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source: branches/DataAnalysis.IslandAlgorithms/HeuristicLab.Algorithms.GeneticAlgorithm/3.3/IslandGeneticAlgorithm.cs @ 11646

Last change on this file since 11646 was 11646, checked in by mkommend, 9 years ago

#1997: Merged trunk changes to data analysis island GA branch.
File size: 31.2 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2014 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 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    protected ValueParameter<IntValue> SeedParameter {
58      get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
59    }
60    protected ValueParameter<BoolValue> SetSeedRandomlyParameter {
61      get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
62    }
63    protected ValueParameter<IntValue> NumberOfIslandsParameter {
64      get { return (ValueParameter<IntValue>)Parameters["NumberOfIslands"]; }
65    }
66    protected ValueParameter<IntValue> MigrationIntervalParameter {
67      get { return (ValueParameter<IntValue>)Parameters["MigrationInterval"]; }
68    }
69    protected IFixedValueParameter<IntValue> AnalysisIntervalParameter {
70      get { return (IFixedValueParameter<IntValue>)Parameters["AnalysisInterval"]; }
71    }
72    protected ValueParameter<PercentValue> MigrationRateParameter {
73      get { return (ValueParameter<PercentValue>)Parameters["MigrationRate"]; }
74    }
75    public IConstrainedValueParameter<IMigrator> MigratorParameter {
76      get { return (IConstrainedValueParameter<IMigrator>)Parameters["Migrator"]; }
77    }
78    public IConstrainedValueParameter<ISelector> EmigrantsSelectorParameter {
79      get { return (IConstrainedValueParameter<ISelector>)Parameters["EmigrantsSelector"]; }
80    }
81    public IConstrainedValueParameter<IReplacer> ImmigrationReplacerParameter {
82      get { return (IConstrainedValueParameter<IReplacer>)Parameters["ImmigrationReplacer"]; }
83    }
84    protected ValueParameter<IntValue> PopulationSizeParameter {
85      get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
86    }
87    protected ValueParameter<IntValue> MaximumGenerationsParameter {
88      get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
89    }
90    public IConstrainedValueParameter<ISelector> SelectorParameter {
91      get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
92    }
93    public IConstrainedValueParameter<ICrossover> CrossoverParameter {
94      get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
95    }
96    protected ValueParameter<PercentValue> MutationProbabilityParameter {
97      get { return (ValueParameter<PercentValue>)Parameters["MutationProbability"]; }
98    }
99    public IConstrainedValueParameter<IManipulator> MutatorParameter {
100      get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
101    }
102    protected ValueParameter<IntValue> ElitesParameter {
103      get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
104    }
105    protected IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
106      get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
107    }
108    protected ValueParameter<MultiAnalyzer> AnalyzerParameter {
109      get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
110    }
111    protected ValueParameter<MultiAnalyzer> IslandAnalyzerParameter {
112      get { return (ValueParameter<MultiAnalyzer>)Parameters["IslandAnalyzer"]; }
113    }
114    protected IFixedValueParameter<BoolValue> ReevaluateImmigrantsParameter {
115      get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateImmigrants"]; }
116    }
117    #endregion
118
119    #region Properties
120    public IntValue Seed {
121      get { return SeedParameter.Value; }
122      set { SeedParameter.Value = value; }
123    }
124    public BoolValue SetSeedRandomly {
125      get { return SetSeedRandomlyParameter.Value; }
126      set { SetSeedRandomlyParameter.Value = value; }
127    }
128    public IntValue NumberOfIslands {
129      get { return NumberOfIslandsParameter.Value; }
130      set { NumberOfIslandsParameter.Value = value; }
131    }
132    public IntValue MigrationInterval {
133      get { return MigrationIntervalParameter.Value; }
134      set { MigrationIntervalParameter.Value = value; }
135    }
136    public int AnalysisInterval {
137      get { return AnalysisIntervalParameter.Value.Value; }
138      set { AnalysisIntervalParameter.Value.Value = value; }
139    }
140    public PercentValue MigrationRate {
141      get { return MigrationRateParameter.Value; }
142      set { MigrationRateParameter.Value = value; }
143    }
144    public IMigrator Migrator {
145      get { return MigratorParameter.Value; }
146      set { MigratorParameter.Value = value; }
147    }
148    public ISelector EmigrantsSelector {
149      get { return EmigrantsSelectorParameter.Value; }
150      set { EmigrantsSelectorParameter.Value = value; }
151    }
152    public IReplacer ImmigrationReplacer {
153      get { return ImmigrationReplacerParameter.Value; }
154      set { ImmigrationReplacerParameter.Value = value; }
155    }
156    public IntValue PopulationSize {
157      get { return PopulationSizeParameter.Value; }
158      set { PopulationSizeParameter.Value = value; }
159    }
160    public IntValue MaximumGenerations {
161      get { return MaximumGenerationsParameter.Value; }
162      set { MaximumGenerationsParameter.Value = value; }
163    }
164    public ISelector Selector {
165      get { return SelectorParameter.Value; }
166      set { SelectorParameter.Value = value; }
167    }
168    public ICrossover Crossover {
169      get { return CrossoverParameter.Value; }
170      set { CrossoverParameter.Value = value; }
171    }
172    public PercentValue MutationProbability {
173      get { return MutationProbabilityParameter.Value; }
174      set { MutationProbabilityParameter.Value = value; }
175    }
176    public IManipulator Mutator {
177      get { return MutatorParameter.Value; }
178      set { MutatorParameter.Value = value; }
179    }
180    public IntValue Elites {
181      get { return ElitesParameter.Value; }
182      set { ElitesParameter.Value = value; }
183    }
184    public bool ReevaluteElites {
185      get { return ReevaluateElitesParameter.Value.Value; }
186      set { ReevaluateElitesParameter.Value.Value = value; }
187    }
188    public MultiAnalyzer Analyzer {
189      get { return AnalyzerParameter.Value; }
190      set { AnalyzerParameter.Value = value; }
191    }
192    public MultiAnalyzer IslandAnalyzer {
193      get { return IslandAnalyzerParameter.Value; }
194      set { IslandAnalyzerParameter.Value = value; }
195    }
196    public bool ReevaluateImmigrants {
197      get { return ReevaluateImmigrantsParameter.Value.Value; }
198      set { ReevaluateImmigrantsParameter.Value.Value = value; }
199    }
200    protected RandomCreator RandomCreator {
201      get { return (RandomCreator)OperatorGraph.InitialOperator; }
202    }
203    protected UniformSubScopesProcessor IslandProcessor {
204      get { return OperatorGraph.Iterate().OfType<UniformSubScopesProcessor>().First(x => x.Operator is SolutionsCreator); }
205    }
206    protected SolutionsCreator SolutionsCreator {
207      get { return (SolutionsCreator)IslandProcessor.Operator; }
208    }
209    protected IslandGeneticAlgorithmMainLoop MainLoop {
210      get { return FindMainLoop(IslandProcessor.Successor); }
211    }
212    [Storable]
213    protected BestAverageWorstQualityAnalyzer islandQualityAnalyzer;
214    [Storable]
215    protected BestAverageWorstQualityAnalyzer qualityAnalyzer;
216    #endregion
217
218    [StorableConstructor]
219    protected IslandGeneticAlgorithm(bool deserializing) : base(deserializing) { }
220    [StorableHook(HookType.AfterDeserialization)]
221    private void AfterDeserialization() {
222      // BackwardsCompatibility3.3
223      #region Backwards compatible code, remove with 3.4
224      if (!Parameters.ContainsKey("ReevaluateElites")) {
225        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 });
226      }
227      if (!Parameters.ContainsKey("ReevaluateImmigrants")) {
228        Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateImmigrants", "Flag which indicates if inviduals should be reevaluated before they are immigrated.", new BoolValue(false)) { Hidden = true });
229      }
230      if (!Parameters.ContainsKey("AnalysisInterval")) {
231        Parameters.Add(new ValueParameter<IntValue>("AnalysisInterval", "The number of generations that should pass between the analyzers should be executed (should be <= MigrationInteval).", new IntValue(1)) { Hidden = true });
232      }
233      #endregion
234
235      Initialize();
236    }
237    protected IslandGeneticAlgorithm(IslandGeneticAlgorithm original, Cloner cloner)
238      : base(original, cloner) {
239      islandQualityAnalyzer = cloner.Clone(original.islandQualityAnalyzer);
240      qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
241      Initialize();
242    }
243    public override IDeepCloneable Clone(Cloner cloner) {
244      return new IslandGeneticAlgorithm(this, cloner);
245    }
246
247    public IslandGeneticAlgorithm()
248      : base() {
249      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
250      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
251      Parameters.Add(new ValueParameter<IntValue>("NumberOfIslands", "The number of islands.", new IntValue(5)));
252      Parameters.Add(new ValueParameter<IntValue>("MigrationInterval", "The number of generations that should pass between migration phases.", new IntValue(20)));
253      Parameters.Add(new ValueParameter<IntValue>("AnalysisInterval", "The number of generations that should pass between the analyzers should be executed (should be <= MigrationInteval).", new IntValue(1)) { Hidden = true });
254      Parameters.Add(new ValueParameter<PercentValue>("MigrationRate", "The proportion of individuals that should migrate between the islands.", new PercentValue(0.15)));
255      Parameters.Add(new ConstrainedValueParameter<IMigrator>("Migrator", "The migration strategy."));
256      Parameters.Add(new ConstrainedValueParameter<ISelector>("EmigrantsSelector", "Selects the individuals that will be migrated."));
257      Parameters.Add(new ConstrainedValueParameter<IReplacer>("ImmigrationReplacer", "Selects the population from the unification of the original population and the immigrants."));
258      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
259      Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations that should be processed.", new IntValue(1000)));
260      Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
261      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
262      Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
263      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
264      Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
265      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 });
266      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
267      Parameters.Add(new ValueParameter<MultiAnalyzer>("IslandAnalyzer", "The operator used to analyze each island.", new MultiAnalyzer()));
268      Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateImmigrants", "Flag which indicates if inviduals should be reevaluated before they are immigrated.", new BoolValue(false)) { Hidden = true });
269
270      RandomCreator randomCreator = new RandomCreator();
271      UniformSubScopesProcessor ussp0 = new UniformSubScopesProcessor();
272      LocalRandomCreator localRandomCreator = new LocalRandomCreator();
273      RandomCreator globalRandomResetter = new RandomCreator();
274      SubScopesCreator populationCreator = new SubScopesCreator();
275      UniformSubScopesProcessor ussp1 = new UniformSubScopesProcessor();
276      SolutionsCreator solutionsCreator = new SolutionsCreator();
277      VariableCreator variableCreator = new VariableCreator();
278      UniformSubScopesProcessor ussp2 = new UniformSubScopesProcessor();
279      SubScopesCounter subScopesCounter = new SubScopesCounter();
280      ResultsCollector resultsCollector = new ResultsCollector();
281      IslandGeneticAlgorithmMainLoop mainLoop = new IslandGeneticAlgorithmMainLoop();
282      OperatorGraph.InitialOperator = randomCreator;
283
284      randomCreator.RandomParameter.ActualName = "GlobalRandom";
285      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
286      randomCreator.SeedParameter.Value = null;
287      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
288      randomCreator.SetSeedRandomlyParameter.Value = null;
289      randomCreator.Successor = populationCreator;
290
291      populationCreator.NumberOfSubScopesParameter.ActualName = NumberOfIslandsParameter.Name;
292      populationCreator.Successor = ussp0;
293
294      ussp0.Operator = localRandomCreator;
295      ussp0.Successor = globalRandomResetter;
296
297      // BackwardsCompatibility3.3
298      // the global random is resetted to ensure the same algorithm results
299      #region Backwards compatible code, remove global random resetter with 3.4 and rewire the operator graph
300      globalRandomResetter.RandomParameter.ActualName = "GlobalRandom";
301      globalRandomResetter.SeedParameter.ActualName = SeedParameter.Name;
302      globalRandomResetter.SeedParameter.Value = null;
303      globalRandomResetter.SetSeedRandomlyParameter.Value = new BoolValue(false);
304      globalRandomResetter.Successor = ussp1;
305      #endregion
306
307      ussp1.Operator = solutionsCreator;
308      ussp1.Successor = variableCreator;
309
310      solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
311      //don't create solutions in parallel because the hive engine would distribute these tasks
312      solutionsCreator.ParallelParameter.Value = new BoolValue(false);
313      solutionsCreator.Successor = null;
314
315      variableCreator.Name = "Initialize EvaluatedSolutions";
316      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedSolutions", new IntValue()));
317      variableCreator.Successor = ussp2;
318
319      ussp2.Operator = subScopesCounter;
320      ussp2.Successor = resultsCollector;
321
322      subScopesCounter.Name = "Count EvaluatedSolutions";
323      subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
324      subScopesCounter.Successor = null;
325
326      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
327      resultsCollector.ResultsParameter.ActualName = "Results";
328      resultsCollector.Successor = mainLoop;
329
330      mainLoop.EmigrantsSelectorParameter.ActualName = EmigrantsSelectorParameter.Name;
331      mainLoop.ImmigrationReplacerParameter.ActualName = ImmigrationReplacerParameter.Name;
332      mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
333      mainLoop.MigrationIntervalParameter.ActualName = MigrationIntervalParameter.Name;
334      mainLoop.MigrationRateParameter.ActualName = MigrationRateParameter.Name;
335      mainLoop.MigratorParameter.ActualName = MigratorParameter.Name;
336      mainLoop.NumberOfIslandsParameter.ActualName = NumberOfIslandsParameter.Name;
337      mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
338      mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
339      mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
340      mainLoop.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
341      mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
342      mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
343      mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
344      mainLoop.ResultsParameter.ActualName = "Results";
345      mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
346      mainLoop.IslandAnalyzerParameter.ActualName = IslandAnalyzerParameter.Name;
347      mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
348      mainLoop.Successor = null;
349
350      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
351        SelectorParameter.ValidValues.Add(selector);
352      ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
353      if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
354
355      foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
356        EmigrantsSelectorParameter.ValidValues.Add(selector);
357
358      foreach (IReplacer replacer in ApplicationManager.Manager.GetInstances<IReplacer>().OrderBy(x => x.Name))
359        ImmigrationReplacerParameter.ValidValues.Add(replacer);
360
361      ParameterizeSelectors();
362
363      foreach (IMigrator migrator in ApplicationManager.Manager.GetInstances<IMigrator>().OrderBy(x => x.Name))
364        MigratorParameter.ValidValues.Add(migrator);
365
366      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
367      islandQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
368      ParameterizeAnalyzers();
369      UpdateAnalyzers();
370
371      Initialize();
372    }
373
374    public override void Prepare() {
375      if (Problem != null) base.Prepare();
376    }
377
378    #region Events
379    protected override void OnProblemChanged() {
380      ParameterizeStochasticOperator(Problem.SolutionCreator);
381      ParameterizeStochasticOperatorForIsland(Problem.Evaluator);
382      foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
383      ParameterizeSolutionsCreator();
384      ParameterizeMainLoop();
385      ParameterizeSelectors();
386      ParameterizeAnalyzers();
387      ParameterizeIterationBasedOperators();
388      UpdateCrossovers();
389      UpdateMutators();
390      UpdateAnalyzers();
391      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
392      base.OnProblemChanged();
393    }
394
395    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
396      ParameterizeStochasticOperator(Problem.SolutionCreator);
397      ParameterizeSolutionsCreator();
398      base.Problem_SolutionCreatorChanged(sender, e);
399    }
400    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
401      ParameterizeStochasticOperatorForIsland(Problem.Evaluator);
402      ParameterizeSolutionsCreator();
403      ParameterizeMainLoop();
404      ParameterizeSelectors();
405      ParameterizeAnalyzers();
406      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
407      base.Problem_EvaluatorChanged(sender, e);
408    }
409    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
410      foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
411      ParameterizeIterationBasedOperators();
412      UpdateCrossovers();
413      UpdateMutators();
414      UpdateAnalyzers();
415      base.Problem_OperatorsChanged(sender, e);
416    }
417    private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
418      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
419      ParameterizeSelectors();
420    }
421    private void Elites_ValueChanged(object sender, EventArgs e) {
422      ParameterizeSelectors();
423    }
424    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
425      NumberOfIslands.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
426      ParameterizeSelectors();
427    }
428    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
429      ParameterizeSelectors();
430    }
431    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
432      ParameterizeMainLoop();
433      ParameterizeSelectors();
434      ParameterizeAnalyzers();
435    }
436    private void MigrationRateParameter_ValueChanged(object sender, EventArgs e) {
437      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
438      ParameterizeSelectors();
439    }
440    private void MigrationRate_ValueChanged(object sender, EventArgs e) {
441      ParameterizeSelectors();
442    }
443    #endregion
444
445    #region Helpers
446    protected virtual void Initialize() {
447      PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
448      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
449      MigrationRateParameter.ValueChanged += new EventHandler(MigrationRateParameter_ValueChanged);
450      MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
451      ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
452      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
453      if (Problem != null) {
454        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
455      }
456    }
457    protected virtual void ParameterizeSolutionsCreator() {
458      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
459      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
460    }
461    protected virtual void ParameterizeMainLoop() {
462      MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
463      MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
464      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
465      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
466    }
467    protected virtual void ParameterizeStochasticOperator(IOperator op) {
468      IStochasticOperator stochasticOp = op as IStochasticOperator;
469      if (stochasticOp != null) {
470        stochasticOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
471        stochasticOp.RandomParameter.Hidden = true;
472      }
473    }
474    protected virtual void ParameterizeStochasticOperatorForIsland(IOperator op) {
475      IStochasticOperator stochasticOp = op as IStochasticOperator;
476      if (stochasticOp != null) {
477        stochasticOp.RandomParameter.ActualName = "LocalRandom";
478        stochasticOp.RandomParameter.Hidden = true;
479      }
480    }
481    protected virtual void ParameterizeSelectors() {
482      foreach (ISelector selector in SelectorParameter.ValidValues) {
483        selector.CopySelected = new BoolValue(true);
484        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize.Value - Elites.Value));
485        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
486        ParameterizeStochasticOperatorForIsland(selector);
487      }
488      foreach (ISelector selector in EmigrantsSelectorParameter.ValidValues) {
489        selector.CopySelected = new BoolValue(true);
490        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue((int)Math.Ceiling(PopulationSize.Value * MigrationRate.Value));
491        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
492        ParameterizeStochasticOperator(selector);
493      }
494      foreach (IReplacer replacer in ImmigrationReplacerParameter.ValidValues) {
495        ParameterizeStochasticOperator(replacer);
496      }
497      if (Problem != null) {
498        foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
499          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
500          selector.MaximizationParameter.Hidden = true;
501          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
502          selector.QualityParameter.Hidden = true;
503        }
504        foreach (ISingleObjectiveSelector selector in EmigrantsSelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
505          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
506          selector.MaximizationParameter.Hidden = true;
507          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
508          selector.QualityParameter.Hidden = true;
509        }
510        foreach (ISingleObjectiveReplacer selector in ImmigrationReplacerParameter.ValidValues.OfType<ISingleObjectiveReplacer>()) {
511          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
512          selector.MaximizationParameter.Hidden = true;
513          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
514          selector.QualityParameter.Hidden = true;
515        }
516      }
517    }
518    protected virtual void ParameterizeAnalyzers() {
519      islandQualityAnalyzer.ResultsParameter.ActualName = "Results";
520      islandQualityAnalyzer.ResultsParameter.Hidden = true;
521      islandQualityAnalyzer.QualityParameter.Depth = 1;
522      qualityAnalyzer.ResultsParameter.ActualName = "Results";
523      qualityAnalyzer.ResultsParameter.Hidden = true;
524      qualityAnalyzer.QualityParameter.Depth = 2;
525
526      if (Problem != null) {
527        islandQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
528        islandQualityAnalyzer.MaximizationParameter.Hidden = true;
529        islandQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
530        islandQualityAnalyzer.QualityParameter.Hidden = true;
531        islandQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
532        islandQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
533        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
534        qualityAnalyzer.MaximizationParameter.Hidden = true;
535        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
536        qualityAnalyzer.QualityParameter.Hidden = true;
537        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
538        qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
539      }
540    }
541    protected virtual void ParameterizeIterationBasedOperators() {
542      if (Problem != null) {
543        foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
544          op.IterationsParameter.ActualName = "Generations";
545          op.IterationsParameter.Hidden = true;
546          op.MaximumIterationsParameter.ActualName = "MaximumGenerations";
547          op.MaximumIterationsParameter.Hidden = true;
548        }
549      }
550    }
551    protected virtual void UpdateCrossovers() {
552      ICrossover oldCrossover = CrossoverParameter.Value;
553      ICrossover defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
554      CrossoverParameter.ValidValues.Clear();
555      foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name)) {
556        ParameterizeStochasticOperatorForIsland(crossover);
557        CrossoverParameter.ValidValues.Add(crossover);
558      }
559      if (oldCrossover != null) {
560        ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
561        if (crossover != null) CrossoverParameter.Value = crossover;
562        else oldCrossover = null;
563      }
564      if (oldCrossover == null && defaultCrossover != null)
565        CrossoverParameter.Value = defaultCrossover;
566    }
567    protected virtual void UpdateMutators() {
568      IManipulator oldMutator = MutatorParameter.Value;
569      MutatorParameter.ValidValues.Clear();
570      foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name)) {
571        ParameterizeStochasticOperatorForIsland(mutator);
572        MutatorParameter.ValidValues.Add(mutator);
573      }
574      if (oldMutator != null) {
575        IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
576        if (mutator != null) MutatorParameter.Value = mutator;
577      }
578    }
579    protected virtual void UpdateAnalyzers() {
580      IslandAnalyzer.Operators.Clear();
581      Analyzer.Operators.Clear();
582      IslandAnalyzer.Operators.Add(islandQualityAnalyzer, islandQualityAnalyzer.EnabledByDefault);
583      if (Problem != null) {
584        foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
585          foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
586            param.Depth = 2;
587          Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
588        }
589      }
590      Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
591    }
592    protected virtual IslandGeneticAlgorithmMainLoop FindMainLoop(IOperator start) {
593      IOperator mainLoop = start;
594      while (mainLoop != null && !(mainLoop is IslandGeneticAlgorithmMainLoop))
595        mainLoop = ((SingleSuccessorOperator)mainLoop).Successor;
596      if (mainLoop == null) return null;
597      else return (IslandGeneticAlgorithmMainLoop)mainLoop;
598    }
599    #endregion
600  }
601}
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