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source: branches/LearningClassifierSystems/HeuristicLab.Algorithms.GAssist/3.3/GAssist.cs @ 9392

Last change on this file since 9392 was 9392, checked in by sforsten, 11 years ago

#1980:

  • several small bug fixes
  • added windowing technique ILAS to GAssist
  • GAssist and XCS work now with real-valued features
  • severely improved the performance of XCS
File size: 32.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Linq;
24using HeuristicLab.Analysis;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Data;
28using HeuristicLab.Operators;
29using HeuristicLab.Optimization;
30using HeuristicLab.Optimization.Operators;
31using HeuristicLab.Optimization.Operators.LCS;
32using HeuristicLab.Parameters;
33using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
34using HeuristicLab.PluginInfrastructure;
35using HeuristicLab.Random;
36
37namespace HeuristicLab.Algorithms.GAssist {
38  /// <summary>
39  /// A genetic algorithm.
40  /// </summary>
41  [Item("GAssist", "A learning classifier system.")]
42  [Creatable("Algorithms")]
43  [StorableClass]
44  public sealed class GAssist : HeuristicOptimizationEngineAlgorithm, IStorableContent {
45    public string Filename { get; set; }
46
47    #region Problem Properties
48    public override Type ProblemType {
49      get { return typeof(IGAssistProblem); }
50    }
51    public new IGAssistProblem Problem {
52      get { return (IGAssistProblem)base.Problem; }
53      set { base.Problem = value; }
54    }
55    #endregion
56
57    #region Parameter Properties
58    private ValueParameter<IntValue> SeedParameter {
59      get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
60    }
61    private ValueParameter<BoolValue> SetSeedRandomlyParameter {
62      get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
63    }
64    private ValueParameter<IntValue> PopulationSizeParameter {
65      get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
66    }
67    public ValueParameter<MDLIterationOperator> MDLIterationOperatorParameter {
68      get { return (ValueParameter<MDLIterationOperator>)Parameters["MDLIterationOperator"]; }
69    }
70    public IConstrainedValueParameter<IDefaultRuleOperator> DefaultRuleParameter {
71      get { return (IConstrainedValueParameter<IDefaultRuleOperator>)Parameters["DefaultRule"]; }
72    }
73    public IConstrainedValueParameter<INichingSingleObjectiveSelector> SelectorParameter {
74      get { return (IConstrainedValueParameter<INichingSingleObjectiveSelector>)Parameters["Selector"]; }
75    }
76    private ValueParameter<PercentValue> CrossoverProbabilityParameter {
77      get { return (ValueParameter<PercentValue>)Parameters["CrossoverProbability"]; }
78    }
79    public IConstrainedValueParameter<ICrossover> CrossoverParameter {
80      get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
81    }
82    private ValueParameter<PercentValue> MutationProbabilityParameter {
83      get { return (ValueParameter<PercentValue>)Parameters["MutationProbability"]; }
84    }
85    public IConstrainedValueParameter<IManipulator> MutatorParameter {
86      get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
87    }
88    private ValueParameter<IntValue> ElitesParameter {
89      get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
90    }
91    private ValueParameter<MultiAnalyzer> AnalyzerParameter {
92      get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
93    }
94    private ValueParameter<GAssistSpecialStageMultiOperator> SpecialStagesParameter {
95      get { return (ValueParameter<GAssistSpecialStageMultiOperator>)Parameters["SpecialStages"]; }
96    }
97    private ValueParameter<IntValue> MaximumGenerationsParameter {
98      get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
99    }
100    private ValueParameter<PercentValue> StartReinitializeProbabilityParameter {
101      get { return (ValueParameter<PercentValue>)Parameters["StartReinitializeProbability"]; }
102    }
103    private ValueParameter<PercentValue> EndReinitializeProbabilityParameter {
104      get { return (ValueParameter<PercentValue>)Parameters["EndReinitializeProbability"]; }
105    }
106    public IConstrainedValueParameter<IDiscreteDoubleValueModifier> ReinitializeCurveOperatorParameter {
107      get { return (IConstrainedValueParameter<IDiscreteDoubleValueModifier>)Parameters["ReinitializeCurveOperator"]; }
108    }
109    private ValueParameter<PercentValue> SplitProbabilityParameter {
110      get { return (ValueParameter<PercentValue>)Parameters["SplitProbability"]; }
111    }
112    private ValueParameter<PercentValue> MergeProbabilityParameter {
113      get { return (ValueParameter<PercentValue>)Parameters["MergeProbability"]; }
114    }
115    private ValueParameter<PercentValue> OneProbabilityParameter {
116      get { return (ValueParameter<PercentValue>)Parameters["OneProbability"]; }
117    }
118    private ValueParameter<IntValue> MaximumNumberOfIntervalsParameter {
119      get { return (ValueParameter<IntValue>)Parameters["MaximumNumberOfIntervals"]; }
120    }
121    private ValueParameter<IntValue> InitialNumberOfRulesParameter {
122      get { return (ValueParameter<IntValue>)Parameters["InitialNumberOfRules"]; }
123    }
124    private ValueParameter<ItemCollection<IDiscretizer>> DiscretizersParameter {
125      get { return (ValueParameter<ItemCollection<IDiscretizer>>)Parameters["Discretizers"]; }
126    }
127    public ValueParameter<IntValue> MDLActivationIterationParameter {
128      get { return (ValueParameter<IntValue>)Parameters["MDLActivationIteration"]; }
129    }
130    public ValueParameter<DoubleValue> InitialTheoryLengthRatioParameter {
131      get { return (ValueParameter<DoubleValue>)Parameters["InitialTheoryLengthRatio"]; }
132    }
133    public ValueParameter<DoubleValue> WeightRelaxFactorParameter {
134      get { return (ValueParameter<DoubleValue>)Parameters["WeightRelaxFactor"]; }
135    }
136    public ValueParameter<IntValue> WeightAdaptionIterationsParameter {
137      get { return (ValueParameter<IntValue>)Parameters["WeightAdaptionIterations"]; }
138    }
139    public ValueParameter<IntValue> NumberOfStrataParameter {
140      get { return (ValueParameter<IntValue>)Parameters["NumberOfStrata"]; }
141    }
142    #endregion
143
144    #region Properties
145    public IntValue Seed {
146      get { return SeedParameter.Value; }
147      set { SeedParameter.Value = value; }
148    }
149    public BoolValue SetSeedRandomly {
150      get { return SetSeedRandomlyParameter.Value; }
151      set { SetSeedRandomlyParameter.Value = value; }
152    }
153    public IntValue PopulationSize {
154      get { return PopulationSizeParameter.Value; }
155      set { PopulationSizeParameter.Value = value; }
156    }
157    public INichingSingleObjectiveSelector Selector {
158      get { return SelectorParameter.Value; }
159      set { SelectorParameter.Value = value; }
160    }
161    public PercentValue CrossoverProbability {
162      get { return CrossoverProbabilityParameter.Value; }
163      set { CrossoverProbabilityParameter.Value = value; }
164    }
165    public ICrossover Crossover {
166      get { return CrossoverParameter.Value; }
167      set { CrossoverParameter.Value = value; }
168    }
169    public PercentValue MutationProbability {
170      get { return MutationProbabilityParameter.Value; }
171      set { MutationProbabilityParameter.Value = value; }
172    }
173    public IManipulator Mutator {
174      get { return MutatorParameter.Value; }
175      set { MutatorParameter.Value = value; }
176    }
177    public IntValue Elites {
178      get { return ElitesParameter.Value; }
179      set { ElitesParameter.Value = value; }
180    }
181    public MultiAnalyzer Analyzer {
182      get { return AnalyzerParameter.Value; }
183      set { AnalyzerParameter.Value = value; }
184    }
185    public GAssistSpecialStageMultiOperator SpecialStages {
186      get { return SpecialStagesParameter.Value; }
187      set { SpecialStagesParameter.Value = value; }
188    }
189    public IDiscreteDoubleValueModifier ReinitializeCurveOperator {
190      get { return ReinitializeCurveOperatorParameter.Value; }
191      set { ReinitializeCurveOperatorParameter.Value = value; }
192    }
193    public IntValue MaximumGenerations {
194      get { return MaximumGenerationsParameter.Value; }
195      set { MaximumGenerationsParameter.Value = value; }
196    }
197    private RandomCreator RandomCreator {
198      get { return (RandomCreator)OperatorGraph.InitialOperator; }
199    }
200    private VariableCreator VariableCreator {
201      get { return (VariableCreator)RandomCreator.Successor; }
202    }
203    private Placeholder MDLIterationPlaceholder {
204      get { return (Placeholder)VariableCreator.Successor; }
205    }
206    private ILASOperator ILASOperator {
207      get { return (ILASOperator)MDLIterationPlaceholder.Successor; }
208    }
209    private InitializeDiscretizersOperator InitializeDiscretizers {
210      get { return (InitializeDiscretizersOperator)ILASOperator.Successor; }
211    }
212    private SolutionsCreator SolutionsCreator {
213      get { return (SolutionsCreator)InitializeDiscretizers.Successor; }
214    }
215    private GAssistMainLoop GeneticAlgorithmMainLoop {
216      get { return FindMainLoop(SolutionsCreator.Successor); }
217    }
218    [Storable]
219    private BestAverageWorstQualityAnalyzer qualityAnalyzer;
220    #endregion
221
222    public GAssist()
223      : base() {
224      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
225      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
226      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
227      Parameters.Add(new ConstrainedValueParameter<INichingSingleObjectiveSelector>("Selector", "The operator used to select solutions for reproduction."));
228      Parameters.Add(new ValueParameter<PercentValue>("CrossoverProbability", "The probability that the Crossover operator is applied on a solution.", new PercentValue(0.9)));
229      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
230      Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
231      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
232      Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
233      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze each generation.", new MultiAnalyzer()));
234      Parameters.Add(new ValueParameter<GAssistSpecialStageMultiOperator>("SpecialStages", "", new GAssistSpecialStageMultiOperator()));
235      Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed.", new IntValue(1000)));
236      Parameters.Add(new ValueParameter<PercentValue>("SplitProbability", "", new PercentValue(0.05)));
237      Parameters.Add(new ValueParameter<PercentValue>("MergeProbability", "", new PercentValue(0.05)));
238      Parameters.Add(new ValueParameter<PercentValue>("StartReinitializeProbability", "", new PercentValue(0.05)));
239      Parameters.Add(new ValueParameter<PercentValue>("EndReinitializeProbability", "", new PercentValue(Double.Epsilon)));
240      Parameters.Add(new ValueParameter<PercentValue>("OneProbability", "", new PercentValue(0.75)));
241      Parameters.Add(new ValueParameter<IntValue>("MaximumNumberOfIntervals", "", new IntValue(5)));
242      Parameters.Add(new ValueParameter<IntValue>("InitialNumberOfRules", "", new IntValue(20)));
243      Parameters.Add(new ValueParameter<MDLIterationOperator>("MDLIterationOperator", "", new MDLIterationOperator()));
244      Parameters.Add(new ConstrainedValueParameter<IDefaultRuleOperator>("DefaultRule", ""));
245      Parameters.Add(new ConstrainedValueParameter<IDiscreteDoubleValueModifier>("ReinitializeCurveOperator", ""));
246      Parameters.Add(new ValueParameter<ItemCollection<IDiscretizer>>("Discretizers", "", new ItemCollection<IDiscretizer>()));
247
248      Parameters.Add(new ValueParameter<IntValue>("MDLActivationIteration", "", new IntValue(25)));
249      Parameters.Add(new ValueParameter<DoubleValue>("InitialTheoryLengthRatio", "", new DoubleValue(0.075)));
250      Parameters.Add(new ValueParameter<DoubleValue>("WeightRelaxFactor", "", new DoubleValue(0.9)));
251      Parameters.Add(new ValueParameter<IntValue>("WeightAdaptionIterations", "", new IntValue(10)));
252
253      Parameters.Add(new ValueParameter<IntValue>("NumberOfStrata", "", new IntValue(2)));
254
255      RandomCreator randomCreator = new RandomCreator();
256      VariableCreator variableCreator = new VariableCreator();
257      Placeholder mdlIterationPlaceholder = new Placeholder();
258      ILASOperator ilasOperator = new ILASOperator();
259      InitializeDiscretizersOperator initializeDiscretizers = new InitializeDiscretizersOperator();
260      SolutionsCreator solutionsCreator = new SolutionsCreator();
261      SubScopesCounter subScopesCounter = new SubScopesCounter();
262      ResultsCollector resultsCollector = new ResultsCollector();
263      GAssistMainLoop mainLoop = new GAssistMainLoop();
264      OperatorGraph.InitialOperator = randomCreator;
265
266      randomCreator.RandomParameter.ActualName = "Random";
267      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
268      randomCreator.SeedParameter.Value = null;
269      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
270      randomCreator.SetSeedRandomlyParameter.Value = null;
271      randomCreator.Successor = variableCreator;
272
273      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0))); // Class GAssistMainLoop expects this to be called Generations
274      variableCreator.Successor = mdlIterationPlaceholder;
275
276      mdlIterationPlaceholder.Name = "MDL Iteration Operator";
277      mdlIterationPlaceholder.OperatorParameter.ActualName = MDLIterationOperatorParameter.Name;
278      mdlIterationPlaceholder.Successor = ilasOperator;
279
280      ilasOperator.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
281      ilasOperator.NumberOfStrataParameter.ActualName = NumberOfStrataParameter.Name;
282      ilasOperator.Successor = initializeDiscretizers;
283
284      initializeDiscretizers.DiscretizersParameter.ActualName = DiscretizersParameter.Name;
285      initializeDiscretizers.Successor = solutionsCreator;
286
287      solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
288      solutionsCreator.Successor = subScopesCounter;
289
290      subScopesCounter.Name = "Initialize EvaluatedSolutions";
291      subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
292      subScopesCounter.Successor = resultsCollector;
293
294      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
295      resultsCollector.ResultsParameter.ActualName = "Results";
296      resultsCollector.Successor = mainLoop;
297
298      mainLoop.MDLIterationParameter.ActualName = MDLIterationOperatorParameter.Name;
299      mainLoop.DefaultRuleParameter.ActualName = DefaultRuleParameter.Name;
300      mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
301      mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
302      mainLoop.CrossoverProbabilityParameter.ActualName = CrossoverProbabilityParameter.Name;
303      mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
304      mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
305      mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
306      mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
307      mainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
308      mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
309      mainLoop.SpecialStagesParameter.ActualName = SpecialStagesParameter.Name;
310      mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
311      mainLoop.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
312      mainLoop.ResultsParameter.ActualName = "Results";
313      mainLoop.ReinitializationProbabilityOperatorParameter.ActualName = ReinitializeCurveOperatorParameter.Name;
314
315      foreach (INichingSingleObjectiveSelector selector in ApplicationManager.Manager.GetInstances<INichingSingleObjectiveSelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
316        SelectorParameter.ValidValues.Add(selector);
317      //INichingSingleObjectiveSelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
318      //if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
319      ParameterizeSelectors();
320
321      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
322      ParameterizeAnalyzers();
323      UpdateAnalyzers();
324
325      foreach (IDiscreteDoubleValueModifier op in ApplicationManager.Manager.GetInstances<IDiscreteDoubleValueModifier>().OrderBy(x => x.Name)) {
326        ReinitializeCurveOperatorParameter.ValidValues.Add(op);
327      }
328      ReinitializeCurveOperatorParameter.Value = ReinitializeCurveOperatorParameter.ValidValues.First(x => x.GetType().Equals(typeof(LinearDiscreteDoubleValueModifier)));
329      ParameterizeReinitializeCurveOperators();
330
331      InitializeSpecialStages();
332
333      UpdateDiscretizers();
334
335      Initialize();
336    }
337
338    private void UpdateDiscretizers() {
339      // change to add more
340      DiscretizersParameter.Value.AddRange(ApplicationManager.Manager.GetInstances<IDiscretizer>());
341    }
342
343    private void ParameterizeReinitializeCurveOperators() {
344      foreach (IDiscreteDoubleValueModifier op in ReinitializeCurveOperatorParameter.ValidValues) {
345        op.IndexParameter.ActualName = "Generations";
346        op.IndexParameter.Hidden = true;
347        op.StartIndexParameter.Value = new IntValue(0);
348        op.EndIndexParameter.ActualName = MaximumGenerationsParameter.Name;
349        op.ValueParameter.ActualName = "ReinitializeProbability";
350        op.ValueParameter.Hidden = true;
351        op.StartValueParameter.ActualName = StartReinitializeProbabilityParameter.Name;
352        op.StartValueParameter.Hidden = true;
353        op.EndValueParameter.ActualName = EndReinitializeProbabilityParameter.Name;
354        op.EndValueParameter.Hidden = true;
355        ParameterizeStochasticOperator(op);
356      }
357    }
358
359    private void InitializeSpecialStages() {
360      SpecialStages.Operators.Clear();
361      var splitOperator = new SplitOperator();
362      splitOperator.ProbabilityParameter.ActualName = "SplitProbability";
363      //change
364      splitOperator.IndividualParameter.ActualName = "DecisionList";
365      SpecialStages.Operators.Add(splitOperator);
366      var mergeOperator = new MergeOperator();
367      mergeOperator.ProbabilityParameter.ActualName = "MergeProbability";
368      //change
369      mergeOperator.IndividualParameter.ActualName = "DecisionList";
370      SpecialStages.Operators.Add(mergeOperator);
371      var reinitializeOperator = new ReinitializeOperator();
372      reinitializeOperator.ProbabilityParameter.ActualName = "ReinitializeProbability";
373      reinitializeOperator.DiscretizersParameter.ActualName = "Discretizers";
374      reinitializeOperator.OneProbabilityParameter.ActualName = "OneProbability";
375      //change
376      reinitializeOperator.IndividualParameter.ActualName = "DecisionList";
377      SpecialStages.Operators.Add(reinitializeOperator);
378      foreach (var op in SpecialStages.Operators) {
379        op.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
380      }
381    }
382
383    [StorableConstructor]
384    private GAssist(bool deserializing) : base(deserializing) { }
385    [StorableHook(HookType.AfterDeserialization)]
386    private void AfterDeserialization() {
387      Initialize();
388    }
389
390    private GAssist(GAssist original, Cloner cloner)
391      : base(original, cloner) {
392      qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
393      Initialize();
394    }
395    public override IDeepCloneable Clone(Cloner cloner) {
396      return new GAssist(this, cloner);
397    }
398
399    public override void Prepare() {
400      if (Problem != null) base.Prepare();
401    }
402
403    #region Events
404    protected override void OnProblemChanged() {
405      ParameterizeStochasticOperator(Problem.SolutionCreator);
406      ParameterizeStochasticOperator(Problem.Evaluator);
407      ParameterizeMDLOperator(Problem.Evaluator);
408      ParameterizeIterationBasedOperators(Problem.Evaluator);
409      foreach (IOperator op in Problem.Operators.OfType<IOperator>()) {
410        ParameterizeStochasticOperator(op);
411      }
412      ParameterizeSolutionsCreator();
413      ParameterizeGeneticAlgorithmMainLoop();
414      ParameterizeMDL();
415      ParameterizeSelectors();
416      ParameterizeAnalyzers();
417      ParameterizeIterationBasedOperators();
418      UpdateDefaultRuleOperators();
419      UpdateCrossovers();
420      UpdateMutators();
421      UpdateAnalyzers();
422      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
423      ILASOperator.ProblemDataParameter.ActualName = Problem.ProblemDataParameter.Name;
424      InitializeDiscretizers.ProblemDataParameter.ActualName = Problem.ProblemDataParameter.Name;
425      base.OnProblemChanged();
426    }
427
428    private void ParameterizeMDL() {
429      MDLIterationOperatorParameter.Value.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
430      //change
431      MDLIterationOperatorParameter.Value.IndividualParameter.ActualName = "DecisionList";
432      MDLIterationOperatorParameter.Value.ProblemDataParameter.ActualName = Problem.ProblemDataParameter.Name;
433      MDLIterationOperatorParameter.Value.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
434
435      MDLIterationOperatorParameter.Value.InitialTheoryLengthRatioParameter.ActualName = InitialTheoryLengthRatioParameter.Name;
436      MDLIterationOperatorParameter.Value.MDLActivationIterationParameter.ActualName = MDLActivationIterationParameter.Name;
437      MDLIterationOperatorParameter.Value.WeightAdaptionIterationsParameter.ActualName = WeightAdaptionIterationsParameter.Name;
438      MDLIterationOperatorParameter.Value.WeightRelaxFactorParameter.ActualName = WeightRelaxFactorParameter.Name;
439      MDLIterationOperatorParameter.Value.IterationsParameter.ActualName = "Generations";
440    }
441
442    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
443      ParameterizeStochasticOperator(Problem.SolutionCreator);
444      ParameterizeSolutionsCreator();
445      base.Problem_SolutionCreatorChanged(sender, e);
446    }
447    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
448      ParameterizeStochasticOperator(Problem.Evaluator);
449      ParameterizeSolutionsCreator();
450      ParameterizeGeneticAlgorithmMainLoop();
451      ParameterizeSelectors();
452      ParameterizeAnalyzers();
453      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
454      Problem.Evaluator.StrataParameter.ActualName = ILASOperator.StrataParameter.ActualName;
455      base.Problem_EvaluatorChanged(sender, e);
456    }
457    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
458      foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
459      ParameterizeIterationBasedOperators();
460      UpdateCrossovers();
461      UpdateMutators();
462      UpdateAnalyzers();
463      base.Problem_OperatorsChanged(sender, e);
464    }
465    private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
466      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
467      ParameterizeSelectors();
468    }
469    private void Elites_ValueChanged(object sender, EventArgs e) {
470      ParameterizeSelectors();
471    }
472
473    private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
474      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
475      ParameterizeSelectors();
476    }
477    private void PopulationSize_ValueChanged(object sender, EventArgs e) {
478      ParameterizeSelectors();
479    }
480    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
481      ParameterizeGeneticAlgorithmMainLoop();
482      ParameterizeSelectors();
483      ParameterizeAnalyzers();
484    }
485    #endregion
486
487    #region Helpers
488    private void Initialize() {
489      PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
490      PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
491      ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
492      Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
493      if (Problem != null) {
494        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
495      }
496    }
497
498    private void ParameterizeSolutionsCreator() {
499      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
500      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
501      // change!
502      ((IGAssistIndividualCreator)Problem.SolutionCreatorParameter.ActualValue).DiscretizersParameter.ActualName = "Discretizers";
503    }
504    private void ParameterizeGeneticAlgorithmMainLoop() {
505      GeneticAlgorithmMainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
506      GeneticAlgorithmMainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
507      GeneticAlgorithmMainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
508    }
509    private void ParameterizeStochasticOperator(IOperator op) {
510      IStochasticOperator stochasticOp = op as IStochasticOperator;
511      if (stochasticOp != null) {
512        stochasticOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
513        stochasticOp.RandomParameter.Hidden = true;
514      }
515    }
516    private void ParameterizeMDLOperator(IOperator op) {
517      IMDLCalculatorBasedOperator stochasticOp = op as IMDLCalculatorBasedOperator;
518      if (stochasticOp != null) {
519        stochasticOp.MDLCalculatorParameter.ActualName = MDLIterationOperatorParameter.Value.MDLCalculatorParameter.ActualName;
520      }
521    }
522    private void ParameterizeSelectors() {
523      foreach (INichingSingleObjectiveSelector selector in SelectorParameter.ValidValues) {
524        selector.CopySelected = new BoolValue(true);
525        selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSizeParameter.Value.Value - ElitesParameter.Value.Value));
526        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
527        selector.ParentsPerChildParameter.Value = new IntValue(2);
528        ParameterizeStochasticOperator(selector);
529      }
530      if (Problem != null) {
531        foreach (INichingSingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<INichingSingleObjectiveSelector>()) {
532          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
533          selector.MaximizationParameter.Hidden = true;
534          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
535          selector.QualityParameter.Hidden = true;
536          selector.NichingParameter.ActualName = Problem.NichingParameterName;
537          selector.GAssistNichesProblemDataParameter.ActualName = Problem.ProblemDataParameter.Name;
538          //change
539          selector.IndividualParameter.ActualName = "DecisionList";
540        }
541      }
542    }
543    private void ParameterizeAnalyzers() {
544      qualityAnalyzer.ResultsParameter.ActualName = "Results";
545      qualityAnalyzer.ResultsParameter.Hidden = true;
546      if (Problem != null) {
547        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
548        qualityAnalyzer.MaximizationParameter.Hidden = true;
549        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
550        qualityAnalyzer.QualityParameter.Depth = 1;
551        qualityAnalyzer.QualityParameter.Hidden = true;
552        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
553        qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
554      }
555    }
556    private void ParameterizeIterationBasedOperators(IOperator op) {
557      IIterationBasedOperator iterationOp = op as IIterationBasedOperator;
558      if (iterationOp != null) {
559        ParameterizeIterationBasedOperators(iterationOp);
560      }
561    }
562    private void ParameterizeIterationBasedOperators(IIterationBasedOperator op) {
563      op.IterationsParameter.ActualName = "Generations";
564      op.IterationsParameter.Hidden = true;
565      op.MaximumIterationsParameter.ActualName = "MaximumGenerations";
566      op.MaximumIterationsParameter.Hidden = true;
567    }
568    private void ParameterizeIterationBasedOperators() {
569      if (Problem != null) {
570        foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
571          ParameterizeIterationBasedOperators(op);
572        }
573      }
574    }
575    private void UpdateDefaultRuleOperators() {
576      IDefaultRuleOperator oldDefaultRule = DefaultRuleParameter.Value;
577      DefaultRuleParameter.ValidValues.Clear();
578      IDefaultRuleOperator defaultdefaultRule = Problem.Operators.OfType<IDefaultRuleOperator>().FirstOrDefault();
579
580      foreach (IDefaultRuleOperator defaultRule in Problem.Operators.OfType<IDefaultRuleOperator>().OrderBy(x => x.Name))
581        DefaultRuleParameter.ValidValues.Add(defaultRule);
582
583      if (oldDefaultRule != null) {
584        IDefaultRuleOperator defaultRule = DefaultRuleParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldDefaultRule.GetType());
585        if (defaultRule != null) DefaultRuleParameter.Value = defaultRule;
586        else oldDefaultRule = null;
587      }
588      if (oldDefaultRule == null && defaultdefaultRule != null)
589        DefaultRuleParameter.Value = defaultdefaultRule;
590    }
591    private void UpdateCrossovers() {
592      ICrossover oldCrossover = CrossoverParameter.Value;
593      CrossoverParameter.ValidValues.Clear();
594      ICrossover defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
595
596      foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
597        CrossoverParameter.ValidValues.Add(crossover);
598
599      if (oldCrossover != null) {
600        ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
601        if (crossover != null) CrossoverParameter.Value = crossover;
602        else oldCrossover = null;
603      }
604      if (oldCrossover == null && defaultCrossover != null)
605        CrossoverParameter.Value = defaultCrossover;
606    }
607    private void UpdateMutators() {
608      IManipulator oldMutator = MutatorParameter.Value;
609      MutatorParameter.ValidValues.Clear();
610      IManipulator defaultMutator = Problem.Operators.OfType<IManipulator>().FirstOrDefault();
611
612      foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
613        MutatorParameter.ValidValues.Add(mutator);
614      if (oldMutator != null) {
615        IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
616        if (mutator != null) MutatorParameter.Value = mutator;
617      }
618      if (oldMutator == null && defaultMutator != null)
619        MutatorParameter.Value = defaultMutator;
620    }
621    private void UpdateAnalyzers() {
622      Analyzer.Operators.Clear();
623      if (Problem != null) {
624        foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
625          foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
626            param.Depth = 1;
627          Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
628        }
629      }
630      Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
631    }
632    private GAssistMainLoop FindMainLoop(IOperator start) {
633      IOperator mainLoop = start;
634      while (mainLoop != null && !(mainLoop is GAssistMainLoop))
635        mainLoop = ((SingleSuccessorOperator)mainLoop).Successor;
636      if (mainLoop == null) return null;
637      else return (GAssistMainLoop)mainLoop;
638    }
639    #endregion
640  }
641}
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