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source: trunk/sources/HeuristicLab.Algorithms.TabuSearch/3.3/TabuSearchMainLoop.cs @ 4001

Last change on this file since 4001 was 3809, checked in by abeham, 14 years ago

#893

  • fixed BestKnownQuality tracking in tabu search and local search
File size: 15.1 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.Analysis;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Operators;
27using HeuristicLab.Optimization.Operators;
28using HeuristicLab.Parameters;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30using HeuristicLab.Selection;
31
32namespace HeuristicLab.Algorithms.TabuSearch {
33  /// <summary>
34  /// An operator which represents a tabu search.
35  /// </summary>
36  [Item("TabuSearchMainLoop", "An operator which represents the main loop of a tabu search.")]
37  [StorableClass]
38  public sealed class TabuSearchMainLoop : AlgorithmOperator {
39    #region Parameter properties
40    public ValueLookupParameter<IRandom> RandomParameter {
41      get { return (ValueLookupParameter<IRandom>)Parameters["Random"]; }
42    }
43    public ValueLookupParameter<BoolValue> MaximizationParameter {
44      get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
45    }
46    public LookupParameter<DoubleValue> QualityParameter {
47      get { return (LookupParameter<DoubleValue>)Parameters["Quality"]; }
48    }
49    public ValueLookupParameter<DoubleValue> BestKnownQualityParameter {
50      get { return (ValueLookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
51    }
52    public LookupParameter<DoubleValue> MoveQualityParameter {
53      get { return (LookupParameter<DoubleValue>)Parameters["MoveQuality"]; }
54    }
55    public LookupParameter<BoolValue> MoveTabuParameter {
56      get { return (LookupParameter<BoolValue>)Parameters["MoveTabu"]; }
57    }
58    public ValueLookupParameter<IntValue> MaximumIterationsParameter {
59      get { return (ValueLookupParameter<IntValue>)Parameters["MaximumIterations"]; }
60    }
61    public ValueLookupParameter<IntValue> TabuTenureParameter {
62      get { return (ValueLookupParameter<IntValue>)Parameters["TabuTenure"]; }
63    }
64    public ValueLookupParameter<IOperator> MoveGeneratorParameter {
65      get { return (ValueLookupParameter<IOperator>)Parameters["MoveGenerator"]; }
66    }
67    public ValueLookupParameter<IOperator> MoveEvaluatorParameter {
68      get { return (ValueLookupParameter<IOperator>)Parameters["MoveEvaluator"]; }
69    }
70    public ValueLookupParameter<IOperator> MoveMakerParameter {
71      get { return (ValueLookupParameter<IOperator>)Parameters["MoveMaker"]; }
72    }
73    public ValueLookupParameter<IOperator> TabuCheckerParameter {
74      get { return (ValueLookupParameter<IOperator>)Parameters["TabuChecker"]; }
75    }
76    public ValueLookupParameter<IOperator> TabuMakerParameter {
77      get { return (ValueLookupParameter<IOperator>)Parameters["TabuMaker"]; }
78    }
79    public ValueLookupParameter<IOperator> AnalyzerParameter {
80      get { return (ValueLookupParameter<IOperator>)Parameters["Analyzer"]; }
81    }
82    public ValueLookupParameter<VariableCollection> ResultsParameter {
83      get { return (ValueLookupParameter<VariableCollection>)Parameters["Results"]; }
84    }
85    #endregion
86
87    [StorableConstructor]
88    private TabuSearchMainLoop(bool deserializing) : base() { }
89    public TabuSearchMainLoop()
90      : base() {
91      Initialize();
92    }
93
94    private void Initialize() {
95      #region Create parameters
96      Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
97      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
98      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
99      Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
100      Parameters.Add(new LookupParameter<DoubleValue>("MoveQuality", "The value which represents the quality of a move."));
101      Parameters.Add(new LookupParameter<BoolValue>("MoveTabu", "The value that indicates if a move is tabu or not."));
102      Parameters.Add(new ValueLookupParameter<IntValue>("MaximumIterations", "The maximum number of generations which should be processed."));
103      Parameters.Add(new ValueLookupParameter<IntValue>("TabuTenure", "The length of the tabu list, and also means the number of iterations a move is kept tabu"));
104
105      Parameters.Add(new ValueLookupParameter<IOperator>("MoveGenerator", "The operator that generates the moves."));
106      Parameters.Add(new ValueLookupParameter<IOperator>("MoveMaker", "The operator that performs a move and updates the quality."));
107      Parameters.Add(new ValueLookupParameter<IOperator>("MoveEvaluator", "The operator that evaluates a move."));
108      Parameters.Add(new ValueLookupParameter<IOperator>("TabuChecker", "The operator that checks whether a move is tabu."));
109      Parameters.Add(new ValueLookupParameter<IOperator>("TabuMaker", "The operator that declares a move tabu."));
110
111      Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze the solution and moves."));
112      Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
113      #endregion
114
115      #region Create operators
116      VariableCreator variableCreator = new VariableCreator();
117      SubScopesProcessor subScopesProcessor0 = new SubScopesProcessor();
118      Assigner bestQualityInitializer = new Assigner();
119      Placeholder analyzer1 = new Placeholder();
120      ResultsCollector resultsCollector1 = new ResultsCollector();
121      ResultsCollector resultsCollector2 = new ResultsCollector();
122      SubScopesProcessor solutionProcessor = new SubScopesProcessor();
123      Placeholder moveGenerator = new Placeholder();
124      UniformSubScopesProcessor moveEvaluationProcessor = new UniformSubScopesProcessor();
125      Placeholder moveEvaluator = new Placeholder();
126      IntCounter evaluatedMovesCounter = new IntCounter();
127      Placeholder tabuChecker = new Placeholder();
128      SubScopesSorter moveQualitySorter = new SubScopesSorter();
129      TabuSelector tabuSelector = new TabuSelector();
130      ConditionalBranch emptyNeighborhoodBranch1 = new ConditionalBranch();
131      SubScopesProcessor moveMakingProcessor = new SubScopesProcessor();
132      UniformSubScopesProcessor selectedMoveMakingProcesor = new UniformSubScopesProcessor();
133      Placeholder tabuMaker = new Placeholder();
134      Placeholder moveMaker = new Placeholder();
135      MergingReducer mergingReducer = new MergingReducer();
136      Placeholder analyzer2 = new Placeholder();
137      SubScopesRemover subScopesRemover = new SubScopesRemover();
138      ConditionalBranch emptyNeighborhoodBranch2 = new ConditionalBranch();
139      BestQualityMemorizer bestQualityUpdater = new BestQualityMemorizer();
140      IntCounter iterationsCounter = new IntCounter();
141      Comparator iterationsComparator = new Comparator();
142      ResultsCollector resultsCollector3 = new ResultsCollector();
143      ConditionalBranch iterationsTermination = new ConditionalBranch();
144
145      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Iterations", new IntValue(0))); // Class TabuSearch expects this to be called Iterations
146      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedMoves", new IntValue(0)));
147      variableCreator.CollectedValues.Add(new ValueParameter<BoolValue>("EmptyNeighborhood", new BoolValue(false)));
148      variableCreator.CollectedValues.Add(new ValueParameter<ItemList<IItem>>("TabuList", new ItemList<IItem>()));
149      variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("BestQuality", new DoubleValue(0)));
150
151      bestQualityInitializer.Name = "Initialize BestQuality";
152      bestQualityInitializer.LeftSideParameter.ActualName = "BestQuality";
153      bestQualityInitializer.RightSideParameter.ActualName = QualityParameter.Name;
154
155      analyzer1.Name = "Analyzer (placeholder)";
156      analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
157
158      resultsCollector1.CopyValue = new BoolValue(false);
159      resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>("Iterations"));
160      resultsCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Quality", null, "BestQuality"));
161      resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
162
163      resultsCollector2.CopyValue = new BoolValue(true);
164      resultsCollector2.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Moves", null, "EvaluatedMoves"));
165      resultsCollector2.ResultsParameter.ActualName = ResultsParameter.Name;
166
167      moveGenerator.Name = "MoveGenerator (placeholder)";
168      moveGenerator.OperatorParameter.ActualName = MoveGeneratorParameter.Name;
169
170      moveEvaluator.Name = "MoveEvaluator (placeholder)";
171      moveEvaluator.OperatorParameter.ActualName = MoveEvaluatorParameter.Name;
172
173      evaluatedMovesCounter.Name = "EvaluatedMoves + 1";
174      evaluatedMovesCounter.ValueParameter.ActualName = "EvaluatedMoves";
175      evaluatedMovesCounter.Increment = new IntValue(1);
176
177      tabuChecker.Name = "TabuChecker (placeholder)";
178      tabuChecker.OperatorParameter.ActualName = TabuCheckerParameter.Name;
179
180      moveQualitySorter.DescendingParameter.ActualName = MaximizationParameter.Name;
181      moveQualitySorter.ValueParameter.ActualName = MoveQualityParameter.Name;
182
183      tabuSelector.AspirationParameter.Value = new BoolValue(true);
184      tabuSelector.BestQualityParameter.ActualName = "BestQuality";
185      tabuSelector.CopySelected = new BoolValue(false);
186      tabuSelector.EmptyNeighborhoodParameter.ActualName = "EmptyNeighborhood";
187      tabuSelector.MaximizationParameter.ActualName = MaximizationParameter.Name;
188      tabuSelector.MoveQualityParameter.ActualName = MoveQualityParameter.Name;
189      tabuSelector.MoveTabuParameter.ActualName = MoveTabuParameter.Name;
190     
191      moveMakingProcessor.Name = "MoveMaking processor (UniformSubScopesProcessor)";
192
193      emptyNeighborhoodBranch1.Name = "Neighborhood empty?";
194      emptyNeighborhoodBranch1.ConditionParameter.ActualName = "EmptyNeighborhood";
195
196      tabuMaker.Name = "TabuMaker (placeholder)";
197      tabuMaker.OperatorParameter.ActualName = TabuMakerParameter.Name;
198
199      moveMaker.Name = "MoveMaker (placeholder)";
200      moveMaker.OperatorParameter.ActualName = MoveMakerParameter.Name;
201
202      analyzer2.Name = "Analyzer (placeholder)";
203      analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
204
205      subScopesRemover.RemoveAllSubScopes = true;
206
207      bestQualityUpdater.Name = "Update BestQuality";
208      bestQualityUpdater.MaximizationParameter.ActualName = MaximizationParameter.Name;
209      bestQualityUpdater.QualityParameter.ActualName = QualityParameter.Name;
210      bestQualityUpdater.BestQualityParameter.ActualName = "BestQuality";
211
212      iterationsCounter.Name = "Iterations Counter";
213      iterationsCounter.Increment = new IntValue(1);
214      iterationsCounter.ValueParameter.ActualName = "Iterations";
215
216      iterationsComparator.Name = "Iterations >= MaximumIterations";
217      iterationsComparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
218      iterationsComparator.LeftSideParameter.ActualName = "Iterations";
219      iterationsComparator.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
220      iterationsComparator.ResultParameter.ActualName = "Terminate";
221
222      resultsCollector3.CopyValue = new BoolValue(true);
223      resultsCollector3.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Moves", null, "EvaluatedMoves"));
224      resultsCollector3.ResultsParameter.ActualName = ResultsParameter.Name;
225
226      emptyNeighborhoodBranch2.Name = "Neighborhood empty?";
227      emptyNeighborhoodBranch2.ConditionParameter.ActualName = "EmptyNeighborhood";
228
229      iterationsTermination.Name = "Iterations Termination Condition";
230      iterationsTermination.ConditionParameter.ActualName = "Terminate";
231      #endregion
232
233      #region Create operator graph
234      OperatorGraph.InitialOperator = variableCreator;
235      variableCreator.Successor = subScopesProcessor0;
236      subScopesProcessor0.Operators.Add(bestQualityInitializer);
237      subScopesProcessor0.Successor = resultsCollector1;
238      bestQualityInitializer.Successor = analyzer1;
239      analyzer1.Successor = null;
240      resultsCollector1.Successor = resultsCollector2;
241      resultsCollector2.Successor = solutionProcessor;
242      solutionProcessor.Operators.Add(moveGenerator);
243      solutionProcessor.Successor = iterationsCounter;
244      moveGenerator.Successor = moveEvaluationProcessor;
245      moveEvaluationProcessor.Operator = moveEvaluator;
246      moveEvaluationProcessor.Successor = moveQualitySorter;
247      moveEvaluator.Successor = evaluatedMovesCounter;
248      evaluatedMovesCounter.Successor = tabuChecker;
249      tabuChecker.Successor = null;
250      moveQualitySorter.Successor = tabuSelector;
251      tabuSelector.Successor = emptyNeighborhoodBranch1;
252      emptyNeighborhoodBranch1.FalseBranch = moveMakingProcessor;
253      emptyNeighborhoodBranch1.TrueBranch = null;
254      emptyNeighborhoodBranch1.Successor = subScopesRemover;
255      moveMakingProcessor.Operators.Add(new EmptyOperator());
256      moveMakingProcessor.Operators.Add(selectedMoveMakingProcesor);
257      moveMakingProcessor.Successor = mergingReducer;
258      selectedMoveMakingProcesor.Operator = tabuMaker;
259      selectedMoveMakingProcesor.Successor = null;
260      tabuMaker.Successor = moveMaker;
261      moveMaker.Successor = null;
262      mergingReducer.Successor = analyzer2;
263      analyzer2.Successor = null;
264      subScopesRemover.Successor = null;
265      iterationsCounter.Successor = iterationsComparator;
266      iterationsComparator.Successor = resultsCollector3;
267      resultsCollector3.Successor = emptyNeighborhoodBranch2;
268      emptyNeighborhoodBranch2.TrueBranch = null;
269      emptyNeighborhoodBranch2.FalseBranch = iterationsTermination;
270      emptyNeighborhoodBranch2.Successor = null;
271      iterationsTermination.TrueBranch = null;
272      iterationsTermination.FalseBranch = solutionProcessor;
273      #endregion
274    }
275
276    public override IOperation Apply() {
277      if (MoveGeneratorParameter.ActualValue == null || MoveEvaluatorParameter.ActualValue == null || MoveMakerParameter.ActualValue == null
278        || TabuCheckerParameter.ActualValue == null || TabuMakerParameter.ActualValue == null)
279        return null;
280      return base.Apply();
281    }
282  }
283}
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