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source: branches/VNS/HeuristicLab.Algorithms.VariableNeighborhoodSearch/3.3/VariableNeighborhoodSearchMainLoop.cs @ 5622

Last change on this file since 5622 was 5622, checked in by svonolfe, 12 years ago

Worked on VNS (#1425)

File size: 13.7 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 System.Text;
26using HeuristicLab.Operators;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28using HeuristicLab.Common;
29using HeuristicLab.Core;
30using HeuristicLab.Parameters;
31using HeuristicLab.Data;
32using HeuristicLab.Optimization.Operators;
33using HeuristicLab.Selection;
34using HeuristicLab.Optimization;
35
36namespace HeuristicLab.Algorithms.VariableNeighborhoodSearch {
37  /// <summary>
38  /// An operator which represents a variable neighborhood search.
39  /// </summary>
40  [Item("VariableNeighborhoodSearchMainLoop", "An operator which represents the main loop of a variable neighborhood search.")]
41  [StorableClass]
42  public sealed class VariableNeighborhoodSearchMainLoop : AlgorithmOperator {
43    #region Parameter properties
44    public ValueLookupParameter<IRandom> RandomParameter {
45      get { return (ValueLookupParameter<IRandom>)Parameters["Random"]; }
46    }
47    public ValueLookupParameter<BoolValue> MaximizationParameter {
48      get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
49    }
50    public LookupParameter<DoubleValue> QualityParameter {
51      get { return (LookupParameter<DoubleValue>)Parameters["Quality"]; }
52    }
53    public ValueLookupParameter<DoubleValue> BestKnownQualityParameter {
54      get { return (ValueLookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
55    }
56    public ValueLookupParameter<IOperator> EvaluatorParameter {
57      get { return (ValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
58    }
59    public ValueLookupParameter<IntValue> MaximumIterationsParameter {
60      get { return (ValueLookupParameter<IntValue>)Parameters["MaximumIterations"]; }
61    }
62    public ValueLookupParameter<VariableCollection> ResultsParameter {
63      get { return (ValueLookupParameter<VariableCollection>)Parameters["Results"]; }
64    }
65    public ValueLookupParameter<IOperator> AnalyzerParameter {
66      get { return (ValueLookupParameter<IOperator>)Parameters["Analyzer"]; }
67    }
68    public LookupParameter<IntValue> EvaluatedSolutionsParameter {
69      get { return (LookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
70    }
71    public ValueLookupParameter<ILocalImprovement> LocalImprovementParameter {
72      get { return (ValueLookupParameter<ILocalImprovement>)Parameters["LocalImprovement"]; }
73    }
74    public ValueLookupParameter<ShakingOperator> ShakingParameter {
75      get { return (ValueLookupParameter<ShakingOperator>)Parameters["Shaking"]; }
76    }
77    #endregion
78
79    [StorableConstructor]
80    private VariableNeighborhoodSearchMainLoop(bool deserializing) : base(deserializing) { }
81    public VariableNeighborhoodSearchMainLoop()
82      : base() {
83        Initialize();
84    }
85    private VariableNeighborhoodSearchMainLoop(VariableNeighborhoodSearchMainLoop original, Cloner cloner)
86      : base(original, cloner) {
87    }
88    public override IDeepCloneable Clone(Cloner cloner) {
89      return new VariableNeighborhoodSearchMainLoop(this, cloner);
90    }
91
92    private void Initialize() {
93      #region Create parameters
94      Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
95      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
96      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
97      Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
98      Parameters.Add(new ValueLookupParameter<IOperator>("Evaluator", "The operator used to evaluate solutions. This operator is executed in parallel, if an engine is used which supports parallelization."));
99      Parameters.Add(new ValueLookupParameter<IntValue>("MaximumIterations", "The maximum number of generations which should be processed."));
100      Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
101
102      Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze the solution."));
103      Parameters.Add(new LookupParameter<IntValue>("EvaluatedSolutions", "The number of evaluated solutions."));
104      Parameters.Add(new ValueLookupParameter<ILocalImprovement>("LocalImprovement", "The local improvement operation."));
105      Parameters.Add(new ValueLookupParameter<ShakingOperator>("Shaking", "The shaking operation."));
106      #endregion
107
108      #region Create operators
109      VariableCreator variableCreator = new VariableCreator();
110      SubScopesProcessor subScopesProcessor0 = new SubScopesProcessor();
111      Assigner bestQualityInitializer = new Assigner();
112      Placeholder analyzer1 = new Placeholder();
113      ResultsCollector resultsCollector1 = new ResultsCollector();
114
115      CombinedOperator iteration = new CombinedOperator();
116      Assigner iterationInit = new Assigner();
117
118      ChildrenCreator createChild = new ChildrenCreator();
119      SubScopesProcessor childProcessor = new SubScopesProcessor();
120      ParentCopyCrossover parentCloner = new ParentCopyCrossover();
121
122      Assigner qualityAssigner = new Assigner();
123      Placeholder shaking = new Placeholder();
124      Placeholder localImprovement = new Placeholder();
125      Placeholder evaluator = new Placeholder();
126      IntCounter evalCounter = new IntCounter();
127
128      QualityComparator qualityComparator = new QualityComparator();
129      ConditionalBranch improvesQualityBranch = new ConditionalBranch();
130      ConditionalBranch improvesQualityBranch2 = new ConditionalBranch();
131
132      Assigner bestQualityUpdater = new Assigner();
133      ScopeCleaner cleaner = new ScopeCleaner();
134      ParentCopyCrossover originalRestorer = new ParentCopyCrossover();
135
136      IntCounter indexCounter = new IntCounter();
137      Assigner indexResetter = new Assigner();
138
139      SubScopesRemover remover1 = new SubScopesRemover();
140      SubScopesRemover remover2 = new SubScopesRemover();
141      Placeholder analyzer2 = new Placeholder();
142
143      ConditionalBranch indexTermination = new ConditionalBranch();
144
145      IntCounter iterationsCounter = new IntCounter();
146      Comparator iterationsComparator = new Comparator();
147      ConditionalBranch iterationsTermination = new ConditionalBranch();
148
149      variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("OuterIterations", new IntValue(0)));
150      variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("Index", new DoubleValue(0)));
151      variableCreator.CollectedValues.Add(new ValueParameter<BoolValue>("Continue", new BoolValue(false)));
152      variableCreator.CollectedValues.Add(new ValueParameter<BoolValue>("IsBetter", new BoolValue(false)));
153      variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("BestQuality", new DoubleValue(0)));
154
155      bestQualityInitializer.Name = "Initialize BestQuality";
156      bestQualityInitializer.LeftSideParameter.ActualName = "BestQuality";
157      bestQualityInitializer.RightSideParameter.ActualName = QualityParameter.Name;
158
159      analyzer1.Name = "Analyzer (placeholder)";
160      analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
161
162      resultsCollector1.CopyValue = new BoolValue(false);
163      resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>("OuterIterations"));
164      resultsCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Best Quality", null, "BestQuality"));
165      resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
166
167      iteration.Name = "Iteration";
168
169      iterationInit.Name = "Init iteration";
170      iterationInit.LeftSideParameter.ActualName = "Index";
171      iterationInit.RightSideParameter.Value = new IntValue(0);
172
173      createChild.Name = "Create child";
174      createChild.ParentsPerChild.Value = 1;
175
176      parentCloner.Name = "Copy parent";
177
178      qualityAssigner.Name = "Assign quality";
179      qualityAssigner.LeftSideParameter.ActualName = "OriginalQuality";
180      qualityAssigner.RightSideParameter.ActualName = QualityParameter.Name;
181
182      shaking.Name = "Shaking operator (placeholder)";
183      shaking.OperatorParameter.ActualName = ShakingParameter.Name;
184
185      localImprovement.Name = "Local improvement operator (placeholder)";
186      localImprovement.OperatorParameter.ActualName = LocalImprovementParameter.Name;
187
188      evaluator.Name = "Evaluation operator (placeholder)";
189      evaluator.OperatorParameter.ActualName = EvaluatorParameter.Name;
190
191      evalCounter.Name = "Count evaluateions";
192      evalCounter.Increment.Value = 1;
193      evalCounter.ValueParameter.ActualName = EvaluatedSolutionsParameter.ActualName;
194
195      qualityComparator.LeftSideParameter.ActualName = QualityParameter.Name;
196      qualityComparator.RightSideParameter.ActualName = "OriginalQuality";
197      qualityComparator.ResultParameter.ActualName = "IsBetter";
198
199      improvesQualityBranch.ConditionParameter.ActualName = "IsBetter";
200      improvesQualityBranch2.ConditionParameter.ActualName = "IsBetter";
201
202      bestQualityUpdater.Name = "Update BestQuality";
203      bestQualityUpdater.LeftSideParameter.ActualName = "BestQuality";
204      bestQualityUpdater.RightSideParameter.ActualName = QualityParameter.Name;
205
206      cleaner.Name = "Clean scope";
207      cleaner.ClearSubScopesParameter.Value = new BoolValue(false);
208      originalRestorer.Name = "Restore original solution";
209
210      indexCounter.Name = "Count index";
211      indexCounter.Increment.Value = 1;
212      indexCounter.ValueParameter.ActualName = "Index";
213
214      indexResetter.Name = "Reset index";
215      indexResetter.LeftSideParameter.ActualName = "Index";
216      indexResetter.RightSideParameter.Value = new IntValue(0);
217
218      remover1.Name = remover2.Name = "Remove subscope";
219
220      analyzer2.Name = "Analyzer (placeholder)";
221      analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
222
223      originalRestorer.Name = "Restore parent";
224
225      iterationsCounter.Name = "Iterations Counter";
226      iterationsCounter.Increment = new IntValue(1);
227      iterationsCounter.ValueParameter.ActualName = "OuterIterations";
228
229      iterationsComparator.Name = "Iterations >= MaximumIterations";
230      iterationsComparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
231      iterationsComparator.LeftSideParameter.ActualName = "OuterIterations";
232      iterationsComparator.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
233      iterationsComparator.ResultParameter.ActualName = "Terminate";
234
235      iterationsTermination.Name = "Iterations Termination Condition";
236      iterationsTermination.ConditionParameter.ActualName = "Terminate";
237
238      indexTermination.Name = "Index Termination Condition";
239      indexTermination.ConditionParameter.ActualName = "Continue";
240      #endregion
241
242      #region Create operator graph
243      OperatorGraph.InitialOperator = variableCreator;
244      variableCreator.Successor = analyzer1;
245      analyzer1.Successor = subScopesProcessor0;
246      subScopesProcessor0.Operators.Add(bestQualityInitializer);
247      subScopesProcessor0.Successor = resultsCollector1;
248      /////////
249      resultsCollector1.Successor = iteration;
250
251      iteration.OperatorGraph.InitialOperator = iterationInit;
252      iteration.Successor = iterationsCounter;
253      iterationInit.Successor = createChild;
254
255      createChild.Successor = childProcessor;
256      childProcessor.Operators.Add(parentCloner);
257      childProcessor.Successor = analyzer2;
258      /////////
259      parentCloner.Successor = qualityAssigner;
260      qualityAssigner.Successor = shaking;
261      shaking.Successor = evaluator;
262      evaluator.Successor = evalCounter;
263      evalCounter.Successor = localImprovement;
264      localImprovement.Successor = qualityComparator;
265      qualityComparator.Successor = improvesQualityBranch;
266      improvesQualityBranch.TrueBranch = bestQualityUpdater;
267      improvesQualityBranch.FalseBranch = cleaner;
268
269      bestQualityUpdater.Successor = indexResetter;
270      indexResetter.Successor = remover1;
271
272      cleaner.Successor = originalRestorer;
273      originalRestorer.Successor = remover2;
274      remover2.Successor = indexCounter;
275      /////////
276      analyzer2.Successor = indexTermination;
277      indexTermination.TrueBranch = improvesQualityBranch2;
278      indexTermination.FalseBranch = null;
279
280      improvesQualityBranch2.TrueBranch = null;
281      improvesQualityBranch2.FalseBranch = createChild;
282
283      iterationsCounter.Successor = iterationsComparator;
284      iterationsComparator.Successor = iterationsTermination;
285      iterationsTermination.TrueBranch = null;
286      iterationsTermination.FalseBranch = iteration;
287      #endregion
288    }
289
290    public override IOperation Apply() {
291      if (LocalImprovementParameter.ActualValue == null || EvaluatorParameter.ActualValue == null)
292        return null;
293      return base.Apply();
294    }
295  }
296}
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