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.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.Parameters;
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32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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33 |
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34 | namespace HeuristicLab.Analysis.AlgorithmBehavior.Analyzers {
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35 | [Item("CrossoverPerformanceAnalyzer", "An operator that analyzes the performance of crossovers.")]
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36 | [StorableClass]
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37 | public class CrossoverPerformanceAnalyzer : SingleSuccessorOperator, IAnalyzer {
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38 | private const string ResultsParameterName = "Results";
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39 | private const string GenerationsParameterName = "Generations";
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40 |
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41 | #region IAnalyzer Members
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42 | public bool EnabledByDefault {
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43 | get { return true; }
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44 | }
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45 | #endregion
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46 |
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47 |
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48 | #region Parameter properties
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49 | public ILookupParameter<ResultCollection> ResultsParameter {
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50 | get { return (ILookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
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51 | }
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52 | public ILookupParameter<IntValue> GenerationsParameter {
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53 | get { return (ILookupParameter<IntValue>)Parameters[GenerationsParameterName]; }
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54 | }
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55 | public ILookupParameter<ItemArray<Permutation>> ParentsParameter {
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56 | get { return (ScopeTreeLookupParameter<Permutation>)Parameters["Parents"]; }
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57 | }
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58 | public ILookupParameter<ItemArray<DoubleValue>> ParentsQualityParameter {
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59 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["ParentsQuality"]; }
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60 | }
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61 | public ILookupParameter<Permutation> ChildParameter {
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62 | get { return ((LookupParameter<Permutation>)Parameters["Child"]); }
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63 | }
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64 | public ILookupParameter<DoubleValue> QualityParameter {
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65 | get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
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66 | }
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67 | #endregion
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68 |
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69 | #region Properties
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70 | public ResultCollection Results {
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71 | get { return ResultsParameter.ActualValue; }
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72 | }
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73 | #endregion
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74 |
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75 | ScatterPlot plot;
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76 | DataRow dtRow;
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77 | int cnt = 0;
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78 |
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79 | [StorableConstructor]
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80 | private CrossoverPerformanceAnalyzer(bool deserializing) : base(deserializing) { }
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81 | private CrossoverPerformanceAnalyzer(CrossoverPerformanceAnalyzer original, Cloner cloner) : base(original, cloner) { }
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82 | public CrossoverPerformanceAnalyzer()
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83 | : base() {
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84 | Parameters.Add(new LookupParameter<ResultCollection>(ResultsParameterName, "The results collection where the analysis values should be stored."));
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85 | Parameters.Add(new LookupParameter<IntValue>(GenerationsParameterName, "Nr of generations."));
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86 |
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87 | Parameters.Add(new ScopeTreeLookupParameter<Permutation>("Parents", "The parent permutations which have been crossed."));
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88 | ParentsParameter.ActualName = "TSPTour";
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89 |
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90 | Parameters.Add(new LookupParameter<Permutation>("Child", "The child permutation resulting from the crossover."));
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91 | ChildParameter.ActualName = "TSPTour";
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92 |
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93 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("ParentsQuality", "The quality of the parent solutions."));
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94 | ParentsQualityParameter.ActualName = "TSPTourLength";
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95 |
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96 | Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The evaluated quality of the child solution."));
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97 | QualityParameter.ActualName = "TSPTourLength";
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98 | }
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99 |
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100 | public override IDeepCloneable Clone(Cloner cloner) {
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101 | return new CrossoverPerformanceAnalyzer(this, cloner);
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102 | }
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103 |
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104 | public override IOperation Apply() {
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105 | var qualityParent1 = ParentsQualityParameter.ActualValue.First().Value;
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106 | var qualityParent2 = ParentsQualityParameter.ActualValue.Last().Value;
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107 | Point2D<double> curPoint;
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108 |
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109 | double worseQuality = qualityParent1 > qualityParent2 ? qualityParent1 : qualityParent2;
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110 | curPoint = new Point2D<double>(cnt++, worseQuality - QualityParameter.ActualValue.Value);
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111 |
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112 | string curGenStr = GenerationsParameter.ActualValue.Value.ToString();
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113 | ScatterPlotDataRow row;
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114 |
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115 | if (!Results.ContainsKey("Scatter Plot")) {
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116 | InitializePlot();
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117 | Results.Add(new Result("Scatter Plot", plot));
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118 | Results.Add(new Result("Scatter Plot History", new ScatterPlotHistory()));
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119 | cnt = 0;
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120 |
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121 | DataTable dt = new DataTable("Average Crossover Performance");
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122 | dtRow = new DataRow("Average Crossover Performance per Generation");
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123 | dt.Rows.Add(dtRow);
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124 | Results.Add(new Result("Average Crossover Performance", dt));
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125 | }
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126 |
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127 | if (!plot.Rows.ContainsKey(curGenStr)) {
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128 | if (GenerationsParameter.ActualValue.Value != 0) {
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129 | double avg = plot.Rows[(GenerationsParameter.ActualValue.Value - 1).ToString()].Points.Average(x => x.Y);
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130 | dtRow.Values.Add(avg);
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131 |
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132 | ((ScatterPlotHistory)Results["Scatter Plot History"].Value).Add(plot);
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133 | InitializePlot();
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134 | Results["Scatter Plot"].Value = plot;
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135 | cnt = 0;
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136 | }
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137 |
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138 | var points = new List<Point2D<double>>();
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139 | points.Add(curPoint);
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140 | row = new ScatterPlotDataRow(curGenStr, null, points);
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141 | row.VisualProperties.PointStyle = ScatterPlotDataRowVisualProperties.ScatterPlotDataRowPointStyle.Circle;
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142 | row.VisualProperties.PointSize = 5;
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143 | plot.Rows.Add(row);
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144 | } else {
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145 | plot.Rows[curGenStr].Points.Add(curPoint);
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146 | }
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147 |
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148 | return base.Apply();
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149 | }
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150 |
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151 | private void InitializePlot() {
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152 | plot = new ScatterPlot("Crossover Performance", null);
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153 | plot.VisualProperties.XAxisTitle = "Solution Index";
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154 | plot.VisualProperties.YAxisTitle = "Absolut Quality Difference";
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155 | }
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156 | }
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157 | }
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