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source: trunk/sources/HeuristicLab.Algorithms.GeneticAlgorithm/3.3/IslandGeneticAlgorithm.cs @ 4401

Last change on this file since 4401 was 4068, checked in by swagner, 14 years ago

Sorted usings and removed unused usings in entire solution (#1094)

File size: 23.6 KB
Line 
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.PluginInfrastructure;
34using HeuristicLab.Random;
35
36namespace HeuristicLab.Algorithms.GeneticAlgorithm {
37  /// <summary>
38  /// An island genetic algorithm.
39  /// </summary>
40  [Item("Island Genetic Algorithm", "An island genetic algorithm.")]
41  [Creatable("Algorithms")]
42  [StorableClass]
43  public sealed class IslandGeneticAlgorithm : EngineAlgorithm {
44
45    #region Problem Properties
46    public override Type ProblemType {
47      get { return typeof(ISingleObjectiveProblem); }
48    }
49    public new ISingleObjectiveProblem Problem {
50      get { return (ISingleObjectiveProblem)base.Problem; }
51      set { base.Problem = value; }
52    }
53    #endregion
54
55    #region Parameter Properties
56    private ValueParameter<IntValue> SeedParameter {
57      get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
58    }
59    private ValueParameter<BoolValue> SetSeedRandomlyParameter {
60      get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
61    }
62    private ValueParameter<IntValue> NumberOfIslandsParameter {
63      get { return (ValueParameter<IntValue>)Parameters["NumberOfIslands"]; }
64    }
65    private ValueParameter<IntValue> MigrationIntervalParameter {
66      get { return (ValueParameter<IntValue>)Parameters["MigrationInterval"]; }
67    }
68    private ValueParameter<PercentValue> MigrationRateParameter {
69      get { return (ValueParameter<PercentValue>)Parameters["MigrationRate"]; }
70    }
71    private ConstrainedValueParameter<IMigrator> MigratorParameter {
72      get { return (ConstrainedValueParameter<IMigrator>)Parameters["Migrator"]; }
73    }
74    private ConstrainedValueParameter<ISelector> EmigrantsSelectorParameter {
75      get { return (ConstrainedValueParameter<ISelector>)Parameters["EmigrantsSelector"]; }
76    }
77    private ConstrainedValueParameter<IReplacer> ImmigrationReplacerParameter {
78      get { return (ConstrainedValueParameter<IReplacer>)Parameters["ImmigrationReplacer"]; }
79    }
80    private ValueParameter<IntValue> PopulationSizeParameter {
81      get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
82    }
83    private ValueParameter<IntValue> MaximumGenerationsParameter {
84      get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
85    }
86    private ConstrainedValueParameter<ISelector> SelectorParameter {
87      get { return (ConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
88    }
89    private ConstrainedValueParameter<ICrossover> CrossoverParameter {
90      get { return (ConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
91    }
92    private ValueParameter<PercentValue> MutationProbabilityParameter {
93      get { return (ValueParameter<PercentValue>)Parameters["MutationProbability"]; }
94    }
95    private OptionalConstrainedValueParameter<IManipulator> MutatorParameter {
96      get { return (OptionalConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
97    }
98    private ValueParameter<IntValue> ElitesParameter {
99      get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
100    }
101    private ValueParameter<MultiAnalyzer> AnalyzerParameter {
102      get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
103    }
104    private ValueParameter<MultiAnalyzer> IslandAnalyzerParameter {
105      get { return (ValueParameter<MultiAnalyzer>)Parameters["IslandAnalyzer"]; }
106    }
107    #endregion
108
109    #region Properties
110    public IntValue Seed {
111      get { return SeedParameter.Value; }
112      set { SeedParameter.Value = value; }
113    }
114    public BoolValue SetSeedRandomly {
115      get { return SetSeedRandomlyParameter.Value; }
116      set { SetSeedRandomlyParameter.Value = value; }
117    }
118    public IntValue NumberOfIslands {
119      get { return NumberOfIslandsParameter.Value; }
120      set { NumberOfIslandsParameter.Value = value; }
121    }
122    public IntValue MigrationInterval {
123      get { return MigrationIntervalParameter.Value; }
124      set { MigrationIntervalParameter.Value = value; }
125    }
126    public PercentValue MigrationRate {
127      get { return MigrationRateParameter.Value; }
128      set { MigrationRateParameter.Value = value; }
129    }
130    public IMigrator Migrator {
131      get { return MigratorParameter.Value; }
132      set { MigratorParameter.Value = value; }
133    }
134    public ISelector EmigrantsSelector {
135      get { return EmigrantsSelectorParameter.Value; }
136      set { EmigrantsSelectorParameter.Value = value; }
137    }
138    public IReplacer ImmigrationReplacer {
139      get { return ImmigrationReplacerParameter.Value; }
140      set { ImmigrationReplacerParameter.Value = value; }
141    }
142    public IntValue PopulationSize {
143      get { return PopulationSizeParameter.Value; }
144      set { PopulationSizeParameter.Value = value; }
145    }
146    public IntValue MaximumGenerations {
147      get { return MaximumGenerationsParameter.Value; }
148      set { MaximumGenerationsParameter.Value = value; }
149    }
150    public ISelector Selector {
151      get { return SelectorParameter.Value; }
152      set { SelectorParameter.Value = value; }
153    }
154    public ICrossover Crossover {
155      get { return CrossoverParameter.Value; }
156      set { CrossoverParameter.Value = value; }
157    }
158    public PercentValue MutationProbability {
159      get { return MutationProbabilityParameter.Value; }
160      set { MutationProbabilityParameter.Value = value; }
161    }
162    public IManipulator Mutator {
163      get { return MutatorParameter.Value; }
164      set { MutatorParameter.Value = value; }
165    }
166    public IntValue Elites {
167      get { return ElitesParameter.Value; }
168      set { ElitesParameter.Value = value; }
169    }
170    public MultiAnalyzer Analyzer {
171      get { return AnalyzerParameter.Value; }
172      set { AnalyzerParameter.Value = value; }
173    }
174    public MultiAnalyzer IslandAnalyzer {
175      get { return IslandAnalyzerParameter.Value; }
176      set { IslandAnalyzerParameter.Value = value; }
177    }
178    private RandomCreator RandomCreator {
179      get { return (RandomCreator)OperatorGraph.InitialOperator; }
180    }
181    private UniformSubScopesProcessor IslandProcessor {
182      get { return ((RandomCreator.Successor as SubScopesCreator).Successor as UniformSubScopesProcessor); }
183    }
184    private SolutionsCreator SolutionsCreator {
185      get { return (SolutionsCreator)IslandProcessor.Operator; }
186    }
187    private IslandGeneticAlgorithmMainLoop MainLoop {
188      get { return (IslandGeneticAlgorithmMainLoop)IslandProcessor.Successor; }
189    }
190    [Storable]
191    private BestAverageWorstQualityAnalyzer islandQualityAnalyzer;
192    [Storable]
193    private BestAverageWorstQualityAnalyzer qualityAnalyzer;
194    #endregion
195
196    [StorableConstructor]
197    private IslandGeneticAlgorithm(bool deserializing) : base(deserializing) { }
198    public IslandGeneticAlgorithm()
199      : base() {
200      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
201      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
202      Parameters.Add(new ValueParameter<IntValue>("NumberOfIslands", "The number of islands.", new IntValue(5)));
203      Parameters.Add(new ValueParameter<IntValue>("MigrationInterval", "The number of generations that should pass between migration phases.", new IntValue(20)));
204      Parameters.Add(new ValueParameter<PercentValue>("MigrationRate", "The proportion of individuals that should migrate between the islands.", new PercentValue(0.15)));
205      Parameters.Add(new ConstrainedValueParameter<IMigrator>("Migrator", "The migration strategy."));
206      Parameters.Add(new ConstrainedValueParameter<ISelector>("EmigrantsSelector", "Selects the individuals that will be migrated."));
207      Parameters.Add(new ConstrainedValueParameter<IReplacer>("ImmigrationReplacer", "Selects the population from the unification of the original population and the immigrants."));
208      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
209      Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations that should be processed.", new IntValue(1000)));
210      Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
211      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
212      Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
213      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
214      Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
215      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
216      Parameters.Add(new ValueParameter<MultiAnalyzer>("IslandAnalyzer", "The operator used to analyze each island.", new MultiAnalyzer()));
217
218      RandomCreator randomCreator = new RandomCreator();
219      SubScopesCreator populationCreator = new SubScopesCreator();
220      UniformSubScopesProcessor ussp1 = new UniformSubScopesProcessor();
221      SolutionsCreator solutionsCreator = new SolutionsCreator();
222      IslandGeneticAlgorithmMainLoop mainLoop = new IslandGeneticAlgorithmMainLoop();
223      OperatorGraph.InitialOperator = randomCreator;
224
225      randomCreator.RandomParameter.ActualName = "Random";
226      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
227      randomCreator.SeedParameter.Value = null;
228      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
229      randomCreator.SetSeedRandomlyParameter.Value = null;
230      randomCreator.Successor = populationCreator;
231
232      populationCreator.NumberOfSubScopesParameter.ActualName = NumberOfIslandsParameter.Name;
233      populationCreator.Successor = ussp1;
234
235      ussp1.Operator = solutionsCreator;
236      ussp1.Successor = mainLoop;
237
238      solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
239      solutionsCreator.Successor = null;
240
241      mainLoop.EmigrantsSelectorParameter.ActualName = EmigrantsSelectorParameter.Name;
242      mainLoop.ImmigrationReplacerParameter.ActualName = ImmigrationReplacerParameter.Name;
243      mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
244      mainLoop.MigrationIntervalParameter.ActualName = MigrationIntervalParameter.Name;
245      mainLoop.MigrationRateParameter.ActualName = MigrationRateParameter.Name;
246      mainLoop.MigratorParameter.ActualName = MigratorParameter.Name;
247      mainLoop.NumberOfIslandsParameter.ActualName = NumberOfIslandsParameter.Name;
248      mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
249      mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
250      mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
251      mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
252      mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
253      mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
254      mainLoop.ResultsParameter.ActualName = "Results";
255      mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
256      mainLoop.IslandAnalyzerParameter.ActualName = IslandAnalyzerParameter.Name;
257      mainLoop.Successor = null;
258
259      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
260        SelectorParameter.ValidValues.Add(selector);
261      ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
262      if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
263
264      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
265        EmigrantsSelectorParameter.ValidValues.Add(selector);
266
267      foreach (IReplacer replacer in ApplicationManager.Manager.GetInstances<IReplacer>().OrderBy(x => x.Name))
268        ImmigrationReplacerParameter.ValidValues.Add(replacer);
269
270      ParameterizeSelectors();
271
272      foreach (IMigrator migrator in ApplicationManager.Manager.GetInstances<IMigrator>().OrderBy(x => x.Name))
273        MigratorParameter.ValidValues.Add(migrator);
274
275      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
276      islandQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
277      ParameterizeAnalyzers();
278      UpdateAnalyzers();
279
280      Initialize();
281    }
282
283    public override IDeepCloneable Clone(Cloner cloner) {
284      IslandGeneticAlgorithm clone = (IslandGeneticAlgorithm)base.Clone(cloner);
285      clone.islandQualityAnalyzer = (BestAverageWorstQualityAnalyzer)cloner.Clone(islandQualityAnalyzer);
286      clone.qualityAnalyzer = (BestAverageWorstQualityAnalyzer)cloner.Clone(qualityAnalyzer);
287      clone.Initialize();
288      return clone;
289    }
290
291    public override void Prepare() {
292      if (Problem != null) base.Prepare();
293    }
294
295    #region Events
296    protected override void OnProblemChanged() {
297      ParameterizeStochasticOperator(Problem.SolutionCreator);
298      ParameterizeStochasticOperator(Problem.Evaluator);
299      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
300      ParameterizeSolutionsCreator();
301      ParameterizeMainLoop();
302      ParameterizeSelectors();
303      ParameterizeAnalyzers();
304      ParameterizeIterationBasedOperators();
305      UpdateCrossovers();
306      UpdateMutators();
307      UpdateAnalyzers();
308      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
309      base.OnProblemChanged();
310    }
311
312    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
313      ParameterizeStochasticOperator(Problem.SolutionCreator);
314      ParameterizeSolutionsCreator();
315      base.Problem_SolutionCreatorChanged(sender, e);
316    }
317    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
318      ParameterizeStochasticOperator(Problem.Evaluator);
319      ParameterizeSolutionsCreator();
320      ParameterizeMainLoop();
321      ParameterizeSelectors();
322      ParameterizeAnalyzers();
323      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
324      base.Problem_EvaluatorChanged(sender, e);
325    }
326    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
327      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
328      ParameterizeIterationBasedOperators();
329      UpdateCrossovers();
330      UpdateMutators();
331      UpdateAnalyzers();
332      base.Problem_OperatorsChanged(sender, e);
333    }
334    private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
335      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
336      ParameterizeSelectors();
337    }
338    private void Elites_ValueChanged(object sender, EventArgs e) {
339      ParameterizeSelectors();
340    }
341    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
342      NumberOfIslands.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
343      ParameterizeSelectors();
344    }
345    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
346      ParameterizeSelectors();
347    }
348    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
349      ParameterizeMainLoop();
350      ParameterizeSelectors();
351      ParameterizeAnalyzers();
352    }
353    private void MigrationRateParameter_ValueChanged(object sender, EventArgs e) {
354      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
355      ParameterizeSelectors();
356    }
357    private void MigrationRate_ValueChanged(object sender, EventArgs e) {
358      ParameterizeSelectors();
359    }
360    #endregion
361
362    #region Helpers
363    [StorableHook(HookType.AfterDeserialization)]
364    private void Initialize() {
365      PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
366      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
367      MigrationRateParameter.ValueChanged += new EventHandler(MigrationRateParameter_ValueChanged);
368      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
369      ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
370      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
371      if (Problem != null) {
372        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
373      }
374    }
375    private void ParameterizeSolutionsCreator() {
376      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
377      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
378    }
379    private void ParameterizeMainLoop() {
380      MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
381      MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
382      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
383      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
384    }
385    private void ParameterizeStochasticOperator(IOperator op) {
386      if (op is IStochasticOperator)
387        ((IStochasticOperator)op).RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
388    }
389    private void ParameterizeSelectors() {
390      foreach (ISelector selector in SelectorParameter.ValidValues) {
391        selector.CopySelected = new BoolValue(true);
392        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize.Value - Elites.Value));
393        ParameterizeStochasticOperator(selector);
394      }
395      foreach (ISelector selector in EmigrantsSelectorParameter.ValidValues) {
396        selector.CopySelected = new BoolValue(true);
397        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue((int)Math.Ceiling(PopulationSize.Value * MigrationRate.Value));
398        ParameterizeStochasticOperator(selector);
399      }
400      foreach (IReplacer replacer in ImmigrationReplacerParameter.ValidValues) {
401        ParameterizeStochasticOperator(replacer);
402      }
403      if (Problem != null) {
404        foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
405          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
406          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
407        }
408        foreach (ISingleObjectiveSelector selector in EmigrantsSelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
409          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
410          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
411        }
412        foreach (ISingleObjectiveReplacer selector in ImmigrationReplacerParameter.ValidValues.OfType<ISingleObjectiveReplacer>()) {
413          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
414          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
415        }
416      }
417    }
418    private void ParameterizeAnalyzers() {
419      islandQualityAnalyzer.ResultsParameter.ActualName = "Results";
420      islandQualityAnalyzer.QualityParameter.Depth = 1;
421      qualityAnalyzer.ResultsParameter.ActualName = "Results";
422      qualityAnalyzer.QualityParameter.Depth = 2;
423
424      if (Problem != null) {
425        islandQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
426        islandQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
427        islandQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
428        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
429        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
430        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
431      }
432    }
433    private void ParameterizeIterationBasedOperators() {
434      if (Problem != null) {
435        foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
436          op.IterationsParameter.ActualName = "Generations";
437          op.MaximumIterationsParameter.ActualName = "MaximumGenerations";
438        }
439      }
440    }
441    private void UpdateCrossovers() {
442      ICrossover oldCrossover = CrossoverParameter.Value;
443      CrossoverParameter.ValidValues.Clear();
444      foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
445        CrossoverParameter.ValidValues.Add(crossover);
446      if (oldCrossover != null) {
447        ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
448        if (crossover != null) CrossoverParameter.Value = crossover;
449      }
450    }
451    private void UpdateMutators() {
452      IManipulator oldMutator = MutatorParameter.Value;
453      MutatorParameter.ValidValues.Clear();
454      foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
455        MutatorParameter.ValidValues.Add(mutator);
456      if (oldMutator != null) {
457        IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
458        if (mutator != null) MutatorParameter.Value = mutator;
459      }
460    }
461    private void UpdateAnalyzers() {
462      IslandAnalyzer.Operators.Clear();
463      Analyzer.Operators.Clear();
464      IslandAnalyzer.Operators.Add(islandQualityAnalyzer);
465      if (Problem != null) {
466        foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
467          foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
468            param.Depth = 2;
469          Analyzer.Operators.Add(analyzer);
470        }
471      }
472      Analyzer.Operators.Add(qualityAnalyzer);
473    }
474    #endregion
475  }
476}
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