1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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.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.SymbolicExpressionTreeEncoding;
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29 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Analyzers;
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30 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Creators;
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31 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Interfaces;
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32 | using HeuristicLab.Optimization;
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33 | using HeuristicLab.Parameters;
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34 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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35 | using HeuristicLab.PluginInfrastructure;
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36 | using HeuristicLab.Encodings.BinaryVectorEncoding;
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37 |
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38 | namespace HeuristicLab.Problems.DataAnalysis.FeatureSelection {
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39 | [Item("Feature Selection Problem", "Represents a feature selection problem.")]
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40 | [Creatable("Problems")]
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41 | [StorableClass]
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42 | public class FeatureSelectionProblem : DataAnalysisProblem, IMultiObjectiveProblem {
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43 |
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44 | #region Parameter Properties
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45 | public ValueParameter<BoolArray> MaximizationParameter {
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46 | get { return (ValueParameter<BoolArray>)Parameters["Maximization"]; }
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47 | }
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48 | IParameter IMultiObjectiveProblem.MaximizationParameter {
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49 | get { return MaximizationParameter; }
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50 | }
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51 | public new ValueParameter<IBinaryVectorCreator> SolutionCreatorParameter {
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52 | get { return (ValueParameter<IBinaryVectorCreator>)Parameters["SolutionCreator"]; }
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53 | }
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54 | IParameter IProblem.SolutionCreatorParameter {
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55 | get { return SolutionCreatorParameter; }
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56 | }
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57 | public new ValueParameter<IFeatureSelectionEvaluator> EvaluatorParameter {
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58 | get { return (ValueParameter<IFeatureSelectionEvaluator>)Parameters["Evaluator"]; }
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59 | }
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60 | IParameter IProblem.EvaluatorParameter {
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61 | get { return EvaluatorParameter; }
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62 | }
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63 | #endregion
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64 |
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65 | #region Properties
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66 | public new IBinaryVectorCreator SolutionCreator {
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67 | get { return SolutionCreatorParameter.Value; }
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68 | set { SolutionCreatorParameter.Value = value; }
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69 | }
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70 | ISolutionCreator IProblem.SolutionCreator {
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71 | get { return SolutionCreatorParameter.Value; }
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72 | }
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73 | public new IFeatureSelectionEvaluator Evaluator {
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74 | get { return EvaluatorParameter.Value; }
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75 | set { EvaluatorParameter.Value = value; }
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76 | }
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77 | IMultiObjectiveEvaluator IMultiObjectiveProblem.Evaluator {
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78 | get { return EvaluatorParameter.Value; }
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79 | }
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80 | IEvaluator IProblem.Evaluator {
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81 | get { return EvaluatorParameter.Value; }
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82 | }
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83 | public override IEnumerable<IOperator> Operators {
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84 | get { return operators; }
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85 | }
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86 | #endregion
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87 |
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88 | [Storable]
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89 | private List<IOperator> operators;
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90 |
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91 | [StorableConstructor]
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92 | protected FeatureSelectionProblem(bool deserializing) : base(deserializing) { }
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93 | protected FeatureSelectionProblem(FeatureSelectionProblem original, Cloner cloner)
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94 | : base(original, cloner) {
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95 | operators = original.operators.Select(x => (IOperator)cloner.Clone(x)).ToList();
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96 | RegisterParameterEvents();
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97 | RegisterParameterValueEvents();
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98 | }
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99 | public FeatureSelectionProblem()
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100 | : base() {
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101 | BinaryVectorCreator creator = new RandomBinaryVectorCreator();
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102 | var evaluator = new LinearRegressionFeatureSelectionEvaluator();
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103 | Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Both objectives should be minimized.", new BoolArray(new bool[] {false, false})));
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104 | Parameters.Add(new ValueParameter<IBinaryVectorCreator>("SolutionCreator", "The operator which should be used to create new solutions.", creator));
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105 | Parameters.Add(new ValueParameter<IFeatureSelectionEvaluator>("Evaluator", "The evaluator that should be used for the feature selection problem.", evaluator));
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106 |
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107 | creator.BinaryVectorParameter.ActualName = "FeatureArray";
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108 | evaluator.QualitiesParameter.ActualName = "SizeAndCVMeanSquaredError";
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109 |
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110 | ParameterizeSolutionCreator();
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111 | ParameterizeEvaluator();
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112 |
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113 | InitializeOperators();
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114 | RegisterParameterEvents();
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115 | RegisterParameterValueEvents();
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116 | }
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117 |
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118 | [StorableHook(HookType.AfterDeserialization)]
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119 | private void AfterDeserialization() {
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120 | // BackwardsCompatibility3.3
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121 | #region Backwards compatible code (remove with 3.4)
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122 | if (operators == null) InitializeOperators();
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123 | #endregion
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124 | RegisterParameterEvents();
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125 | RegisterParameterValueEvents();
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126 | }
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127 |
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128 | public override IDeepCloneable Clone(Cloner cloner) {
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129 | return new FeatureSelectionProblem(this, cloner);
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130 | }
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131 |
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132 | private void RegisterParameterValueEvents() {
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133 | SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
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134 | EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
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135 | }
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136 |
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137 | private void RegisterParameterEvents() {
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138 | SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged);
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139 | }
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140 |
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141 | #region event handling
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142 | protected override void OnDataAnalysisProblemChanged(EventArgs e) {
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143 | base.OnDataAnalysisProblemChanged(e);
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144 | ParameterizeSolutionCreator();
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145 | }
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146 | protected virtual void OnOperatorsChanged(EventArgs e) { RaiseOperatorsChanged(e); }
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147 | protected virtual void OnSolutionCreatorChanged(EventArgs e) {
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148 | SolutionCreator.BinaryVectorParameter.ActualNameChanged += new EventHandler(SolutionCreator_BinaryVectorParameter_ActualNameChanged);
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149 | ParameterizeSolutionCreator();
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150 | OnSolutionParameterNameChanged(e);
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151 | RaiseSolutionCreatorChanged(e);
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152 | }
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153 |
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154 | protected virtual void OnSolutionParameterNameChanged(EventArgs e) {
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155 | ParameterizeEvaluator();
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156 | ParameterizeOperators();
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157 | }
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158 |
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159 | protected virtual void OnEvaluatorChanged(EventArgs e) {
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160 | ParameterizeEvaluator();
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161 | RaiseEvaluatorChanged(e);
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162 | }
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163 | #endregion
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164 |
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165 | #region event handlers
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166 | private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
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167 | OnSolutionCreatorChanged(e);
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168 | }
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169 | private void SolutionCreator_BinaryVectorParameter_ActualNameChanged(object sender, EventArgs e) {
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170 | OnSolutionParameterNameChanged(e);
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171 | }
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172 | private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
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173 | OnEvaluatorChanged(e);
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174 | }
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175 | #endregion
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176 |
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177 | #region Helpers
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178 | private void InitializeOperators() {
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179 | operators = new List<IOperator>();
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180 | operators.AddRange(ApplicationManager.Manager.GetInstances<IBinaryVectorOperator>().OfType<IOperator>());
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181 | ParameterizeOperators();
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182 | }
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183 |
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184 | private void ParameterizeSolutionCreator() {
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185 | SolutionCreator.LengthParameter.Value = new IntValue(DataAnalysisProblemData.InputVariables.CheckedItems.Count());
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186 | }
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187 |
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188 | private void ParameterizeEvaluator() {
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189 | Evaluator.SolutionParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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190 | }
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191 |
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192 | private void ParameterizeOperators() {
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193 | foreach (IBinaryVectorCrossover op in Operators.OfType<IBinaryVectorCrossover>()) {
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194 | op.ParentsParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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195 | op.ChildParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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196 | }
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197 | foreach (IBinaryVectorManipulator op in Operators.OfType<IBinaryVectorManipulator>()) {
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198 | op.BinaryVectorParameter.ActualName = SolutionCreator.BinaryVectorParameter.ActualName;
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199 | }
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200 | }
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201 | #endregion
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202 | }
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203 | }
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