source: branches/DataAnalysis.IslandAlgorithms/HeuristicLab.Algorithms.GeneticAlgorithm/3.3/IslandGeneticAlgorithm.cs @ 9756

Last change on this file since 9756 was 9756, checked in by mkommend, 7 years ago

#1997: Merged trunk changes in data analysis island GA branch.

File size: 29.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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 IConstrainedValueParameter<IMigrator> MigratorParameter {
73      get { return (IConstrainedValueParameter<IMigrator>)Parameters["Migrator"]; }
74    }
75    public IConstrainedValueParameter<ISelector> EmigrantsSelectorParameter {
76      get { return (IConstrainedValueParameter<ISelector>)Parameters["EmigrantsSelector"]; }
77    }
78    public IConstrainedValueParameter<IReplacer> ImmigrationReplacerParameter {
79      get { return (IConstrainedValueParameter<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 IConstrainedValueParameter<ISelector> SelectorParameter {
88      get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
89    }
90    public IConstrainedValueParameter<ICrossover> CrossoverParameter {
91      get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
92    }
93    private ValueParameter<PercentValue> MutationProbabilityParameter {
94      get { return (ValueParameter<PercentValue>)Parameters["MutationProbability"]; }
95    }
96    public IConstrainedValueParameter<IManipulator> MutatorParameter {
97      get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
98    }
99    private ValueParameter<IntValue> ElitesParameter {
100      get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
101    }
102    private IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
103      get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
104    }
105    private ValueParameter<MultiAnalyzer> AnalyzerParameter {
106      get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
107    }
108    private ValueParameter<MultiAnalyzer> IslandAnalyzerParameter {
109      get { return (ValueParameter<MultiAnalyzer>)Parameters["IslandAnalyzer"]; }
110    }
111    #endregion
112
113    #region Properties
114    public IntValue Seed {
115      get { return SeedParameter.Value; }
116      set { SeedParameter.Value = value; }
117    }
118    public BoolValue SetSeedRandomly {
119      get { return SetSeedRandomlyParameter.Value; }
120      set { SetSeedRandomlyParameter.Value = value; }
121    }
122    public IntValue NumberOfIslands {
123      get { return NumberOfIslandsParameter.Value; }
124      set { NumberOfIslandsParameter.Value = value; }
125    }
126    public IntValue MigrationInterval {
127      get { return MigrationIntervalParameter.Value; }
128      set { MigrationIntervalParameter.Value = value; }
129    }
130    public PercentValue MigrationRate {
131      get { return MigrationRateParameter.Value; }
132      set { MigrationRateParameter.Value = value; }
133    }
134    public IMigrator Migrator {
135      get { return MigratorParameter.Value; }
136      set { MigratorParameter.Value = value; }
137    }
138    public ISelector EmigrantsSelector {
139      get { return EmigrantsSelectorParameter.Value; }
140      set { EmigrantsSelectorParameter.Value = value; }
141    }
142    public IReplacer ImmigrationReplacer {
143      get { return ImmigrationReplacerParameter.Value; }
144      set { ImmigrationReplacerParameter.Value = value; }
145    }
146    public IntValue PopulationSize {
147      get { return PopulationSizeParameter.Value; }
148      set { PopulationSizeParameter.Value = value; }
149    }
150    public IntValue MaximumGenerations {
151      get { return MaximumGenerationsParameter.Value; }
152      set { MaximumGenerationsParameter.Value = value; }
153    }
154    public ISelector Selector {
155      get { return SelectorParameter.Value; }
156      set { SelectorParameter.Value = value; }
157    }
158    public ICrossover Crossover {
159      get { return CrossoverParameter.Value; }
160      set { CrossoverParameter.Value = value; }
161    }
162    public PercentValue MutationProbability {
163      get { return MutationProbabilityParameter.Value; }
164      set { MutationProbabilityParameter.Value = value; }
165    }
166    public IManipulator Mutator {
167      get { return MutatorParameter.Value; }
168      set { MutatorParameter.Value = value; }
169    }
170    public IntValue Elites {
171      get { return ElitesParameter.Value; }
172      set { ElitesParameter.Value = value; }
173    }
174    public bool ReevaluteElites {
175      get { return ReevaluateElitesParameter.Value.Value; }
176      set { ReevaluateElitesParameter.Value.Value = value; }
177    }
178    public MultiAnalyzer Analyzer {
179      get { return AnalyzerParameter.Value; }
180      set { AnalyzerParameter.Value = value; }
181    }
182    public MultiAnalyzer IslandAnalyzer {
183      get { return IslandAnalyzerParameter.Value; }
184      set { IslandAnalyzerParameter.Value = value; }
185    }
186    private RandomCreator RandomCreator {
187      get { return (RandomCreator)OperatorGraph.InitialOperator; }
188    }
189    private UniformSubScopesProcessor IslandProcessor {
190      get { return OperatorGraph.Iterate().OfType<UniformSubScopesProcessor>().First(x => x.Operator is SolutionsCreator); }
191    }
192    private SolutionsCreator SolutionsCreator {
193      get { return (SolutionsCreator)IslandProcessor.Operator; }
194    }
195    private IslandGeneticAlgorithmMainLoop MainLoop {
196      get { return FindMainLoop(IslandProcessor.Successor); }
197    }
198    [Storable]
199    private BestAverageWorstQualityAnalyzer islandQualityAnalyzer;
200    [Storable]
201    private BestAverageWorstQualityAnalyzer qualityAnalyzer;
202    #endregion
203
204    [StorableConstructor]
205    private IslandGeneticAlgorithm(bool deserializing) : base(deserializing) { }
206    [StorableHook(HookType.AfterDeserialization)]
207    private void AfterDeserialization() {
208      // BackwardsCompatibility3.3
209      #region Backwards compatible code, remove with 3.4
210      if (!Parameters.ContainsKey("ReevaluateElites")) {
211        Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", (BoolValue)new BoolValue(false).AsReadOnly()) { Hidden = true });
212      }
213      #endregion
214
215      Initialize();
216    }
217    private IslandGeneticAlgorithm(IslandGeneticAlgorithm original, Cloner cloner)
218      : base(original, cloner) {
219      islandQualityAnalyzer = cloner.Clone(original.islandQualityAnalyzer);
220      qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
221      Initialize();
222    }
223    public override IDeepCloneable Clone(Cloner cloner) {
224      return new IslandGeneticAlgorithm(this, cloner);
225    }
226
227    public IslandGeneticAlgorithm()
228      : base() {
229      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
230      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
231      Parameters.Add(new ValueParameter<IntValue>("NumberOfIslands", "The number of islands.", new IntValue(5)));
232      Parameters.Add(new ValueParameter<IntValue>("MigrationInterval", "The number of generations that should pass between migration phases.", new IntValue(20)));
233      Parameters.Add(new ValueParameter<PercentValue>("MigrationRate", "The proportion of individuals that should migrate between the islands.", new PercentValue(0.15)));
234      Parameters.Add(new ConstrainedValueParameter<IMigrator>("Migrator", "The migration strategy."));
235      Parameters.Add(new ConstrainedValueParameter<ISelector>("EmigrantsSelector", "Selects the individuals that will be migrated."));
236      Parameters.Add(new ConstrainedValueParameter<IReplacer>("ImmigrationReplacer", "Selects the population from the unification of the original population and the immigrants."));
237      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
238      Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations that should be processed.", new IntValue(1000)));
239      Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
240      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
241      Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
242      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
243      Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
244      Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", new BoolValue(false)) { Hidden = true });
245      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
246      Parameters.Add(new ValueParameter<MultiAnalyzer>("IslandAnalyzer", "The operator used to analyze each island.", new MultiAnalyzer()));
247
248      RandomCreator randomCreator = new RandomCreator();
249      UniformSubScopesProcessor ussp0 = new UniformSubScopesProcessor();
250      LocalRandomCreator localRandomCreator = new LocalRandomCreator();
251      RandomCreator globalRandomResetter = new RandomCreator();
252      SubScopesCreator populationCreator = new SubScopesCreator();
253      UniformSubScopesProcessor ussp1 = new UniformSubScopesProcessor();
254      SolutionsCreator solutionsCreator = new SolutionsCreator();
255      VariableCreator variableCreator = new VariableCreator();
256      UniformSubScopesProcessor ussp2 = new UniformSubScopesProcessor();
257      SubScopesCounter subScopesCounter = new SubScopesCounter();
258      ResultsCollector resultsCollector = new ResultsCollector();
259      IslandGeneticAlgorithmMainLoop mainLoop = new IslandGeneticAlgorithmMainLoop();
260      OperatorGraph.InitialOperator = randomCreator;
261
262      randomCreator.RandomParameter.ActualName = "GlobalRandom";
263      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
264      randomCreator.SeedParameter.Value = null;
265      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
266      randomCreator.SetSeedRandomlyParameter.Value = null;
267      randomCreator.Successor = populationCreator;
268
269      populationCreator.NumberOfSubScopesParameter.ActualName = NumberOfIslandsParameter.Name;
270      populationCreator.Successor = ussp0;
271
272      ussp0.Operator = localRandomCreator;
273      ussp0.Successor = globalRandomResetter;
274
275      // BackwardsCompatibility3.3
276      // the global random is resetted to ensure the same algorithm results
277      #region Backwards compatible code, remove global random resetter with 3.4 and rewire the operator graph
278      globalRandomResetter.RandomParameter.ActualName = "GlobalRandom";
279      globalRandomResetter.SeedParameter.ActualName = SeedParameter.Name;
280      globalRandomResetter.SeedParameter.Value = null;
281      globalRandomResetter.SetSeedRandomlyParameter.Value = new BoolValue(false);
282      globalRandomResetter.Successor = ussp1;
283      #endregion
284
285      ussp1.Operator = solutionsCreator;
286      ussp1.Successor = variableCreator;
287
288      solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
289      //don't create solutions in parallel because the hive engine would distribute these tasks
290      solutionsCreator.ParallelParameter.Value = new BoolValue(false);
291      solutionsCreator.Successor = null;
292
293      variableCreator.Name = "Initialize EvaluatedSolutions";
294      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedSolutions", new IntValue()));
295      variableCreator.Successor = ussp2;
296
297      ussp2.Operator = subScopesCounter;
298      ussp2.Successor = resultsCollector;
299
300      subScopesCounter.Name = "Count EvaluatedSolutions";
301      subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
302      subScopesCounter.Successor = null;
303
304      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
305      resultsCollector.ResultsParameter.ActualName = "Results";
306      resultsCollector.Successor = mainLoop;
307
308      mainLoop.EmigrantsSelectorParameter.ActualName = EmigrantsSelectorParameter.Name;
309      mainLoop.ImmigrationReplacerParameter.ActualName = ImmigrationReplacerParameter.Name;
310      mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
311      mainLoop.MigrationIntervalParameter.ActualName = MigrationIntervalParameter.Name;
312      mainLoop.MigrationRateParameter.ActualName = MigrationRateParameter.Name;
313      mainLoop.MigratorParameter.ActualName = MigratorParameter.Name;
314      mainLoop.NumberOfIslandsParameter.ActualName = NumberOfIslandsParameter.Name;
315      mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
316      mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
317      mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
318      mainLoop.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
319      mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
320      mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
321      mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
322      mainLoop.ResultsParameter.ActualName = "Results";
323      mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
324      mainLoop.IslandAnalyzerParameter.ActualName = IslandAnalyzerParameter.Name;
325      mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
326      mainLoop.Successor = null;
327
328      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
329        SelectorParameter.ValidValues.Add(selector);
330      ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
331      if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
332
333      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
334        EmigrantsSelectorParameter.ValidValues.Add(selector);
335
336      foreach (IReplacer replacer in ApplicationManager.Manager.GetInstances<IReplacer>().OrderBy(x => x.Name))
337        ImmigrationReplacerParameter.ValidValues.Add(replacer);
338
339      ParameterizeSelectors();
340
341      foreach (IMigrator migrator in ApplicationManager.Manager.GetInstances<IMigrator>().OrderBy(x => x.Name))
342        MigratorParameter.ValidValues.Add(migrator);
343
344      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
345      islandQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
346      ParameterizeAnalyzers();
347      UpdateAnalyzers();
348
349      Initialize();
350    }
351
352    public override void Prepare() {
353      if (Problem != null) base.Prepare();
354    }
355
356    #region Events
357    protected override void OnProblemChanged() {
358      ParameterizeStochasticOperator(Problem.SolutionCreator);
359      ParameterizeStochasticOperatorForIsland(Problem.Evaluator);
360      foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
361      ParameterizeSolutionsCreator();
362      ParameterizeMainLoop();
363      ParameterizeSelectors();
364      ParameterizeAnalyzers();
365      ParameterizeIterationBasedOperators();
366      UpdateCrossovers();
367      UpdateMutators();
368      UpdateAnalyzers();
369      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
370      base.OnProblemChanged();
371    }
372
373    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
374      ParameterizeStochasticOperator(Problem.SolutionCreator);
375      ParameterizeSolutionsCreator();
376      base.Problem_SolutionCreatorChanged(sender, e);
377    }
378    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
379      ParameterizeStochasticOperatorForIsland(Problem.Evaluator);
380      ParameterizeSolutionsCreator();
381      ParameterizeMainLoop();
382      ParameterizeSelectors();
383      ParameterizeAnalyzers();
384      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
385      base.Problem_EvaluatorChanged(sender, e);
386    }
387    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
388      foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
389      ParameterizeIterationBasedOperators();
390      UpdateCrossovers();
391      UpdateMutators();
392      UpdateAnalyzers();
393      base.Problem_OperatorsChanged(sender, e);
394    }
395    private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
396      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
397      ParameterizeSelectors();
398    }
399    private void Elites_ValueChanged(object sender, EventArgs e) {
400      ParameterizeSelectors();
401    }
402    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
403      NumberOfIslands.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
404      ParameterizeSelectors();
405    }
406    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
407      ParameterizeSelectors();
408    }
409    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
410      ParameterizeMainLoop();
411      ParameterizeSelectors();
412      ParameterizeAnalyzers();
413    }
414    private void MigrationRateParameter_ValueChanged(object sender, EventArgs e) {
415      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
416      ParameterizeSelectors();
417    }
418    private void MigrationRate_ValueChanged(object sender, EventArgs e) {
419      ParameterizeSelectors();
420    }
421    #endregion
422
423    #region Helpers
424    private void Initialize() {
425      PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
426      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
427      MigrationRateParameter.ValueChanged += new EventHandler(MigrationRateParameter_ValueChanged);
428      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
429      ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
430      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
431      if (Problem != null) {
432        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
433      }
434    }
435    private void ParameterizeSolutionsCreator() {
436      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
437      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
438    }
439    private void ParameterizeMainLoop() {
440      MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
441      MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
442      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
443      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
444    }
445    private void ParameterizeStochasticOperator(IOperator op) {
446      IStochasticOperator stochasticOp = op as IStochasticOperator;
447      if (stochasticOp != null) {
448        stochasticOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
449        stochasticOp.RandomParameter.Hidden = true;
450      }
451    }
452    private void ParameterizeStochasticOperatorForIsland(IOperator op) {
453      IStochasticOperator stochasticOp = op as IStochasticOperator;
454      if (stochasticOp != null) {
455        stochasticOp.RandomParameter.ActualName = "LocalRandom";
456        stochasticOp.RandomParameter.Hidden = true;
457      }
458    }
459    private void ParameterizeSelectors() {
460      foreach (ISelector selector in SelectorParameter.ValidValues) {
461        selector.CopySelected = new BoolValue(true);
462        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize.Value - Elites.Value));
463        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
464        ParameterizeStochasticOperatorForIsland(selector);
465      }
466      foreach (ISelector selector in EmigrantsSelectorParameter.ValidValues) {
467        selector.CopySelected = new BoolValue(true);
468        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue((int)Math.Ceiling(PopulationSize.Value * MigrationRate.Value));
469        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
470        ParameterizeStochasticOperator(selector);
471      }
472      foreach (IReplacer replacer in ImmigrationReplacerParameter.ValidValues) {
473        ParameterizeStochasticOperator(replacer);
474      }
475      if (Problem != null) {
476        foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
477          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
478          selector.MaximizationParameter.Hidden = true;
479          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
480          selector.QualityParameter.Hidden = true;
481        }
482        foreach (ISingleObjectiveSelector selector in EmigrantsSelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
483          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
484          selector.MaximizationParameter.Hidden = true;
485          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
486          selector.QualityParameter.Hidden = true;
487        }
488        foreach (ISingleObjectiveReplacer selector in ImmigrationReplacerParameter.ValidValues.OfType<ISingleObjectiveReplacer>()) {
489          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
490          selector.MaximizationParameter.Hidden = true;
491          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
492          selector.QualityParameter.Hidden = true;
493        }
494      }
495    }
496    private void ParameterizeAnalyzers() {
497      islandQualityAnalyzer.ResultsParameter.ActualName = "Results";
498      islandQualityAnalyzer.ResultsParameter.Hidden = true;
499      islandQualityAnalyzer.QualityParameter.Depth = 1;
500      qualityAnalyzer.ResultsParameter.ActualName = "Results";
501      qualityAnalyzer.ResultsParameter.Hidden = true;
502      qualityAnalyzer.QualityParameter.Depth = 2;
503
504      if (Problem != null) {
505        islandQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
506        islandQualityAnalyzer.MaximizationParameter.Hidden = true;
507        islandQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
508        islandQualityAnalyzer.QualityParameter.Hidden = true;
509        islandQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
510        islandQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
511        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
512        qualityAnalyzer.MaximizationParameter.Hidden = true;
513        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
514        qualityAnalyzer.QualityParameter.Hidden = true;
515        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
516        qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
517      }
518    }
519    private void ParameterizeIterationBasedOperators() {
520      if (Problem != null) {
521        foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
522          op.IterationsParameter.ActualName = "Generations";
523          op.IterationsParameter.Hidden = true;
524          op.MaximumIterationsParameter.ActualName = "MaximumGenerations";
525          op.MaximumIterationsParameter.Hidden = true;
526        }
527      }
528    }
529    private void UpdateCrossovers() {
530      ICrossover oldCrossover = CrossoverParameter.Value;
531      ICrossover defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
532      CrossoverParameter.ValidValues.Clear();
533      foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name)) {
534        ParameterizeStochasticOperatorForIsland(crossover);
535        CrossoverParameter.ValidValues.Add(crossover);
536      }
537      if (oldCrossover != null) {
538        ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
539        if (crossover != null) CrossoverParameter.Value = crossover;
540        else oldCrossover = null;
541      }
542      if (oldCrossover == null && defaultCrossover != null)
543        CrossoverParameter.Value = defaultCrossover;
544    }
545    private void UpdateMutators() {
546      IManipulator oldMutator = MutatorParameter.Value;
547      MutatorParameter.ValidValues.Clear();
548      foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name)) {
549        ParameterizeStochasticOperatorForIsland(mutator);
550        MutatorParameter.ValidValues.Add(mutator);
551      }
552      if (oldMutator != null) {
553        IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
554        if (mutator != null) MutatorParameter.Value = mutator;
555      }
556    }
557    private void UpdateAnalyzers() {
558      IslandAnalyzer.Operators.Clear();
559      Analyzer.Operators.Clear();
560      IslandAnalyzer.Operators.Add(islandQualityAnalyzer, islandQualityAnalyzer.EnabledByDefault);
561      if (Problem != null) {
562        foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
563          foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
564            param.Depth = 2;
565          Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
566        }
567      }
568      Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
569    }
570    private IslandGeneticAlgorithmMainLoop FindMainLoop(IOperator start) {
571      IOperator mainLoop = start;
572      while (mainLoop != null && !(mainLoop is IslandGeneticAlgorithmMainLoop))
573        mainLoop = ((SingleSuccessorOperator)mainLoop).Successor;
574      if (mainLoop == null) return null;
575      else return (IslandGeneticAlgorithmMainLoop)mainLoop;
576    }
577    #endregion
578  }
579}
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