[6351] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Analysis;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Encodings.PermutationEncoding;
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| 29 | using HeuristicLab.Operators;
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| 30 | using HeuristicLab.Optimization;
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| 31 | using HeuristicLab.Optimization.Operators;
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| 32 | using HeuristicLab.Parameters;
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| 33 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 34 | using HeuristicLab.Random;
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| 35 |
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| 36 | namespace HeuristicLab.Problems.QuadraticAssignment.Algorithms {
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| 37 | [Item("Robust Taboo Search (QAP)", "The algorithm is described in Taillard, E. 1991. Robust Taboo Search for the Quadratic Assignment Problem. Parallel Computing 17, pp. 443-455.")]
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| 38 | [Creatable("Algorithms")]
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| 39 | [StorableClass]
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| 40 | public sealed class RobustTabooSearchQAP : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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| 41 | public string Filename { get; set; }
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| 42 |
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| 43 | #region Problem Properties
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| 44 | public override Type ProblemType {
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| 45 | get { return typeof(QuadraticAssignmentProblem); }
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| 46 | }
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| 47 | public new QuadraticAssignmentProblem Problem {
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| 48 | get { return (QuadraticAssignmentProblem)base.Problem; }
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| 49 | set { base.Problem = value; }
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| 50 | }
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| 51 | #endregion
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| 52 |
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| 53 | #region Parameter Properties
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| 54 | private FixedValueParameter<MultiAnalyzer> AnalyzerParameter {
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| 55 | get { return (FixedValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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| 56 | }
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| 57 | private FixedValueParameter<IntValue> SeedParameter {
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| 58 | get { return (FixedValueParameter<IntValue>)Parameters["Seed"]; }
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| 59 | }
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| 60 | private FixedValueParameter<BoolValue> SetSeedRandomlyParameter {
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| 61 | get { return (FixedValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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| 62 | }
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| 63 | private FixedValueParameter<IntValue> MaximumIterationsParameter {
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| 64 | get { return (FixedValueParameter<IntValue>)Parameters["MaximumIterations"]; }
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| 65 | }
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| 66 | private FixedValueParameter<IntValue> MinimumTabuTenureParameter {
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| 67 | get { return (FixedValueParameter<IntValue>)Parameters["MinimumTabuTenure"]; }
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| 68 | }
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| 69 | private FixedValueParameter<IntValue> MaximumTabuTenureParameter {
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| 70 | get { return (FixedValueParameter<IntValue>)Parameters["MaximumTabuTenure"]; }
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| 71 | }
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| 72 | private FixedValueParameter<IntValue> TabuTenureAdaptionIntervalParameter {
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| 73 | get { return (FixedValueParameter<IntValue>)Parameters["TabuTenureAdaptionInterval"]; }
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| 74 | }
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| 75 | private FixedValueParameter<BoolValue> UseAlternativeAspirationParameter {
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| 76 | get { return (FixedValueParameter<BoolValue>)Parameters["UseAlternativeAspiration"]; }
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| 77 | }
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| 78 | private FixedValueParameter<IntValue> AlternativeAspirationTenureParameter {
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| 79 | get { return (FixedValueParameter<IntValue>)Parameters["AlternativeAspirationTenure"]; }
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| 80 | }
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| 81 | #endregion
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| 82 |
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| 83 | #region Properties
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| 84 | public int Seed {
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| 85 | get { return SeedParameter.Value.Value; }
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| 86 | set { SeedParameter.Value.Value = value; }
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| 87 | }
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| 88 | public bool SetSeedRandomly {
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| 89 | get { return SetSeedRandomlyParameter.Value.Value; }
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| 90 | set { SetSeedRandomlyParameter.Value.Value = value; }
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| 91 | }
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| 92 | public int MaximumIterations {
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| 93 | get { return MaximumIterationsParameter.Value.Value; }
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| 94 | set { MaximumIterationsParameter.Value.Value = value; }
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| 95 | }
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| 96 | public int MinimumTabuTenure {
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| 97 | get { return MinimumTabuTenureParameter.Value.Value; }
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| 98 | set { MinimumTabuTenureParameter.Value.Value = value; }
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| 99 | }
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| 100 | public int MaximumTabuTenure {
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| 101 | get { return MaximumTabuTenureParameter.Value.Value; }
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| 102 | set { MaximumTabuTenureParameter.Value.Value = value; }
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| 103 | }
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| 104 | public int TabuTenureAdaptionInterval {
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| 105 | get { return TabuTenureAdaptionIntervalParameter.Value.Value; }
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| 106 | set { TabuTenureAdaptionIntervalParameter.Value.Value = value; }
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| 107 | }
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| 108 | public bool UseAlternativeAspiration {
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| 109 | get { return UseAlternativeAspirationParameter.Value.Value; }
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| 110 | set { UseAlternativeAspirationParameter.Value.Value = value; }
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| 111 | }
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| 112 | public int AlternativeAspirationTenure {
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| 113 | get { return AlternativeAspirationTenureParameter.Value.Value; }
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| 114 | set { AlternativeAspirationTenureParameter.Value.Value = value; }
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| 115 | }
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| 116 | #endregion
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| 117 |
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| 118 | [Storable]
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| 119 | private SolutionsCreator solutionsCreator;
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| 120 | [Storable]
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| 121 | private QAPRobustTabooSeachOperator mainOperator;
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| 122 | [Storable]
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| 123 | private BestAverageWorstQualityAnalyzer qualityAnalyzer;
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| 124 |
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| 125 | [StorableConstructor]
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| 126 | private RobustTabooSearchQAP(bool deserializing) : base(deserializing) { }
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| 127 | private RobustTabooSearchQAP(RobustTabooSearchQAP original, Cloner cloner)
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| 128 | : base(original, cloner) {
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| 129 | solutionsCreator = cloner.Clone(original.solutionsCreator);
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| 130 | mainOperator = cloner.Clone(original.mainOperator);
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| 131 | qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
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| 132 | }
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| 133 | public RobustTabooSearchQAP() {
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| 134 | Parameters.Add(new FixedValueParameter<MultiAnalyzer>("Analyzer", "The analyzers that are applied after each iteration.", new MultiAnalyzer()));
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| 135 | Parameters.Add(new FixedValueParameter<IntValue>("Seed", "The seed value of the random number generator.", new IntValue(0)));
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| 136 | Parameters.Add(new FixedValueParameter<BoolValue>("SetSeedRandomly", "True whether the seed should be set randomly for each run, false if it should be fixed.", new BoolValue(true)));
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| 137 | Parameters.Add(new FixedValueParameter<IntValue>("MaximumIterations", "The number of iterations that the algorithm should run.", new IntValue(10000)));
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| 138 | Parameters.Add(new FixedValueParameter<IntValue>("MinimumTabuTenure", "The minimum tabu tenure.", new IntValue(20)));
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| 139 | Parameters.Add(new FixedValueParameter<IntValue>("MaximumTabuTenure", "The maximum tabu tenure.", new IntValue(10)));
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| 140 | Parameters.Add(new FixedValueParameter<IntValue>("TabuTenureAdaptionInterval", "The amount of iterations that have to pass before the tabu tenure is adapted.", new IntValue(60)));
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| 141 | Parameters.Add(new FixedValueParameter<BoolValue>("UseAlternativeAspiration", "True if the alternative aspiration condition should be used that takes moves that have not been made for some time above others.", new BoolValue(false)));
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| 142 | Parameters.Add(new FixedValueParameter<IntValue>("AlternativeAspirationTenure", "The time t that a move will be remembered for the alternative aspiration condition.", new IntValue(10000)));
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| 143 |
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| 144 | qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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| 145 | qualityAnalyzer.ResultsParameter.ActualName = "Results";
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| 146 | AnalyzerParameter.Value.Operators.Add(qualityAnalyzer);
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| 147 |
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| 148 | RandomCreator randomCreator = new RandomCreator();
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| 149 | randomCreator.RandomParameter.ActualName = "Random";
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| 150 | randomCreator.SeedParameter.Value = null;
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| 151 | randomCreator.SeedParameter.ActualName = SeedParameter.Name;
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| 152 | randomCreator.SetSeedRandomlyParameter.Value = null;
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| 153 | randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
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| 154 |
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| 155 | OperatorGraph.InitialOperator = randomCreator;
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| 156 |
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| 157 | VariableCreator variableCreator = new VariableCreator();
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| 158 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Iterations", new IntValue(0)));
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| 159 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("TabuTenure", new IntValue(0)));
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| 160 | randomCreator.Successor = variableCreator;
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| 161 |
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| 162 | ResultsCollector resultsCollector = new ResultsCollector();
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| 163 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Iterations", "The actual iteration."));
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| 164 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("TabuTenure", "The actual tabu tenure."));
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| 165 | variableCreator.Successor = resultsCollector;
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| 166 |
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| 167 | solutionsCreator = new SolutionsCreator();
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| 168 | solutionsCreator.NumberOfSolutions = new IntValue(1);
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| 169 | resultsCollector.Successor = solutionsCreator;
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| 170 |
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| 171 | Placeholder analyzer = new Placeholder();
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| 172 | analyzer.Name = "(Analyzer)";
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| 173 | analyzer.OperatorParameter.ActualName = AnalyzerParameter.Name;
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| 174 | solutionsCreator.Successor = analyzer;
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| 175 |
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| 176 | UniformSubScopesProcessor ussp = new UniformSubScopesProcessor();
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| 177 | analyzer.Successor = ussp;
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| 178 |
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| 179 | mainOperator = new QAPRobustTabooSeachOperator();
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| 180 | mainOperator.AlternativeAspirationTenureParameter.ActualName = AlternativeAspirationTenureParameter.Name;
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| 181 | mainOperator.BestQualityParameter.ActualName = "BestSoFarQuality";
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| 182 | mainOperator.IterationsParameter.ActualName = "Iterations";
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| 183 | mainOperator.LongTermMemoryParameter.ActualName = "LongTermMemory";
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| 184 | mainOperator.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
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| 185 | mainOperator.MaximumTabuTenureParameter.ActualName = MaximumTabuTenureParameter.Name;
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| 186 | mainOperator.MinimumTabuTenureParameter.ActualName = MinimumTabuTenureParameter.Name;
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| 187 | mainOperator.RandomParameter.ActualName = "Random";
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| 188 | mainOperator.ShortTermMemoryParameter.ActualName = "ShortTermMemory";
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| 189 | mainOperator.TabuTenureAdaptionIntervalParameter.ActualName = TabuTenureAdaptionIntervalParameter.Name;
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| 190 | mainOperator.TabuTenureParameter.ActualName = "TabuTenure";
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| 191 | mainOperator.UseAlternativeAspirationParameter.ActualName = UseAlternativeAspirationParameter.Name;
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| 192 | ussp.Operator = mainOperator;
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| 193 |
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| 194 | IntCounter iterationsCounter = new IntCounter();
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| 195 | iterationsCounter.ValueParameter.ActualName = "Iterations";
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| 196 | iterationsCounter.Increment = new IntValue(1);
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| 197 | ussp.Successor = iterationsCounter;
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| 198 |
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| 199 | Comparator comparator = new Comparator();
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| 200 | comparator.Name = "Iterations < MaximumIterations ?";
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| 201 | comparator.LeftSideParameter.ActualName = "Iterations";
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| 202 | comparator.RightSideParameter.ActualName = MaximumIterationsParameter.Name;
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| 203 | comparator.Comparison = new Comparison(ComparisonType.Less);
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| 204 | comparator.ResultParameter.ActualName = "ContinueByIteration";
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| 205 | iterationsCounter.Successor = comparator;
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| 206 |
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| 207 | ConditionalBranch branch = new ConditionalBranch();
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| 208 | branch.ConditionParameter.ActualName = "ContinueByIteration";
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| 209 | branch.TrueBranch = analyzer;
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| 210 | comparator.Successor = branch;
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| 211 |
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| 212 | RegisterEventHandlers();
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| 213 | }
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| 214 |
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| 215 | public override IDeepCloneable Clone(Cloner cloner) {
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| 216 | return new RobustTabooSearchQAP(this, cloner);
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| 217 | }
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| 218 |
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| 219 | protected override void OnProblemChanged() {
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| 220 | base.OnProblemChanged();
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| 221 | UpdateProblemSpecificParameters();
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| 222 | ParameterizeOperators();
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| 223 | UpdateAnalyzers();
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| 224 | }
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| 225 |
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| 226 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
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| 227 | base.Problem_EvaluatorChanged(sender, e);
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| 228 | ParameterizeOperators();
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| 229 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 230 | }
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| 231 |
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| 232 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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| 233 | base.Problem_OperatorsChanged(sender, e);
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| 234 | UpdateAnalyzers();
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| 235 | }
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| 236 |
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| 237 | protected override void Problem_Reset(object sender, EventArgs e) {
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| 238 | base.Problem_Reset(sender, e);
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| 239 | UpdateProblemSpecificParameters();
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| 240 | ParameterizeOperators();
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| 241 | UpdateAnalyzers();
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| 242 | }
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| 243 |
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| 244 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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| 245 | ParameterizeOperators();
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| 246 | }
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| 247 |
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| 248 | private void RegisterEventHandlers() {
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| 249 | if (Problem != null) {
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| 250 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 251 | }
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| 252 | }
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| 253 |
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| 254 | public override void Start() {
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| 255 | if (ExecutionState == ExecutionState.Prepared) {
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| 256 | DoubleMatrix shortTermMemory = new DoubleMatrix(Problem.Weights.Rows, Problem.Weights.Rows);
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| 257 | DoubleMatrix longTermMemory = new DoubleMatrix(Problem.Weights.Rows, Problem.Weights.Rows);
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| 258 | for (int i = 0; i < shortTermMemory.Rows; i++)
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| 259 | for (int j = 0; j < shortTermMemory.Rows; j++) {
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| 260 | shortTermMemory[i, j] = -1;
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| 261 | longTermMemory[i, j] = -1;
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| 262 | }
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| 263 |
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| 264 | GlobalScope.Variables.Add(new Variable("ShortTermMemory", shortTermMemory));
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| 265 | GlobalScope.Variables.Add(new Variable("LongTermMemory", longTermMemory));
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| 266 | }
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| 267 | base.Start();
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| 268 | }
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| 269 |
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| 270 | private void UpdateProblemSpecificParameters() {
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| 271 | MinimumTabuTenure = (int)(0.9 * Problem.Weights.Rows);
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| 272 | MaximumTabuTenure = (int)(1.1 * Problem.Weights.Rows);
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| 273 | TabuTenureAdaptionInterval = 2 * MaximumTabuTenure;
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| 274 | }
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| 275 |
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| 276 | private void UpdateAnalyzers() {
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| 277 | AnalyzerParameter.Value.Operators.Clear();
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| 278 | if (Problem != null) {
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| 279 | foreach (IAnalyzer analyzer in ((IProblem)Problem).Operators.OfType<IAnalyzer>())
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| 280 | if (!(analyzer is AlleleFrequencyAnalyzer<Permutation>) && !(analyzer is PopulationDiversityAnalyzer<Permutation>))
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| 281 | AnalyzerParameter.Value.Operators.Add(analyzer);
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| 282 | }
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| 283 | AnalyzerParameter.Value.Operators.Add(qualityAnalyzer);
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| 284 | }
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| 285 |
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| 286 | private void ParameterizeOperators() {
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| 287 | if (Problem != null) {
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| 288 | solutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
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| 289 | solutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 290 |
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| 291 | qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.Name;
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| 292 |
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| 293 | mainOperator.DistancesParameter.ActualName = Problem.DistancesParameter.Name;
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| 294 | mainOperator.PermutationParameter.ActualName = Problem.SolutionCreator.PermutationParameter.ActualName;
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| 295 | mainOperator.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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| 296 | mainOperator.WeightsParameter.ActualName = Problem.WeightsParameter.Name;
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| 297 | }
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| 298 | }
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| 299 | }
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| 300 | }
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