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source: trunk/sources/HeuristicLab.Algorithms.EvolutionStrategy/3.3/EvolutionStrategy.cs @ 4068

Last change on this file since 4068 was 4068, checked in by swagner, 14 years ago

Sorted usings and removed unused usings in entire solution (#1094)
  • Property svn:mime-type set to application/octet-stream
File size: 49.0 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.Linq;
24using HeuristicLab.Analysis;
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.Random;
34
35namespace HeuristicLab.Algorithms.EvolutionStrategy {
36  /// <summary>
37  /// A standard genetic algorithm.
38  /// </summary>
39  [Item("Evolution Strategy", "An evolution strategy.")]
40  [Creatable("Algorithms")]
41  [StorableClass]
42  public sealed class EvolutionStrategy : EngineAlgorithm {
43    #region Problem Properties
44    public override Type ProblemType {
45      get { return typeof(ISingleObjectiveProblem); }
46    }
47    public new ISingleObjectiveProblem Problem {
48      get { return (ISingleObjectiveProblem)base.Problem; }
49      set { base.Problem = value; }
50    }
51    #endregion
52
53    #region Parameter Properties
54    private ValueParameter<IntValue> SeedParameter {
55      get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
56    }
57    private ValueParameter<BoolValue> SetSeedRandomlyParameter {
58      get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
59    }
60    private ValueParameter<IntValue> PopulationSizeParameter {
61      get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
62    }
63    private ValueParameter<IntValue> ParentsPerChildParameter {
64      get { return (ValueParameter<IntValue>)Parameters["ParentsPerChild"]; }
65    }
66    private ValueParameter<IntValue> ChildrenParameter {
67      get { return (ValueParameter<IntValue>)Parameters["Children"]; }
68    }
69    private ValueParameter<IntValue> MaximumGenerationsParameter {
70      get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
71    }
72    private ValueParameter<BoolValue> PlusSelectionParameter {
73      get { return (ValueParameter<BoolValue>)Parameters["PlusSelection"]; }
74    }
75    private ConstrainedValueParameter<IManipulator> MutatorParameter {
76      get { return (ConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
77    }
78    private OptionalConstrainedValueParameter<ICrossover> RecombinatorParameter {
79      get { return (OptionalConstrainedValueParameter<ICrossover>)Parameters["Recombinator"]; }
80    }
81    private ValueParameter<MultiAnalyzer> AnalyzerParameter {
82      get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
83    }
84    private OptionalConstrainedValueParameter<IStrategyParameterCreator> StrategyParameterCreatorParameter {
85      get { return (OptionalConstrainedValueParameter<IStrategyParameterCreator>)Parameters["StrategyParameterCreator"]; }
86    }
87    private OptionalConstrainedValueParameter<IStrategyParameterCrossover> StrategyParameterCrossoverParameter {
88      get { return (OptionalConstrainedValueParameter<IStrategyParameterCrossover>)Parameters["StrategyParameterCrossover"]; }
89    }
90    private OptionalConstrainedValueParameter<IStrategyParameterManipulator> StrategyParameterManipulatorParameter {
91      get { return (OptionalConstrainedValueParameter<IStrategyParameterManipulator>)Parameters["StrategyParameterManipulator"]; }
92    }
93    #endregion
94
95    #region Properties
96    public IntValue Seed {
97      get { return SeedParameter.Value; }
98      set { SeedParameter.Value = value; }
99    }
100    public BoolValue SetSeedRandomly {
101      get { return SetSeedRandomlyParameter.Value; }
102      set { SetSeedRandomlyParameter.Value = value; }
103    }
104    public IntValue PopulationSize {
105      get { return PopulationSizeParameter.Value; }
106      set { PopulationSizeParameter.Value = value; }
107    }
108    public IntValue ParentsPerChild {
109      get { return ParentsPerChildParameter.Value; }
110      set { ParentsPerChildParameter.Value = value; }
111    }
112    public IntValue Children {
113      get { return ChildrenParameter.Value; }
114      set { ChildrenParameter.Value = value; }
115    }
116    public IntValue MaximumGenerations {
117      get { return MaximumGenerationsParameter.Value; }
118      set { MaximumGenerationsParameter.Value = value; }
119    }
120    private BoolValue PlusSelection {
121      get { return PlusSelectionParameter.Value; }
122      set { PlusSelectionParameter.Value = value; }
123    }
124    public IManipulator Mutator {
125      get { return MutatorParameter.Value; }
126      set { MutatorParameter.Value = value; }
127    }
128    public ICrossover Recombinator {
129      get { return RecombinatorParameter.Value; }
130      set { RecombinatorParameter.Value = value; }
131    }
132    public MultiAnalyzer Analyzer {
133      get { return AnalyzerParameter.Value; }
134      set { AnalyzerParameter.Value = value; }
135    }
136    public IStrategyParameterCreator StrategyParameterCreator {
137      get { return StrategyParameterCreatorParameter.Value; }
138      set { StrategyParameterCreatorParameter.Value = value; }
139    }
140    public IStrategyParameterCrossover StrategyParameterCrossover {
141      get { return StrategyParameterCrossoverParameter.Value; }
142      set { StrategyParameterCrossoverParameter.Value = value; }
143    }
144    public IStrategyParameterManipulator StrategyParameterManipulator {
145      get { return StrategyParameterManipulatorParameter.Value; }
146      set { StrategyParameterManipulatorParameter.Value = value; }
147    }
148
149    private RandomCreator RandomCreator {
150      get { return (RandomCreator)OperatorGraph.InitialOperator; }
151    }
152    private SolutionsCreator SolutionsCreator {
153      get { return (SolutionsCreator)RandomCreator.Successor; }
154    }
155    private EvolutionStrategyMainLoop MainLoop {
156      get { return (EvolutionStrategyMainLoop)((UniformSubScopesProcessor)SolutionsCreator.Successor).Successor; }
157    }
158    [Storable]
159    private BestAverageWorstQualityAnalyzer qualityAnalyzer;
160    #endregion
161
162    public EvolutionStrategy()
163      : base() {
164      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
165      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
166      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "µ (mu) - the size of the population.", new IntValue(20)));
167      Parameters.Add(new ValueParameter<IntValue>("ParentsPerChild", "ρ (rho) - how many parents should be recombined.", new IntValue(1)));
168      Parameters.Add(new ValueParameter<IntValue>("Children", "λ (lambda) - the size of the offspring population.", new IntValue(100)));
169      Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed.", new IntValue(1000)));
170      Parameters.Add(new ValueParameter<BoolValue>("PlusSelection", "True for plus selection (elitist population), false for comma selection (non-elitist population).", new BoolValue(true)));
171      Parameters.Add(new OptionalConstrainedValueParameter<ICrossover>("Recombinator", "The operator used to cross solutions."));
172      Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
173      Parameters.Add(new OptionalConstrainedValueParameter<IStrategyParameterCreator>("StrategyParameterCreator", "The operator that creates the strategy parameters."));
174      Parameters.Add(new OptionalConstrainedValueParameter<IStrategyParameterCrossover>("StrategyParameterCrossover", "The operator that recombines the strategy parameters."));
175      Parameters.Add(new OptionalConstrainedValueParameter<IStrategyParameterManipulator>("StrategyParameterManipulator", "The operator that manipulates the strategy parameters."));
176      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze each generation.", new MultiAnalyzer()));
177
178      RandomCreator randomCreator = new RandomCreator();
179      SolutionsCreator solutionsCreator = new SolutionsCreator();
180      UniformSubScopesProcessor strategyVectorProcessor = new UniformSubScopesProcessor();
181      Placeholder strategyVectorCreator = new Placeholder();
182      EvolutionStrategyMainLoop mainLoop = new EvolutionStrategyMainLoop();
183      OperatorGraph.InitialOperator = randomCreator;
184
185      randomCreator.RandomParameter.ActualName = "Random";
186      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
187      randomCreator.SeedParameter.Value = null;
188      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
189      randomCreator.SetSeedRandomlyParameter.Value = null;
190      randomCreator.Successor = solutionsCreator;
191
192      solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
193      solutionsCreator.Successor = strategyVectorProcessor;
194
195      strategyVectorProcessor.Operator = strategyVectorCreator;
196      strategyVectorProcessor.Successor = mainLoop;
197
198      strategyVectorCreator.OperatorParameter.ActualName = "StrategyParameterCreator";
199
200      mainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
201      mainLoop.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
202      mainLoop.ParentsPerChildParameter.ActualName = ParentsPerChildParameter.Name;
203      mainLoop.ChildrenParameter.ActualName = ChildrenParameter.Name;
204      mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
205      mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
206      mainLoop.RecombinatorParameter.ActualName = RecombinatorParameter.Name;
207      mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
208      mainLoop.ResultsParameter.ActualName = "Results";
209
210      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
211      ParameterizeAnalyzers();
212      UpdateAnalyzers();
213
214      Initialize();
215    }
216    [StorableConstructor]
217    private EvolutionStrategy(bool deserializing) : base(deserializing) { }
218
219    public override IDeepCloneable Clone(Cloner cloner) {
220      EvolutionStrategy clone = (EvolutionStrategy)base.Clone(cloner);
221      clone.qualityAnalyzer = (BestAverageWorstQualityAnalyzer)cloner.Clone(qualityAnalyzer);
222      clone.Initialize();
223      return clone;
224    }
225
226    public override void Prepare() {
227      if (Problem != null) base.Prepare();
228    }
229
230    #region Events
231    protected override void OnProblemChanged() {
232      ParameterizeStochasticOperator(Problem.SolutionCreator);
233      ParameterizeStochasticOperator(Problem.Evaluator);
234      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
235      ParameterizeSolutionsCreator();
236      ParameterizeMainLoop();
237      ParameterizeAnalyzers();
238      ParameterizeIterationBasedOperators();
239      UpdateRecombinators();
240      UpdateMutators();
241      UpdateAnalyzers();
242      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
243      base.OnProblemChanged();
244    }
245    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
246      ParameterizeStochasticOperator(Problem.SolutionCreator);
247      ParameterizeSolutionsCreator();
248      base.Problem_SolutionCreatorChanged(sender, e);
249    }
250    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
251      ParameterizeStochasticOperator(Problem.Evaluator);
252      ParameterizeSolutionsCreator();
253      ParameterizeMainLoop();
254      ParameterizeAnalyzers();
255      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
256      base.Problem_EvaluatorChanged(sender, e);
257    }
258    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
259      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
260      ParameterizeIterationBasedOperators();
261      UpdateRecombinators();
262      UpdateMutators();
263      UpdateAnalyzers();
264      base.Problem_OperatorsChanged(sender, e);
265    }
266    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
267      ParameterizeMainLoop();
268      ParameterizeAnalyzers();
269    }
270    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
271      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
272      PopulationSize_ValueChanged(null, EventArgs.Empty);
273    }
274    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
275      if (PopulationSize.Value <= 0) PopulationSize.Value = 1;
276      if (!PlusSelection.Value && Children.Value < PopulationSize.Value)
277        Children.Value = PopulationSize.Value;
278      if (PopulationSize.Value < ParentsPerChild.Value)
279        ParentsPerChild.Value = PopulationSize.Value;
280    }
281    private void ParentsPerChildParameter_ValueChanged(object sender, EventArgs e) {
282      ParentsPerChild.ValueChanged += new EventHandler(ParentsPerChild_ValueChanged);
283      ParentsPerChild_ValueChanged(null, EventArgs.Empty);
284    }
285    private void ParentsPerChild_ValueChanged(object sender, EventArgs e) {
286      if (ParentsPerChild.Value < 1 || ParentsPerChild.Value > 1 && RecombinatorParameter.ValidValues.Count == 0)
287        ParentsPerChild.Value = 1;
288      if (ParentsPerChild.Value > 1 && Recombinator == null) Recombinator = RecombinatorParameter.ValidValues.First();
289      if (ParentsPerChild.Value > 1 && ParentsPerChild.Value > PopulationSize.Value)
290        PopulationSize.Value = ParentsPerChild.Value;
291    }
292    private void ChildrenParameter_ValueChanged(object sender, EventArgs e) {
293      Children.ValueChanged += new EventHandler(Children_ValueChanged);
294      Children_ValueChanged(null, EventArgs.Empty);
295    }
296    private void Children_ValueChanged(object sender, EventArgs e) {
297      if (Children.Value <= 0) Children.Value = 1;
298      if (!PlusSelection.Value && Children.Value < PopulationSize.Value)
299        PopulationSize.Value = Children.Value;
300    }
301    private void PlusSelectionParameter_ValueChanged(object sender, EventArgs e) {
302      PlusSelection.ValueChanged += new EventHandler(PlusSelection_ValueChanged);
303      PlusSelection_ValueChanged(null, EventArgs.Empty);
304    }
305    private void PlusSelection_ValueChanged(object sender, EventArgs e) {
306      if (!PlusSelection.Value && Children.Value < PopulationSize.Value)
307        Children.Value = PopulationSize.Value;
308    }
309    private void RecombinatorParameter_ValueChanged(object sender, EventArgs e) {
310      if (Recombinator == null && ParentsPerChild.Value > 1) ParentsPerChild.Value = 1;
311      else if (Recombinator != null && ParentsPerChild.Value == 1) ParentsPerChild.Value = 2;
312      if (Recombinator != null && Mutator is ISelfAdaptiveManipulator && StrategyParameterCrossover == null) {
313        if (StrategyParameterCrossoverParameter.ValidValues.Count > 0)
314          StrategyParameterCrossover = StrategyParameterCrossoverParameter.ValidValues.First();
315      }
316    }
317    private void MutatorParameter_ValueChanged(object sender, EventArgs e) {
318      if (Mutator is ISelfAdaptiveManipulator) {
319        UpdateStrategyParameterOperators();
320      } else {
321        StrategyParameterCreatorParameter.ValidValues.Clear();
322        StrategyParameterCrossoverParameter.ValidValues.Clear();
323        StrategyParameterManipulatorParameter.ValidValues.Clear();
324        UpdateRecombinators();
325      }
326    }
327    private void StrategyParameterCreatorParameter_ValueChanged(object sender, EventArgs e) {
328      if (Mutator is ISelfAdaptiveManipulator && StrategyParameterCreator == null && StrategyParameterCreatorParameter.ValidValues.Count > 0)
329        StrategyParameterCreator = StrategyParameterCreatorParameter.ValidValues.First();
330    }
331    private void StrategyParameterCrossoverParameter_ValueChanged(object sender, EventArgs e) {
332      if (Mutator is ISelfAdaptiveManipulator && Recombinator != null && StrategyParameterCrossover == null && StrategyParameterCrossoverParameter.ValidValues.Count > 0)
333        StrategyParameterCrossover = StrategyParameterCrossoverParameter.ValidValues.First();
334    }
335    #endregion
336
337    #region Helpers
338    [StorableHook(HookType.AfterDeserialization)]
339    private void Initialize() {
340      PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
341      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
342      ParentsPerChildParameter.ValueChanged += new EventHandler(ParentsPerChildParameter_ValueChanged);
343      ParentsPerChild.ValueChanged += new EventHandler(ParentsPerChild_ValueChanged);
344      ChildrenParameter.ValueChanged += new EventHandler(ChildrenParameter_ValueChanged);
345      Children.ValueChanged += new EventHandler(Children_ValueChanged);
346      PlusSelectionParameter.ValueChanged += new EventHandler(PlusSelectionParameter_ValueChanged);
347      PlusSelection.ValueChanged += new EventHandler(PlusSelection_ValueChanged);
348      RecombinatorParameter.ValueChanged += new EventHandler(RecombinatorParameter_ValueChanged);
349      MutatorParameter.ValueChanged += new EventHandler(MutatorParameter_ValueChanged);
350      StrategyParameterCrossoverParameter.ValueChanged += new EventHandler(StrategyParameterCrossoverParameter_ValueChanged);
351      StrategyParameterCreatorParameter.ValueChanged += new EventHandler(StrategyParameterCreatorParameter_ValueChanged);
352      if (Problem != null)
353        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
354    }
355    private void ParameterizeSolutionsCreator() {
356      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
357      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
358    }
359    private void ParameterizeMainLoop() {
360      MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
361      MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
362      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
363      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
364    }
365    private void ParameterizeStochasticOperator(IOperator op) {
366      if (op is IStochasticOperator)
367        ((IStochasticOperator)op).RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
368    }
369    private void ParameterizeAnalyzers() {
370      qualityAnalyzer.ResultsParameter.ActualName = "Results";
371      if (Problem != null) {
372        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
373        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
374        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
375      }
376    }
377    private void ParameterizeIterationBasedOperators() {
378      if (Problem != null) {
379        foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
380          op.IterationsParameter.ActualName = "Generations";
381          op.MaximumIterationsParameter.ActualName = "MaximumGenerations";
382        }
383      }
384    }
385    private void UpdateStrategyParameterOperators() {
386      IStrategyParameterCreator oldStrategyCreator = StrategyParameterCreator;
387      IStrategyParameterCrossover oldStrategyCrossover = StrategyParameterCrossover;
388      IStrategyParameterManipulator oldStrategyManipulator = StrategyParameterManipulator;
389      ClearStrategyParameterOperators();
390      ISelfAdaptiveManipulator manipulator = (Mutator as ISelfAdaptiveManipulator);
391      if (manipulator != null) {
392        var operators = Problem.Operators.Where(x => manipulator.StrategyParameterType.IsAssignableFrom(x.GetType())).OrderBy(x => x.Name);
393        foreach (IStrategyParameterCreator strategyCreator in operators.OfType<IStrategyParameterCreator>())
394          StrategyParameterCreatorParameter.ValidValues.Add(strategyCreator);
395        foreach (IStrategyParameterCrossover strategyRecombinator in operators.OfType<IStrategyParameterCrossover>())
396          StrategyParameterCrossoverParameter.ValidValues.Add(strategyRecombinator);
397        foreach (IStrategyParameterManipulator strategyManipulator in operators.OfType<IStrategyParameterManipulator>())
398          StrategyParameterManipulatorParameter.ValidValues.Add(strategyManipulator);
399
400        if (StrategyParameterCrossoverParameter.ValidValues.Count == 0)
401          RecombinatorParameter.ValidValues.Clear(); // if there is no strategy parameter crossover, there can be no crossover when the mutation operator needs strategy parameters
402
403        if (oldStrategyCreator != null) {
404          IStrategyParameterCreator tmp1 = StrategyParameterCreatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldStrategyCreator.GetType());
405          if (tmp1 != null) StrategyParameterCreator = tmp1;
406        } else if (StrategyParameterCreatorParameter.ValidValues.Count > 0) StrategyParameterCreator = StrategyParameterCreatorParameter.ValidValues.First();
407        if (oldStrategyCrossover != null) {
408          IStrategyParameterCrossover tmp2 = StrategyParameterCrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldStrategyCrossover.GetType());
409          if (tmp2 != null) StrategyParameterCrossover = tmp2;
410        } else if (StrategyParameterCrossoverParameter.ValidValues.Count > 0) StrategyParameterCrossover = StrategyParameterCrossoverParameter.ValidValues.First();
411        if (oldStrategyManipulator != null) {
412          IStrategyParameterManipulator tmp3 = StrategyParameterManipulatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldStrategyManipulator.GetType());
413          if (tmp3 != null) StrategyParameterManipulator = tmp3;
414        } else if (StrategyParameterManipulatorParameter.ValidValues.Count > 0) StrategyParameterManipulator = StrategyParameterManipulatorParameter.ValidValues.First();
415      }
416    }
417    private void ClearStrategyParameterOperators() {
418      StrategyParameterCreatorParameter.ValidValues.Clear();
419      StrategyParameterCrossoverParameter.ValidValues.Clear();
420      StrategyParameterManipulatorParameter.ValidValues.Clear();
421    }
422    private void UpdateRecombinators() {
423      ICrossover oldRecombinator = Recombinator;
424      RecombinatorParameter.ValidValues.Clear();
425      foreach (ICrossover recombinator in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name)) {
426        RecombinatorParameter.ValidValues.Add(recombinator);
427      }
428      if (oldRecombinator != null) {
429        ICrossover recombinator = RecombinatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldRecombinator.GetType());
430        if (recombinator != null) RecombinatorParameter.Value = recombinator;
431      }
432    }
433    private void UpdateMutators() {
434      IManipulator oldMutator = MutatorParameter.Value;
435      MutatorParameter.ValidValues.Clear();
436      foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
437        MutatorParameter.ValidValues.Add(mutator);
438      if (oldMutator != null) {
439        IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
440        if (mutator != null) MutatorParameter.Value = mutator;
441      } else if (MutatorParameter.ValidValues.Count > 0 && Problem.Operators.OfType<ISelfAdaptiveManipulator>().Count() > 0) {
442        ISelfAdaptiveManipulator mutator = Problem.Operators.OfType<ISelfAdaptiveManipulator>().First();
443        if (mutator != null) MutatorParameter.Value = mutator;
444      }
445    }
446    private void UpdateAnalyzers() {
447      Analyzer.Operators.Clear();
448      if (Problem != null) {
449        foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>())
450          Analyzer.Operators.Add(analyzer);
451      }
452      Analyzer.Operators.Add(qualityAnalyzer);
453    }
454    #endregion
455  }
456}
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