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source: branches/SuccessProgressAnalysis/HeuristicLab.Algorithms.SimulatedAnnealing/3.3/SimulatedAnnealingMainLoop.cs @ 5469

Last change on this file since 5469 was 5356, checked in by abeham, 14 years ago

#1344

  • Adapted all algorithms to count evaluated solutions / moves and outside of the parallel region
  • Used the same pattern in every algorithm: Initialize and collect the variable in the Algorithm and increment it in the main loops and main operators
File size: 12.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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 ValueLookupParameter<IntValue> MaximumIterationsParameter {
63      get { return (ValueLookupParameter<IntValue>)Parameters["MaximumIterations"]; }
64    }
65    public ValueLookupParameter<IOperator> MoveGeneratorParameter {
66      get { return (ValueLookupParameter<IOperator>)Parameters["MoveGenerator"]; }
67    }
68    public ValueLookupParameter<IOperator> MoveEvaluatorParameter {
69      get { return (ValueLookupParameter<IOperator>)Parameters["MoveEvaluator"]; }
70    }
71    public ValueLookupParameter<IOperator> MoveMakerParameter {
72      get { return (ValueLookupParameter<IOperator>)Parameters["MoveMaker"]; }
73    }
74    public ValueLookupParameter<IOperator> AnnealingOperatorParameter {
75      get { return (ValueLookupParameter<IOperator>)Parameters["AnnealingOperator"]; }
76    }
77    public ValueLookupParameter<IOperator> AnalyzerParameter {
78      get { return (ValueLookupParameter<IOperator>)Parameters["Analyzer"]; }
79    }
80    public ValueLookupParameter<VariableCollection> ResultsParameter {
81      get { return (ValueLookupParameter<VariableCollection>)Parameters["Results"]; }
82    }
83    public LookupParameter<IntValue> EvaluatedMovesParameter {
84      get { return (LookupParameter<IntValue>)Parameters["EvaluatedMoves"]; }
85    }
86    #endregion
87
88    [StorableConstructor]
89    private SimulatedAnnealingMainLoop(bool deserializing) : base(deserializing) { }
90    private SimulatedAnnealingMainLoop(SimulatedAnnealingMainLoop original, Cloner cloner)
91      : base(original, cloner) {
92    }
93    public override IDeepCloneable Clone(Cloner cloner) {
94      return new SimulatedAnnealingMainLoop(this, cloner);
95    }
96    public SimulatedAnnealingMainLoop()
97      : base() {
98      Initialize();
99    }
100
101    private void Initialize() {
102      #region Create parameters
103      Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
104      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
105      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
106      Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
107      Parameters.Add(new LookupParameter<DoubleValue>("MoveQuality", "The value which represents the quality of a move."));
108      Parameters.Add(new ValueLookupParameter<DoubleValue>("StartTemperature", "The initial temperature."));
109      Parameters.Add(new ValueLookupParameter<DoubleValue>("EndTemperature", "The end temperature."));
110      Parameters.Add(new ValueLookupParameter<IntValue>("InnerIterations", "The amount of inner iterations (number of moves before temperature is adjusted again)."));
111      Parameters.Add(new ValueLookupParameter<IntValue>("MaximumIterations", "The maximum number of iterations which should be processed."));
112
113      Parameters.Add(new ValueLookupParameter<IOperator>("MoveGenerator", "The operator that generates the moves."));
114      Parameters.Add(new ValueLookupParameter<IOperator>("MoveEvaluator", "The operator that evaluates a move."));
115      Parameters.Add(new ValueLookupParameter<IOperator>("MoveMaker", "The operator that performs a move and updates the quality."));
116      Parameters.Add(new ValueLookupParameter<IOperator>("AnnealingOperator", "The operator that modifies the temperature."));
117
118      Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze each generation."));
119      Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
120      Parameters.Add(new LookupParameter<IntValue>("EvaluatedMoves", "The number of evaluated moves."));
121      #endregion
122
123      #region Create operators
124      VariableCreator variableCreator = new VariableCreator();
125      ResultsCollector resultsCollector1 = new ResultsCollector();
126      SubScopesProcessor subScopesProcessor0 = new SubScopesProcessor();
127      Placeholder analyzer1 = new Placeholder();
128      SubScopesProcessor sssp = new SubScopesProcessor();
129      ResultsCollector resultsCollector = new ResultsCollector();
130      Placeholder annealingOperator = new Placeholder();
131      UniformSubScopesProcessor mainProcessor = new UniformSubScopesProcessor();
132      Placeholder moveGenerator = new Placeholder();
133      UniformSubScopesProcessor moveEvaluationProcessor = new UniformSubScopesProcessor();
134      Placeholder moveEvaluator = new Placeholder();
135      SubScopesCounter subScopesCounter = new SubScopesCounter();
136      ProbabilisticQualityComparator qualityComparator = new ProbabilisticQualityComparator();
137      ConditionalBranch improvesQualityBranch = new ConditionalBranch();
138      Placeholder moveMaker = new Placeholder();
139      SubScopesRemover subScopesRemover = new SubScopesRemover();
140      IntCounter iterationsCounter = new IntCounter();
141      Comparator iterationsComparator = new Comparator();
142      SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
143      Placeholder analyzer2 = new Placeholder();
144      ConditionalBranch iterationsTermination = new ConditionalBranch();
145
146      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Iterations", new IntValue(0))); // Class SimulatedAnnealing expects this to be called Iterations
147      variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("Temperature", new DoubleValue(double.MaxValue)));
148
149      resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>("Iterations"));
150      resultsCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Temperature"));
151      resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
152
153      analyzer1.Name = "Analyzer (placeholder)";
154      analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
155
156      annealingOperator.Name = "Annealing operator (placeholder)";
157      annealingOperator.OperatorParameter.ActualName = AnnealingOperatorParameter.Name;
158
159      moveGenerator.Name = "Move generator (placeholder)";
160      moveGenerator.OperatorParameter.ActualName = MoveGeneratorParameter.Name;
161
162      moveEvaluator.Name = "Move evaluator (placeholder)";
163      moveEvaluator.OperatorParameter.ActualName = MoveEvaluatorParameter.Name;
164
165      subScopesCounter.Name = "Increment EvaluatedMoves";
166      subScopesCounter.ValueParameter.ActualName = EvaluatedMovesParameter.Name;
167
168      qualityComparator.LeftSideParameter.ActualName = MoveQualityParameter.Name;
169      qualityComparator.RightSideParameter.ActualName = QualityParameter.Name;
170      qualityComparator.ResultParameter.ActualName = "IsBetter";
171      qualityComparator.DampeningParameter.ActualName = "Temperature";
172
173      improvesQualityBranch.ConditionParameter.ActualName = "IsBetter";
174
175      moveMaker.Name = "Move maker (placeholder)";
176      moveMaker.OperatorParameter.ActualName = MoveMakerParameter.Name;
177
178      subScopesRemover.RemoveAllSubScopes = true;
179
180      iterationsCounter.Name = "Increment Iterations";
181      iterationsCounter.Increment = new IntValue(1);
182      iterationsCounter.ValueParameter.ActualName = "Iterations";
183
184      iterationsComparator.Name = "Iterations >= MaximumIterations";
185      iterationsComparator.LeftSideParameter.ActualName = "Iterations";
186      iterationsComparator.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
187      iterationsComparator.ResultParameter.ActualName = "Terminate";
188      iterationsComparator.Comparison.Value = ComparisonType.GreaterOrEqual;
189
190      analyzer2.Name = "Analyzer (placeholder)";
191      analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
192
193      iterationsTermination.Name = "Iterations termination condition";
194      iterationsTermination.ConditionParameter.ActualName = "Terminate";
195      #endregion
196
197      #region Create operator graph
198      OperatorGraph.InitialOperator = variableCreator;
199      variableCreator.Successor = resultsCollector1;
200      resultsCollector1.Successor = subScopesProcessor0;
201      subScopesProcessor0.Operators.Add(analyzer1);
202      subScopesProcessor0.Successor = sssp;
203      analyzer1.Successor = null;
204      sssp.Operators.Add(resultsCollector);
205      sssp.Successor = annealingOperator;
206      resultsCollector.Successor = null;
207      annealingOperator.Successor = mainProcessor;
208      mainProcessor.Operator = moveGenerator;
209      mainProcessor.Successor = iterationsCounter;
210      moveGenerator.Successor = moveEvaluationProcessor;
211      moveEvaluationProcessor.Operator = moveEvaluator;
212      moveEvaluationProcessor.Successor = subScopesCounter;
213      moveEvaluator.Successor = qualityComparator;
214      qualityComparator.Successor = improvesQualityBranch;
215      improvesQualityBranch.TrueBranch = moveMaker;
216      improvesQualityBranch.FalseBranch = null;
217      improvesQualityBranch.Successor = null;
218      moveMaker.Successor = null;
219      subScopesCounter.Successor = subScopesRemover;
220      subScopesRemover.Successor = null;
221      iterationsCounter.Successor = iterationsComparator;
222      iterationsComparator.Successor = subScopesProcessor1;
223      subScopesProcessor1.Operators.Add(analyzer2);
224      subScopesProcessor1.Successor = iterationsTermination;
225      iterationsTermination.TrueBranch = null;
226      iterationsTermination.FalseBranch = annealingOperator;
227      #endregion
228    }
229
230    public override IOperation Apply() {
231      if (MoveGeneratorParameter.ActualValue == null || MoveEvaluatorParameter.ActualValue == null || MoveMakerParameter.ActualValue == null)
232        return null;
233      return base.Apply();
234    }
235  }
236}
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