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source: trunk/sources/HeuristicLab.Algorithms.GeneticAlgorithm/3.3/IslandGeneticAlgorithm.cs @ 3396

Last change on this file since 3396 was 3376, checked in by swagner, 15 years ago

Moved interfaces and classes for deep cloning from HeuristicLab.Core to HeuristicLab.Common (#975).

File size: 24.1 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.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;
35using HeuristicLab.Selection;
36
37namespace HeuristicLab.Algorithms.GeneticAlgorithm {
38  /// <summary>
39  /// An island genetic algorithm.
40  /// </summary>
41  [Item("Island Genetic Algorithm", "An island genetic algorithm.")]
42  [Creatable("Algorithms")]
43  [StorableClass]
44  public sealed class IslandGeneticAlgorithm : EngineAlgorithm {
45
46    #region Problem Properties
47    public override Type ProblemType {
48      get { return typeof(ISingleObjectiveProblem); }
49    }
50    public new ISingleObjectiveProblem Problem {
51      get { return (ISingleObjectiveProblem)base.Problem; }
52      set { base.Problem = value; }
53    }
54    #endregion
55
56    #region Parameter Properties
57    private ValueParameter<IntValue> SeedParameter {
58      get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
59    }
60    private ValueParameter<BoolValue> SetSeedRandomlyParameter {
61      get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
62    }
63    private ValueParameter<IntValue> NumberOfIslandsParameter {
64      get { return (ValueParameter<IntValue>)Parameters["NumberOfIslands"]; }
65    }
66    private ValueParameter<IntValue> MigrationIntervalParameter {
67      get { return (ValueParameter<IntValue>)Parameters["MigrationInterval"]; }
68    }
69    private ValueParameter<PercentValue> MigrationRateParameter {
70      get { return (ValueParameter<PercentValue>)Parameters["MigrationRate"]; }
71    }
72    private ConstrainedValueParameter<IMigrator> MigratorParameter {
73      get { return (ConstrainedValueParameter<IMigrator>)Parameters["Migrator"]; }
74    }
75    private ConstrainedValueParameter<ISelector> EmigrantsSelectorParameter {
76      get { return (ConstrainedValueParameter<ISelector>)Parameters["EmigrantsSelector"]; }
77    }
78    private ConstrainedValueParameter<ISelector> ImmigrationSelectorParameter {
79      get { return (ConstrainedValueParameter<ISelector>)Parameters["ImmigrationSelector"]; }
80    }
81    private ValueParameter<IntValue> PopulationSizeParameter {
82      get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
83    }
84    private ValueParameter<IntValue> MaximumMigrationsParameter {
85      get { return (ValueParameter<IntValue>)Parameters["MaximumMigrations"]; }
86    }
87    private ConstrainedValueParameter<ISelector> SelectorParameter {
88      get { return (ConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
89    }
90    private ConstrainedValueParameter<ICrossover> CrossoverParameter {
91      get { return (ConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
92    }
93    private ValueParameter<PercentValue> MutationProbabilityParameter {
94      get { return (ValueParameter<PercentValue>)Parameters["MutationProbability"]; }
95    }
96    private OptionalConstrainedValueParameter<IManipulator> MutatorParameter {
97      get { return (OptionalConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
98    }
99    private ValueParameter<IntValue> ElitesParameter {
100      get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
101    }
102    private ValueParameter<BoolValue> ParallelParameter {
103      get { return (ValueParameter<BoolValue>)Parameters["Parallel"]; }
104    }
105    #endregion
106
107    #region Properties
108    public IntValue Seed {
109      get { return SeedParameter.Value; }
110      set { SeedParameter.Value = value; }
111    }
112    public BoolValue SetSeedRandomly {
113      get { return SetSeedRandomlyParameter.Value; }
114      set { SetSeedRandomlyParameter.Value = value; }
115    }
116    public IntValue NumberOfIslands {
117      get { return NumberOfIslandsParameter.Value; }
118      set { NumberOfIslandsParameter.Value = value; }
119    }
120    public IntValue MigrationInterval {
121      get { return MigrationIntervalParameter.Value; }
122      set { MigrationIntervalParameter.Value = value; }
123    }
124    public PercentValue MigrationRate {
125      get { return MigrationRateParameter.Value; }
126      set { MigrationRateParameter.Value = value; }
127    }
128    public IMigrator Migrator {
129      get { return MigratorParameter.Value; }
130      set { MigratorParameter.Value = value; }
131    }
132    public ISelector EmigrantsSelector {
133      get { return EmigrantsSelectorParameter.Value; }
134      set { EmigrantsSelectorParameter.Value = value; }
135    }
136    public ISelector ImmigrationSelector {
137      get { return ImmigrationSelectorParameter.Value; }
138      set { ImmigrationSelectorParameter.Value = value; }
139    }
140    public IntValue PopulationSize {
141      get { return PopulationSizeParameter.Value; }
142      set { PopulationSizeParameter.Value = value; }
143    }
144    public IntValue MaximumMigrations {
145      get { return MaximumMigrationsParameter.Value; }
146      set { MaximumMigrationsParameter.Value = value; }
147    }
148    public ISelector Selector {
149      get { return SelectorParameter.Value; }
150      set { SelectorParameter.Value = value; }
151    }
152    public ICrossover Crossover {
153      get { return CrossoverParameter.Value; }
154      set { CrossoverParameter.Value = value; }
155    }
156    public PercentValue MutationProbability {
157      get { return MutationProbabilityParameter.Value; }
158      set { MutationProbabilityParameter.Value = value; }
159    }
160    public IManipulator Mutator {
161      get { return MutatorParameter.Value; }
162      set { MutatorParameter.Value = value; }
163    }
164    public IntValue Elites {
165      get { return ElitesParameter.Value; }
166      set { ElitesParameter.Value = value; }
167    }
168    public BoolValue Parallel {
169      get { return ParallelParameter.Value; }
170      set { ParallelParameter.Value = value; }
171    }
172    private List<ISelector> selectors;
173    private IEnumerable<ISelector> Selectors {
174      get { return selectors; }
175    }
176    private List<ISelector> emigrantsSelectors;
177    private List<ISelector> immigrationSelectors;
178    private List<IMigrator> migrators;
179    private RandomCreator RandomCreator {
180      get { return (RandomCreator)OperatorGraph.InitialOperator; }
181    }
182    private SolutionsCreator SolutionsCreator {
183      get { return (SolutionsCreator)((RandomCreator.Successor as SubScopesCreator).Successor as UniformSubScopesProcessor).Operator; }
184    }
185    private IslandGeneticAlgorithmMainLoop MainLoop {
186      get { return (IslandGeneticAlgorithmMainLoop)((RandomCreator.Successor as SubScopesCreator).Successor as UniformSubScopesProcessor).Successor; }
187    }
188    #endregion
189
190    [StorableConstructor]
191    private IslandGeneticAlgorithm(bool deserializing) : base(deserializing) { }
192    public IslandGeneticAlgorithm()
193      : base() {
194      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
195      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
196      Parameters.Add(new ValueParameter<IntValue>("NumberOfIslands", "The number of islands.", new IntValue(5)));
197      Parameters.Add(new ValueParameter<IntValue>("MigrationInterval", "The number of generations that should pass between migration phases.", new IntValue(20)));
198      Parameters.Add(new ValueParameter<PercentValue>("MigrationRate", "The proportion of individuals that should migrate between the islands.", new PercentValue(0.15)));
199      Parameters.Add(new ConstrainedValueParameter<IMigrator>("Migrator", "The migration strategy."));
200      Parameters.Add(new ConstrainedValueParameter<ISelector>("EmigrantsSelector", "Selects the individuals that will be migrated."));
201      Parameters.Add(new ConstrainedValueParameter<ISelector>("ImmigrationSelector", "Selects the population from the unification of the original population and the immigrants."));
202      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
203      Parameters.Add(new ValueParameter<IntValue>("MaximumMigrations", "The maximum number of migrations that should occur.", new IntValue(100)));
204      Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
205      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
206      Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
207      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
208      Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
209      Parameters.Add(new ValueParameter<BoolValue>("Parallel", "True if the islands should be run in parallel (also requires a parallel engine)", new BoolValue(false)));
210
211      RandomCreator randomCreator = new RandomCreator();
212      SubScopesCreator populationCreator = new SubScopesCreator();
213      UniformSubScopesProcessor ussp1 = new UniformSubScopesProcessor();
214      SolutionsCreator solutionsCreator = new SolutionsCreator();
215      IslandGeneticAlgorithmMainLoop mainLoop = new IslandGeneticAlgorithmMainLoop();
216      OperatorGraph.InitialOperator = randomCreator;
217
218      randomCreator.RandomParameter.ActualName = "Random";
219      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
220      randomCreator.SeedParameter.Value = null;
221      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
222      randomCreator.SetSeedRandomlyParameter.Value = null;
223      randomCreator.Successor = populationCreator;
224
225      populationCreator.NumberOfSubScopesParameter.ActualName = NumberOfIslandsParameter.Name;
226      populationCreator.Successor = ussp1;
227
228      ussp1.Operator = solutionsCreator;
229      ussp1.Successor = mainLoop;
230
231      solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
232      solutionsCreator.Successor = null;
233
234      mainLoop.EmigrantsSelectorParameter.ActualName = EmigrantsSelectorParameter.Name;
235      mainLoop.ImmigrationSelectorParameter.ActualName = ImmigrationSelectorParameter.Name;
236      mainLoop.MaximumMigrationsParameter.ActualName = MaximumMigrationsParameter.Name;
237      mainLoop.MigrationIntervalParameter.ActualName = MigrationIntervalParameter.Name;
238      mainLoop.MigrationRateParameter.ActualName = MigrationRateParameter.Name;
239      mainLoop.MigratorParameter.ActualName = MigratorParameter.Name;
240      mainLoop.NumberOfIslandsParameter.ActualName = NumberOfIslandsParameter.Name;
241      mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
242      mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
243      mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
244      mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
245      mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
246      mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
247      mainLoop.ResultsParameter.ActualName = "Results";
248
249      mainLoop.Successor = null;
250
251      Initialize();
252    }
253
254    public override IDeepCloneable Clone(Cloner cloner) {
255      IslandGeneticAlgorithm clone = (IslandGeneticAlgorithm)base.Clone(cloner);
256      clone.Initialize();
257      return clone;
258    }
259
260    public override void Prepare() {
261      if (Problem != null) base.Prepare();
262    }
263
264    #region Events
265    protected override void OnProblemChanged() {
266      ParameterizeStochasticOperator(Problem.SolutionCreator);
267      ParameterizeStochasticOperator(Problem.Evaluator);
268      ParameterizeStochasticOperator(Problem.Visualizer);
269      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
270      ParameterizeSolutionsCreator();
271      ParameterizeMainLoop();
272      ParameterizeSelectors();
273      UpdateCrossovers();
274      UpdateMutators();
275      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
276      if (Problem.Visualizer != null) Problem.Visualizer.VisualizationParameter.ActualNameChanged += new EventHandler(Visualizer_VisualizationParameter_ActualNameChanged);
277      base.OnProblemChanged();
278    }
279
280    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
281      ParameterizeStochasticOperator(Problem.SolutionCreator);
282      ParameterizeSolutionsCreator();
283      base.Problem_SolutionCreatorChanged(sender, e);
284    }
285    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
286      ParameterizeStochasticOperator(Problem.Evaluator);
287      ParameterizeSolutionsCreator();
288      ParameterizeMainLoop();
289      ParameterizeSelectors();
290      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
291      base.Problem_EvaluatorChanged(sender, e);
292    }
293    protected override void Problem_VisualizerChanged(object sender, EventArgs e) {
294      ParameterizeStochasticOperator(Problem.Visualizer);
295      ParameterizeMainLoop();
296      if (Problem.Visualizer != null) Problem.Visualizer.VisualizationParameter.ActualNameChanged += new EventHandler(Visualizer_VisualizationParameter_ActualNameChanged);
297      base.Problem_VisualizerChanged(sender, e);
298    }
299    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
300      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
301      UpdateCrossovers();
302      UpdateMutators();
303      base.Problem_OperatorsChanged(sender, e);
304    }
305    private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
306      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
307      ParameterizeSelectors();
308    }
309    private void Elites_ValueChanged(object sender, EventArgs e) {
310      ParameterizeSelectors();
311    }
312    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
313      NumberOfIslands.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
314      ParameterizeSelectors();
315    }
316    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
317      ParameterizeSelectors();
318    }
319    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
320      ParameterizeMainLoop();
321      ParameterizeSelectors();
322    }
323    private void Visualizer_VisualizationParameter_ActualNameChanged(object sender, EventArgs e) {
324      ParameterizeMainLoop();
325    }
326    private void MigrationRateParameter_ValueChanged(object sender, EventArgs e) {
327      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
328      ParameterizeSelectors();
329    }
330    private void MigrationRate_ValueChanged(object sender, EventArgs e) {
331      ParameterizeSelectors();
332    }
333    #endregion
334
335    #region Helpers
336    [StorableHook(HookType.AfterDeserialization)]
337    private void Initialize() {
338      InitializeSelectors();
339      UpdateSelectors();
340      InitializeMigrators();
341      UpdateMigrators();
342      PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
343      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
344      MigrationRateParameter.ValueChanged += new EventHandler(MigrationRateParameter_ValueChanged);
345      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
346      ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
347      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
348      if (Problem != null) {
349        UpdateCrossovers();
350        UpdateMutators();
351        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
352        if (Problem.Visualizer != null) Problem.Visualizer.VisualizationParameter.ActualNameChanged += new EventHandler(Visualizer_VisualizationParameter_ActualNameChanged);
353      }
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      MainLoop.VisualizerParameter.ActualName = Problem.VisualizerParameter.Name;
365      if (Problem.Visualizer != null)
366        MainLoop.VisualizationParameter.ActualName = Problem.Visualizer.VisualizationParameter.ActualName;
367    }
368    private void ParameterizeStochasticOperator(IOperator op) {
369      if (op is IStochasticOperator)
370        ((IStochasticOperator)op).RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
371    }
372    private void InitializeSelectors() {
373      selectors = new List<ISelector>();
374      selectors.AddRange(ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name));
375      emigrantsSelectors = new List<ISelector>();
376      emigrantsSelectors.AddRange(ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name));
377      immigrationSelectors = new List<ISelector>();
378      immigrationSelectors.AddRange(ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name));
379      ParameterizeSelectors();
380    }
381    private void InitializeMigrators() {
382      migrators = new List<IMigrator>();
383      migrators.AddRange(ApplicationManager.Manager.GetInstances<IMigrator>().OrderBy(x => x.Name));
384      UpdateMigrators();
385    }
386    private void ParameterizeSelectors() {
387      foreach (ISelector selector in Selectors) {
388        selector.CopySelected = new BoolValue(true);
389        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize.Value - Elites.Value));
390        ParameterizeStochasticOperator(selector);
391      }
392      foreach (ISelector selector in emigrantsSelectors) {
393        selector.CopySelected = new BoolValue(true);
394        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue((int)Math.Ceiling(PopulationSize.Value * MigrationRate.Value));
395        ParameterizeStochasticOperator(selector);
396      }
397      foreach (ISelector selector in immigrationSelectors) {
398        selector.CopySelected = new BoolValue(false);
399        selector.NumberOfSelectedSubScopesParameter.Value = PopulationSize;
400        ParameterizeStochasticOperator(selector);
401      }
402      if (Problem != null) {
403        foreach (ISingleObjectiveSelector selector in Selectors.OfType<ISingleObjectiveSelector>()) {
404          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
405          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
406        }
407        foreach (ISingleObjectiveSelector selector in emigrantsSelectors.OfType<ISingleObjectiveSelector>()) {
408          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
409          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
410        }
411        foreach (ISingleObjectiveSelector selector in immigrationSelectors.OfType<ISingleObjectiveSelector>()) {
412          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
413          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
414        }
415      }
416    }
417    private void UpdateSelectors() {
418      ISelector oldSelector = SelectorParameter.Value;
419      SelectorParameter.ValidValues.Clear();
420      foreach (ISelector selector in Selectors.OrderBy(x => x.Name))
421        SelectorParameter.ValidValues.Add(selector);
422
423      ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
424      if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
425
426      if (oldSelector != null) {
427        ISelector selector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
428        if (selector != null) SelectorParameter.Value = selector;
429      }
430
431      oldSelector = EmigrantsSelector;
432      EmigrantsSelectorParameter.ValidValues.Clear();
433      foreach (ISelector selector in emigrantsSelectors)
434        EmigrantsSelectorParameter.ValidValues.Add(selector);
435      if (oldSelector != null) {
436        ISelector selector = EmigrantsSelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
437        if (selector != null) EmigrantsSelectorParameter.Value = selector;
438      }
439
440      oldSelector = ImmigrationSelectorParameter.Value;
441      ImmigrationSelectorParameter.ValidValues.Clear();
442      foreach (ISelector selector in immigrationSelectors)
443        ImmigrationSelectorParameter.ValidValues.Add(selector);
444      if (oldSelector != null) {
445        ISelector selector = ImmigrationSelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
446        if (selector != null) ImmigrationSelectorParameter.Value = selector;
447      }
448    }
449    private void UpdateMigrators() {
450      IMigrator oldMigrator = Migrator;
451      MigratorParameter.ValidValues.Clear();
452      foreach (IMigrator migrator in migrators)
453        MigratorParameter.ValidValues.Add(migrator);
454      if (oldMigrator != null) {
455        IMigrator migrator = MigratorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMigrator.GetType());
456        if (migrator != null) MigratorParameter.Value = migrator;
457      } else if (MigratorParameter.ValidValues.Count > 0) MigratorParameter.Value = MigratorParameter.ValidValues.First();
458    }
459    private void UpdateCrossovers() {
460      ICrossover oldCrossover = CrossoverParameter.Value;
461      CrossoverParameter.ValidValues.Clear();
462      foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
463        CrossoverParameter.ValidValues.Add(crossover);
464      if (oldCrossover != null) {
465        ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
466        if (crossover != null) CrossoverParameter.Value = crossover;
467      }
468    }
469    private void UpdateMutators() {
470      IManipulator oldMutator = MutatorParameter.Value;
471      MutatorParameter.ValidValues.Clear();
472      foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
473        MutatorParameter.ValidValues.Add(mutator);
474      if (oldMutator != null) {
475        IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
476        if (mutator != null) MutatorParameter.Value = mutator;
477      }
478    }
479    #endregion
480  }
481}
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