[8336] | 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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[8382] | 31 | using HeuristicLab.Optimization.Operators;
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[8336] | 32 | using HeuristicLab.Parameters;
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| 33 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 34 |
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| 35 | namespace HeuristicLab.Analysis.AlgorithmBehavior.Analyzers {
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| 36 | [Item("CrossoverPerformanceAnalyzer", "An operator that analyzes the performance of crossovers.")]
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| 37 | [StorableClass]
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| 38 | public class CrossoverPerformanceAnalyzer : SingleSuccessorOperator, IAnalyzer {
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| 39 | private const string ResultsParameterName = "Results";
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| 40 | private const string GenerationsParameterName = "Generations";
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| 41 |
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| 42 | #region IAnalyzer Members
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| 43 | public bool EnabledByDefault {
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| 44 | get { return true; }
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| 45 | }
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| 46 | #endregion
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| 47 |
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| 48 |
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| 49 | #region Parameter properties
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| 50 | public ILookupParameter<ResultCollection> ResultsParameter {
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| 51 | get { return (ILookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
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| 52 | }
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| 53 | public ILookupParameter<IntValue> GenerationsParameter {
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| 54 | get { return (ILookupParameter<IntValue>)Parameters[GenerationsParameterName]; }
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| 55 | }
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| 56 | public ILookupParameter<ItemArray<Permutation>> ParentsParameter {
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| 57 | get { return (ScopeTreeLookupParameter<Permutation>)Parameters["Parents"]; }
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| 58 | }
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| 59 | public ILookupParameter<ItemArray<DoubleValue>> ParentsQualityParameter {
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| 60 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["ParentsQuality"]; }
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| 61 | }
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| 62 | public ILookupParameter<Permutation> ChildParameter {
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| 63 | get { return ((LookupParameter<Permutation>)Parameters["Child"]); }
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| 64 | }
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| 65 | public ILookupParameter<DoubleValue> QualityParameter {
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| 66 | get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
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| 67 | }
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[8382] | 68 | public IValueParameter<SingleObjectiveSolutionSimilarityCalculator> SimilarityCalculatorParameter {
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| 69 | get { return (IValueParameter<SingleObjectiveSolutionSimilarityCalculator>)Parameters["SimilarityCalculator"]; }
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| 70 | }
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[8336] | 71 | #endregion
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| 72 |
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| 73 | #region Properties
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| 74 | public ResultCollection Results {
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| 75 | get { return ResultsParameter.ActualValue; }
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| 76 | }
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| 77 | #endregion
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| 78 |
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[8382] | 79 | ScatterPlot plot, childDiversityPlot, parentDiversityPlot;
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| 80 | DataRow dtRow, dtRowSuccess;
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[8336] | 81 | int cnt = 0;
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[8382] | 82 | int success = 0;
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[8336] | 83 |
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| 84 | [StorableConstructor]
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| 85 | private CrossoverPerformanceAnalyzer(bool deserializing) : base(deserializing) { }
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| 86 | private CrossoverPerformanceAnalyzer(CrossoverPerformanceAnalyzer original, Cloner cloner) : base(original, cloner) { }
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| 87 | public CrossoverPerformanceAnalyzer()
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| 88 | : base() {
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| 89 | Parameters.Add(new LookupParameter<ResultCollection>(ResultsParameterName, "The results collection where the analysis values should be stored."));
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| 90 | Parameters.Add(new LookupParameter<IntValue>(GenerationsParameterName, "Nr of generations."));
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| 91 |
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| 92 | Parameters.Add(new ScopeTreeLookupParameter<Permutation>("Parents", "The parent permutations which have been crossed."));
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| 93 | ParentsParameter.ActualName = "TSPTour";
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| 94 |
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| 95 | Parameters.Add(new LookupParameter<Permutation>("Child", "The child permutation resulting from the crossover."));
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| 96 | ChildParameter.ActualName = "TSPTour";
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| 97 |
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| 98 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("ParentsQuality", "The quality of the parent solutions."));
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| 99 | ParentsQualityParameter.ActualName = "TSPTourLength";
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| 100 |
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| 101 | Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The evaluated quality of the child solution."));
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| 102 | QualityParameter.ActualName = "TSPTourLength";
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[8382] | 103 |
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| 104 | Parameters.Add(new ValueParameter<SingleObjectiveSolutionSimilarityCalculator>("SimilarityCalculator"));
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[8336] | 105 | }
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| 106 |
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| 107 | public override IDeepCloneable Clone(Cloner cloner) {
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| 108 | return new CrossoverPerformanceAnalyzer(this, cloner);
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| 109 | }
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| 110 |
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| 111 | public override IOperation Apply() {
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[8382] | 112 | SimilarityCalculatorParameter.Value.QualityVariableName = "TSPTourLength";
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| 113 | SimilarityCalculatorParameter.Value.SolutionVariableName = "TSPTour";
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| 114 |
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| 115 | Point2D<double> qualityPoint, diversityPointChild, diversityPointParent;
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[8336] | 116 | var qualityParent1 = ParentsQualityParameter.ActualValue.First().Value;
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| 117 | var qualityParent2 = ParentsQualityParameter.ActualValue.Last().Value;
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[8382] | 118 | var child = ChildParameter.ActualValue;
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| 119 | var parent1 = ParentsParameter.ActualValue.First();
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| 120 | var parent2 = ParentsParameter.ActualValue.Last();
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| 121 | var parentDiversity = SimilarityCalculatorParameter.Value.CalculateSolutionSimilarity(ExecutionContext.Scope.SubScopes.First(), ExecutionContext.Scope.SubScopes.Last());
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[8336] | 122 |
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[8382] | 123 | diversityPointParent = new Point2D<double>(cnt, parentDiversity);
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[8336] | 124 | double worseQuality = qualityParent1 > qualityParent2 ? qualityParent1 : qualityParent2;
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[8382] | 125 | if (qualityParent1 > qualityParent2) {
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| 126 | diversityPointChild = new Point2D<double>(cnt, SimilarityCalculatorParameter.Value.CalculateSolutionSimilarity(ExecutionContext.Scope, ExecutionContext.Scope.SubScopes.First()));
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| 127 | } else {
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| 128 | diversityPointChild = new Point2D<double>(cnt, SimilarityCalculatorParameter.Value.CalculateSolutionSimilarity(ExecutionContext.Scope, ExecutionContext.Scope.SubScopes.Last()));
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| 129 | }
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[8336] | 130 |
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[8382] | 131 | qualityPoint = new Point2D<double>(cnt++, worseQuality - QualityParameter.ActualValue.Value);
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| 132 | if ((worseQuality - QualityParameter.ActualValue.Value) > 0) {
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| 133 | success++;
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| 134 | }
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| 135 |
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[8336] | 136 | string curGenStr = GenerationsParameter.ActualValue.Value.ToString();
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| 137 |
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| 138 | if (!Results.ContainsKey("Scatter Plot")) {
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| 139 | InitializePlot();
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[8382] | 140 | InitializeChildDiversityPlot();
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| 141 | InitializeParentDiversityPlot();
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| 142 |
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[8336] | 143 | Results.Add(new Result("Scatter Plot", plot));
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| 144 | Results.Add(new Result("Scatter Plot History", new ScatterPlotHistory()));
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[8382] | 145 |
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| 146 | Results.Add(new Result("Child Diversity Scatter Plot", childDiversityPlot));
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| 147 | Results.Add(new Result("Child Diversity Scatter Plot History", new ScatterPlotHistory()));
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| 148 |
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| 149 | Results.Add(new Result("Parent Diversity Scatter Plot", parentDiversityPlot));
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| 150 | Results.Add(new Result("Parent Diversity Scatter Plot History", new ScatterPlotHistory()));
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[8336] | 151 | cnt = 0;
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[8337] | 152 |
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| 153 | DataTable dt = new DataTable("Average Crossover Performance");
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| 154 | dtRow = new DataRow("Average Crossover Performance per Generation");
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| 155 | dt.Rows.Add(dtRow);
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| 156 | Results.Add(new Result("Average Crossover Performance", dt));
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[8382] | 157 |
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| 158 | DataTable dtSuccess = new DataTable("Successfull Crossovers");
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| 159 | dtRowSuccess = new DataRow("Successfull Crossovers per Generation");
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| 160 | dtSuccess.Rows.Add(dtRowSuccess);
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| 161 | Results.Add(new Result("Successfull Crossovers", dtSuccess));
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| 162 |
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| 163 | success = 0;
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[8336] | 164 | }
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| 165 |
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| 166 | if (!plot.Rows.ContainsKey(curGenStr)) {
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| 167 | if (GenerationsParameter.ActualValue.Value != 0) {
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[8337] | 168 | double avg = plot.Rows[(GenerationsParameter.ActualValue.Value - 1).ToString()].Points.Average(x => x.Y);
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| 169 | dtRow.Values.Add(avg);
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[8382] | 170 | dtRowSuccess.Values.Add(success);
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[8337] | 171 |
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[8336] | 172 | ((ScatterPlotHistory)Results["Scatter Plot History"].Value).Add(plot);
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[8382] | 173 | ((ScatterPlotHistory)Results["Child Diversity Scatter Plot History"].Value).Add(childDiversityPlot);
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| 174 | ((ScatterPlotHistory)Results["Parent Diversity Scatter Plot History"].Value).Add(parentDiversityPlot);
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[8336] | 175 | InitializePlot();
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[8382] | 176 | InitializeChildDiversityPlot();
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| 177 | InitializeParentDiversityPlot();
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[8336] | 178 | Results["Scatter Plot"].Value = plot;
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[8382] | 179 | Results["Child Diversity Scatter Plot"].Value = childDiversityPlot;
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| 180 | Results["Parent Diversity Scatter Plot"].Value = parentDiversityPlot;
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[8336] | 181 | cnt = 0;
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[8382] | 182 | success = 0;
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[8336] | 183 | }
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| 184 |
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| 185 | var points = new List<Point2D<double>>();
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[8382] | 186 | points.Add(qualityPoint);
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| 187 | ScatterPlotDataRow row;
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[8336] | 188 | row = new ScatterPlotDataRow(curGenStr, null, points);
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| 189 | row.VisualProperties.PointStyle = ScatterPlotDataRowVisualProperties.ScatterPlotDataRowPointStyle.Circle;
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| 190 | row.VisualProperties.PointSize = 5;
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| 191 | plot.Rows.Add(row);
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[8382] | 192 |
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| 193 | points = new List<Point2D<double>>();
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| 194 | points.Add(diversityPointChild);
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| 195 | row = new ScatterPlotDataRow(curGenStr, null, points);
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| 196 | row.VisualProperties.PointStyle = ScatterPlotDataRowVisualProperties.ScatterPlotDataRowPointStyle.Circle;
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| 197 | row.VisualProperties.PointSize = 5;
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| 198 | childDiversityPlot.Rows.Add(row);
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| 199 |
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| 200 | points = new List<Point2D<double>>();
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| 201 | points.Add(diversityPointParent);
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| 202 | row = new ScatterPlotDataRow(curGenStr, null, points);
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| 203 | row.VisualProperties.PointStyle = ScatterPlotDataRowVisualProperties.ScatterPlotDataRowPointStyle.Circle;
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| 204 | row.VisualProperties.PointSize = 5;
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| 205 | parentDiversityPlot.Rows.Add(row);
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[8336] | 206 | } else {
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[8382] | 207 | plot.Rows[curGenStr].Points.Add(qualityPoint);
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| 208 | childDiversityPlot.Rows[curGenStr].Points.Add(diversityPointChild);
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| 209 | parentDiversityPlot.Rows[curGenStr].Points.Add(diversityPointParent);
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[8336] | 210 | }
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| 211 |
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| 212 | return base.Apply();
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| 213 | }
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| 214 |
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| 215 | private void InitializePlot() {
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| 216 | plot = new ScatterPlot("Crossover Performance", null);
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| 217 | plot.VisualProperties.XAxisTitle = "Solution Index";
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| 218 | plot.VisualProperties.YAxisTitle = "Absolut Quality Difference";
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| 219 | }
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[8382] | 220 | private void InitializeChildDiversityPlot() {
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| 221 | childDiversityPlot = new ScatterPlot("Child Diversity", null);
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| 222 | childDiversityPlot.VisualProperties.XAxisTitle = "Solution Index";
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| 223 | childDiversityPlot.VisualProperties.YAxisTitle = "Diversity";
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| 224 | }
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| 225 | private void InitializeParentDiversityPlot() {
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| 226 | parentDiversityPlot = new ScatterPlot("Parent Diversity", null);
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| 227 | parentDiversityPlot.VisualProperties.XAxisTitle = "Solution Index";
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| 228 | parentDiversityPlot.VisualProperties.YAxisTitle = "Diversity";
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| 229 | }
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[8336] | 230 | }
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| 231 | }
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