1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 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 |
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23 | using System.Linq;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Optimization;
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28 | using HeuristicLab.Parameters;
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29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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30 |
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31 | namespace HeuristicLab.Analysis.AlgorithmBehavior.Analyzers {
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32 | [Item("MutationPerformanceAnalyzer", "An operator that analyzes the performance of mutation.")]
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33 | [StorableClass]
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34 | public class MutationPerformanceAnalyzer : InitializableOperator, IStatefulItem {
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35 | private const string ResultsParameterName = "Results";
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36 | private const string GenerationsParameterName = "Generations";
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37 |
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38 | #region Parameter properties
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39 | public ILookupParameter<ResultCollection> ResultsParameter {
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40 | get { return (ILookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
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41 | }
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42 | public ILookupParameter<IntValue> GenerationsParameter {
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43 | get { return (ILookupParameter<IntValue>)Parameters[GenerationsParameterName]; }
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44 | }
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45 | public ILookupParameter<DoubleValue> QualityAfterCrossoverParameter {
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46 | get { return (ILookupParameter<DoubleValue>)Parameters["QualityAfterCrossover"]; }
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47 | }
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48 | public ILookupParameter<DoubleValue> QualityAfterMutationParameter {
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49 | get { return (ILookupParameter<DoubleValue>)Parameters["QualityAfterMutation"]; }
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50 | }
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51 | public ILookupParameter<IItem> PermutationBeforeMutationParameter {
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52 | get { return (ILookupParameter<IItem>)Parameters["PermutationBeforeMutation"]; }
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53 | }
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54 | public ILookupParameter<IItem> PermutationAfterMutationParameter {
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55 | get { return (ILookupParameter<IItem>)Parameters["PermutationAfterMutation"]; }
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56 | }
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57 | public ILookupParameter<ItemCollection<IItem>> OperatorsParameter {
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58 | get { return (ILookupParameter<ItemCollection<IItem>>)Parameters["Operators"]; }
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59 | }
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60 | public IValueParameter<ISingleObjectiveSolutionSimilarityCalculator> SimilarityCalculatorParameter {
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61 | get { return (IValueParameter<ISingleObjectiveSolutionSimilarityCalculator>)Parameters["SimilarityCalculator"]; }
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62 | }
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63 | #endregion
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64 |
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65 | #region Properties
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66 | public ResultCollection Results {
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67 | get { return ResultsParameter.ActualValue; }
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68 | }
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69 | #endregion
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70 |
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71 | [Storable]
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72 | private ScatterPlotHelper diversityPlotHelper, qualityPlotHelper;
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73 | [Storable]
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74 | private int cnt = 0, lastGeneration = 0;
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75 |
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76 | [StorableConstructor]
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77 | private MutationPerformanceAnalyzer(bool deserializing) : base(deserializing) { }
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78 | private MutationPerformanceAnalyzer(MutationPerformanceAnalyzer original, Cloner cloner)
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79 | : base(original, cloner) {
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80 | diversityPlotHelper = (ScatterPlotHelper)original.diversityPlotHelper.Clone(cloner);
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81 | qualityPlotHelper = (ScatterPlotHelper)original.qualityPlotHelper.Clone(cloner);
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82 | cnt = original.cnt;
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83 | lastGeneration = original.lastGeneration;
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84 | }
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85 |
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86 | public MutationPerformanceAnalyzer()
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87 | : base() {
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88 | Parameters.Add(new LookupParameter<ResultCollection>(ResultsParameterName, "The results collection where the analysis values should be stored."));
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89 | Parameters.Add(new LookupParameter<IntValue>(GenerationsParameterName, "Nr of generations."));
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90 |
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91 | Parameters.Add(new LookupParameter<DoubleValue>("QualityAfterCrossover", "The evaluated quality of the child solution."));
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92 | QualityAfterCrossoverParameter.ActualName = "TSPTourLength";
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93 |
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94 | Parameters.Add(new LookupParameter<DoubleValue>("QualityAfterMutation", "The evaluated quality of the child solution."));
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95 | QualityAfterMutationParameter.ActualName = "TSPTourLengthM";
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96 |
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97 | Parameters.Add(new LookupParameter<IItem>("PermutationBeforeMutation"));
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98 | PermutationBeforeMutationParameter.ActualName = "TSPTourClone";
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99 |
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100 | Parameters.Add(new LookupParameter<IItem>("PermutationAfterMutation"));
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101 | PermutationAfterMutationParameter.ActualName = "TSPTour";
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102 |
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103 | Parameters.Add(new ValueParameter<ISingleObjectiveSolutionSimilarityCalculator>("SimilarityCalculator"));
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104 | Parameters.Add(new LookupParameter<ItemCollection<IItem>>("Operators", "The operators and items that the problem provides to the algorithms."));
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105 |
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106 | diversityPlotHelper = new ScatterPlotHelper(false, true);
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107 | qualityPlotHelper = new ScatterPlotHelper(false, true);
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108 | }
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109 |
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110 | public override IDeepCloneable Clone(Cloner cloner) {
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111 | return new MutationPerformanceAnalyzer(this, cloner);
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112 | }
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113 |
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114 | protected override void InitializeAction() {
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115 | if (SimilarityCalculatorParameter.Value == null) {
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116 | SimilarityCalculatorParameter.Value = OperatorsParameter.ActualValue.OfType<ISingleObjectiveSolutionSimilarityCalculator>().FirstOrDefault();
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117 | }
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118 | qualityPlotHelper.InitializePlot(Results, "Mutation Quality", "Solution Index", "Absolut Quality Difference");
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119 | diversityPlotHelper.InitializePlot(Results, "Mutation Diversity", "Solution Index", "Diversity");
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120 | Reset();
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121 | }
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122 |
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123 | public override IOperation Apply() {
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124 | Initialize();
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125 | Point2D<double> curPoint, divPoint;
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126 |
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127 | var qualityCX = QualityAfterCrossoverParameter.ActualValue.Value;
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128 | var qualityM = QualityAfterMutationParameter.ActualValue.Value;
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129 | var solutionBefore = PermutationBeforeMutationParameter.ActualValue;
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130 | var solutionAfter = PermutationAfterMutationParameter.ActualValue;
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131 |
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132 | Scope permutationBeforeScope = new Scope();
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133 | Scope permutationAfterScope = new Scope();
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134 | permutationBeforeScope.Variables.Add(new Variable(PermutationAfterMutationParameter.ActualName, solutionBefore));
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135 | permutationAfterScope.Variables.Add(new Variable(PermutationAfterMutationParameter.ActualName, solutionAfter));
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136 |
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137 | divPoint = new Point2D<double>(cnt, SimilarityCalculatorParameter.Value.CalculateSolutionSimilarity(permutationBeforeScope, permutationAfterScope));
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138 | curPoint = new Point2D<double>(cnt++, qualityCX - qualityM);
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139 |
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140 |
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141 | string curGenStr = GenerationsParameter.ActualValue.Value.ToString();
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142 |
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143 | qualityPlotHelper.AddPoint(curGenStr, curPoint);
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144 | diversityPlotHelper.AddPoint(curGenStr, divPoint);
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145 |
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146 | if (GenerationsParameter.ActualValue.Value != 0) {
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147 | if (GenerationsParameter.ActualValue.Value > lastGeneration) {
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148 | Reset();
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149 | }
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150 | }
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151 |
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152 | return base.Apply();
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153 | }
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154 |
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155 | private void Reset() {
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156 | cnt = 0;
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157 | lastGeneration = GenerationsParameter.ActualValue.Value;
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158 | }
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159 |
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160 | public override void ClearState() {
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161 | qualityPlotHelper.CleanUp();
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162 | diversityPlotHelper.CleanUp();
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163 | }
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164 | }
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165 | }
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