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source: branches/ChangeDatasetOfRegressionModel/HeuristicLab.Algorithms.SimulatedAnnealing/3.3/SimulatedAnnealingMainLoop.cs @ 7399

Last change on this file since 7399 was 7259, checked in by swagner, 13 years ago

Updated year of copyrights to 2012 (#1716)
File size: 12.7 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Operators;
26using HeuristicLab.Optimization.Operators;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Algorithms.SimulatedAnnealing {
31  /// <summary>
32  /// An operator which represents a simulated annealing.
33  /// </summary>
34  [Item("SimulatedAnnealingMainLoop", "An operator which represents the main loop of a simulated annealing algorithm.")]
35  [StorableClass]
36  public sealed class SimulatedAnnealingMainLoop : AlgorithmOperator {
37    #region Parameter properties
38    public ValueLookupParameter<IRandom> RandomParameter {
39      get { return (ValueLookupParameter<IRandom>)Parameters["Random"]; }
40    }
41    public ValueLookupParameter<BoolValue> MaximizationParameter {
42      get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
43    }
44    public LookupParameter<DoubleValue> QualityParameter {
45      get { return (LookupParameter<DoubleValue>)Parameters["Quality"]; }
46    }
47    public ValueLookupParameter<DoubleValue> BestKnownQualityParameter {
48      get { return (ValueLookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
49    }
50    public LookupParameter<DoubleValue> MoveQualityParameter {
51      get { return (LookupParameter<DoubleValue>)Parameters["MoveQuality"]; }
52    }
53    public ValueLookupParameter<DoubleValue> StartTemperatureParameter {
54      get { return (ValueLookupParameter<DoubleValue>)Parameters["StartTemperature"]; }
55    }
56    public ValueLookupParameter<DoubleValue> EndTemperatureParameter {
57      get { return (ValueLookupParameter<DoubleValue>)Parameters["EndTemperature"]; }
58    }
59    public ValueLookupParameter<IntValue> InnerIterationsParameter {
60      get { return (ValueLookupParameter<IntValue>)Parameters["InnerIterations"]; }
61    }
62    public LookupParameter<IntValue> IterationsParameter {
63      get { return (LookupParameter<IntValue>)Parameters["Iterations"]; }
64    }
65    public ValueLookupParameter<IntValue> MaximumIterationsParameter {
66      get { return (ValueLookupParameter<IntValue>)Parameters["MaximumIterations"]; }
67    }
68    public ValueLookupParameter<IOperator> MoveGeneratorParameter {
69      get { return (ValueLookupParameter<IOperator>)Parameters["MoveGenerator"]; }
70    }
71    public ValueLookupParameter<IOperator> MoveEvaluatorParameter {
72      get { return (ValueLookupParameter<IOperator>)Parameters["MoveEvaluator"]; }
73    }
74    public ValueLookupParameter<IOperator> MoveMakerParameter {
75      get { return (ValueLookupParameter<IOperator>)Parameters["MoveMaker"]; }
76    }
77    public ValueLookupParameter<IOperator> AnnealingOperatorParameter {
78      get { return (ValueLookupParameter<IOperator>)Parameters["AnnealingOperator"]; }
79    }
80    public ValueLookupParameter<IOperator> AnalyzerParameter {
81      get { return (ValueLookupParameter<IOperator>)Parameters["Analyzer"]; }
82    }
83    public ValueLookupParameter<VariableCollection> ResultsParameter {
84      get { return (ValueLookupParameter<VariableCollection>)Parameters["Results"]; }
85    }
86    public LookupParameter<IntValue> EvaluatedMovesParameter {
87      get { return (LookupParameter<IntValue>)Parameters["EvaluatedMoves"]; }
88    }
89    #endregion
90
91    [StorableConstructor]
92    private SimulatedAnnealingMainLoop(bool deserializing) : base(deserializing) { }
93    private SimulatedAnnealingMainLoop(SimulatedAnnealingMainLoop original, Cloner cloner)
94      : base(original, cloner) {
95    }
96    public override IDeepCloneable Clone(Cloner cloner) {
97      return new SimulatedAnnealingMainLoop(this, cloner);
98    }
99    public SimulatedAnnealingMainLoop()
100      : base() {
101      Initialize();
102    }
103
104    private void Initialize() {
105      #region Create parameters
106      Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
107      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
108      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
109      Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
110      Parameters.Add(new LookupParameter<DoubleValue>("MoveQuality", "The value which represents the quality of a move."));
111      Parameters.Add(new ValueLookupParameter<DoubleValue>("StartTemperature", "The initial temperature."));
112      Parameters.Add(new ValueLookupParameter<DoubleValue>("EndTemperature", "The end temperature."));
113      Parameters.Add(new ValueLookupParameter<IntValue>("InnerIterations", "The amount of inner iterations (number of moves before temperature is adjusted again)."));
114      Parameters.Add(new LookupParameter<IntValue>("Iterations", "The number of iterations."));
115      Parameters.Add(new ValueLookupParameter<IntValue>("MaximumIterations", "The maximum number of iterations which should be processed."));
116
117      Parameters.Add(new ValueLookupParameter<IOperator>("MoveGenerator", "The operator that generates the moves."));
118      Parameters.Add(new ValueLookupParameter<IOperator>("MoveEvaluator", "The operator that evaluates a move."));
119      Parameters.Add(new ValueLookupParameter<IOperator>("MoveMaker", "The operator that performs a move and updates the quality."));
120      Parameters.Add(new ValueLookupParameter<IOperator>("AnnealingOperator", "The operator that modifies the temperature."));
121
122      Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze each generation."));
123      Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
124      Parameters.Add(new LookupParameter<IntValue>("EvaluatedMoves", "The number of evaluated moves."));
125      #endregion
126
127      #region Create operators
128      VariableCreator variableCreator = new VariableCreator();
129      ResultsCollector resultsCollector1 = new ResultsCollector();
130      SubScopesProcessor subScopesProcessor0 = new SubScopesProcessor();
131      Placeholder analyzer1 = new Placeholder();
132      SubScopesProcessor sssp = new SubScopesProcessor();
133      ResultsCollector resultsCollector = new ResultsCollector();
134      Placeholder annealingOperator = new Placeholder();
135      UniformSubScopesProcessor mainProcessor = new UniformSubScopesProcessor();
136      Placeholder moveGenerator = new Placeholder();
137      UniformSubScopesProcessor moveEvaluationProcessor = new UniformSubScopesProcessor();
138      Placeholder moveEvaluator = new Placeholder();
139      SubScopesCounter subScopesCounter = new SubScopesCounter();
140      ProbabilisticQualityComparator qualityComparator = new ProbabilisticQualityComparator();
141      ConditionalBranch improvesQualityBranch = new ConditionalBranch();
142      Placeholder moveMaker = new Placeholder();
143      SubScopesRemover subScopesRemover = new SubScopesRemover();
144      IntCounter iterationsCounter = new IntCounter();
145      Comparator iterationsComparator = new Comparator();
146      SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
147      Placeholder analyzer2 = new Placeholder();
148      ConditionalBranch iterationsTermination = new ConditionalBranch();
149
150      variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("Temperature", new DoubleValue(double.MaxValue)));
151
152      resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>(IterationsParameter.Name));
153      resultsCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Temperature"));
154      resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
155
156      analyzer1.Name = "Analyzer (placeholder)";
157      analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
158
159      annealingOperator.Name = "Annealing operator (placeholder)";
160      annealingOperator.OperatorParameter.ActualName = AnnealingOperatorParameter.Name;
161
162      moveGenerator.Name = "Move generator (placeholder)";
163      moveGenerator.OperatorParameter.ActualName = MoveGeneratorParameter.Name;
164
165      moveEvaluator.Name = "Move evaluator (placeholder)";
166      moveEvaluator.OperatorParameter.ActualName = MoveEvaluatorParameter.Name;
167
168      subScopesCounter.Name = "Increment EvaluatedMoves";
169      subScopesCounter.ValueParameter.ActualName = EvaluatedMovesParameter.Name;
170
171      qualityComparator.LeftSideParameter.ActualName = MoveQualityParameter.Name;
172      qualityComparator.RightSideParameter.ActualName = QualityParameter.Name;
173      qualityComparator.ResultParameter.ActualName = "IsBetter";
174      qualityComparator.DampeningParameter.ActualName = "Temperature";
175
176      improvesQualityBranch.ConditionParameter.ActualName = "IsBetter";
177
178      moveMaker.Name = "Move maker (placeholder)";
179      moveMaker.OperatorParameter.ActualName = MoveMakerParameter.Name;
180
181      subScopesRemover.RemoveAllSubScopes = true;
182
183      iterationsCounter.Name = "Increment Iterations";
184      iterationsCounter.Increment = new IntValue(1);
185      iterationsCounter.ValueParameter.ActualName = IterationsParameter.Name;
186
187      iterationsComparator.Name = "Iterations >= MaximumIterations";
188      iterationsComparator.LeftSideParameter.ActualName = IterationsParameter.Name;
189      iterationsComparator.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
190      iterationsComparator.ResultParameter.ActualName = "Terminate";
191      iterationsComparator.Comparison.Value = ComparisonType.GreaterOrEqual;
192
193      analyzer2.Name = "Analyzer (placeholder)";
194      analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
195
196      iterationsTermination.Name = "Iterations termination condition";
197      iterationsTermination.ConditionParameter.ActualName = "Terminate";
198      #endregion
199
200      #region Create operator graph
201      OperatorGraph.InitialOperator = variableCreator;
202      variableCreator.Successor = resultsCollector1;
203      resultsCollector1.Successor = subScopesProcessor0;
204      subScopesProcessor0.Operators.Add(analyzer1);
205      subScopesProcessor0.Successor = sssp;
206      analyzer1.Successor = null;
207      sssp.Operators.Add(resultsCollector);
208      sssp.Successor = annealingOperator;
209      resultsCollector.Successor = null;
210      annealingOperator.Successor = mainProcessor;
211      mainProcessor.Operator = moveGenerator;
212      mainProcessor.Successor = iterationsCounter;
213      moveGenerator.Successor = moveEvaluationProcessor;
214      moveEvaluationProcessor.Operator = moveEvaluator;
215      moveEvaluationProcessor.Successor = subScopesCounter;
216      moveEvaluator.Successor = qualityComparator;
217      qualityComparator.Successor = improvesQualityBranch;
218      improvesQualityBranch.TrueBranch = moveMaker;
219      improvesQualityBranch.FalseBranch = null;
220      improvesQualityBranch.Successor = null;
221      moveMaker.Successor = null;
222      subScopesCounter.Successor = subScopesRemover;
223      subScopesRemover.Successor = null;
224      iterationsCounter.Successor = iterationsComparator;
225      iterationsComparator.Successor = subScopesProcessor1;
226      subScopesProcessor1.Operators.Add(analyzer2);
227      subScopesProcessor1.Successor = iterationsTermination;
228      iterationsTermination.TrueBranch = null;
229      iterationsTermination.FalseBranch = annealingOperator;
230      #endregion
231    }
232
233    [StorableHook(HookType.AfterDeserialization)]
234    private void AfterDeserialization() {
235      // BackwardsCompatibility3.3
236      #region Backwards compatible code (remove with 3.4)
237      if (!Parameters.ContainsKey("Iterations"))
238        Parameters.Add(new LookupParameter<IntValue>("Iterations", "The number of iterations."));
239      #endregion
240    }
241
242    public override IOperation Apply() {
243      if (MoveGeneratorParameter.ActualValue == null || MoveEvaluatorParameter.ActualValue == null || MoveMakerParameter.ActualValue == null)
244        return null;
245      return base.Apply();
246    }
247  }
248}
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