[8022] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[11170] | 3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8022] | 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.Operators;
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| 28 | using HeuristicLab.Optimization;
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| 29 | using HeuristicLab.Parameters;
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| 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 |
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| 32 | namespace HeuristicLab.Problems.LinearAssignment {
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| 33 | /// <summary>
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| 34 | /// A genetic algorithm.
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| 35 | /// </summary>
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[8124] | 36 | [Item("Hungarian Algorithm", "The Hungarian algorithm can be used to solve the linear assignment problem in O(n^3). It is also known as the Kuhn–Munkres algorithm or Munkres assignment algorithm.")]
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[8022] | 37 | [Creatable("Algorithms")]
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| 38 | [StorableClass]
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[8183] | 39 | public sealed class HungarianAlgorithm : EngineAlgorithm, IStorableContent {
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| 40 | public string Filename { get; set; }
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| 41 |
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[8022] | 42 | #region Problem Properties
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| 43 | public override Type ProblemType {
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| 44 | get { return typeof(LinearAssignmentProblem); }
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| 45 | }
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| 46 | public new LinearAssignmentProblem Problem {
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| 47 | get { return (LinearAssignmentProblem)base.Problem; }
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| 48 | set { base.Problem = value; }
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| 49 | }
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| 50 | #endregion
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| 51 |
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| 52 | #region Parameter Properties
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| 53 | private ValueParameter<MultiAnalyzer> AnalyzerParameter {
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| 54 | get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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| 55 | }
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| 56 | #endregion
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| 57 |
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| 58 | #region Properties
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| 59 | public MultiAnalyzer Analyzer {
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| 60 | get { return AnalyzerParameter.Value; }
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| 61 | set { AnalyzerParameter.Value = value; }
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| 62 | }
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| 63 | private LinearAssignmentProblemSolver Solver {
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| 64 | get { return (LinearAssignmentProblemSolver)OperatorGraph.InitialOperator; }
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| 65 | }
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| 66 | #endregion
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| 67 |
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| 68 | [StorableConstructor]
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| 69 | private HungarianAlgorithm(bool deserializing) : base(deserializing) { }
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| 70 | private HungarianAlgorithm(HungarianAlgorithm original, Cloner cloner)
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| 71 | : base(original, cloner) {
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[8183] | 72 | RegisterEventHandlers();
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[8022] | 73 | }
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| 74 | public HungarianAlgorithm()
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| 75 | : base() {
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| 76 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the result.", new MultiAnalyzer()));
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| 77 |
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| 78 | var solver = new LinearAssignmentProblemSolver();
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| 79 | OperatorGraph.InitialOperator = solver;
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| 80 |
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| 81 | var placeholder = new Placeholder();
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| 82 | placeholder.Name = "(Analyzer)";
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| 83 | placeholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
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| 84 | solver.Successor = placeholder;
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| 85 |
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| 86 | UpdateAnalyzers();
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[8183] | 87 | RegisterEventHandlers();
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[8093] | 88 |
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| 89 | Problem = new LinearAssignmentProblem();
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[8022] | 90 | }
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| 91 |
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| 92 | public override IDeepCloneable Clone(Cloner cloner) {
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| 93 | return new HungarianAlgorithm(this, cloner);
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| 94 | }
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| 95 |
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| 96 | public override void Prepare() {
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| 97 | if (Problem != null) base.Prepare();
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| 98 | }
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| 99 |
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| 100 | #region Events
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| 101 | protected override void OnProblemChanged() {
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| 102 | Problem.SolutionCreatorChanged += new EventHandler(Problem_SolutionCreatorChanged);
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| 103 | Problem.EvaluatorChanged += new EventHandler(Problem_EvaluatorChanged);
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| 104 | UpdateAnalyzers();
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| 105 | Parameterize();
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| 106 | base.OnProblemChanged();
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| 107 | }
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| 108 |
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| 109 | private void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
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| 110 | Parameterize();
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| 111 | }
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| 112 |
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| 113 | private void Problem_EvaluatorChanged(object sender, EventArgs e) {
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| 114 | Parameterize();
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| 115 | }
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| 116 |
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| 117 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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| 118 | UpdateAnalyzers();
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| 119 | base.Problem_OperatorsChanged(sender, e);
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| 120 | }
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| 121 | #endregion
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| 122 |
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| 123 | #region Helpers
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| 124 | [StorableHook(HookType.AfterDeserialization)]
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[8183] | 125 | private void AfterDeserialization() {
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| 126 | RegisterEventHandlers();
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| 127 | }
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| 128 |
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| 129 | private void RegisterEventHandlers() {
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[8022] | 130 | if (Problem != null) {
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| 131 | Problem.SolutionCreatorChanged += new EventHandler(Problem_SolutionCreatorChanged);
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| 132 | Problem.EvaluatorChanged += new EventHandler(Problem_EvaluatorChanged);
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| 133 | }
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| 134 | }
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| 135 | private void UpdateAnalyzers() {
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| 136 | Analyzer.Operators.Clear();
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| 137 | if (Problem != null) {
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| 138 | foreach (var analyzer in Problem.OperatorsParameter.Value.OfType<IAnalyzer>()) {
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| 139 | foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
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| 140 | param.Depth = 0;
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| 141 | Analyzer.Operators.Add(analyzer);
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| 142 | }
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| 143 | }
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| 144 | }
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| 145 | private void Parameterize() {
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| 146 | if (Problem != null) {
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| 147 | Solver.AssignmentParameter.ActualName = Problem.SolutionCreator.PermutationParameter.ActualName;
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| 148 | Solver.CostsParameter.ActualName = Problem.CostsParameter.Name;
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| 149 | Solver.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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| 150 | }
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| 151 | }
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| 152 | #endregion
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| 153 | }
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| 154 | }
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