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source: stable/HeuristicLab.Algorithms.CMAEvolutionStrategy/3.4/CMAEvolutionStrategy.cs @ 17107

Last change on this file since 17107 was 17097, checked in by mkommend, 5 years ago

#2520: Merged 16565 - 16579 into stable.
File size: 33.6 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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.Encodings.RealVectorEncoding;
29using HeuristicLab.Operators;
30using HeuristicLab.Optimization;
31using HeuristicLab.Optimization.Operators;
32using HeuristicLab.Parameters;
33using HEAL.Attic;
34using HeuristicLab.PluginInfrastructure;
35using HeuristicLab.Random;
36
37namespace HeuristicLab.Algorithms.CMAEvolutionStrategy {
38  [Item("CMA Evolution Strategy (CMAES)", "An evolution strategy based on covariance matrix adaptation.")]
39  [Creatable(CreatableAttribute.Categories.PopulationBasedAlgorithms, Priority = 210)]
40  [StorableType("92CB2910-2D63-49A4-94DE-54DBA0CF2180")]
41  public sealed class CMAEvolutionStrategy : HeuristicOptimizationEngineAlgorithm, IStorableContent {
42    public string Filename { get; set; }
43    #region Strings
44    private const string SeedName = "Seed";
45    private const string SetSeedRandomlyName = "SetSeedRandomly";
46    private const string PopulationSizeName = "PopulationSize";
47    private const string InitialIterationsName = "InitialIterations";
48    private const string InitialSigmaName = "InitialSigma";
49    private const string MuName = "Mu";
50    private const string CMAInitializerName = "CMAInitializer";
51    private const string CMAMutatorName = "CMAMutator";
52    private const string CMARecombinatorName = "CMARecombinator";
53    private const string CMAUpdaterName = "CMAUpdater";
54    private const string AnalyzerName = "Analyzer";
55    private const string MaximumGenerationsName = "MaximumGenerations";
56    private const string MaximumEvaluatedSolutionsName = "MaximumEvaluatedSolutions";
57    private const string TargetQualityName = "TargetQuality";
58    private const string MinimumQualityChangeName = "MinimumQualityChange";
59    private const string MinimumQualityHistoryChangeName = "MinimumQualityHistoryChange";
60    private const string MinimumStandardDeviationName = "MinimumStandardDeviation";
61    private const string MaximumStandardDeviationChangeName = "MaximumStandardDeviationChange";
62    #endregion
63
64    #region Problem Properties
65    public override Type ProblemType {
66      get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
67    }
68    public new ISingleObjectiveHeuristicOptimizationProblem Problem {
69      get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; }
70      set { base.Problem = value; }
71    }
72    #endregion
73
74    #region Parameter Properties
75    public IValueParameter<MultiAnalyzer> AnalyzerParameter {
76      get { return (IValueParameter<MultiAnalyzer>)Parameters[AnalyzerName]; }
77    }
78    private IFixedValueParameter<IntValue> SeedParameter {
79      get { return (IFixedValueParameter<IntValue>)Parameters[SeedName]; }
80    }
81    private IFixedValueParameter<BoolValue> SetSeedRandomlyParameter {
82      get { return (IFixedValueParameter<BoolValue>)Parameters[SetSeedRandomlyName]; }
83    }
84    private IFixedValueParameter<IntValue> PopulationSizeParameter {
85      get { return (IFixedValueParameter<IntValue>)Parameters[PopulationSizeName]; }
86    }
87    private IFixedValueParameter<IntValue> InitialIterationsParameter {
88      get { return (IFixedValueParameter<IntValue>)Parameters[InitialIterationsName]; }
89    }
90    public IValueParameter<DoubleArray> InitialSigmaParameter {
91      get { return (IValueParameter<DoubleArray>)Parameters[InitialSigmaName]; }
92    }
93    private OptionalValueParameter<IntValue> MuParameter {
94      get { return (OptionalValueParameter<IntValue>)Parameters[MuName]; }
95    }
96    public IConstrainedValueParameter<ICMAInitializer> CMAInitializerParameter {
97      get { return (IConstrainedValueParameter<ICMAInitializer>)Parameters[CMAInitializerName]; }
98    }
99    public IConstrainedValueParameter<ICMAManipulator> CMAMutatorParameter {
100      get { return (IConstrainedValueParameter<ICMAManipulator>)Parameters[CMAMutatorName]; }
101    }
102    public IConstrainedValueParameter<ICMARecombinator> CMARecombinatorParameter {
103      get { return (IConstrainedValueParameter<ICMARecombinator>)Parameters[CMARecombinatorName]; }
104    }
105    public IConstrainedValueParameter<ICMAUpdater> CMAUpdaterParameter {
106      get { return (IConstrainedValueParameter<ICMAUpdater>)Parameters[CMAUpdaterName]; }
107    }
108    private IFixedValueParameter<IntValue> MaximumGenerationsParameter {
109      get { return (IFixedValueParameter<IntValue>)Parameters[MaximumGenerationsName]; }
110    }
111    private IFixedValueParameter<IntValue> MaximumEvaluatedSolutionsParameter {
112      get { return (IFixedValueParameter<IntValue>)Parameters[MaximumEvaluatedSolutionsName]; }
113    }
114    private IFixedValueParameter<DoubleValue> TargetQualityParameter {
115      get { return (IFixedValueParameter<DoubleValue>)Parameters[TargetQualityName]; }
116    }
117    private IFixedValueParameter<DoubleValue> MinimumQualityChangeParameter {
118      get { return (IFixedValueParameter<DoubleValue>)Parameters[MinimumQualityChangeName]; }
119    }
120    private IFixedValueParameter<DoubleValue> MinimumQualityHistoryChangeParameter {
121      get { return (IFixedValueParameter<DoubleValue>)Parameters[MinimumQualityHistoryChangeName]; }
122    }
123    private IFixedValueParameter<DoubleValue> MinimumStandardDeviationParameter {
124      get { return (IFixedValueParameter<DoubleValue>)Parameters[MinimumStandardDeviationName]; }
125    }
126    private IFixedValueParameter<DoubleValue> MaximumStandardDeviationChangeParameter {
127      get { return (IFixedValueParameter<DoubleValue>)Parameters[MaximumStandardDeviationChangeName]; }
128    }
129    #endregion
130
131    #region Properties
132    public int Seed {
133      get { return SeedParameter.Value.Value; }
134      set { SeedParameter.Value.Value = value; }
135    }
136    public bool SetSeedRandomly {
137      get { return SetSeedRandomlyParameter.Value.Value; }
138      set { SetSeedRandomlyParameter.Value.Value = value; }
139    }
140    public int PopulationSize {
141      get { return PopulationSizeParameter.Value.Value; }
142      set { PopulationSizeParameter.Value.Value = value; }
143    }
144    public int InitialIterations {
145      get { return InitialIterationsParameter.Value.Value; }
146      set { InitialIterationsParameter.Value.Value = value; }
147    }
148    public int MaximumGenerations {
149      get { return MaximumGenerationsParameter.Value.Value; }
150      set { MaximumGenerationsParameter.Value.Value = value; }
151    }
152    public int MaximumEvaluatedSolutions {
153      get { return MaximumEvaluatedSolutionsParameter.Value.Value; }
154      set { MaximumEvaluatedSolutionsParameter.Value.Value = value; }
155    }
156    public double TargetQuality {
157      get { return TargetQualityParameter.Value.Value; }
158      set { TargetQualityParameter.Value.Value = value; }
159    }
160    public double MinimumQualityChange {
161      get { return MinimumQualityChangeParameter.Value.Value; }
162      set { MinimumQualityChangeParameter.Value.Value = value; }
163    }
164    public double MinimumQualityHistoryChange {
165      get { return MinimumQualityHistoryChangeParameter.Value.Value; }
166      set { MinimumQualityHistoryChangeParameter.Value.Value = value; }
167    }
168    public double MinimumStandardDeviation {
169      get { return MinimumStandardDeviationParameter.Value.Value; }
170      set { MinimumStandardDeviationParameter.Value.Value = value; }
171    }
172    public double MaximumStandardDeviationChange {
173      get { return MaximumStandardDeviationChangeParameter.Value.Value; }
174      set { MaximumStandardDeviationChangeParameter.Value.Value = value; }
175    }
176    public DoubleArray InitialSigma {
177      get { return InitialSigmaParameter.Value; }
178      set { InitialSigmaParameter.Value = value; }
179    }
180    public IntValue Mu {
181      get { return MuParameter.Value; }
182      set { MuParameter.Value = value; }
183    }
184    public ICMAInitializer CMAInitializer {
185      get { return CMAInitializerParameter.Value; }
186      set { CMAInitializerParameter.Value = value; }
187    }
188    public ICMAManipulator CMAMutator {
189      get { return CMAMutatorParameter.Value; }
190      set { CMAMutatorParameter.Value = value; }
191    }
192    public ICMARecombinator CMARecombinator {
193      get { return CMARecombinatorParameter.Value; }
194      set { CMARecombinatorParameter.Value = value; }
195    }
196    public MultiAnalyzer Analyzer {
197      get { return AnalyzerParameter.Value; }
198      set { AnalyzerParameter.Value = value; }
199    }
200    public ICMAUpdater CMAUpdater {
201      get { return CMAUpdaterParameter.Value; }
202      set { CMAUpdaterParameter.Value = value; }
203    }
204
205    private RandomCreator RandomCreator {
206      get { return (RandomCreator)OperatorGraph.InitialOperator; }
207    }
208
209    [Storable]
210    private BestAverageWorstQualityAnalyzer qualityAnalyzer;
211    [Storable]
212    private CMAAnalyzer cmaAnalyzer;
213    [Storable]
214    private Placeholder solutionCreator;
215    [Storable]
216    private Placeholder populationSolutionCreator;
217    [Storable]
218    private Placeholder evaluator;
219    [Storable]
220    private SubScopesSorter sorter;
221    [Storable]
222    private Terminator terminator;
223    #endregion
224
225    [StorableConstructor]
226    private CMAEvolutionStrategy(StorableConstructorFlag _) : base(_) { }
227    private CMAEvolutionStrategy(CMAEvolutionStrategy original, Cloner cloner)
228      : base(original, cloner) {
229      qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
230      cmaAnalyzer = cloner.Clone(original.cmaAnalyzer);
231      solutionCreator = cloner.Clone(original.solutionCreator);
232      populationSolutionCreator = cloner.Clone(original.populationSolutionCreator);
233      evaluator = cloner.Clone(original.evaluator);
234      sorter = cloner.Clone(original.sorter);
235      terminator = cloner.Clone(original.terminator);
236      RegisterEventHandlers();
237    }
238    public CMAEvolutionStrategy()
239      : base() {
240      Parameters.Add(new FixedValueParameter<IntValue>(SeedName, "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
241      Parameters.Add(new FixedValueParameter<BoolValue>(SetSeedRandomlyName, "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
242      Parameters.Add(new FixedValueParameter<IntValue>(PopulationSizeName, "λ (lambda) - the size of the offspring population.", new IntValue(20)));
243      Parameters.Add(new FixedValueParameter<IntValue>(InitialIterationsName, "The number of iterations that should be performed with only axis parallel mutation.", new IntValue(0)));
244      Parameters.Add(new FixedValueParameter<DoubleArray>(InitialSigmaName, "The initial sigma can be a single value or a value for each dimension. All values need to be > 0.", new DoubleArray(new[] { 0.5 })));
245      Parameters.Add(new OptionalValueParameter<IntValue>(MuName, "Optional, the mu best offspring that should be considered for update of the new mean and strategy parameters. If not given it will be automatically calculated."));
246      Parameters.Add(new ConstrainedValueParameter<ICMARecombinator>(CMARecombinatorName, "The operator used to calculate the new mean."));
247      Parameters.Add(new ConstrainedValueParameter<ICMAManipulator>(CMAMutatorName, "The operator used to manipulate a point."));
248      Parameters.Add(new ConstrainedValueParameter<ICMAInitializer>(CMAInitializerName, "The operator that initializes the covariance matrix and strategy parameters."));
249      Parameters.Add(new ConstrainedValueParameter<ICMAUpdater>(CMAUpdaterName, "The operator that updates the covariance matrix and strategy parameters."));
250      Parameters.Add(new ValueParameter<MultiAnalyzer>(AnalyzerName, "The operator used to analyze each generation.", new MultiAnalyzer()));
251      Parameters.Add(new FixedValueParameter<IntValue>(MaximumGenerationsName, "The maximum number of generations which should be processed.", new IntValue(1000)));
252      Parameters.Add(new FixedValueParameter<IntValue>(MaximumEvaluatedSolutionsName, "The maximum number of evaluated solutions that should be computed.", new IntValue(int.MaxValue)));
253      Parameters.Add(new FixedValueParameter<DoubleValue>(TargetQualityName, "(stopFitness) Surpassing this quality value terminates the algorithm.", new DoubleValue(double.NaN)));
254      Parameters.Add(new FixedValueParameter<DoubleValue>(MinimumQualityChangeName, "(stopTolFun) If the range of fitness values is less than a certain value the algorithm terminates (set to 0 or positive value to enable).", new DoubleValue(double.NaN)));
255      Parameters.Add(new FixedValueParameter<DoubleValue>(MinimumQualityHistoryChangeName, "(stopTolFunHist) If the range of fitness values is less than a certain value for a certain time the algorithm terminates (set to 0 or positive to enable).", new DoubleValue(double.NaN)));
256      Parameters.Add(new FixedValueParameter<DoubleValue>(MinimumStandardDeviationName, "(stopTolXFactor) If the standard deviation falls below a certain value the algorithm terminates (set to 0 or positive to enable).", new DoubleValue(double.NaN)));
257      Parameters.Add(new FixedValueParameter<DoubleValue>(MaximumStandardDeviationChangeName, "(stopTolUpXFactor) If the standard deviation changes by a value larger than this parameter the algorithm stops (set to a value > 0 to enable).", new DoubleValue(double.NaN)));
258
259      var randomCreator = new RandomCreator();
260      var variableCreator = new VariableCreator();
261      var resultsCollector = new ResultsCollector();
262      var cmaInitializer = new Placeholder();
263      solutionCreator = new Placeholder();
264      var subScopesCreator = new SubScopesCreator();
265      var ussp1 = new UniformSubScopesProcessor();
266      populationSolutionCreator = new Placeholder();
267      var cmaMutator = new Placeholder();
268      var ussp2 = new UniformSubScopesProcessor();
269      evaluator = new Placeholder();
270      var subScopesCounter = new SubScopesCounter();
271      sorter = new SubScopesSorter();
272      var analyzer = new Placeholder();
273      var cmaRecombinator = new Placeholder();
274      var generationsCounter = new IntCounter();
275      var cmaUpdater = new Placeholder();
276      terminator = new Terminator();
277
278      OperatorGraph.InitialOperator = randomCreator;
279
280      randomCreator.RandomParameter.ActualName = "Random";
281      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
282      randomCreator.SeedParameter.Value = null;
283      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
284      randomCreator.SetSeedRandomlyParameter.Value = null;
285      randomCreator.Successor = variableCreator;
286
287      variableCreator.Name = "Initialize Variables";
288      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedSolutions", new IntValue(0)));
289      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0)));
290      variableCreator.Successor = resultsCollector;
291
292      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("EvaluatedSolutions"));
293      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
294      resultsCollector.ResultsParameter.ActualName = "Results";
295      resultsCollector.Successor = cmaInitializer;
296
297      cmaInitializer.Name = "Initialize Strategy Parameters";
298      cmaInitializer.OperatorParameter.ActualName = CMAInitializerParameter.Name;
299      cmaInitializer.Successor = subScopesCreator;
300
301      subScopesCreator.NumberOfSubScopesParameter.ActualName = PopulationSizeParameter.Name;
302      subScopesCreator.Successor = ussp1;
303
304      ussp1.Name = "Create population";
305      ussp1.Parallel = new BoolValue(false);
306      ussp1.Operator = populationSolutionCreator;
307      ussp1.Successor = solutionCreator;
308
309      populationSolutionCreator.Name = "Initialize arx";
310      // populationSolutionCreator.OperatorParameter will be wired
311      populationSolutionCreator.Successor = null;
312
313      solutionCreator.Name = "Initialize xmean";
314      // solutionCreator.OperatorParameter will be wired
315      solutionCreator.Successor = cmaMutator;
316
317      cmaMutator.Name = "Sample population";
318      cmaMutator.OperatorParameter.ActualName = CMAMutatorParameter.Name;
319      cmaMutator.Successor = ussp2;
320
321      ussp2.Name = "Evaluate offspring";
322      ussp2.Parallel = new BoolValue(true);
323      ussp2.Operator = evaluator;
324      ussp2.Successor = subScopesCounter;
325
326      evaluator.Name = "Evaluator";
327      // evaluator.OperatorParameter will be wired
328      evaluator.Successor = null;
329
330      subScopesCounter.Name = "Count EvaluatedSolutions";
331      subScopesCounter.AccumulateParameter.Value = new BoolValue(true);
332      subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
333      subScopesCounter.Successor = sorter;
334
335      // sorter.ValueParameter will be wired
336      // sorter.DescendingParameter will be wired
337      sorter.Successor = analyzer;
338
339      analyzer.Name = "Analyzer";
340      analyzer.OperatorParameter.ActualName = AnalyzerParameter.Name;
341      analyzer.Successor = cmaRecombinator;
342
343      cmaRecombinator.Name = "Create new xmean";
344      cmaRecombinator.OperatorParameter.ActualName = CMARecombinatorParameter.Name;
345      cmaRecombinator.Successor = generationsCounter;
346
347      generationsCounter.Name = "Generations++";
348      generationsCounter.IncrementParameter.Value = new IntValue(1);
349      generationsCounter.ValueParameter.ActualName = "Generations";
350      generationsCounter.Successor = cmaUpdater;
351
352      cmaUpdater.Name = "Update distributions";
353      cmaUpdater.OperatorParameter.ActualName = CMAUpdaterParameter.Name;
354      cmaUpdater.Successor = terminator;
355
356      terminator.Continue = cmaMutator;
357      terminator.Terminate = null;
358
359      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
360      cmaAnalyzer = new CMAAnalyzer();
361
362      InitializeOperators();
363      RegisterEventHandlers();
364      Parameterize();
365    }
366
367    public override IDeepCloneable Clone(Cloner cloner) {
368      return new CMAEvolutionStrategy(this, cloner);
369    }
370
371    [StorableHook(HookType.AfterDeserialization)]
372    private void AfterDeserialization() {
373      RegisterEventHandlers();
374    }
375
376    public override void Prepare() {
377      if (Problem != null) base.Prepare();
378    }
379
380    protected override void OnStarted() {
381      if (!(Problem.SolutionCreator is IRealVectorCreator))
382        throw new InvalidOperationException("Problems that do not use RealVectorEncoding cannot be solved by CMA-ES.");
383      base.OnStarted();
384    }
385
386    #region Events
387    protected override void OnProblemChanged() {
388      Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
389      var creator = Problem.SolutionCreator as IRealVectorCreator;
390      if (creator != null) {
391        creator.RealVectorParameter.ActualNameChanged += RealVectorCreator_Changed;
392        creator.LengthParameter.ActualNameChanged += RealVectorCreator_Changed;
393        creator.LengthParameter.ValueChanged += RealVectorCreator_Changed;
394        creator.BoundsParameter.ActualNameChanged += RealVectorCreator_Changed;
395        creator.BoundsParameter.ValueChanged += RealVectorCreator_Changed;
396      }
397      UpdateOperators();
398      UpdateAnalyzers();
399      Parameterize();
400      base.OnProblemChanged();
401    }
402    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
403      var creator = Problem.SolutionCreator as IRealVectorCreator;
404      if (creator != null) {
405        creator.RealVectorParameter.ActualNameChanged += RealVectorCreator_Changed;
406        creator.LengthParameter.ActualNameChanged += RealVectorCreator_Changed;
407        creator.LengthParameter.ValueChanged += RealVectorCreator_Changed;
408        creator.BoundsParameter.ActualNameChanged += RealVectorCreator_Changed;
409        creator.BoundsParameter.ValueChanged += RealVectorCreator_Changed;
410      }
411      Parameterize();
412      base.Problem_SolutionCreatorChanged(sender, e);
413    }
414    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
415      Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
416      Parameterize();
417      base.Problem_EvaluatorChanged(sender, e);
418    }
419    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
420      UpdateOperators();
421      UpdateAnalyzers();
422      Parameterize();
423      base.Problem_OperatorsChanged(sender, e);
424    }
425    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
426      Parameterize();
427    }
428    private bool cmaesInitializerSync;
429    private void CMAESInitializerParameter_ValueChanged(object sender, EventArgs e) {
430      if (cmaesInitializerSync) return;
431      UpdateOperators();
432      Parameterize();
433    }
434    private void RealVectorCreator_Changed(object sender, EventArgs e) {
435      Parameterize();
436    }
437    #endregion
438
439    #region Helpers
440    private void RegisterEventHandlers() {
441      CMAInitializerParameter.ValueChanged += CMAESInitializerParameter_ValueChanged;
442      if (Problem != null) {
443        Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
444        var creator = Problem.SolutionCreator as IRealVectorCreator;
445        if (creator != null) {
446          creator.RealVectorParameter.ActualNameChanged += RealVectorCreator_Changed;
447          creator.LengthParameter.ActualNameChanged += RealVectorCreator_Changed;
448          creator.LengthParameter.ValueChanged += RealVectorCreator_Changed;
449          creator.BoundsParameter.ActualNameChanged += RealVectorCreator_Changed;
450          creator.BoundsParameter.ValueChanged += RealVectorCreator_Changed;
451        }
452      }
453    }
454    private void InitializeOperators() {
455      foreach (var op in ApplicationManager.Manager.GetInstances<ICMAInitializer>())
456        CMAInitializerParameter.ValidValues.Add(op);
457      foreach (var op in ApplicationManager.Manager.GetInstances<ICMAManipulator>().Where(x => x.CMAType == CMAInitializer.CMAType))
458        CMAMutatorParameter.ValidValues.Add(op);
459      foreach (var op in ApplicationManager.Manager.GetInstances<ICMARecombinator>().Where(x => x.CMAType == CMAInitializer.CMAType))
460        CMARecombinatorParameter.ValidValues.Add(op);
461      foreach (var op in ApplicationManager.Manager.GetInstances<ICMAUpdater>().Where(x => x.CMAType == CMAInitializer.CMAType))
462        CMAUpdaterParameter.ValidValues.Add(op);
463    }
464    private void UpdateOperators() {
465      cmaesInitializerSync = true;
466      try {
467        var oldMutator = CMAMutator;
468        var oldRecombinator = CMARecombinator;
469        var oldUpdater = CMAUpdater;
470
471        if (CMAInitializer != null && (oldMutator == null || oldMutator.CMAType != CMAInitializer.CMAType)) {
472          CMAMutatorParameter.ValidValues.Clear();
473          foreach (var op in ApplicationManager.Manager.GetInstances<ICMAManipulator>().Where(x => x.CMAType == CMAInitializer.CMAType))
474            CMAMutatorParameter.ValidValues.Add(op);
475          CMAMutator = CMAMutatorParameter.ValidValues.First();
476        }
477
478        if (CMAInitializer != null && (oldRecombinator == null || oldRecombinator.CMAType != CMAInitializer.CMAType)) {
479          CMARecombinatorParameter.ValidValues.Clear();
480          foreach (var op in ApplicationManager.Manager.GetInstances<ICMARecombinator>().Where(x => x.CMAType == CMAInitializer.CMAType))
481            CMARecombinatorParameter.ValidValues.Add(op);
482          CMARecombinator = CMARecombinatorParameter.ValidValues.First();
483        }
484
485        if (CMAInitializer != null && (oldUpdater == null || oldUpdater.CMAType != CMAInitializer.CMAType)) {
486          CMAUpdaterParameter.ValidValues.Clear();
487          foreach (var op in ApplicationManager.Manager.GetInstances<ICMAUpdater>().Where(x => x.CMAType == CMAInitializer.CMAType))
488            CMAUpdaterParameter.ValidValues.Add(op);
489          CMAUpdater = CMAUpdaterParameter.ValidValues.First();
490        }
491      }
492      finally { cmaesInitializerSync = false; }
493    }
494    private void UpdateAnalyzers() {
495      Analyzer.Operators.Clear();
496      if (Problem != null) {
497        foreach (var analyzer in Problem.Operators.OfType<IAnalyzer>()) {
498          foreach (var param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
499            param.Depth = 1;
500          Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
501        }
502      }
503      Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
504      Analyzer.Operators.Add(cmaAnalyzer, cmaAnalyzer.EnabledByDefault);
505    }
506    private void Parameterize() {
507
508      foreach (var op in CMAInitializerParameter.ValidValues) {
509        op.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
510        op.PopulationSizeParameter.Hidden = true;
511        op.MuParameter.ActualName = MuParameter.Name;
512        op.MuParameter.Hidden = true;
513        op.InitialIterationsParameter.Value = null;
514        op.InitialIterationsParameter.ActualName = InitialIterationsParameter.Name;
515        op.InitialIterationsParameter.Hidden = true;
516        op.InitialSigmaParameter.Value = null;
517        op.InitialSigmaParameter.ActualName = InitialSigmaParameter.Name;
518        op.InitialSigmaParameter.Hidden = true;
519
520        op.DimensionParameter.Hidden = false;
521
522        ParameterizeStochasticOperator(op);
523        ParameterizeIterationBasedOperator(op);
524      }
525
526      foreach (var op in CMAMutatorParameter.ValidValues) {
527        op.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
528        op.PopulationSizeParameter.Hidden = true;
529
530        op.MeanParameter.Hidden = false;
531        op.BoundsParameter.Hidden = false;
532        op.RealVectorParameter.Hidden = false;
533
534        ParameterizeStochasticOperator(op);
535        ParameterizeIterationBasedOperator(op);
536      }
537
538      foreach (var op in CMARecombinatorParameter.ValidValues) {
539        op.OldMeanParameter.ActualName = "XOld";
540        op.OldMeanParameter.Hidden = true;
541
542        op.OffspringParameter.Hidden = false;
543        op.MeanParameter.Hidden = false;
544
545        ParameterizeStochasticOperator(op);
546        ParameterizeIterationBasedOperator(op);
547      }
548
549      foreach (var op in CMAUpdaterParameter.ValidValues) {
550        op.MaximumEvaluatedSolutionsParameter.ActualName = MaximumEvaluatedSolutionsParameter.Name;
551        op.MaximumEvaluatedSolutionsParameter.Hidden = true;
552        op.OldMeanParameter.ActualName = "XOld";
553        op.OldMeanParameter.Hidden = true;
554
555        op.MeanParameter.Hidden = false;
556        op.OffspringParameter.Hidden = false;
557        op.QualityParameter.Hidden = false;
558
559        ParameterizeStochasticOperator(op);
560        ParameterizeIterationBasedOperator(op);
561      }
562
563      terminator.IterationsParameter.ActualName = "Generations";
564      terminator.MaximumIterationsParameter.ActualName = MaximumGenerationsParameter.Name;
565      terminator.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
566      terminator.InitialSigmaParameter.ActualName = InitialSigmaParameter.Name;
567      terminator.MaximumEvaluatedSolutionsParameter.ActualName = MaximumEvaluatedSolutionsParameter.Name;
568      terminator.MaximumStandardDeviationChangeParameter.ActualName = MaximumStandardDeviationChangeParameter.Name;
569      terminator.MinimumQualityChangeParameter.ActualName = MinimumQualityChangeParameter.Name;
570      terminator.MinimumQualityHistoryChangeParameter.ActualName = MinimumQualityHistoryChangeParameter.Name;
571      terminator.MinimumStandardDeviationParameter.ActualName = MinimumStandardDeviationParameter.Name;
572      terminator.TargetQualityParameter.ActualName = TargetQualityParameter.Name;
573      if (CMAUpdater != null)
574        terminator.DegenerateStateParameter.ActualName = CMAUpdater.DegenerateStateParameter.ActualName;
575
576      var creator = Problem != null ? (Problem.SolutionCreator as IRealVectorCreator) : null;
577      if (Problem != null && creator != null) {
578
579        solutionCreator.OperatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
580        #region Backwards compatible code, remove with 3.4
581        if (populationSolutionCreator != null) // BackwardsCompatibility3.3
582          // ONLY REMOVE THE CONDITION
583          populationSolutionCreator.OperatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
584        #endregion
585        evaluator.OperatorParameter.ActualName = Problem.EvaluatorParameter.Name;
586        sorter.DescendingParameter.ActualName = Problem.MaximizationParameter.Name;
587        sorter.ValueParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
588        terminator.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
589        terminator.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.Name;
590
591        foreach (var op in CMAInitializerParameter.ValidValues) {
592          if (creator.LengthParameter.Value == null) {
593            op.DimensionParameter.ActualName = creator.LengthParameter.ActualName;
594            op.DimensionParameter.Value = null;
595          } else op.DimensionParameter.Value = creator.LengthParameter.Value;
596          op.DimensionParameter.Hidden = true;
597        }
598
599        foreach (var op in CMAMutatorParameter.ValidValues) {
600          op.MeanParameter.ActualName = creator.RealVectorParameter.ActualName;
601          op.MeanParameter.Hidden = true;
602          if (creator.BoundsParameter.Value == null) {
603            op.BoundsParameter.ActualName = creator.BoundsParameter.ActualName;
604            op.BoundsParameter.Value = null;
605          } else op.BoundsParameter.Value = creator.BoundsParameter.Value;
606          op.BoundsParameter.Hidden = true;
607          op.RealVectorParameter.ActualName = creator.RealVectorParameter.ActualName;
608          op.RealVectorParameter.Depth = 1;
609          op.RealVectorParameter.Hidden = true;
610        }
611
612        foreach (var op in CMARecombinatorParameter.ValidValues) {
613          op.MeanParameter.ActualName = creator.RealVectorParameter.ActualName;
614          op.MeanParameter.Hidden = true;
615          op.OffspringParameter.ActualName = creator.RealVectorParameter.ActualName;
616          op.OffspringParameter.Depth = 1;
617          op.OffspringParameter.Hidden = true;
618        }
619
620        foreach (var op in CMAUpdaterParameter.ValidValues) {
621          op.MeanParameter.ActualName = creator.RealVectorParameter.ActualName;
622          op.MeanParameter.Hidden = true;
623          op.OffspringParameter.ActualName = creator.RealVectorParameter.ActualName;
624          op.OffspringParameter.Depth = 1;
625          op.OffspringParameter.Hidden = true;
626          op.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
627          op.QualityParameter.Hidden = true;
628        }
629
630        foreach (var op in Problem.Operators.OfType<IStochasticOperator>()) {
631          op.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
632          op.RandomParameter.Hidden = true;
633        }
634
635        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
636        qualityAnalyzer.MaximizationParameter.Hidden = true;
637        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
638        qualityAnalyzer.QualityParameter.Depth = 1;
639        qualityAnalyzer.QualityParameter.Hidden = true;
640        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
641        qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
642
643        cmaAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
644        cmaAnalyzer.QualityParameter.Depth = 1;
645        cmaAnalyzer.QualityParameter.Hidden = true;
646        cmaAnalyzer.MeanParameter.ActualName = creator.RealVectorParameter.ActualName;
647        cmaAnalyzer.MeanParameter.Hidden = true;
648
649        foreach (var op in Problem.Operators.OfType<IIterationBasedOperator>()) {
650          op.IterationsParameter.ActualName = "Generations";
651          op.IterationsParameter.Hidden = true;
652          op.MaximumIterationsParameter.ActualName = MaximumGenerationsParameter.Name;
653          op.MaximumIterationsParameter.Hidden = true;
654        }
655      } else {
656        qualityAnalyzer.MaximizationParameter.Hidden = false;
657        qualityAnalyzer.QualityParameter.Hidden = false;
658        qualityAnalyzer.BestKnownQualityParameter.Hidden = false;
659
660        cmaAnalyzer.MeanParameter.Hidden = false;
661      }
662
663      qualityAnalyzer.ResultsParameter.ActualName = "Results";
664      qualityAnalyzer.ResultsParameter.Hidden = true;
665      cmaAnalyzer.ResultsParameter.ActualName = "Results";
666      cmaAnalyzer.ResultsParameter.Hidden = true;
667    }
668
669    private void ParameterizeStochasticOperator(IOperator op) {
670      var sOp = op as IStochasticOperator;
671      if (sOp != null) sOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
672    }
673
674    private void ParameterizeIterationBasedOperator(IOperator op) {
675      var iOp = op as IIterationBasedOperator;
676      if (iOp != null) {
677        iOp.IterationsParameter.ActualName = "Generations";
678        iOp.MaximumIterationsParameter.ActualName = MaximumGenerationsParameter.Name;
679      }
680    }
681    #endregion
682  }
683}
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