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source: trunk/sources/HeuristicLab.Algorithms.GeneticAlgorithm/3.3/IslandGeneticAlgorithm.cs @ 6212

Last change on this file since 6212 was 6051, checked in by swagner, 14 years ago

Changed some more parameters to be hidden per default and corrected wrong layout in some parameter views (#1377)
File size: 26.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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    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<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    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<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 = "Random";
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      solutionsCreator.Successor = null;
259
260      variableCreator.Name = "Initialize EvaluatedSolutions";
261      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedSolutions", new IntValue()));
262      variableCreator.Successor = ussp2;
263
264      ussp2.Operator = subScopesCounter;
265      ussp2.Successor = resultsCollector;
266
267      subScopesCounter.Name = "Count EvaluatedSolutions";
268      subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
269      subScopesCounter.Successor = null;
270
271      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
272      resultsCollector.ResultsParameter.ActualName = "Results";
273      resultsCollector.Successor = mainLoop;
274
275      mainLoop.EmigrantsSelectorParameter.ActualName = EmigrantsSelectorParameter.Name;
276      mainLoop.ImmigrationReplacerParameter.ActualName = ImmigrationReplacerParameter.Name;
277      mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
278      mainLoop.MigrationIntervalParameter.ActualName = MigrationIntervalParameter.Name;
279      mainLoop.MigrationRateParameter.ActualName = MigrationRateParameter.Name;
280      mainLoop.MigratorParameter.ActualName = MigratorParameter.Name;
281      mainLoop.NumberOfIslandsParameter.ActualName = NumberOfIslandsParameter.Name;
282      mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
283      mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
284      mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
285      mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
286      mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
287      mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
288      mainLoop.ResultsParameter.ActualName = "Results";
289      mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
290      mainLoop.IslandAnalyzerParameter.ActualName = IslandAnalyzerParameter.Name;
291      mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
292      mainLoop.Successor = null;
293
294      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
295        SelectorParameter.ValidValues.Add(selector);
296      ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
297      if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
298
299      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
300        EmigrantsSelectorParameter.ValidValues.Add(selector);
301
302      foreach (IReplacer replacer in ApplicationManager.Manager.GetInstances<IReplacer>().OrderBy(x => x.Name))
303        ImmigrationReplacerParameter.ValidValues.Add(replacer);
304
305      ParameterizeSelectors();
306
307      foreach (IMigrator migrator in ApplicationManager.Manager.GetInstances<IMigrator>().OrderBy(x => x.Name))
308        MigratorParameter.ValidValues.Add(migrator);
309
310      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
311      islandQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
312      ParameterizeAnalyzers();
313      UpdateAnalyzers();
314
315      Initialize();
316    }
317
318    public override void Prepare() {
319      if (Problem != null) base.Prepare();
320    }
321
322    #region Events
323    protected override void OnProblemChanged() {
324      ParameterizeStochasticOperator(Problem.SolutionCreator);
325      ParameterizeStochasticOperator(Problem.Evaluator);
326      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
327      ParameterizeSolutionsCreator();
328      ParameterizeMainLoop();
329      ParameterizeSelectors();
330      ParameterizeAnalyzers();
331      ParameterizeIterationBasedOperators();
332      UpdateCrossovers();
333      UpdateMutators();
334      UpdateAnalyzers();
335      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
336      base.OnProblemChanged();
337    }
338
339    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
340      ParameterizeStochasticOperator(Problem.SolutionCreator);
341      ParameterizeSolutionsCreator();
342      base.Problem_SolutionCreatorChanged(sender, e);
343    }
344    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
345      ParameterizeStochasticOperator(Problem.Evaluator);
346      ParameterizeSolutionsCreator();
347      ParameterizeMainLoop();
348      ParameterizeSelectors();
349      ParameterizeAnalyzers();
350      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
351      base.Problem_EvaluatorChanged(sender, e);
352    }
353    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
354      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
355      ParameterizeIterationBasedOperators();
356      UpdateCrossovers();
357      UpdateMutators();
358      UpdateAnalyzers();
359      base.Problem_OperatorsChanged(sender, e);
360    }
361    private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
362      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
363      ParameterizeSelectors();
364    }
365    private void Elites_ValueChanged(object sender, EventArgs e) {
366      ParameterizeSelectors();
367    }
368    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
369      NumberOfIslands.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
370      ParameterizeSelectors();
371    }
372    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
373      ParameterizeSelectors();
374    }
375    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
376      ParameterizeMainLoop();
377      ParameterizeSelectors();
378      ParameterizeAnalyzers();
379    }
380    private void MigrationRateParameter_ValueChanged(object sender, EventArgs e) {
381      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
382      ParameterizeSelectors();
383    }
384    private void MigrationRate_ValueChanged(object sender, EventArgs e) {
385      ParameterizeSelectors();
386    }
387    #endregion
388
389    #region Helpers
390    private void Initialize() {
391      PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
392      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
393      MigrationRateParameter.ValueChanged += new EventHandler(MigrationRateParameter_ValueChanged);
394      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
395      ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
396      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
397      if (Problem != null) {
398        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
399      }
400    }
401    private void ParameterizeSolutionsCreator() {
402      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
403      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
404    }
405    private void ParameterizeMainLoop() {
406      MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
407      MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
408      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
409      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
410    }
411    private void ParameterizeStochasticOperator(IOperator op) {
412      IStochasticOperator stochasticOp = op as IStochasticOperator;
413      if (stochasticOp != null) {
414        stochasticOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
415        stochasticOp.RandomParameter.Hidden = true;
416      }
417    }
418    private void ParameterizeSelectors() {
419      foreach (ISelector selector in SelectorParameter.ValidValues) {
420        selector.CopySelected = new BoolValue(true);
421        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize.Value - Elites.Value));
422        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
423        ParameterizeStochasticOperator(selector);
424      }
425      foreach (ISelector selector in EmigrantsSelectorParameter.ValidValues) {
426        selector.CopySelected = new BoolValue(true);
427        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue((int)Math.Ceiling(PopulationSize.Value * MigrationRate.Value));
428        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
429        ParameterizeStochasticOperator(selector);
430      }
431      foreach (IReplacer replacer in ImmigrationReplacerParameter.ValidValues) {
432        ParameterizeStochasticOperator(replacer);
433      }
434      if (Problem != null) {
435        foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
436          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
437          selector.MaximizationParameter.Hidden = true;
438          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
439          selector.QualityParameter.Hidden = true;
440        }
441        foreach (ISingleObjectiveSelector selector in EmigrantsSelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
442          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
443          selector.MaximizationParameter.Hidden = true;
444          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
445          selector.QualityParameter.Hidden = true;
446        }
447        foreach (ISingleObjectiveReplacer selector in ImmigrationReplacerParameter.ValidValues.OfType<ISingleObjectiveReplacer>()) {
448          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
449          selector.MaximizationParameter.Hidden = true;
450          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
451          selector.QualityParameter.Hidden = true;
452        }
453      }
454    }
455    private void ParameterizeAnalyzers() {
456      islandQualityAnalyzer.ResultsParameter.ActualName = "Results";
457      islandQualityAnalyzer.ResultsParameter.Hidden = true;
458      islandQualityAnalyzer.QualityParameter.Depth = 1;
459      qualityAnalyzer.ResultsParameter.ActualName = "Results";
460      qualityAnalyzer.ResultsParameter.Hidden = true;
461      qualityAnalyzer.QualityParameter.Depth = 2;
462
463      if (Problem != null) {
464        islandQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
465        islandQualityAnalyzer.MaximizationParameter.Hidden = true;
466        islandQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
467        islandQualityAnalyzer.QualityParameter.Hidden = true;
468        islandQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
469        islandQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
470        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
471        qualityAnalyzer.MaximizationParameter.Hidden = true;
472        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
473        qualityAnalyzer.QualityParameter.Hidden = true;
474        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
475        qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
476      }
477    }
478    private void ParameterizeIterationBasedOperators() {
479      if (Problem != null) {
480        foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
481          op.IterationsParameter.ActualName = "Generations";
482          op.IterationsParameter.Hidden = true;
483          op.MaximumIterationsParameter.ActualName = "MaximumGenerations";
484          op.MaximumIterationsParameter.Hidden = true;
485        }
486      }
487    }
488    private void UpdateCrossovers() {
489      ICrossover oldCrossover = CrossoverParameter.Value;
490      CrossoverParameter.ValidValues.Clear();
491      foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
492        CrossoverParameter.ValidValues.Add(crossover);
493      if (oldCrossover != null) {
494        ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
495        if (crossover != null) CrossoverParameter.Value = crossover;
496      }
497    }
498    private void UpdateMutators() {
499      IManipulator oldMutator = MutatorParameter.Value;
500      MutatorParameter.ValidValues.Clear();
501      foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
502        MutatorParameter.ValidValues.Add(mutator);
503      if (oldMutator != null) {
504        IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
505        if (mutator != null) MutatorParameter.Value = mutator;
506      }
507    }
508    private void UpdateAnalyzers() {
509      IslandAnalyzer.Operators.Clear();
510      Analyzer.Operators.Clear();
511      IslandAnalyzer.Operators.Add(islandQualityAnalyzer);
512      if (Problem != null) {
513        foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
514          foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
515            param.Depth = 2;
516          Analyzer.Operators.Add(analyzer);
517        }
518      }
519      Analyzer.Operators.Add(qualityAnalyzer);
520    }
521    private IslandGeneticAlgorithmMainLoop FindMainLoop(IOperator start) {
522      IOperator mainLoop = start;
523      while (mainLoop != null && !(mainLoop is IslandGeneticAlgorithmMainLoop))
524        mainLoop = ((SingleSuccessorOperator)mainLoop).Successor;
525      if (mainLoop == null) return null;
526      else return (IslandGeneticAlgorithmMainLoop)mainLoop;
527    }
528    #endregion
529  }
530}
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