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.Collections.Generic;
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24 | using System.Linq;
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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.Operators;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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32 |
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33 | namespace HeuristicLab.Analysis.AlgorithmBehavior.Analyzers {
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34 | [Item("DuplicateSolutionsAnalyzer", "An operator that analyzes duplicate solutions in the population.")]
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35 | [StorableClass]
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36 | public class DuplicateSolutionsAnalyzer : SingleSuccessorOperator, IAnalyzer {
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37 | private const string ResultsParameterName = "Results";
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38 |
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39 | #region IAnalyzer Members
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40 | public bool EnabledByDefault {
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41 | get { return false; }
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42 | }
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43 | #endregion
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44 |
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45 | #region Parameter properties
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46 | public ILookupParameter<ResultCollection> ResultsParameter {
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47 | get { return (ILookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
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48 | }
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49 | public IValueParameter<ISingleObjectiveSolutionSimilarityCalculator> SimilarityCalculatorParameter {
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50 | get { return (IValueParameter<ISingleObjectiveSolutionSimilarityCalculator>)Parameters["SimilarityCalculator"]; }
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51 | }
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52 | public ILookupParameter<ItemCollection<IItem>> OperatorsParameter {
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53 | get { return (ILookupParameter<ItemCollection<IItem>>)Parameters["Operators"]; }
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54 | }
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55 | public ValueParameter<IntValue> UpdateIntervalParameter {
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56 | get { return (ValueParameter<IntValue>)Parameters["UpdateInterval"]; }
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57 | }
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58 | public ILookupParameter<IntValue> GenerationsParameter {
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59 | get { return (ILookupParameter<IntValue>)Parameters["Generations"]; }
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60 | }
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61 | #endregion
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62 |
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63 | #region Properties
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64 | public ResultCollection Results {
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65 | get { return ResultsParameter.ActualValue; }
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66 | }
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67 |
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68 | [Storable]
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69 | private DataTableHelper chartingHelper, similarityChartHelper;
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70 | #endregion
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71 |
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72 | [StorableConstructor]
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73 | private DuplicateSolutionsAnalyzer(bool deserializing) : base(deserializing) { }
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74 |
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75 | private DuplicateSolutionsAnalyzer(DuplicateSolutionsAnalyzer original, Cloner cloner)
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76 | : base(original, cloner) {
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77 | chartingHelper = (DataTableHelper)original.chartingHelper.Clone(cloner);
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78 | similarityChartHelper = (DataTableHelper)original.similarityChartHelper.Clone(cloner);
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79 | }
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80 |
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81 | public DuplicateSolutionsAnalyzer()
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82 | : base() {
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83 | Parameters.Add(new LookupParameter<ResultCollection>(ResultsParameterName, "The results collection where the analysis values should be stored."));
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84 | Parameters.Add(new ValueParameter<ISingleObjectiveSolutionSimilarityCalculator>("SimilarityCalculator"));
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85 | Parameters.Add(new LookupParameter<ItemCollection<IItem>>("Operators", "The operators and items that the problem provides to the algorithms."));
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86 | Parameters.Add(new ValueParameter<IntValue>("UpdateInterval", "The interval in which the operator should be applied.", new IntValue(2)));
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87 | Parameters.Add(new LookupParameter<IntValue>("Generations", "Nr of generations."));
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88 |
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89 | chartingHelper = new DataTableHelper();
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90 | similarityChartHelper = new DataTableHelper();
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91 | }
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92 |
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93 | public override IDeepCloneable Clone(Cloner cloner) {
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94 | return new DuplicateSolutionsAnalyzer(this, cloner);
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95 | }
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96 |
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97 | public override IOperation Apply() {
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98 | if (SimilarityCalculatorParameter.Value == null) {
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99 | SimilarityCalculatorParameter.Value = OperatorsParameter.ActualValue.OfType<ISingleObjectiveSolutionSimilarityCalculator>().FirstOrDefault();
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100 | }
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101 | chartingHelper.InitializeChart(Results, "Duplicate Solutions", new string[] { "Duplicate Solutions per Generation" });
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102 | similarityChartHelper.InitializeChart(Results, "Average Similarity", new string[] { "Avg. Similarity per Generation" });
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103 |
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104 | if (GenerationsParameter.ActualValue.Value % UpdateIntervalParameter.Value.Value == 0) {
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105 | var similarities = SimilarityCalculatorParameter.Value.CalculateSolutionCrowdSimilarity(ExecutionContext.Scope);
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106 | List<double> similaritiesArr = new List<double>();
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107 | int counter = 0;
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108 | for (int i = 0; i < similarities.Length; i++) {
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109 | for (int j = 0; j < similarities[i].Length; j++) {
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110 | if (similarities[i][j] == 1.0 && i != j) {
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111 | counter++;
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112 | break;
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113 | }
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114 | }
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115 | for (int j = 0; j < similarities[i].Length; j++) {
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116 | if (i != j) {
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117 | similaritiesArr.Add(similarities[i][j]);
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118 | }
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119 | }
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120 | }
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121 |
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122 | similarityChartHelper.AddPoint(similaritiesArr.Average());
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123 | chartingHelper.AddPoint(counter / (double)similarities.Length);
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124 | }
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125 | return base.Apply();
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126 | }
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127 | }
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128 | }
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