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 | 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.Data;
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28 | using HeuristicLab.Operators;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Optimization.Operators;
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31 | using HeuristicLab.Parameters;
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32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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33 | using HeuristicLab.PluginInfrastructure;
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34 | using HeuristicLab.Random;
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35 | using HeuristicLab.Selection;
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36 |
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37 | namespace HeuristicLab.Algorithms.ScatterSearch {
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38 | /// <summary>
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39 | /// A scatter search algorithm.
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40 | /// </summary>
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41 | [Item("Scatter Search", "A scatter search algorithm.")]
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42 | [Creatable("Algorithms")]
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43 | [StorableClass]
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44 | public sealed class ScatterSearch : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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45 | public string Filename { get; set; }
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46 |
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47 | #region Problem Properties
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48 | public override Type ProblemType {
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49 | get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
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50 | }
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51 | public new ISingleObjectiveHeuristicOptimizationProblem Problem {
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52 | get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; }
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53 | set { base.Problem = value; }
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54 | }
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55 | #endregion
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56 |
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57 | #region Parameter Properties
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58 | public IValueParameter<MultiAnalyzer> AnalyzerParameter {
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59 | get { return (IValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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60 | }
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61 | public ConstrainedValueParameter<ICrossover> CrossoverParameter {
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62 | get { return (ConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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63 | }
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64 | public IValueParameter<BoolValue> ExecutePathRelinkingParameter {
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65 | get { return (IValueLookupParameter<BoolValue>)Parameters["ExecutePathRelinking"]; }
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66 | }
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67 | public ConstrainedValueParameter<IImprovementOperator> ImproverParameter {
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68 | get { return (ConstrainedValueParameter<IImprovementOperator>)Parameters["Improver"]; }
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69 | }
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70 | public IValueParameter<IntValue> MaximumIterationsParameter {
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71 | get { return (IValueParameter<IntValue>)Parameters["MaximumIterations"]; }
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72 | }
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73 | public IValueParameter<IntValue> NumberOfHighQualitySolutionsParameter {
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74 | get { return (IValueParameter<IntValue>)Parameters["NumberOfHighQualitySolutions"]; }
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75 | }
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76 | public ConstrainedValueParameter<IPathRelinker> PathRelinkerParameter {
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77 | get { return (ConstrainedValueParameter<IPathRelinker>)Parameters["PathRelinker"]; }
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78 | }
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79 | public IValueParameter<IntValue> PopulationSizeParameter {
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80 | get { return (IValueParameter<IntValue>)Parameters["PopulationSize"]; }
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81 | }
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82 | public IValueParameter<IntValue> ReferenceSetSizeParameter {
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83 | get { return (IValueParameter<IntValue>)Parameters["ReferenceSetSize"]; }
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84 | }
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85 | public IValueParameter<IntValue> SeedParameter {
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86 | get { return (IValueParameter<IntValue>)Parameters["Seed"]; }
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87 | }
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88 | public IValueParameter<BoolValue> SetSeedRandomlyParameter {
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89 | get { return (IValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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90 | }
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91 | public ConstrainedValueParameter<SimilarityCalculator> SimilarityCalculatorParameter {
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92 | get { return (ConstrainedValueParameter<SimilarityCalculator>)Parameters["SimilarityCalculator"]; }
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93 | }
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94 | #endregion
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95 |
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96 | #region Properties
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97 | private MultiAnalyzer Analyzer {
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98 | get { return AnalyzerParameter.Value; }
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99 | set { AnalyzerParameter.Value = value; }
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100 | }
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101 | private ICrossover Crossover {
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102 | get { return CrossoverParameter.Value; }
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103 | set { CrossoverParameter.Value = value; }
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104 | }
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105 | private BoolValue ExecutePathRelinking {
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106 | get { return ExecutePathRelinkingParameter.Value; }
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107 | set { ExecutePathRelinkingParameter.Value = value; }
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108 | }
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109 | private IImprovementOperator Improver {
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110 | get { return ImproverParameter.Value; }
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111 | set { ImproverParameter.Value = value; }
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112 | }
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113 | private IntValue MaximumIterations {
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114 | get { return MaximumIterationsParameter.Value; }
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115 | set { MaximumIterationsParameter.Value = value; }
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116 | }
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117 | private IntValue NumberOfHighQualitySolutions {
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118 | get { return NumberOfHighQualitySolutionsParameter.Value; }
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119 | set { NumberOfHighQualitySolutionsParameter.Value = value; }
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120 | }
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121 | private IPathRelinker PathRelinker {
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122 | get { return PathRelinkerParameter.Value; }
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123 | set { PathRelinkerParameter.Value = value; }
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124 | }
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125 | private IntValue PopulationSize {
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126 | get { return PopulationSizeParameter.Value; }
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127 | set { PopulationSizeParameter.Value = value; }
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128 | }
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129 | private IntValue ReferenceSetSize {
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130 | get { return ReferenceSetSizeParameter.Value; }
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131 | set { ReferenceSetSizeParameter.Value = value; }
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132 | }
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133 | private IntValue Seed {
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134 | get { return SeedParameter.Value; }
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135 | set { SeedParameter.Value = value; }
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136 | }
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137 | private BoolValue SetSeedRandomly {
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138 | get { return SetSeedRandomlyParameter.Value; }
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139 | set { SetSeedRandomlyParameter.Value = value; }
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140 | }
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141 | private SimilarityCalculator SimilarityCalculator {
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142 | get { return SimilarityCalculatorParameter.Value; }
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143 | set { SimilarityCalculatorParameter.Value = value; }
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144 | }
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145 | private RandomCreator RandomCreator {
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146 | get { return (RandomCreator)OperatorGraph.InitialOperator; }
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147 | }
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148 | private SolutionsCreator SolutionsCreator {
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149 | get { return (SolutionsCreator)RandomCreator.Successor; }
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150 | }
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151 | private ScatterSearchMainLoop MainLoop {
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152 | get { return FindMainLoop(SolutionsCreator.Successor); }
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153 | }
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154 |
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155 | [Storable]
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156 | private BestAverageWorstQualityAnalyzer qualityAnalyzer;
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157 | #endregion
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158 |
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159 | [StorableConstructor]
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160 | private ScatterSearch(bool deserializing) : base(deserializing) { }
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161 | [StorableHook(HookType.AfterDeserialization)]
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162 | private void AfterDeserialization() {
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163 | Initialize();
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164 | }
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165 | private ScatterSearch(ScatterSearch original, Cloner cloner)
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166 | : base(original, cloner) {
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167 | qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
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168 | Initialize();
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169 | }
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170 | public override IDeepCloneable Clone(Cloner cloner) {
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171 | return new ScatterSearch(this, cloner);
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172 | }
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173 | public ScatterSearch()
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174 | : base() {
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175 | #region Create parameters
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176 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", new MultiAnalyzer()));
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177 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover"));
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178 | Parameters.Add(new ValueParameter<BoolValue>("ExecutePathRelinking", new BoolValue(true)));
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179 | Parameters.Add(new ConstrainedValueParameter<IImprovementOperator>("Improver"));
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180 | Parameters.Add(new ValueParameter<IntValue>("MaximumIterations", new IntValue(100)));
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181 | Parameters.Add(new ValueParameter<IntValue>("NumberOfHighQualitySolutions", new IntValue(10)));
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182 | Parameters.Add(new ConstrainedValueParameter<IPathRelinker>("PathRelinker"));
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183 | Parameters.Add(new ValueParameter<IntValue>("PopulationSize", new IntValue(300)));
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184 | Parameters.Add(new ValueParameter<IntValue>("ReferenceSetSize", new IntValue(100)));
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185 | Parameters.Add(new ValueParameter<IntValue>("Seed", new IntValue(0)));
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186 | Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", new BoolValue(true)));
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187 | Parameters.Add(new ConstrainedValueParameter<SimilarityCalculator>("SimilarityCalculator"));
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188 | #endregion
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189 |
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190 | #region Create operators
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191 | RandomCreator randomCreator = new RandomCreator();
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192 | SolutionsCreator solutionsCreator = new SolutionsCreator();
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193 | UniformSubScopesProcessor uniformSubScopesProcessor = new UniformSubScopesProcessor();
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194 | Placeholder solutionEvaluator = new Placeholder();
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195 | Placeholder solutionImprover = new Placeholder();
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196 | BestSelector bestSelector = new BestSelector();
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197 | ScatterSearchMainLoop mainLoop = new ScatterSearchMainLoop();
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198 | #endregion
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199 |
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200 | #region Create operator graph
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201 | OperatorGraph.InitialOperator = randomCreator;
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202 | randomCreator.RandomParameter.ActualName = "Random";
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203 | randomCreator.SeedParameter.ActualName = SeedParameter.Name;
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204 | randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
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205 | randomCreator.Successor = solutionsCreator;
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206 |
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207 | solutionsCreator.Name = "DiversificationGenerationMethod";
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208 | solutionsCreator.NumberOfSolutionsParameter.ActualName = "PopulationSize";
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209 | solutionsCreator.Successor = uniformSubScopesProcessor;
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210 |
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211 | uniformSubScopesProcessor.Operator = solutionImprover;
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212 | uniformSubScopesProcessor.Successor = bestSelector;
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213 |
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214 | solutionImprover.Name = "SolutionImprover";
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215 | solutionImprover.OperatorParameter.ActualName = "Improver";
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216 | solutionImprover.Successor = solutionEvaluator;
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217 |
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218 | solutionEvaluator.Name = "SolutionEvaluator";
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219 | solutionEvaluator.OperatorParameter.ActualName = "Evaluator";
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220 | solutionEvaluator.Successor = null;
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221 |
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222 | bestSelector.NumberOfSelectedSubScopesParameter.ActualName = NumberOfHighQualitySolutionsParameter.Name;
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223 | bestSelector.CopySelected = new BoolValue(false);
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224 | bestSelector.Successor = mainLoop;
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225 |
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226 | mainLoop.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
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227 | mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
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228 | mainLoop.ResultsParameter.ActualName = "Results";
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229 | mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
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230 | mainLoop.IterationsParameter.ActualName = "Iterations";
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231 | mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
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232 | mainLoop.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
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233 | mainLoop.NumberOfHighQualitySolutionsParameter.ActualName = NumberOfHighQualitySolutionsParameter.Name;
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234 | mainLoop.Successor = null;
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235 | #endregion
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236 |
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237 | qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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238 | ParameterizeAnalyzers();
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239 | UpdateAnalyzers();
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240 |
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241 | Initialize();
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242 | }
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243 |
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244 | public override void Prepare() {
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245 | if (Problem != null) base.Prepare();
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246 | }
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247 |
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248 | #region Events
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249 | protected override void OnProblemChanged() {
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250 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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251 | ParameterizeStochasticOperator(Problem.Evaluator);
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252 | foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
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253 | ParameterizeAnalyzers();
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254 | ParameterizeMainLoop();
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255 | ParameterizeSolutionsCreator();
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256 | UpdateAnalyzers();
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257 | UpdateCrossovers();
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258 | UpdatePathRelinkers();
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259 | UpdateSimilarityCalculators();
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260 | UpdateImprovers();
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261 | UpdateSimilarityCalculators();
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262 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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263 | base.OnProblemChanged();
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264 | }
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265 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
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266 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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267 | ParameterizeSolutionsCreator();
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268 | base.Problem_SolutionCreatorChanged(sender, e);
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269 | }
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270 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
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271 | ParameterizeStochasticOperator(Problem.Evaluator);
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272 | ParameterizeSolutionsCreator();
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273 | ParameterizeMainLoop();
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274 | ParameterizeAnalyzers();
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275 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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276 | base.Problem_EvaluatorChanged(sender, e);
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277 | }
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278 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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279 | foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
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280 | UpdateAnalyzers();
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281 | UpdateCrossovers();
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282 | UpdatePathRelinkers();
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283 | UpdateSimilarityCalculators();
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284 | UpdateImprovers();
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285 | ParameterizeMainLoop();
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286 | ParameterizeAnalyzers();
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287 | base.Problem_OperatorsChanged(sender, e);
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288 | }
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289 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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290 | ParameterizeMainLoop();
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291 | ParameterizeAnalyzers();
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292 | }
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293 | #endregion
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294 |
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295 | #region Helpers
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296 | private void Initialize() {
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297 | if (Problem != null) {
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298 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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299 | }
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300 | }
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301 | private void UpdateAnalyzers() {
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302 | Analyzer.Operators.Clear();
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303 | if (Problem != null) {
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304 | foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
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305 | foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
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306 | param.Depth = 1;
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307 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
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308 | }
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309 | }
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310 | Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
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311 | }
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312 | private void UpdateCrossovers() {
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313 | ICrossover oldCrossover = CrossoverParameter.Value;
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314 | CrossoverParameter.ValidValues.Clear();
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315 | ICrossover defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
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316 |
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317 | foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
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318 | CrossoverParameter.ValidValues.Add(crossover);
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319 |
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320 | if (oldCrossover != null) {
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321 | ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
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322 | if (crossover != null) CrossoverParameter.Value = crossover;
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323 | else oldCrossover = null;
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324 | }
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325 | if (oldCrossover == null && defaultCrossover != null)
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326 | CrossoverParameter.Value = defaultCrossover;
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327 | }
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328 | private void UpdateImprovers() {
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329 | IImprovementOperator oldImprover = ImproverParameter.Value;
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330 | ImproverParameter.ValidValues.Clear();
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331 | IImprovementOperator defaultImprover = Problem.Operators.OfType<IImprovementOperator>().FirstOrDefault();
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332 |
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333 | foreach (IImprovementOperator improver in ApplicationManager.Manager.GetInstances<IImprovementOperator>().OrderBy(x => x.Name))
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334 | ImproverParameter.ValidValues.Add(improver);
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335 |
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336 | foreach (IImprovementOperator improver in Problem.Operators.OfType<IImprovementOperator>().OrderBy(x => x.Name))
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337 | ImproverParameter.ValidValues.Add(improver);
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338 |
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339 | if (oldImprover != null) {
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340 | IImprovementOperator improver = ImproverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldImprover.GetType());
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341 | if (improver != null) ImproverParameter.Value = improver;
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342 | else oldImprover = null;
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343 | }
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344 | if (oldImprover == null && defaultImprover != null)
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345 | ImproverParameter.Value = defaultImprover;
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346 | }
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347 | private void UpdatePathRelinkers() {
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348 | IPathRelinker oldPathRelinker = PathRelinkerParameter.Value;
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349 | PathRelinkerParameter.ValidValues.Clear();
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350 | IPathRelinker defaultPathRelinker = Problem.Operators.OfType<IPathRelinker>().FirstOrDefault();
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351 |
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352 | foreach (IPathRelinker pathRelinker in ApplicationManager.Manager.GetInstances<IPathRelinker>().OrderBy(x => x.Name))
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353 | PathRelinkerParameter.ValidValues.Add(pathRelinker);
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354 |
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355 | foreach (IPathRelinker pathRelinker in Problem.Operators.OfType<IPathRelinker>().OrderBy(x => x.Name))
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356 | PathRelinkerParameter.ValidValues.Add(pathRelinker);
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357 |
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358 | if (oldPathRelinker != null) {
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359 | IPathRelinker pathRelinker = PathRelinkerParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldPathRelinker.GetType());
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360 | if (pathRelinker != null) PathRelinkerParameter.Value = pathRelinker;
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361 | else oldPathRelinker = null;
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362 | }
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363 | if (oldPathRelinker == null && defaultPathRelinker != null)
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364 | PathRelinkerParameter.Value = defaultPathRelinker;
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365 | }
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366 | private void UpdateSimilarityCalculators() {
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367 | SimilarityCalculator oldDiversityCalculator = SimilarityCalculatorParameter.Value;
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368 | SimilarityCalculatorParameter.ValidValues.Clear();
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369 | SimilarityCalculator defaultDiversityCalculator = Problem.Operators.OfType<SimilarityCalculator>().FirstOrDefault();
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370 |
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371 | foreach (SimilarityCalculator diversityCalculator in ApplicationManager.Manager.GetInstances<SimilarityCalculator>().OrderBy(x => x.Name))
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372 | SimilarityCalculatorParameter.ValidValues.Add(diversityCalculator);
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373 |
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374 | foreach (SimilarityCalculator diversityCalculator in Problem.Operators.OfType<SimilarityCalculator>().OrderBy(x => x.Name))
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375 | SimilarityCalculatorParameter.ValidValues.Add(diversityCalculator);
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376 |
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377 | if (oldDiversityCalculator != null) {
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378 | SimilarityCalculator diversityCalculator = SimilarityCalculatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldDiversityCalculator.GetType());
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379 | if (diversityCalculator != null) SimilarityCalculatorParameter.Value = diversityCalculator;
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380 | else oldDiversityCalculator = null;
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381 | }
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382 | if (oldDiversityCalculator == null && defaultDiversityCalculator != null)
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383 | SimilarityCalculatorParameter.Value = defaultDiversityCalculator;
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384 | }
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385 | private void ParameterizeSolutionsCreator() {
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386 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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387 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
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388 | }
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389 | private void ParameterizeMainLoop() {
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390 | if (Problem != null) {
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391 | MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
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392 | MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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393 | MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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394 | }
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395 | }
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396 | private void ParameterizeStochasticOperator(IOperator op) {
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397 | if (op is IStochasticOperator) {
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398 | IStochasticOperator stOp = (IStochasticOperator)op;
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399 | stOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
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400 | stOp.RandomParameter.Hidden = true;
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401 | }
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402 | }
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403 | private void ParameterizeAnalyzers() {
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404 | qualityAnalyzer.ResultsParameter.ActualName = "Results";
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405 | qualityAnalyzer.ResultsParameter.Hidden = true;
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406 | if (Problem != null) {
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407 | qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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408 | qualityAnalyzer.MaximizationParameter.Hidden = true;
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409 | qualityAnalyzer.QualityParameter.Hidden = false;
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410 | qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
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411 | qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
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412 | } else {
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413 | qualityAnalyzer.MaximizationParameter.Hidden = false;
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414 | qualityAnalyzer.BestKnownQualityParameter.Hidden = false;
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415 | }
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416 | }
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417 | private ScatterSearchMainLoop FindMainLoop(IOperator start) {
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418 | IOperator mainLoop = start;
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419 | while (mainLoop != null && !(mainLoop is ScatterSearchMainLoop))
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420 | mainLoop = ((SingleSuccessorOperator)mainLoop).Successor;
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421 | return mainLoop as ScatterSearchMainLoop;
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422 | }
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423 | #endregion
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424 | }
|
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425 | }
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