategyVectorCreator = new Placeholder();
173      EvolutionStrategyMainLoop mainLoop = new EvolutionStrategyMainLoop();
174      OperatorGraph.InitialOperator = randomCreator;
175
176      randomCreator.RandomParameter.ActualName = "Random";
177      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
178      randomCreator.SeedParameter.Value = null;
179      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
180      randomCreator.SetSeedRandomlyParameter.Value = null;
181      randomCreator.Successor = solutionsCreator;
182
183      solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
184      solutionsCreator.Successor = strategyVectorProcessor;
185
186      strategyVectorProcessor.Operator = strategyVectorCreator;
187      strategyVectorProcessor.Successor = mainLoop;
188
189      strategyVectorCreator.OperatorParameter.ActualName = "StrategyParameterCreator";
190
191      mainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
192      mainLoop.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
193      mainLoop.ParentsPerChildParameter.ActualName = ParentsPerChildParameter.Name;
194      mainLoop.ChildrenParameter.ActualName = ChildrenParameter.Name;
195      mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
196      mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
197      mainLoop.RecombinatorParameter.ActualName = RecombinatorParameter.Name;
198      mainLoop.ResultsParameter.ActualName = "Results";
199
200      Initialize();
201    }
202    [StorableConstructor]
203    private EvolutionStrategy(bool deserializing) : base(deserializing) { }
204
205    public override IDeepCloneable Clone(Cloner cloner) {
206      EvolutionStrategy clone = (EvolutionStrategy)base.Clone(cloner);
207      clone.Initialize();
208      return clone;
209    }
210
211    public override void Prepare() {
212      if (Problem != null) base.Prepare();
213    }
214
215    #region Events
216    protected override void OnProblemChanged() {
217      ParameterizeStochasticOperator(Problem.SolutionCreator);
218      ParameterizeStochasticOperator(Problem.Evaluator);
219      ParameterizeStochasticOperator(Problem.Visualizer);
220      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
221      ParameterizeSolutionsCreator();
222      ParameterizeMainLoop();
223      UpdateRecombinators();
224      UpdateMutators();
225      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
226      base.OnProblemChanged();
227    }
228    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
229      ParameterizeStochasticOperator(Problem.SolutionCreator);
230      ParameterizeSolutionsCreator();
231      base.Problem_SolutionCreatorChanged(sender, e);
232    }
233    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
234      ParameterizeStochasticOperator(Problem.Evaluator);
235      ParameterizeSolutionsCreator();
236      ParameterizeMainLoop();
237      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
238      base.Problem_EvaluatorChanged(sender, e);
239    }
240    protected override void Problem_VisualizerChanged(object sender, EventArgs e) {
241      ParameterizeStochasticOperator(Problem.Visualizer);
242      ParameterizeMainLoop();
243      base.Problem_VisualizerChanged(sender, e);
244    }
245    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
246      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
247      UpdateRecombinators();
248      UpdateMutators();
249      base.Problem_OperatorsChanged(sender, e);
250    }
251    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
252      ParameterizeMainLoop();
253    }
254    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
255      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
256      PopulationSize_ValueChanged(null, EventArgs.Empty);
257    }
258    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
259      if (PopulationSize.Value <= 0) PopulationSize.Value = 1;
260      if (!PlusSelection.Value && Children.Value < PopulationSize.Value)
261        Children.Value = PopulationSize.Value;
262    }
263    private void ParentsPerChildParameter_ValueChanged(object sender, EventArgs e) {
264      ParentsPerChild.ValueChanged += new EventHandler(ParentsPerChild_ValueChanged);
265      ParentsPerChild_ValueChanged(null, EventArgs.Empty);
266    }
267    private void ParentsPerChild_ValueChanged(object sender, EventArgs e) {
268      if (ParentsPerChild.Value < 1 || ParentsPerChild.Value > 1 && RecombinatorParameter.ValidValues.Count == 0)
269        ParentsPerChild.Value = 1;
270      if (ParentsPerChild.Value > 1 && Recombinator == null) Recombinator = RecombinatorParameter.ValidValues.First();
271      if (ParentsPerChild.Value > 1 && ParentsPerChild.Value > PopulationSize.Value)
272        PopulationSize.Value = ParentsPerChild.Value;
273    }
274    private void ChildrenParameter_ValueChanged(object sender, EventArgs e) {
275      Children.ValueChanged += new EventHandler(Children_ValueChanged);
276      Children_ValueChanged(null, EventArgs.Empty);
277    }
278    private void Children_ValueChanged(object sender, EventArgs e) {
279      if (Children.Value <= 0) Children.Value = 1;
280      if (!PlusSelection.Value && Children.Value < PopulationSize.Value)
281        PopulationSize.Value = Children.Value;
282    }
283    private void PlusSelectionParameter_ValueChanged(object sender, EventArgs e) {
284      PlusSelection.ValueChanged += new EventHandler(PlusSelection_ValueChanged);
285      PlusSelection_ValueChanged(null, EventArgs.Empty);
286    }
287    private void PlusSelection_ValueChanged(object sender, EventArgs e) {
288      if (!PlusSelection.Value && Children.Value < PopulationSize.Value)
289        Children.Value = PopulationSize.Value;
290    }
291    private void RecombinatorParameter_ValueChanged(object sender, EventArgs e) {
292      if (Recombinator == null && ParentsPerChild.Value > 1) ParentsPerChild.Value = 1;
293      else if (Recombinator != null && ParentsPerChild.Value == 1) ParentsPerChild.Value = 2;
294      if (Recombinator != null && Mutator is ISelfAdaptiveManipulator && StrategyParameterCrossover == null) {
295        if (StrategyParameterCrossoverParameter.ValidValues.Count > 0)
296          StrategyParameterCrossover = StrategyParameterCrossoverParameter.ValidValues.First();
297      }
298    }
299    private void MutatorParameter_ValueChanged(object sender, EventArgs e) {
300      if (Mutator is ISelfAdaptiveManipulator) {
301        UpdateStrategyParameterOperators();
302        if (StrategyParameterCreatorParameter.ValidValues.Count == 0) throw new InvalidOperationException("ERROR: There is no strategy parameter creator for this manipulation operator.");
303      } else {
304        StrategyParameterCreatorParameter.ValidValues.Clear();
305        StrategyParameterCrossoverParameter.ValidValues.Clear();
306        StrategyParameterManipulatorParameter.ValidValues.Clear();
307        UpdateRecombinators();
308      }
309    }
310    private void StrategyParameterCreatorParameter_ValueChanged(object sender, EventArgs e) {
311      if (Mutator is ISelfAdaptiveManipulator && StrategyParameterCreator == null && StrategyParameterCreatorParameter.ValidValues.Count > 0)
312        StrategyParameterCreator = StrategyParameterCreatorParameter.ValidValues.First();
313    }
314    private void StrategyParameterCrossoverParameter_ValueChanged(object sender, EventArgs e) {
315      if (Mutator is ISelfAdaptiveManipulator && Recombinator != null && StrategyParameterCrossover == null && StrategyParameterCrossoverParameter.ValidValues.Count > 0)
316        StrategyParameterCrossover = StrategyParameterCrossoverParameter.ValidValues.First();
317    }
318    #endregion
319
320    #region Helpers
321    [StorableHook(HookType.AfterDeserialization)]
322    private void Initialize() {
323      PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
324      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
325      ParentsPerChildParameter.ValueChanged += new EventHandler(ParentsPerChildParameter_ValueChanged);
326      ParentsPerChild.ValueChanged += new EventHandler(ParentsPerChild_ValueChanged);
327      ChildrenParameter.ValueChanged += new EventHandler(ChildrenParameter_ValueChanged);
328      Children.ValueChanged += new EventHandler(Children_ValueChanged);
329      PlusSelectionParameter.ValueChanged += new EventHandler(PlusSelectionParameter_ValueChanged);
330      PlusSelection.ValueChanged += new EventHandler(PlusSelection_ValueChanged);
331      RecombinatorParameter.ValueChanged += new EventHandler(RecombinatorParameter_ValueChanged);
332      MutatorParameter.ValueChanged += new EventHandler(MutatorParameter_ValueChanged);
333      StrategyParameterCrossoverParameter.ValueChanged += new EventHandler(StrategyParameterCrossoverParameter_ValueChanged);
334      StrategyParameterCreatorParameter.ValueChanged += new EventHandler(StrategyParameterCreatorParameter_ValueChanged);
335      if (Problem != null)
336        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
337    }
338    private void ParameterizeSolutionsCreator() {
339      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
340      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
341    }
342    private void ParameterizeMainLoop() {
343      MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
344      MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
345      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
346      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
347      MainLoop.VisualizerParameter.ActualName = Problem.VisualizerParameter.Name;
348      if (Problem.Visualizer != null)
349        MainLoop.VisualizationParameter.ActualName = Problem.Visualizer.VisualizationParameter.ActualName;
350    }
351    private void ParameterizeStochasticOperator(IOperator op) {
352      if (op is IStochasticOperator)
353        ((IStochasticOperator)op).RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
354    }
355    private void UpdateStrategyParameterOperators() {
356      IStrategyParameterCreator oldStrategyCreator = StrategyParameterCreator;
357      IStrategyParameterCrossover oldStrategyCrossover = StrategyParameterCrossover;
358      IStrategyParameterManipulator oldStrategyManipulator = StrategyParameterManipulator;
359      ClearStrategyParameterOperators();
360      ISelfAdaptiveManipulator manipulator = (Mutator as ISelfAdaptiveManipulator);
361      if (manipulator != null) {
362        var operators = Problem.Operators.Where(x => manipulator.StrategyParameterType.IsAssignableFrom(x.GetType())).OrderBy(x => x.Name);
363        foreach (IStrategyParameterCreator strategyCreator in operators.OfType<IStrategyParameterCreator>())
364          StrategyParameterCreatorParameter.ValidValues.Add(strategyCreator);
365        foreach (IStrategyParameterCrossover strategyRecombinator in operators.OfType<IStrategyParameterCrossover>())
366          StrategyParameterCrossoverParameter.ValidValues.Add(strategyRecombinator);
367        foreach (IStrategyParameterManipulator strategyManipulator in operators.OfType<IStrategyParameterManipulator>())
368          StrategyParameterManipulatorParameter.ValidValues.Add(strategyManipulator);
369
370        if (StrategyParameterCrossoverParameter.ValidValues.Count == 0)
371          RecombinatorParameter.ValidValues.Clear(); // if there is no strategy parameter crossover, there can be no crossover when the mutation operator needs strategy parameters
372
373        if (oldStrategyCreator != null) {
374          IStrategyParameterCreator tmp1 = StrategyParameterCreatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldStrategyCreator.GetType());
375          if (tmp1 != null) StrategyParameterCreator = tmp1;
376        } else if (StrategyParameterCreatorParameter.ValidValues.Count > 0) StrategyParameterCreator = StrategyParameterCreatorParameter.ValidValues.First();
377        if (oldStrategyCrossover != null) {
378          IStrategyParameterCrossover tmp2 = StrategyParameterCrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldStrategyCrossover.GetType());
379          if (tmp2 != null) StrategyParameterCrossover = tmp2;
380        } else if (StrategyParameterCrossoverParameter.ValidValues.Count > 0) StrategyParameterCrossover = StrategyParameterCrossoverParameter.ValidValues.First();
381        if (oldStrategyManipulator != null) {
382          IStrategyParameterManipulator tmp3 = StrategyParameterManipulatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldStrategyManipulator.GetType());
383          if (tmp3 != null) StrategyParameterManipulator = tmp3;
384        } else if (StrategyParameterManipulatorParameter.ValidValues.Count > 0) StrategyParameterManipulator = StrategyParameterManipulatorParameter.ValidValues.First();
385      }
386    }
387    private void ClearStrategyParameterOperators() {
388      StrategyParameterCreatorParameter.ValidValues.Clear();
389      StrategyParameterCrossoverParameter.ValidValues.Clear();
390      StrategyParameterManipulatorParameter.ValidValues.Clear();
391    }
392    private void UpdateRecombinators() {
393      ICrossover oldRecombinator = Recombinator;
394      RecombinatorParameter.ValidValues.Clear();
395      foreach (ICrossover recombinator in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name)) {
396        RecombinatorParameter.ValidValues.Add(recombinator);
397      }
398      if (oldRecombinator != null) {
399        ICrossover recombinator = RecombinatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldRecombinator.GetType());
400        if (recombinator != null) RecombinatorParameter.Value = recombinator;
401      }
402    }
403    private void UpdateMutators() {
404      IManipulator oldMutator = MutatorParameter.Value;
405      MutatorParameter.ValidValues.Clear();
406      foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
407        MutatorParameter.ValidValues.Add(mutator);
408      if (oldMutator != null) {
409        IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
410        if (mutator != null) MutatorParameter.Value = mutator;
411      }
412    }
413    #endregion
414  }
415}
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