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source: branches/HiveHiveEngine/HeuristicLab.Algorithms.GeneticAlgorithm/3.3/IslandGeneticAlgorithm.cs @ 12448

Last change on this file since 12448 was 7401, checked in by ascheibe, 13 years ago

#1744 updated branch from trunk
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 : HeuristicOptimizationEngineAlgorithm, IStorableContent {
44    public string Filename { get; set; }
45
46    #region Problem Properties
47    public override Type ProblemType {
48      get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
49    }
50    public new ISingleObjectiveHeuristicOptimizationProblem Problem {
51      get { return (ISingleObjectiveHeuristicOptimizationProblem)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    public ConstrainedValueParameter<IMigrator> MigratorParameter {
73      get { return (ConstrainedValueParameter<IMigrator>)Parameters["Migrator"]; }
74    }
75    public ConstrainedValueParameter<ISelector> EmigrantsSelectorParameter {
76      get { return (ConstrainedValueParameter<ISelector>)Parameters["EmigrantsSelector"]; }
77    }
78    public ConstrainedValueParameter<IReplacer> ImmigrationReplacerParameter {
79      get { return (ConstrainedValueParameter<IReplacer>)Parameters["ImmigrationReplacer"]; }
80    }
81    private ValueParameter<IntValue> PopulationSizeParameter {
82      get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
83    }
84    private ValueParameter<IntValue> MaximumGenerationsParameter {
85      get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
86    }
87    public ConstrainedValueParameter<ISelector> SelectorParameter {
88      get { return (ConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
89    }
90    public 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    public 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<MultiAnalyzer> AnalyzerParameter {
103      get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
104    }
105    private ValueParameter<MultiAnalyzer> IslandAnalyzerParameter {
106      get { return (ValueParameter<MultiAnalyzer>)Parameters["IslandAnalyzer"]; }
107    }
108    #endregion
109
110    #region Properties
111    public IntValue Seed {
112      get { return SeedParameter.Value; }
113      set { SeedParameter.Value = value; }
114    }
115    public BoolValue SetSeedRandomly {
116      get { return SetSeedRandomlyParameter.Value; }
117      set { SetSeedRandomlyParameter.Value = value; }
118    }
119    public IntValue NumberOfIslands {
120      get { return NumberOfIslandsParameter.Value; }
121      set { NumberOfIslandsParameter.Value = value; }
122    }
123    public IntValue MigrationInterval {
124      get { return MigrationIntervalParameter.Value; }
125      set { MigrationIntervalParameter.Value = value; }
126    }
127    public PercentValue MigrationRate {
128      get { return MigrationRateParameter.Value; }
129      set { MigrationRateParameter.Value = value; }
130    }
131    public IMigrator Migrator {
132      get { return MigratorParameter.Value; }
133      set { MigratorParameter.Value = value; }
134    }
135    public ISelector EmigrantsSelector {
136      get { return EmigrantsSelectorParameter.Value; }
137      set { EmigrantsSelectorParameter.Value = value; }
138    }
139    public IReplacer ImmigrationReplacer {
140      get { return ImmigrationReplacerParameter.Value; }
141      set { ImmigrationReplacerParameter.Value = value; }
142    }
143    public IntValue PopulationSize {
144      get { return PopulationSizeParameter.Value; }
145      set { PopulationSizeParameter.Value = value; }
146    }
147    public IntValue MaximumGenerations {
148      get { return MaximumGenerationsParameter.Value; }
149      set { MaximumGenerationsParameter.Value = value; }
150    }
151    public ISelector Selector {
152      get { return SelectorParameter.Value; }
153      set { SelectorParameter.Value = value; }
154    }
155    public ICrossover Crossover {
156      get { return CrossoverParameter.Value; }
157      set { CrossoverParameter.Value = value; }
158    }
159    public PercentValue MutationProbability {
160      get { return MutationProbabilityParameter.Value; }
161      set { MutationProbabilityParameter.Value = value; }
162    }
163    public IManipulator Mutator {
164      get { return MutatorParameter.Value; }
165      set { MutatorParameter.Value = value; }
166    }
167    public IntValue Elites {
168      get { return ElitesParameter.Value; }
169      set { ElitesParameter.Value = value; }
170    }
171    public MultiAnalyzer Analyzer {
172      get { return AnalyzerParameter.Value; }
173      set { AnalyzerParameter.Value = value; }
174    }
175    public MultiAnalyzer IslandAnalyzer {
176      get { return IslandAnalyzerParameter.Value; }
177      set { IslandAnalyzerParameter.Value = value; }
178    }
179    private RandomCreator RandomCreator {
180      get { return (RandomCreator)OperatorGraph.InitialOperator; }
181    }
182    private UniformSubScopesProcessor IslandProcessor {
183      get { return ((RandomCreator.Successor as SubScopesCreator).Successor as UniformSubScopesProcessor); }
184    }
185    private SolutionsCreator SolutionsCreator {
186      get { return (SolutionsCreator)IslandProcessor.Operator; }
187    }
188    private IslandGeneticAlgorithmMainLoop MainLoop {
189      get { return FindMainLoop(IslandProcessor.Successor); }
190    }
191    [Storable]
192    private BestAverageWorstQualityAnalyzer islandQualityAnalyzer;
193    [Storable]
194    private BestAverageWorstQualityAnalyzer qualityAnalyzer;
195    #endregion
196
197    [StorableConstructor]
198    private IslandGeneticAlgorithm(bool deserializing) : base(deserializing) { }
199    [StorableHook(HookType.AfterDeserialization)]
200    private void AfterDeserialization() {
201      Initialize();
202    }
203    private IslandGeneticAlgorithm(IslandGeneticAlgorithm original, Cloner cloner)
204      : base(original, cloner) {
205      islandQualityAnalyzer = cloner.Clone(original.islandQualityAnalyzer);
206      qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
207      Initialize();
208    }
209    public override IDeepCloneable Clone(Cloner cloner) {
210      return new IslandGeneticAlgorithm(this, cloner);
211    }
212
213    public IslandGeneticAlgorithm()
214      : base() {
215      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
216      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
217      Parameters.Add(new ValueParameter<IntValue>("NumberOfIslands", "The number of islands.", new IntValue(5)));
218      Parameters.Add(new ValueParameter<IntValue>("MigrationInterval", "The number of generations that should pass between migration phases.", new IntValue(20)));
219      Parameters.Add(new ValueParameter<PercentValue>("MigrationRate", "The proportion of individuals that should migrate between the islands.", new PercentValue(0.15)));
220      Parameters.Add(new ConstrainedValueParameter<IMigrator>("Migrator", "The migration strategy."));
221      Parameters.Add(new ConstrainedValueParameter<ISelector>("EmigrantsSelector", "Selects the individuals that will be migrated."));
222      Parameters.Add(new ConstrainedValueParameter<IReplacer>("ImmigrationReplacer", "Selects the population from the unification of the original population and the immigrants."));
223      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
224      Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations that should be processed.", new IntValue(1000)));
225      Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
226      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
227      Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
228      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
229      Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
230      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
231      Parameters.Add(new ValueParameter<MultiAnalyzer>("IslandAnalyzer", "The operator used to analyze each island.", new MultiAnalyzer()));
232
233      RandomCreator randomCreator = new RandomCreator();
234      SubScopesCreator populationCreator = new SubScopesCreator();
235      UniformSubScopesProcessor ussp1 = new UniformSubScopesProcessor();
236      SolutionsCreator solutionsCreator = new SolutionsCreator();
237      VariableCreator variableCreator = new VariableCreator();
238      UniformSubScopesProcessor ussp2 = new UniformSubScopesProcessor();
239      SubScopesCounter subScopesCounter = new SubScopesCounter();
240      ResultsCollector resultsCollector = new ResultsCollector();
241      IslandGeneticAlgorithmMainLoop mainLoop = new IslandGeneticAlgorithmMainLoop();
242      OperatorGraph.InitialOperator = randomCreator;
243
244      randomCreator.RandomParameter.ActualName = "GlobalRandom";
245      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
246      randomCreator.SeedParameter.Value = null;
247      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
248      randomCreator.SetSeedRandomlyParameter.Value = null;
249      randomCreator.Successor = populationCreator;
250
251      populationCreator.NumberOfSubScopesParameter.ActualName = NumberOfIslandsParameter.Name;
252      populationCreator.Successor = ussp1;
253
254      ussp1.Operator = solutionsCreator;
255      ussp1.Successor = variableCreator;
256
257      solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
258      //don't create solutions in parallel because the hive engine would distribute these tasks
259      solutionsCreator.ParallelParameter.Value = new BoolValue(false);
260      solutionsCreator.Successor = null;
261
262      variableCreator.Name = "Initialize EvaluatedSolutions";
263      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedSolutions", new IntValue()));
264      variableCreator.Successor = ussp2;
265
266      ussp2.Operator = subScopesCounter;
267      ussp2.Successor = resultsCollector;
268
269      subScopesCounter.Name = "Count EvaluatedSolutions";
270      subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
271      subScopesCounter.Successor = null;
272
273      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
274      resultsCollector.ResultsParameter.ActualName = "Results";
275      resultsCollector.Successor = mainLoop;
276
277      mainLoop.EmigrantsSelectorParameter.ActualName = EmigrantsSelectorParameter.Name;
278      mainLoop.ImmigrationReplacerParameter.ActualName = ImmigrationReplacerParameter.Name;
279      mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
280      mainLoop.MigrationIntervalParameter.ActualName = MigrationIntervalParameter.Name;
281      mainLoop.MigrationRateParameter.ActualName = MigrationRateParameter.Name;
282      mainLoop.MigratorParameter.ActualName = MigratorParameter.Name;
283      mainLoop.NumberOfIslandsParameter.ActualName = NumberOfIslandsParameter.Name;
284      mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
285      mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
286      mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
287      mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
288      mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
289      mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
290      mainLoop.ResultsParameter.ActualName = "Results";
291      mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
292      mainLoop.IslandAnalyzerParameter.ActualName = IslandAnalyzerParameter.Name;
293      mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
294      mainLoop.Successor = null;
295
296      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
297        SelectorParameter.ValidValues.Add(selector);
298      ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
299      if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
300
301      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
302        EmigrantsSelectorParameter.ValidValues.Add(selector);
303
304      foreach (IReplacer replacer in ApplicationManager.Manager.GetInstances<IReplacer>().OrderBy(x => x.Name))
305        ImmigrationReplacerParameter.ValidValues.Add(replacer);
306
307      ParameterizeSelectors();
308
309      foreach (IMigrator migrator in ApplicationManager.Manager.GetInstances<IMigrator>().OrderBy(x => x.Name))
310        MigratorParameter.ValidValues.Add(migrator);
311
312      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
313      islandQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
314      ParameterizeAnalyzers();
315      UpdateAnalyzers();
316
317      Initialize();
318    }
319
320    public override void Prepare() {
321      if (Problem != null) base.Prepare();
322    }
323
324    #region Events
325    protected override void OnProblemChanged() {
326      ParameterizeStochasticOperator(Problem.SolutionCreator);
327      ParameterizeStochasticOperator(Problem.Evaluator);
328      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
329      ParameterizeSolutionsCreator();
330      ParameterizeMainLoop();
331      ParameterizeSelectors();
332      ParameterizeAnalyzers();
333      ParameterizeIterationBasedOperators();
334      UpdateCrossovers();
335      UpdateMutators();
336      UpdateAnalyzers();
337      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
338      base.OnProblemChanged();
339    }
340
341    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
342      ParameterizeStochasticOperator(Problem.SolutionCreator);
343      ParameterizeSolutionsCreator();
344      base.Problem_SolutionCreatorChanged(sender, e);
345    }
346    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
347      ParameterizeStochasticOperator(Problem.Evaluator);
348      ParameterizeSolutionsCreator();
349      ParameterizeMainLoop();
350      ParameterizeSelectors();
351      ParameterizeAnalyzers();
352      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
353      base.Problem_EvaluatorChanged(sender, e);
354    }
355    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
356      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
357      ParameterizeIterationBasedOperators();
358      UpdateCrossovers();
359      UpdateMutators();
360      UpdateAnalyzers();
361      base.Problem_OperatorsChanged(sender, e);
362    }
363    private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
364      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
365      ParameterizeSelectors();
366    }
367    private void Elites_ValueChanged(object sender, EventArgs e) {
368      ParameterizeSelectors();
369    }
370    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
371      NumberOfIslands.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
372      ParameterizeSelectors();
373    }
374    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
375      ParameterizeSelectors();
376    }
377    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
378      ParameterizeMainLoop();
379      ParameterizeSelectors();
380      ParameterizeAnalyzers();
381    }
382    private void MigrationRateParameter_ValueChanged(object sender, EventArgs e) {
383      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
384      ParameterizeSelectors();
385    }
386    private void MigrationRate_ValueChanged(object sender, EventArgs e) {
387      ParameterizeSelectors();
388    }
389    #endregion
390
391    #region Helpers
392    private void Initialize() {
393      PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
394      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
395      MigrationRateParameter.ValueChanged += new EventHandler(MigrationRateParameter_ValueChanged);
396      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
397      ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
398      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
399      if (Problem != null) {
400        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
401      }
402    }
403    private void ParameterizeSolutionsCreator() {
404      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
405      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
406    }
407    private void ParameterizeMainLoop() {
408      MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
409      MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
410      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
411      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
412    }
413    private void ParameterizeStochasticOperator(IOperator op) {
414      IStochasticOperator stochasticOp = op as IStochasticOperator;
415      if (stochasticOp != null) {
416        stochasticOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
417        stochasticOp.RandomParameter.Hidden = true;
418      }
419    }
420    private void ParameterizeStochasticOperatorForIsland(IOperator op) {
421      IStochasticOperator stochasticOp = op as IStochasticOperator;
422      if (stochasticOp != null) {
423        stochasticOp.RandomParameter.ActualName = "LocalRandom";
424        stochasticOp.RandomParameter.Hidden = true;
425      }
426    }
427    private void ParameterizeSelectors() {
428      foreach (ISelector selector in SelectorParameter.ValidValues) {
429        selector.CopySelected = new BoolValue(true);
430        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize.Value - Elites.Value));
431        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
432        ParameterizeStochasticOperatorForIsland(selector);
433      }
434      foreach (ISelector selector in EmigrantsSelectorParameter.ValidValues) {
435        selector.CopySelected = new BoolValue(true);
436        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue((int)Math.Ceiling(PopulationSize.Value * MigrationRate.Value));
437        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
438        ParameterizeStochasticOperator(selector);
439      }
440      foreach (IReplacer replacer in ImmigrationReplacerParameter.ValidValues) {
441        ParameterizeStochasticOperator(replacer);
442      }
443      if (Problem != null) {
444        foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
445          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
446          selector.MaximizationParameter.Hidden = true;
447          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
448          selector.QualityParameter.Hidden = true;
449        }
450        foreach (ISingleObjectiveSelector selector in EmigrantsSelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
451          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
452          selector.MaximizationParameter.Hidden = true;
453          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
454          selector.QualityParameter.Hidden = true;
455        }
456        foreach (ISingleObjectiveReplacer selector in ImmigrationReplacerParameter.ValidValues.OfType<ISingleObjectiveReplacer>()) {
457          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
458          selector.MaximizationParameter.Hidden = true;
459          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
460          selector.QualityParameter.Hidden = true;
461        }
462      }
463    }
464    private void ParameterizeAnalyzers() {
465      islandQualityAnalyzer.ResultsParameter.ActualName = "Results";
466      islandQualityAnalyzer.ResultsParameter.Hidden = true;
467      islandQualityAnalyzer.QualityParameter.Depth = 1;
468      qualityAnalyzer.ResultsParameter.ActualName = "Results";
469      qualityAnalyzer.ResultsParameter.Hidden = true;
470      qualityAnalyzer.QualityParameter.Depth = 2;
471
472      if (Problem != null) {
473        islandQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
474        islandQualityAnalyzer.MaximizationParameter.Hidden = true;
475        islandQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
476        islandQualityAnalyzer.QualityParameter.Hidden = true;
477        islandQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
478        islandQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
479        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
480        qualityAnalyzer.MaximizationParameter.Hidden = true;
481        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
482        qualityAnalyzer.QualityParameter.Hidden = true;
483        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
484        qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
485      }
486    }
487    private void ParameterizeIterationBasedOperators() {
488      if (Problem != null) {
489        foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
490          op.IterationsParameter.ActualName = "Generations";
491          op.IterationsParameter.Hidden = true;
492          op.MaximumIterationsParameter.ActualName = "MaximumGenerations";
493          op.MaximumIterationsParameter.Hidden = true;
494        }
495      }
496    }
497    private void UpdateCrossovers() {
498      ICrossover oldCrossover = CrossoverParameter.Value;
499      CrossoverParameter.ValidValues.Clear();
500      foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name)) {
501        ParameterizeStochasticOperatorForIsland(crossover);
502        CrossoverParameter.ValidValues.Add(crossover);
503      }
504      if (oldCrossover != null) {
505        ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
506        if (crossover != null) CrossoverParameter.Value = crossover;
507      }
508    }
509    private void UpdateMutators() {
510      IManipulator oldMutator = MutatorParameter.Value;
511      MutatorParameter.ValidValues.Clear();
512      foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name)) {
513        ParameterizeStochasticOperatorForIsland(mutator);
514        MutatorParameter.ValidValues.Add(mutator);
515      }
516      if (oldMutator != null) {
517        IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
518        if (mutator != null) MutatorParameter.Value = mutator;
519      }
520    }
521    private void UpdateAnalyzers() {
522      IslandAnalyzer.Operators.Clear();
523      Analyzer.Operators.Clear();
524      IslandAnalyzer.Operators.Add(islandQualityAnalyzer, islandQualityAnalyzer.EnabledByDefault);
525      if (Problem != null) {
526        foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
527          foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
528            param.Depth = 2;
529          Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
530        }
531      }
532      Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
533    }
534    private IslandGeneticAlgorithmMainLoop FindMainLoop(IOperator start) {
535      IOperator mainLoop = start;
536      while (mainLoop != null && !(mainLoop is IslandGeneticAlgorithmMainLoop))
537        mainLoop = ((SingleSuccessorOperator)mainLoop).Successor;
538      if (mainLoop == null) return null;
539      else return (IslandGeneticAlgorithmMainLoop)mainLoop;
540    }
541    #endregion
542  }
543}
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