source: branches/histogram/HeuristicLab.Algorithms.SimulatedAnnealing/3.3/SimulatedAnnealing.cs @ 6055

Last change on this file since 6055 was 6055, checked in by abeham, 11 years ago

#1465

  • updated branch from trunk
File size: 22.4 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Operators;
30using HeuristicLab.Optimization;
31using HeuristicLab.Optimization.Operators;
32using HeuristicLab.Parameters;
33using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
34using HeuristicLab.PluginInfrastructure;
35using HeuristicLab.Random;
36
37namespace HeuristicLab.Algorithms.SimulatedAnnealing {
38  [Item("Simulated Annealing", "A simulated annealing algorithm.")]
39  [Creatable("Algorithms")]
40  [StorableClass]
41  public sealed class SimulatedAnnealing : HeuristicOptimizationEngineAlgorithm, IStorableContent {
42    public string Filename { get; set; }
43
44    #region Problem Properties
45    public override Type ProblemType {
46      get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
47    }
48    public new ISingleObjectiveHeuristicOptimizationProblem Problem {
49      get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; }
50      set { base.Problem = value; }
51    }
52    #endregion
53
54    #region Parameter Properties
55    private ValueParameter<IntValue> SeedParameter {
56      get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
57    }
58    private ValueParameter<BoolValue> SetSeedRandomlyParameter {
59      get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
60    }
61    private ConstrainedValueParameter<IMultiMoveGenerator> MoveGeneratorParameter {
62      get { return (ConstrainedValueParameter<IMultiMoveGenerator>)Parameters["MoveGenerator"]; }
63    }
64    private ConstrainedValueParameter<IMoveMaker> MoveMakerParameter {
65      get { return (ConstrainedValueParameter<IMoveMaker>)Parameters["MoveMaker"]; }
66    }
67    private ConstrainedValueParameter<ISingleObjectiveMoveEvaluator> MoveEvaluatorParameter {
68      get { return (ConstrainedValueParameter<ISingleObjectiveMoveEvaluator>)Parameters["MoveEvaluator"]; }
69    }
70    private ConstrainedValueParameter<IDiscreteDoubleValueModifier> AnnealingOperatorParameter {
71      get { return (ConstrainedValueParameter<IDiscreteDoubleValueModifier>)Parameters["AnnealingOperator"]; }
72    }
73    private ValueParameter<IntValue> MaximumIterationsParameter {
74      get { return (ValueParameter<IntValue>)Parameters["MaximumIterations"]; }
75    }
76    private ValueParameter<IntValue> InnerIterationsParameter {
77      get { return (ValueParameter<IntValue>)Parameters["InnerIterations"]; }
78    }
79    private ValueParameter<DoubleValue> StartTemperatureParameter {
80      get { return (ValueParameter<DoubleValue>)Parameters["StartTemperature"]; }
81    }
82    private ValueParameter<DoubleValue> EndTemperatureParameter {
83      get { return (ValueParameter<DoubleValue>)Parameters["EndTemperature"]; }
84    }
85    private ValueParameter<MultiAnalyzer> AnalyzerParameter {
86      get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
87    }
88    #endregion
89
90    #region Properties
91    public IntValue Seed {
92      get { return SeedParameter.Value; }
93      set { SeedParameter.Value = value; }
94    }
95    public BoolValue SetSeedRandomly {
96      get { return SetSeedRandomlyParameter.Value; }
97      set { SetSeedRandomlyParameter.Value = value; }
98    }
99    public IMultiMoveGenerator MoveGenerator {
100      get { return MoveGeneratorParameter.Value; }
101      set { MoveGeneratorParameter.Value = value; }
102    }
103    public IMoveMaker MoveMaker {
104      get { return MoveMakerParameter.Value; }
105      set { MoveMakerParameter.Value = value; }
106    }
107    public ISingleObjectiveMoveEvaluator MoveEvaluator {
108      get { return MoveEvaluatorParameter.Value; }
109      set { MoveEvaluatorParameter.Value = value; }
110    }
111    public IntValue MaximumIterations {
112      get { return MaximumIterationsParameter.Value; }
113      set { MaximumIterationsParameter.Value = value; }
114    }
115    public IntValue InnerIterations {
116      get { return InnerIterationsParameter.Value; }
117      set { InnerIterationsParameter.Value = value; }
118    }
119    public DoubleValue StartTemperature {
120      get { return StartTemperatureParameter.Value; }
121      set { StartTemperatureParameter.Value = value; }
122    }
123    public DoubleValue EndTemperature {
124      get { return EndTemperatureParameter.Value; }
125      set { EndTemperatureParameter.Value = value; }
126    }
127    public MultiAnalyzer Analyzer {
128      get { return AnalyzerParameter.Value; }
129      set { AnalyzerParameter.Value = value; }
130    }
131    private RandomCreator RandomCreator {
132      get { return (RandomCreator)OperatorGraph.InitialOperator; }
133    }
134    private SolutionsCreator SolutionsCreator {
135      get { return (SolutionsCreator)RandomCreator.Successor; }
136    }
137    private SimulatedAnnealingMainLoop MainLoop {
138      get { return FindMainLoop(SolutionsCreator.Successor); }
139    }
140    [Storable]
141    private QualityAnalyzer qualityAnalyzer;
142    #endregion
143
144    [StorableConstructor]
145    private SimulatedAnnealing(bool deserializing) : base(deserializing) { }
146    [StorableHook(HookType.AfterDeserialization)]
147    private void AfterDeserialization() {
148      Initialize();
149    }
150    private SimulatedAnnealing(SimulatedAnnealing original, Cloner cloner)
151      : base(original, cloner) {
152      qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
153      Initialize();
154    }
155    public override IDeepCloneable Clone(Cloner cloner) {
156      return new SimulatedAnnealing(this, cloner);
157    }
158    public SimulatedAnnealing()
159      : base() {
160      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
161      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
162      Parameters.Add(new ConstrainedValueParameter<IMultiMoveGenerator>("MoveGenerator", "The operator used to generate moves to the neighborhood of the current solution."));
163      Parameters.Add(new ConstrainedValueParameter<ISingleObjectiveMoveEvaluator>("MoveEvaluator", "The operator used to evaluate a move."));
164      Parameters.Add(new ConstrainedValueParameter<IMoveMaker>("MoveMaker", "The operator used to perform a move."));
165      Parameters.Add(new ConstrainedValueParameter<IDiscreteDoubleValueModifier>("AnnealingOperator", "The operator used to modify the temperature."));
166      Parameters.Add(new ValueParameter<IntValue>("MaximumIterations", "The maximum number of generations which should be processed.", new IntValue(100)));
167      Parameters.Add(new ValueParameter<IntValue>("InnerIterations", "The amount of inner iterations (number of moves before temperature is adjusted again).", new IntValue(10)));
168      Parameters.Add(new ValueParameter<DoubleValue>("StartTemperature", "The initial temperature.", new DoubleValue(100)));
169      Parameters.Add(new ValueParameter<DoubleValue>("EndTemperature", "The final temperature which should be reached when iterations reaches maximum iterations.", new DoubleValue(1e-6)));
170      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze each generation.", new MultiAnalyzer()));
171
172      RandomCreator randomCreator = new RandomCreator();
173      SolutionsCreator solutionsCreator = new SolutionsCreator();
174      VariableCreator variableCreator = new VariableCreator();
175      ResultsCollector resultsCollector = new ResultsCollector();
176      SimulatedAnnealingMainLoop mainLoop = new SimulatedAnnealingMainLoop();
177      OperatorGraph.InitialOperator = randomCreator;
178
179      randomCreator.RandomParameter.ActualName = "Random";
180      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
181      randomCreator.SeedParameter.Value = null;
182      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
183      randomCreator.SetSeedRandomlyParameter.Value = null;
184      randomCreator.Successor = solutionsCreator;
185
186      solutionsCreator.NumberOfSolutions = new IntValue(1);
187      solutionsCreator.Successor = variableCreator;
188
189      variableCreator.Name = "Initialize EvaluatedMoves";
190      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedMoves", new IntValue()));
191      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Iterations", new IntValue(0)));
192      variableCreator.Successor = resultsCollector;
193
194      resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Moves", null, "EvaluatedMoves"));
195      resultsCollector.ResultsParameter.ActualName = "Results";
196      resultsCollector.Successor = mainLoop;
197
198      mainLoop.MoveGeneratorParameter.ActualName = MoveGeneratorParameter.Name;
199      mainLoop.MoveEvaluatorParameter.ActualName = MoveEvaluatorParameter.Name;
200      mainLoop.MoveMakerParameter.ActualName = MoveMakerParameter.Name;
201      mainLoop.AnnealingOperatorParameter.ActualName = AnnealingOperatorParameter.Name;
202      mainLoop.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
203      mainLoop.StartTemperatureParameter.ActualName = StartTemperatureParameter.Name;
204      mainLoop.EndTemperatureParameter.ActualName = EndTemperatureParameter.Name;
205      mainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
206      mainLoop.ResultsParameter.ActualName = "Results";
207      mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
208      mainLoop.EvaluatedMovesParameter.ActualName = "EvaluatedMoves";
209      mainLoop.IterationsParameter.ActualName = "Iterations";
210
211      foreach (IDiscreteDoubleValueModifier op in ApplicationManager.Manager.GetInstances<IDiscreteDoubleValueModifier>().OrderBy(x => x.Name))
212        AnnealingOperatorParameter.ValidValues.Add(op);
213      ParameterizeAnnealingOperators();
214
215      qualityAnalyzer = new QualityAnalyzer();
216      ParameterizeAnalyzers();
217      UpdateAnalyzers();
218
219      Initialize();
220    }
221
222    public override void Prepare() {
223      if (Problem != null && MoveGenerator != null && MoveMaker != null && MoveEvaluator != null)
224        base.Prepare();
225    }
226
227    #region Events
228    protected override void OnProblemChanged() {
229      ParameterizeStochasticOperator(Problem.SolutionCreator);
230      ParameterizeStochasticOperator(Problem.Evaluator);
231      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
232      foreach (ISingleObjectiveMoveEvaluator op in Problem.Operators.OfType<ISingleObjectiveMoveEvaluator>()) {
233        op.MoveQualityParameter.ActualNameChanged += new EventHandler(MoveEvaluator_MoveQualityParameter_ActualNameChanged);
234      }
235      ParameterizeSolutionsCreator();
236      ParameterizeMainLoop();
237      UpdateMoveGenerator();
238      UpdateMoveParameters();
239      UpdateAnalyzers();
240      ParameterizeMoveEvaluators();
241      ParameterizeMoveMakers();
242      ParameterizeMoveGenerators();
243      ParameterizeAnalyzers();
244      ParameterizeIterationBasedOperators();
245      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
246      base.OnProblemChanged();
247    }
248    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
249      ParameterizeStochasticOperator(Problem.SolutionCreator);
250      ParameterizeSolutionsCreator();
251      base.Problem_SolutionCreatorChanged(sender, e);
252    }
253    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
254      ParameterizeStochasticOperator(Problem.Evaluator);
255      ParameterizeSolutionsCreator();
256      ParameterizeMainLoop();
257      ParameterizeMoveEvaluators();
258      ParameterizeMoveMakers();
259      ParameterizeAnalyzers();
260      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
261      base.Problem_EvaluatorChanged(sender, e);
262    }
263    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
264      foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
265      // This may seem pointless, but some operators already have the eventhandler registered, others don't
266      // FIXME: Is there another way to solve this problem?
267      foreach (ISingleObjectiveMoveEvaluator op in Problem.Operators.OfType<ISingleObjectiveMoveEvaluator>()) {
268        op.MoveQualityParameter.ActualNameChanged -= new EventHandler(MoveEvaluator_MoveQualityParameter_ActualNameChanged);
269        op.MoveQualityParameter.ActualNameChanged += new EventHandler(MoveEvaluator_MoveQualityParameter_ActualNameChanged);
270      }
271      UpdateMoveGenerator();
272      UpdateMoveParameters();
273      UpdateAnalyzers();
274      ParameterizeMainLoop();
275      ParameterizeMoveEvaluators();
276      ParameterizeMoveMakers();
277      ParameterizeMoveGenerators();
278      ParameterizeIterationBasedOperators();
279      base.Problem_OperatorsChanged(sender, e);
280    }
281    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
282      ParameterizeMainLoop();
283      ParameterizeMoveEvaluators();
284      ParameterizeMoveMakers();
285      ParameterizeAnalyzers();
286    }
287    private void MoveGeneratorParameter_ValueChanged(object sender, EventArgs e) {
288      UpdateMoveParameters();
289    }
290    private void MoveEvaluatorParameter_ValueChanged(object sender, EventArgs e) {
291      ParameterizeMainLoop();
292      ParameterizeMoveEvaluators();
293      ParameterizeMoveMakers();
294    }
295    private void MoveEvaluator_MoveQualityParameter_ActualNameChanged(object sender, EventArgs e) {
296      ParameterizeMainLoop();
297      ParameterizeMoveEvaluators();
298      ParameterizeMoveMakers();
299    }
300    #endregion
301
302    #region Helpers
303    private void Initialize() {
304      if (Problem != null) {
305        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
306        foreach (ISingleObjectiveMoveEvaluator op in Problem.Operators.OfType<ISingleObjectiveMoveEvaluator>()) {
307          op.MoveQualityParameter.ActualNameChanged += new EventHandler(MoveEvaluator_MoveQualityParameter_ActualNameChanged);
308        }
309      }
310      MoveGeneratorParameter.ValueChanged += new EventHandler(MoveGeneratorParameter_ValueChanged);
311      MoveEvaluatorParameter.ValueChanged += new EventHandler(MoveEvaluatorParameter_ValueChanged);
312    }
313    private void UpdateMoveGenerator() {
314      IMultiMoveGenerator oldMoveGenerator = MoveGenerator;
315      MoveGeneratorParameter.ValidValues.Clear();
316      if (Problem != null) {
317        foreach (IMultiMoveGenerator generator in Problem.Operators.OfType<IMultiMoveGenerator>().OrderBy(x => x.Name))
318          MoveGeneratorParameter.ValidValues.Add(generator);
319      }
320      if (oldMoveGenerator != null) {
321        IMultiMoveGenerator newMoveGenerator = MoveGeneratorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMoveGenerator.GetType());
322        if (newMoveGenerator != null) MoveGenerator = newMoveGenerator;
323      }
324      if (MoveGenerator == null) {
325        ClearMoveParameters();
326      }
327    }
328    private void ParameterizeAnalyzers() {
329      qualityAnalyzer.ResultsParameter.ActualName = "Results";
330      if (Problem != null) {
331        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
332        qualityAnalyzer.MaximizationParameter.Hidden = true;
333        qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
334        qualityAnalyzer.QualityParameter.Depth = 0;
335        qualityAnalyzer.QualityParameter.Hidden = true;
336        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
337        qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
338      } else {
339        qualityAnalyzer.MaximizationParameter.Hidden = false;
340        qualityAnalyzer.QualityParameter.Hidden = false;
341        qualityAnalyzer.BestKnownQualityParameter.Hidden = false;
342      }
343    }
344    private void UpdateMoveParameters() {
345      IMoveMaker oldMoveMaker = MoveMaker;
346      ISingleObjectiveMoveEvaluator oldMoveEvaluator = MoveEvaluator;
347      ClearMoveParameters();
348      if (MoveGenerator != null) {
349        List<Type> moveTypes = MoveGenerator.GetType().GetInterfaces().Where(x => typeof(IMoveOperator).IsAssignableFrom(x)).ToList();
350        foreach (Type type in moveTypes.ToList()) {
351          if (moveTypes.Any(t => t != type && type.IsAssignableFrom(t)))
352            moveTypes.Remove(type);
353        }
354        foreach (Type type in moveTypes) {
355          var operators = Problem.Operators.Where(x => type.IsAssignableFrom(x.GetType())).OrderBy(x => x.Name);
356          foreach (IMoveMaker moveMaker in operators.OfType<IMoveMaker>())
357            MoveMakerParameter.ValidValues.Add(moveMaker);
358          foreach (ISingleObjectiveMoveEvaluator moveEvaluator in operators.OfType<ISingleObjectiveMoveEvaluator>())
359            MoveEvaluatorParameter.ValidValues.Add(moveEvaluator);
360        }
361        if (oldMoveMaker != null) {
362          IMoveMaker mm = MoveMakerParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMoveMaker.GetType());
363          if (mm != null) MoveMaker = mm;
364        }
365        if (oldMoveEvaluator != null) {
366          ISingleObjectiveMoveEvaluator me = MoveEvaluatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMoveEvaluator.GetType());
367          if (me != null) MoveEvaluator = me;
368        }
369      }
370    }
371    private void ClearMoveParameters() {
372      MoveMakerParameter.ValidValues.Clear();
373      MoveEvaluatorParameter.ValidValues.Clear();
374    }
375    private void ParameterizeSolutionsCreator() {
376      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
377      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
378    }
379    private void ParameterizeMainLoop() {
380      if (Problem != null) {
381        MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
382        MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
383        MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
384      }
385      if (MoveEvaluator != null)
386        MainLoop.MoveQualityParameter.ActualName = MoveEvaluator.MoveQualityParameter.ActualName;
387    }
388    private void ParameterizeStochasticOperator(IOperator op) {
389      if (op is IStochasticOperator) {
390        IStochasticOperator stOp = (IStochasticOperator)op;
391        stOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
392        stOp.RandomParameter.Hidden = true;
393      }
394    }
395    private void ParameterizeMoveEvaluators() {
396      foreach (ISingleObjectiveMoveEvaluator op in Problem.Operators.OfType<ISingleObjectiveMoveEvaluator>()) {
397        op.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
398        op.QualityParameter.Hidden = true;
399      }
400    }
401    private void ParameterizeMoveMakers() {
402      foreach (IMoveMaker op in Problem.Operators.OfType<IMoveMaker>()) {
403        op.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
404        op.QualityParameter.Hidden = true;
405        if (MoveEvaluator != null) {
406          op.MoveQualityParameter.ActualName = MoveEvaluator.MoveQualityParameter.ActualName;
407          op.MoveQualityParameter.Hidden = true;
408        } else {
409          op.MoveQualityParameter.Hidden = false;
410        }
411      }
412    }
413    private void ParameterizeAnnealingOperators() {
414      foreach (IDiscreteDoubleValueModifier op in AnnealingOperatorParameter.ValidValues) {
415        op.IndexParameter.ActualName = "Iterations";
416        op.IndexParameter.Hidden = true;
417        op.StartIndexParameter.Value = new IntValue(0);
418        op.EndIndexParameter.ActualName = MaximumIterationsParameter.Name;
419        op.ValueParameter.ActualName = "Temperature";
420        op.ValueParameter.Hidden = true;
421        op.StartValueParameter.ActualName = StartTemperatureParameter.Name;
422        op.StartValueParameter.Hidden = true;
423        op.EndValueParameter.ActualName = EndTemperatureParameter.Name;
424        op.EndValueParameter.Hidden = true;
425        ParameterizeStochasticOperator(op);
426      }
427    }
428    private void ParameterizeMoveGenerators() {
429      foreach (IMultiMoveGenerator op in Problem.Operators.OfType<IMultiMoveGenerator>()) {
430        op.SampleSizeParameter.ActualName = InnerIterationsParameter.Name;
431        op.SampleSizeParameter.Hidden = true;
432      }
433    }
434    private void ParameterizeIterationBasedOperators() {
435      if (Problem != null) {
436        foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
437          op.IterationsParameter.ActualName = "Iterations";
438          op.IterationsParameter.Hidden = true;
439          op.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
440          op.MaximumIterationsParameter.Hidden = true;
441        }
442      }
443    }
444    private void UpdateAnalyzers() {
445      Analyzer.Operators.Clear();
446      if (Problem != null) {
447        foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
448          foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
449            param.Depth = 0;
450          Analyzer.Operators.Add(analyzer);
451        }
452      }
453      Analyzer.Operators.Add(qualityAnalyzer);
454    }
455    private SimulatedAnnealingMainLoop FindMainLoop(IOperator start) {
456      IOperator mainLoop = start;
457      while (mainLoop != null && !(mainLoop is SimulatedAnnealingMainLoop))
458        mainLoop = ((SingleSuccessorOperator)mainLoop).Successor;
459      if (mainLoop == null) return null;
460      else return (SimulatedAnnealingMainLoop)mainLoop;
461    }
462    #endregion
463  }
464}
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