source: branches/ALPS/HeuristicLab.Algorithms.ALPS/3.3/AlpsGeneticAlgorithm.cs @ 12993

Last change on this file since 12993 was 12993, checked in by pfleck, 4 years ago

#2269 Removed Alps base class and integrated the code in AlpsGeneticAlgorithm.

File size: 33.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Analysis;
26using HeuristicLab.Collections;
27using HeuristicLab.Common;
28using HeuristicLab.Core;
29using HeuristicLab.Data;
30using HeuristicLab.Operators;
31using HeuristicLab.Optimization;
32using HeuristicLab.Optimization.Operators;
33using HeuristicLab.Parameters;
34using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
35using HeuristicLab.PluginInfrastructure;
36using HeuristicLab.Random;
37using HeuristicLab.Selection;
38
39namespace HeuristicLab.Algorithms.ALPS {
40  [Item("ALPS Genetic Algorithm", "A genetic algorithm with an age-layered population structure.")]
41  [Creatable("Algorithms")]
42  [StorableClass]
43  public sealed class AlpsGeneticAlgorithm : 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 IValueParameter<IntValue> SeedParameter {
58      get { return (IValueParameter<IntValue>)Parameters["Seed"]; }
59    }
60    private IValueParameter<BoolValue> SetSeedRandomlyParameter {
61      get { return (IValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
62    }
63
64    private IFixedValueParameter<MultiAnalyzer> AnalyzerParameter {
65      get { return (IFixedValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
66    }
67    private IFixedValueParameter<MultiAnalyzer> LayerAnalyzerParameter {
68      get { return (IFixedValueParameter<MultiAnalyzer>)Parameters["LayerAnalyzer"]; }
69    }
70
71    private IValueParameter<IntValue> NumberOfLayersParameter {
72      get { return (IValueParameter<IntValue>)Parameters["NumberOfLayers"]; }
73    }
74    private IValueParameter<IntValue> PopulationSizeParameter {
75      get { return (IValueParameter<IntValue>)Parameters["PopulationSize"]; }
76    }
77
78    public IConstrainedValueParameter<ISelector> SelectorParameter {
79      get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
80    }
81    public IConstrainedValueParameter<ICrossover> CrossoverParameter {
82      get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
83    }
84    public IConstrainedValueParameter<IManipulator> MutatorParameter {
85      get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
86    }
87    private IValueParameter<PercentValue> MutationProbabilityParameter {
88      get { return (IValueParameter<PercentValue>)Parameters["MutationProbability"]; }
89    }
90    private IValueParameter<IntValue> ElitesParameter {
91      get { return (IValueParameter<IntValue>)Parameters["Elites"]; }
92    }
93    private IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
94      get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
95    }
96    private IValueParameter<BoolValue> PlusSelectionParameter {
97      get { return (IValueParameter<BoolValue>)Parameters["PlusSelection"]; }
98    }
99
100    private IValueParameter<EnumValue<AgingScheme>> AgingSchemeParameter {
101      get { return (IValueParameter<EnumValue<AgingScheme>>)Parameters["AgingScheme"]; }
102    }
103    private IValueParameter<IntValue> AgeGapParameter {
104      get { return (IValueParameter<IntValue>)Parameters["AgeGap"]; }
105    }
106    private IValueParameter<EnumValue<AgeInheritance>> AgeInheritanceParameter {
107      get { return (IValueParameter<EnumValue<AgeInheritance>>)Parameters["AgeInheritance"]; }
108    }
109    private IValueParameter<ReductionOperation> AgeInheritanceReductionParameter {
110      get { return (IValueParameter<ReductionOperation>)Parameters["AgeInheritanceReduction"]; }
111    }
112    private IValueParameter<IntArray> AgeLimitsParameter {
113      get { return (IValueParameter<IntArray>)Parameters["AgeLimits"]; }
114    }
115
116    private IValueParameter<IntValue> MatingPoolRangeParameter {
117      get { return (IValueParameter<IntValue>)Parameters["MatingPoolRange"]; }
118    }
119    private IValueParameter<PercentValue> MatingPoolSelectionPercentageParameter {
120      get { return (IValueLookupParameter<PercentValue>)Parameters["MatingPoolSelectionPercentage"]; }
121    }
122
123    private IValueParameter<MultiTerminator> TerminatorParameter {
124      get { return (IValueParameter<MultiTerminator>)Parameters["Terminator"]; }
125    }
126    #endregion
127
128    #region Properties
129    public IntValue Seed {
130      get { return SeedParameter.Value; }
131      set { SeedParameter.Value = value; }
132    }
133    public BoolValue SetSeedRandomly {
134      get { return SetSeedRandomlyParameter.Value; }
135      set { SetSeedRandomlyParameter.Value = value; }
136    }
137
138    public MultiAnalyzer Analyzer {
139      get { return AnalyzerParameter.Value; }
140    }
141    public MultiAnalyzer LayerAnalyzer {
142      get { return LayerAnalyzerParameter.Value; }
143    }
144
145    public IntValue NumberOfLayers {
146      get { return NumberOfLayersParameter.Value; }
147      set { NumberOfLayersParameter.Value = value; }
148    }
149    public IntValue PopulationSize {
150      get { return PopulationSizeParameter.Value; }
151      set { PopulationSizeParameter.Value = value; }
152    }
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 IManipulator Mutator {
163      get { return MutatorParameter.Value; }
164      set { MutatorParameter.Value = value; }
165    }
166    public PercentValue MutationProbability {
167      get { return MutationProbabilityParameter.Value; }
168      set { MutationProbabilityParameter.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 bool PlusSelection {
179      get { return PlusSelectionParameter.Value.Value; }
180      set { PlusSelectionParameter.Value.Value = value; }
181    }
182
183    public EnumValue<AgingScheme> AgingScheme {
184      get { return AgingSchemeParameter.Value; }
185      set { AgingSchemeParameter.Value = value; }
186    }
187    public IntValue AgeGap {
188      get { return AgeGapParameter.Value; }
189      set { AgeGapParameter.Value = value; }
190    }
191    public EnumValue<AgeInheritance> AgeInheritance {
192      get { return AgeInheritanceParameter.Value; }
193      set { AgeInheritanceParameter.Value = value; }
194    }
195    private ReductionOperation AgeInheritanceReduction {
196      get { return AgeInheritanceReductionParameter.Value; }
197      set { AgeInheritanceReductionParameter.Value = value; }
198    }
199    public IntArray AgeLimits {
200      get { return AgeLimitsParameter.Value; }
201      set { AgeLimitsParameter.Value = value; }
202    }
203
204    public IntValue MatingPoolRange {
205      get { return MatingPoolRangeParameter.Value; }
206      set { MatingPoolRangeParameter.Value = value; }
207    }
208    public PercentValue MatingPoolSelectionPercentage {
209      get { return MatingPoolSelectionPercentageParameter.Value; }
210      set { MatingPoolSelectionPercentageParameter.Value = value; }
211    }
212
213    public MultiTerminator Terminators {
214      get { return TerminatorParameter.Value; }
215    }
216
217    public int MaximumGenerations {
218      get { return generationsTerminator.Threshold.Value; }
219      set { generationsTerminator.Threshold.Value = value; }
220    }
221    #endregion
222
223    #region Helper Properties
224    private RandomCreator GlobalRandomCreator {
225      get { return (RandomCreator)OperatorGraph.InitialOperator; }
226    }
227    private SolutionsCreator SolutionsCreator {
228      get { return OperatorGraph.Iterate().OfType<SolutionsCreator>().First(); }
229    }
230    private AlpsGeneticAlgorithmMainLoop MainLoop {
231      get { return OperatorGraph.Iterate().OfType<AlpsGeneticAlgorithmMainLoop>().First(); }
232    }
233    #endregion
234
235    #region Preconfigured Analyzers
236    [Storable]
237    private BestAverageWorstQualityAnalyzer qualityAnalyzer;
238    [Storable]
239    private BestAverageWorstQualityAnalyzer layerQualityAnalyzer;
240    #endregion
241
242    #region Preconfigured Terminators
243    [Storable]
244    private ComparisonTerminator<IntValue> generationsTerminator;
245    [Storable]
246    private ComparisonTerminator<IntValue> evaluationsTerminator;
247    [Storable]
248    private SingleObjectiveQualityTerminator qualityTerminator;
249    [Storable]
250    private ExecutionTimeTerminator executionTimeTerminator;
251    #endregion
252
253    [StorableConstructor]
254    private AlpsGeneticAlgorithm(bool deserializing)
255      : base(deserializing) { }
256    [StorableHook(HookType.AfterDeserialization)]
257    private void AfterDeserialization() {
258      Initialize();
259    }
260    private AlpsGeneticAlgorithm(AlpsGeneticAlgorithm original, Cloner cloner)
261      : base(original, cloner) {
262      qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
263      layerQualityAnalyzer = cloner.Clone(original.layerQualityAnalyzer);
264      generationsTerminator = cloner.Clone(original.generationsTerminator);
265      evaluationsTerminator = cloner.Clone(original.evaluationsTerminator);
266      qualityTerminator = cloner.Clone(original.qualityTerminator);
267      executionTimeTerminator = cloner.Clone(original.executionTimeTerminator);
268      Initialize();
269    }
270    public override IDeepCloneable Clone(Cloner cloner) {
271      return new AlpsGeneticAlgorithm(this, cloner);
272    }
273    public AlpsGeneticAlgorithm()
274      : base() {
275      #region Add parameters
276      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
277      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
278
279      Parameters.Add(new FixedValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
280      Parameters.Add(new FixedValueParameter<MultiAnalyzer>("LayerAnalyzer", "The operator used to analyze each layer.", new MultiAnalyzer()));
281
282      Parameters.Add(new ValueParameter<IntValue>("NumberOfLayers", "The number of layers.", new IntValue(10)));
283      Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions each layer.", new IntValue(100)));
284
285      Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
286      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
287      Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
288      Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
289      Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
290      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 });
291      Parameters.Add(new ValueParameter<BoolValue>("PlusSelection", "Include the parents in the selection of the invividuals for the next generation.", new BoolValue(false)) { Hidden = true });
292
293      Parameters.Add(new ValueParameter<EnumValue<AgingScheme>>("AgingScheme", "The aging scheme for setting the age-limits for the layers.", new EnumValue<AgingScheme>(ALPS.AgingScheme.Polynomial)));
294      Parameters.Add(new ValueParameter<IntValue>("AgeGap", "The frequency of reseeding the lowest layer and scaling factor for the age-limits for the layers", new IntValue(20)));
295      Parameters.Add(new ValueParameter<EnumValue<AgeInheritance>>("AgeInheritance", "The operator for determining the age of an offspring based the parents' age.", new EnumValue<AgeInheritance>(ALPS.AgeInheritance.Older)));
296      Parameters.Add(new ValueParameter<ReductionOperation>("AgeInheritanceReduction") { Hidden = true });
297      Parameters.Add(new ValueParameter<IntArray>("AgeLimits", new IntArray(new int[0])) { Hidden = true });
298
299      Parameters.Add(new ValueParameter<IntValue>("MatingPoolRange", "The range of layers used for creating a mating pool. (1 = current + previous layer)", new IntValue(1)) { Hidden = true });
300      Parameters.Add(new ValueParameter<PercentValue>("MatingPoolSelectionPercentage", "Percentage of the previous layers used for creating a mating pool.", new PercentValue(1.0, restrictToUnitInterval: true)) { Hidden = true });
301
302      Parameters.Add(new ValueParameter<MultiTerminator>("Terminator", "The termination criteria which sould be checked.", new MultiTerminator()));
303      #endregion
304
305      #region Create operators
306      var globalRandomCreator = new RandomCreator();
307      var layer0Creator = new SubScopesCreator() { Name = "Create Layer Zero" };
308      var layer0Processor = new UniformSubScopesProcessor();
309      var localRandomCreator = new LocalRandomCreator();
310      var layerVariableCreator = new VariableCreator();
311      var layerSolutionsCreator = new SolutionsCreator();
312      var initializeAgeProcessor = new UniformSubScopesProcessor();
313      var initializeAge = new VariableCreator() { Name = "Initialize Age" };
314      var initializeLayerPopulationSize = new SubScopesCounter() { Name = "Init LayerPopulationCounter" };
315      var initializeLocalEvaluatedSolutions = new Assigner() { Name = "Initialize LayerEvaluatedSolutions" };
316      var initializeGlobalEvaluatedSolutions = new DataReducer() { Name = "Initialize EvaluatedSolutions" };
317      var resultsCollector = new ResultsCollector();
318      var mainLoop = new AlpsGeneticAlgorithmMainLoop();
319      #endregion
320
321      #region Create and parameterize operator graph
322      OperatorGraph.InitialOperator = globalRandomCreator;
323
324      globalRandomCreator.RandomParameter.ActualName = "GlobalRandom";
325      globalRandomCreator.SeedParameter.Value = null;
326      globalRandomCreator.SetSeedRandomlyParameter.Value = null;
327      globalRandomCreator.Successor = layer0Creator;
328
329      layer0Creator.NumberOfSubScopesParameter.Value = new IntValue(1);
330      layer0Creator.Successor = layer0Processor;
331
332      layer0Processor.Operator = localRandomCreator;
333      layer0Processor.Successor = initializeGlobalEvaluatedSolutions;
334
335      localRandomCreator.Successor = layerVariableCreator;
336
337      layerVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Layer", new IntValue(0)));
338      layerVariableCreator.Successor = layerSolutionsCreator;
339
340      layerSolutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
341      layerSolutionsCreator.Successor = initializeAgeProcessor;
342
343      initializeAgeProcessor.Operator = initializeAge;
344      initializeAgeProcessor.Successor = initializeLayerPopulationSize;
345
346      initializeLayerPopulationSize.ValueParameter.ActualName = "LayerPopulationSize";
347      initializeLayerPopulationSize.Successor = initializeLocalEvaluatedSolutions;
348
349      initializeAge.CollectedValues.Add(new ValueParameter<IntValue>("Age", new IntValue(0)));
350      initializeAge.Successor = null;
351
352      initializeLocalEvaluatedSolutions.LeftSideParameter.ActualName = "LayerEvaluatedSolutions";
353      initializeLocalEvaluatedSolutions.RightSideParameter.ActualName = "LayerPopulationSize";
354      initializeLocalEvaluatedSolutions.Successor = null;
355
356      initializeGlobalEvaluatedSolutions.ReductionOperation.Value.Value = ReductionOperations.Sum;
357      initializeGlobalEvaluatedSolutions.TargetOperation.Value.Value = ReductionOperations.Assign;
358      initializeGlobalEvaluatedSolutions.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
359      initializeGlobalEvaluatedSolutions.TargetParameter.ActualName = "EvaluatedSolutions";
360      initializeGlobalEvaluatedSolutions.Successor = resultsCollector;
361
362      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
363      resultsCollector.Successor = mainLoop;
364      #endregion
365
366      #region Set selectors
367      foreach (var selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(s => !(s is IMultiObjectiveSelector)).OrderBy(s => Name))
368        SelectorParameter.ValidValues.Add(selector);
369      var defaultSelector = SelectorParameter.ValidValues.OfType<GeneralizedRankSelector>().FirstOrDefault();
370      if (defaultSelector != null) {
371        defaultSelector.PressureParameter.Value = new DoubleValue(4);
372        SelectorParameter.Value = defaultSelector;
373      }
374      #endregion
375
376      #region Create analyzers
377      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
378      layerQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
379      #endregion
380
381      #region Create terminators
382      generationsTerminator = new ComparisonTerminator<IntValue>("Generations", ComparisonType.Less, new IntValue(1000)) { Name = "Generations" };
383      evaluationsTerminator = new ComparisonTerminator<IntValue>("EvaluatedSolutions", ComparisonType.Less, new IntValue(int.MaxValue)) { Name = "Evaluations" };
384      qualityTerminator = new SingleObjectiveQualityTerminator() { Name = "Quality" };
385      executionTimeTerminator = new ExecutionTimeTerminator(this, new TimeSpanValue(TimeSpan.FromMinutes(5)));
386      #endregion
387
388      #region Parameterize
389      ParameterizeAnalyzers();
390      UpdateAnalyzers();
391
392      ParameterizeSelectors();
393
394      UpdateTerminators();
395
396      ParameterizeAgeLimits();
397      ParameterizeAgeInheritanceReduction();
398      #endregion
399
400      Initialize();
401    }
402
403    #region Events
404    public override void Prepare() {
405      if (Problem != null)
406        base.Prepare();
407    }
408    protected override void OnProblemChanged() {
409      base.OnProblemChanged();
410      ParameterizeStochasticOperator(Problem.SolutionCreator);
411      ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
412      foreach (var @operator in Problem.Operators.OfType<IOperator>())
413        ParameterizeStochasticOperator(@operator);
414
415      ParameterizeIterationBasedOperators();
416
417      ParameterizeSolutionsCreator();
418      ParameterizeMainLoop();
419      ParameterizeAnalyzers();
420      ParameterizeSelectors();
421      ParameterizeTerminators();
422
423      Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
424
425      UpdateAnalyzers();
426      UpdateCrossovers();
427      UpdateMutators();
428      UpdateTerminators();
429    }
430
431    protected override void RegisterProblemEvents() {
432      base.RegisterProblemEvents();
433      var maximizationParameter = (IValueParameter<BoolValue>)Problem.MaximizationParameter;
434      if (maximizationParameter != null) maximizationParameter.ValueChanged += new EventHandler(MaximizationParameter_ValueChanged);
435    }
436    protected override void DeregisterProblemEvents() {
437      var maximizationParameter = (IValueParameter<BoolValue>)Problem.MaximizationParameter;
438      if (maximizationParameter != null) maximizationParameter.ValueChanged -= new EventHandler(MaximizationParameter_ValueChanged);
439      base.DeregisterProblemEvents();
440    }
441
442    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
443      base.Problem_SolutionCreatorChanged(sender, e);
444      ParameterizeStochasticOperator(Problem.SolutionCreator);
445      ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
446
447      Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
448
449      ParameterizeSolutionsCreator();
450      ParameterizeAnalyzers();
451    }
452    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
453      base.Problem_EvaluatorChanged(sender, e);
454      foreach (var @operator in Problem.Operators.OfType<IOperator>())
455        ParameterizeStochasticOperator(@operator);
456
457      UpdateAnalyzers();
458
459      ParameterizeSolutionsCreator();
460      ParameterizeMainLoop();
461      ParameterizeSelectors();
462    }
463    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
464      base.Problem_OperatorsChanged(sender, e);
465      ParameterizeIterationBasedOperators();
466      UpdateCrossovers();
467      UpdateMutators();
468      UpdateTerminators();
469    }
470    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
471      ParameterizeMainLoop();
472      ParameterizeAnalyzers();
473      ParameterizeSelectors();
474    }
475    private void MaximizationParameter_ValueChanged(object sender, EventArgs e) {
476      ParameterizeTerminators();
477    }
478    private void QualityAnalyzer_CurrentBestQualityParameter_NameChanged(object sender, EventArgs e) {
479      ParameterizeTerminators();
480    }
481
482    private void AgeGapParameter_ValueChanged(object sender, EventArgs e) {
483      AgeGap.ValueChanged += AgeGap_ValueChanged;
484      ParameterizeAgeLimits();
485    }
486    private void AgeGap_ValueChanged(object sender, EventArgs e) {
487      ParameterizeAgeLimits();
488    }
489    private void AgingSchemeParameter_ValueChanged(object sender, EventArgs e) {
490      AgingScheme.ValueChanged += AgingScheme_ValueChanged;
491      ParameterizeAgeLimits();
492    }
493    private void AgingScheme_ValueChanged(object sender, EventArgs e) {
494      ParameterizeAgeLimits();
495    }
496    private void NumberOfLayersParameter_ValueChanged(object sender, EventArgs e) {
497      NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
498      ParameterizeAgeLimits();
499    }
500    private void NumberOfLayers_ValueChanged(object sender, EventArgs e) {
501      ParameterizeAgeLimits();
502    }
503    private void AgeInheritanceParameter_ValueChanged(object sender, EventArgs e) {
504      AgeInheritance.ValueChanged += AgeInheritance_ValueChanged;
505      ParameterizeAgeInheritanceReduction();
506    }
507    private void AgeInheritance_ValueChanged(object sender, EventArgs e) {
508      ParameterizeAgeInheritanceReduction();
509    }
510
511    private void AnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
512      foreach (var analyzer in e.Items) {
513        foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
514          parameter.Depth = 2;
515        }
516      }
517    }
518    private void LayerAnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
519      foreach (var analyzer in e.Items) {
520        IParameter resultParameter;
521        if (analyzer.Value.Parameters.TryGetValue("Results", out resultParameter)) {
522          var lookupParameter = resultParameter as ILookupParameter;
523          if (lookupParameter != null)
524            lookupParameter.ActualName = "LayerResults";
525        }
526        foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
527          parameter.Depth = 1;
528        }
529      }
530    }
531    #endregion
532
533    #region Parameterization
534    private void Initialize() {
535      if (Problem != null)
536        Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
537
538      NumberOfLayersParameter.ValueChanged += NumberOfLayersParameter_ValueChanged;
539      NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
540
541      Analyzer.Operators.ItemsAdded += AnalyzerOperators_ItemsAdded;
542      LayerAnalyzer.Operators.ItemsAdded += LayerAnalyzerOperators_ItemsAdded;
543
544      AgeGapParameter.ValueChanged += AgeGapParameter_ValueChanged;
545      AgeGap.ValueChanged += AgeGap_ValueChanged;
546      AgingSchemeParameter.ValueChanged += AgingSchemeParameter_ValueChanged;
547      AgingScheme.ValueChanged += AgingScheme_ValueChanged;
548      AgeInheritanceParameter.ValueChanged += AgeInheritanceParameter_ValueChanged;
549      AgeInheritance.ValueChanged += AgeInheritance_ValueChanged;
550
551      qualityAnalyzer.CurrentBestQualityParameter.NameChanged += new EventHandler(QualityAnalyzer_CurrentBestQualityParameter_NameChanged);
552    }
553    private void ParameterizeSolutionsCreator() {
554      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
555      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
556      MainLoop.LayerUpdator.SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
557      MainLoop.LayerUpdator.SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
558    }
559    private void ParameterizeMainLoop() {
560      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
561      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
562      MainLoop.MainOperator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
563      MainLoop.MainOperator.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
564      MainLoop.MainOperator.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
565      MainLoop.LayerUpdator.SolutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
566    }
567    private void ParameterizeAnalyzers() {
568      qualityAnalyzer.ResultsParameter.ActualName = "Results";
569      qualityAnalyzer.ResultsParameter.Hidden = true;
570      qualityAnalyzer.QualityParameter.Depth = 2;
571      layerQualityAnalyzer.ResultsParameter.ActualName = "Results";
572      layerQualityAnalyzer.ResultsParameter.Hidden = true;
573      layerQualityAnalyzer.QualityParameter.Depth = 1;
574      if (Problem != null) {
575        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
576        qualityAnalyzer.MaximizationParameter.Hidden = true;
577        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
578        qualityAnalyzer.QualityParameter.Hidden = true;
579        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
580        qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
581        layerQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
582        layerQualityAnalyzer.MaximizationParameter.Hidden = true;
583        layerQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
584        layerQualityAnalyzer.QualityParameter.Hidden = true;
585        layerQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
586        layerQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
587      }
588    }
589    private void ParameterizeSelectors() {
590      foreach (var selector in SelectorParameter.ValidValues) {
591        selector.CopySelected = new BoolValue(true);
592        // Explicit setting of NumberOfSelectedSubScopesParameter is not required anymore because the NumberOfSelectedSubScopesCalculator calculates it itself
593        //selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize - Elites.Value));
594        selector.NumberOfSelectedSubScopesParameter.Hidden = true;
595        ParameterizeStochasticOperatorForLayer(selector);
596      }
597      if (Problem != null) {
598        foreach (var selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
599          selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
600          selector.MaximizationParameter.Hidden = true;
601          selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
602          selector.QualityParameter.Hidden = true;
603        }
604      }
605    }
606    private void ParameterizeTerminators() {
607      qualityTerminator.Parameterize(qualityAnalyzer.CurrentBestQualityParameter, Problem);
608    }
609    private void ParameterizeIterationBasedOperators() {
610      if (Problem != null) {
611        foreach (var @operator in Problem.Operators.OfType<IIterationBasedOperator>()) {
612          @operator.IterationsParameter.ActualName = "Generations";
613          @operator.IterationsParameter.Hidden = true;
614          @operator.MaximumIterationsParameter.ActualName = generationsTerminator.ThresholdParameter.Name;
615          @operator.MaximumIterationsParameter.Hidden = true;
616        }
617      }
618    }
619    private void ParameterizeAgeInheritanceReduction() {
620      AgeInheritanceReduction.Value = GetAgeInheritanceReduction(AgeInheritance.Value);
621    }
622    private void ParameterizeAgeLimits() {
623      var scheme = AgingScheme.Value;
624      int ageGap = AgeGap.Value;
625      int numberOfLayers = NumberOfLayers.Value;
626      AgeLimits = scheme.CalculateAgeLimits(ageGap, numberOfLayers);
627    }
628
629    private void ParameterizeStochasticOperator(IOperator @operator) {
630      var stochasticOperator = @operator as IStochasticOperator;
631      if (stochasticOperator != null) {
632        stochasticOperator.RandomParameter.ActualName = "GlobalRandom";
633        stochasticOperator.RandomParameter.Hidden = true;
634      }
635    }
636
637    private void ParameterizeStochasticOperatorForLayer(IOperator @operator) {
638      var stochasticOperator = @operator as IStochasticOperator;
639      if (stochasticOperator != null) {
640        stochasticOperator.RandomParameter.ActualName = "LocalRandom";
641        stochasticOperator.RandomParameter.Hidden = true;
642      }
643    }
644
645    private ReductionOperations GetAgeInheritanceReduction(AgeInheritance ageInheritance) {
646      switch (ageInheritance) {
647        case ALPS.AgeInheritance.Older: return ReductionOperations.Max;
648        case ALPS.AgeInheritance.Agerage: return ReductionOperations.Avg;
649        case ALPS.AgeInheritance.Younger: return ReductionOperations.Min;
650        default: throw new NotSupportedException("AgeInheritance " + ageInheritance + " is not supported.");
651      }
652    }
653    #endregion
654
655    #region Updates
656    private void UpdateAnalyzers() {
657      Analyzer.Operators.Clear();
658      LayerAnalyzer.Operators.Clear();
659
660      Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
661      LayerAnalyzer.Operators.Add(layerQualityAnalyzer, layerQualityAnalyzer.EnabledByDefault);
662
663      if (Problem != null) {
664        foreach (var analyzer in Problem.Operators.OfType<IAnalyzer>()) {
665          Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
666        }
667      }
668    }
669    private void UpdateCrossovers() {
670      var oldCrossover = CrossoverParameter.Value;
671      var defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
672      CrossoverParameter.ValidValues.Clear();
673      foreach (var crossover in Problem.Operators.OfType<ICrossover>().OrderBy(c => c.Name)) {
674        ParameterizeStochasticOperatorForLayer(crossover);
675        CrossoverParameter.ValidValues.Add(crossover);
676      }
677      if (oldCrossover != null) {
678        var crossover = CrossoverParameter.ValidValues.FirstOrDefault(c => c.GetType() == oldCrossover.GetType());
679        if (crossover != null)
680          CrossoverParameter.Value = crossover;
681        else
682          oldCrossover = null;
683      }
684      if (oldCrossover == null && defaultCrossover != null)
685        CrossoverParameter.Value = defaultCrossover;
686    }
687    private void UpdateMutators() {
688      var oldMutator = MutatorParameter.Value;
689      MutatorParameter.ValidValues.Clear();
690      foreach (var mutator in Problem.Operators.OfType<IManipulator>().OrderBy(m => m.Name)) {
691        ParameterizeStochasticOperatorForLayer(mutator);
692        MutatorParameter.ValidValues.Add(mutator);
693      }
694      if (oldMutator != null) {
695        var mutator = MutatorParameter.ValidValues.FirstOrDefault(m => m.GetType() == oldMutator.GetType());
696        if (mutator != null)
697          MutatorParameter.Value = mutator;
698      }
699    }
700    private void UpdateTerminators() {
701      var newTerminators = new Dictionary<ITerminator, bool> {
702        {generationsTerminator, !Terminators.Operators.Contains(generationsTerminator) || Terminators.Operators.ItemChecked(generationsTerminator)},
703        {evaluationsTerminator, Terminators.Operators.Contains(evaluationsTerminator) && Terminators.Operators.ItemChecked(evaluationsTerminator)},
704        {qualityTerminator, Terminators.Operators.Contains(qualityTerminator) && Terminators.Operators.ItemChecked(qualityTerminator) },
705        {executionTimeTerminator, Terminators.Operators.Contains(executionTimeTerminator) && Terminators.Operators.ItemChecked(executionTimeTerminator)}
706      };
707      if (Problem != null) {
708        foreach (var terminator in Problem.Operators.OfType<ITerminator>())
709          newTerminators.Add(terminator, !Terminators.Operators.Contains(terminator) || Terminators.Operators.ItemChecked(terminator));
710      }
711
712      Terminators.Operators.Clear();
713
714      foreach (var newTerminator in newTerminators)
715        Terminators.Operators.Add(newTerminator.Key, newTerminator.Value);
716    }
717    #endregion
718  }
719}
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