1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 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 HEAL.Attic;
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23 | using HeuristicLab.Algorithms.DataAnalysis;
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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.Encodings.SymbolicExpressionTreeEncoding;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.PluginInfrastructure;
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32 | using HeuristicLab.Problems.DataAnalysis;
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33 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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34 | using HeuristicLab.Random;
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35 | using System;
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36 | using System.Collections.Generic;
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37 | using System.IO;
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38 | using System.Linq;
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39 | using CancellationToken = System.Threading.CancellationToken;
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40 | using ExecutionContext = HeuristicLab.Core.ExecutionContext;
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41 |
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42 | namespace HeuristicLab.Algorithms.EvolvmentModelsOfModels {
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43 | [Item("MOEADAlgorithmBase", "Base class for all MOEA/D algorithm variants.")]
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44 | [StorableType("A56A396B-965A-4ADE-8A2B-AE3A45F9C239")]
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45 | public abstract class EvolvmentModelsOfModelsAlgorithmBase : FixedDataAnalysisAlgorithm<ISymbolicDataAnalysisSingleObjectiveProblem> {
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46 | #region data members
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47 | [Storable]
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48 | protected IList<IEMMSolution> Solutions;
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49 | [Storable]
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50 | protected List<IEMMSolution> Population;
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51 | [Storable]
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52 | protected int EvaluatedSolutions;
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53 | [Storable]
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54 | protected ExecutionContext executionContext;
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55 | [Storable]
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56 | protected IScope globalScope;
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57 | [Storable]
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58 | protected ExecutionState previousExecutionState;
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59 | [Storable]
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60 | protected IEnumerable<ISymbolicExpressionTree> trees;
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61 |
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62 | [Storable]
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63 | protected ExecutionState currentExecutionState;
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64 | #endregion
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65 |
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66 | #region parameters
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67 | private const string SeedParameterName = "Seed";
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68 | private const string SetSeedRandomlyParameterName = "SetSeedRandomly";
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69 | private const string PopulationSizeParameterName = "PopulationSize";
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70 | private const string SelectorParameterName = "Selector";
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71 | private const string GroupSizeParameterName = "GroupSize";
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72 | private const string CrossoverProbabilityParameterName = "CrossoverProbability";
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73 | private const string CrossoverParameterName = "Crossover";
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74 | private const string MutationProbabilityParameterName = "MutationProbability";
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75 | private const string MutatorParameterName = "Mutator";
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76 | private const string MaximumEvaluatedSolutionsParameterName = "MaximumEvaluatedSolutions";
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77 | private const string RandomParameterName = "Random";
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78 | private const string AnalyzerParameterName = "Analyzer";
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79 | private const string InputFileParameterName = "InputFile";
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80 | private const string ClusterNumbersParameterName = "ClusterNumbers";
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81 | private const string ClusterNumbersShowParameterName = "ClusterNumbersShow";
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82 | private const string AlgorithmImplementationTypeParameterName = "AlgorithmImplementationType";
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83 | private const string MapParameterName = "Map";
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84 | private const string NegbourTypeParameterName = "NegbourType";
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85 | private const string NegbourNumberParameterName = "NegbourNumber";
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86 | public IValueParameter<MultiAnalyzer> AnalyzerParameter {
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87 | get { return (ValueParameter<MultiAnalyzer>)Parameters[AnalyzerParameterName]; }
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88 | }
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89 | public IFixedValueParameter<IntValue> SeedParameter {
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90 | get { return (IFixedValueParameter<IntValue>)Parameters[SeedParameterName]; }
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91 | }
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92 | public IValueParameter<IntValue> ClusterNumbersParameter {
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93 | get { return (IValueParameter<IntValue>)Parameters[ClusterNumbersParameterName]; }
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94 | }
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95 | public IValueParameter<IntValue> ClusterNumbersShowParameter {
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96 | get { return (IValueParameter<IntValue>)Parameters[ClusterNumbersShowParameterName]; }
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97 | }
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98 | public IConstrainedValueParameter<StringValue> AlgorithmImplementationTypeParameter {
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99 | get { return (IConstrainedValueParameter<StringValue>)Parameters[AlgorithmImplementationTypeParameterName]; }
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100 | }
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101 | public IConstrainedValueParameter<EMMMapBase<ISymbolicExpressionTree>> MapParameter {
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102 | get { return (IConstrainedValueParameter<EMMMapBase<ISymbolicExpressionTree>>)Parameters[MapParameterName]; }
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103 | }
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104 | public IFixedValueParameter<StringValue> NegbourTypeParameter {
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105 | get { return (IFixedValueParameter<StringValue>)Parameters[NegbourTypeParameterName]; }
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106 | }
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107 | public IFixedValueParameter<IntValue> NegbourNumberParameter {
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108 | get { return (IFixedValueParameter<IntValue>)Parameters[NegbourNumberParameterName]; }
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109 | }
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110 | public IFixedValueParameter<StringValue> InputFileParameter {
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111 | get { return (IFixedValueParameter<StringValue>)Parameters[InputFileParameterName]; }
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112 | }
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113 | public IFixedValueParameter<BoolValue> SetSeedRandomlyParameter {
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114 | get { return (IFixedValueParameter<BoolValue>)Parameters[SetSeedRandomlyParameterName]; }
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115 | }
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116 | private IValueParameter<IntValue> PopulationSizeParameter {
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117 | get { return (IValueParameter<IntValue>)Parameters[PopulationSizeParameterName]; }
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118 | }
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119 | public IValueParameter<PercentValue> CrossoverProbabilityParameter {
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120 | get { return (IValueParameter<PercentValue>)Parameters[CrossoverProbabilityParameterName]; }
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121 | }
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122 | public IValueParameter<IntValue> GroupSizeParameter {
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123 | get { return (IValueParameter<IntValue>)Parameters[GroupSizeParameterName]; }
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124 | }
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125 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
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126 | get { return (IConstrainedValueParameter<ICrossover>)Parameters[CrossoverParameterName]; }
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127 | }
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128 | public IConstrainedValueParameter<ISelector> SelectorParameter {
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129 | get { return (IConstrainedValueParameter<ISelector>)Parameters[SelectorParameterName]; }
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130 | }
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131 | public IValueParameter<PercentValue> MutationProbabilityParameter {
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132 | get { return (IValueParameter<PercentValue>)Parameters[MutationProbabilityParameterName]; }
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133 | }
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134 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
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135 | get { return (IConstrainedValueParameter<IManipulator>)Parameters[MutatorParameterName]; }
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136 | }
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137 | public IValueParameter<IntValue> MaximumEvaluatedSolutionsParameter {
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138 | get { return (IValueParameter<IntValue>)Parameters[MaximumEvaluatedSolutionsParameterName]; }
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139 | }
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140 | public IValueParameter<IRandom> RandomParameter {
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141 | get { return (IValueParameter<IRandom>)Parameters[RandomParameterName]; }
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142 | }
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143 | #endregion
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144 |
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145 | #region parameter properties
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146 | public ValueParameter<IntValue> ElitesParameter {
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147 | get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
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148 | }
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149 | public int Seed {
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150 | get { return SeedParameter.Value.Value; }
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151 | set { SeedParameter.Value.Value = value; }
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152 | }
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153 | public IntValue ClusterNumbers {
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154 | get { return ClusterNumbersParameter.Value; }
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155 | set { ClusterNumbersParameter.Value = value; }
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156 | }
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157 | public IntValue ClusterNumbersShow {
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158 | get { return ClusterNumbersShowParameter.Value; }
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159 | set { ClusterNumbersShowParameter.Value = value; }
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160 | }
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161 | public StringValue AlgorithmImplemetationType {
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162 | get { return AlgorithmImplementationTypeParameter.Value; }
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163 | set { AlgorithmImplementationTypeParameter.Value.Value = value.Value; }
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164 | }
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165 | public EMMMapBase<ISymbolicExpressionTree> Map {
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166 | get { return MapParameter.Value; }
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167 | set { MapParameter.Value = value; }
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168 | }
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169 | public StringValue NegbourType {
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170 | get { return NegbourTypeParameter.Value; }
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171 | set { NegbourTypeParameter.Value.Value = value.Value; }
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172 | }
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173 | public IntValue NegbourNumber {
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174 | get { return NegbourNumberParameter.Value; }
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175 | set { NegbourNumberParameter.Value.Value = value.Value; }
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176 | }
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177 | public StringValue InputFile {
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178 | get { return InputFileParameter.Value; }
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179 | set { InputFileParameter.Value.Value = value.Value; }
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180 | }
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181 | public bool SetSeedRandomly {
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182 | get { return SetSeedRandomlyParameter.Value.Value; }
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183 | set { SetSeedRandomlyParameter.Value.Value = value; }
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184 | }
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185 | public IntValue PopulationSize {
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186 | get { return PopulationSizeParameter.Value; }
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187 | set { PopulationSizeParameter.Value = value; }
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188 | }
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189 | public PercentValue CrossoverProbability {
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190 | get { return CrossoverProbabilityParameter.Value; }
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191 | set { CrossoverProbabilityParameter.Value = value; }
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192 | }
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193 | public IntValue GroupSize {
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194 | get { return GroupSizeParameter.Value; }
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195 | set { GroupSizeParameter.Value = value; }
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196 | }
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197 | public ICrossover Crossover {
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198 | get { return CrossoverParameter.Value; }
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199 | set { CrossoverParameter.Value = value; }
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200 | }
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201 | public ISelector Selector {
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202 | get { return SelectorParameter.Value; }
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203 | set { SelectorParameter.Value = value; }
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204 | }
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205 | public PercentValue MutationProbability {
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206 | get { return MutationProbabilityParameter.Value; }
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207 | set { MutationProbabilityParameter.Value = value; }
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208 | }
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209 | public IManipulator Mutator {
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210 | get { return MutatorParameter.Value; }
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211 | set { MutatorParameter.Value = value; }
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212 | }
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213 | public MultiAnalyzer Analyzer {
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214 | get { return AnalyzerParameter.Value; }
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215 | set { AnalyzerParameter.Value = value; }
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216 | }
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217 | public IntValue MaximumEvaluatedSolutions {
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218 | get { return MaximumEvaluatedSolutionsParameter.Value; }
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219 | set { MaximumEvaluatedSolutionsParameter.Value = value; }
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220 | }
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221 | public IntValue Elites {
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222 | get { return ElitesParameter.Value; }
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223 | }
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224 | #endregion
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225 |
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226 | #region constructors
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227 | public EvolvmentModelsOfModelsAlgorithmBase() {
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228 |
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229 | Parameters.Add(new FixedValueParameter<IntValue>(SeedParameterName, "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
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230 | Parameters.Add(new FixedValueParameter<StringValue>(InputFileParameterName, "The file with set of models that will be.", new StringValue("input.txt")));
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231 | Parameters.Add(new ConstrainedValueParameter<StringValue>(AlgorithmImplementationTypeParameterName, "The Type of possible algorith, implemetation, choose one: OnlyMap, Full, Read."));
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232 | Parameters.Add(new ConstrainedValueParameter<EMMMapBase<ISymbolicExpressionTree>>(MapParameterName, "The type of map crearion algorithm. Use one from: IslandMap, NetworkMap."));
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233 | Parameters.Add(new FixedValueParameter<IntValue>(NegbourNumberParameterName, "The parametr for FullMap type of map crearion algorithm. Use one from: 10, 20.", new IntValue(10)));
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234 | Parameters.Add(new FixedValueParameter<StringValue>(NegbourTypeParameterName, "The parametr for FullMap type of map crearion algorithm. Use one from: Percent, Number.", new StringValue("Number")));
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235 | Parameters.Add(new FixedValueParameter<BoolValue>(SetSeedRandomlyParameterName, "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
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236 | Parameters.Add(new ValueParameter<IntValue>(PopulationSizeParameterName, "The size of the population of Solutions.", new IntValue(100)));
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237 | Parameters.Add(new ConstrainedValueParameter<ISelector>(SelectorParameterName, "The operator used to sellect parents."));
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238 | Parameters.Add(new ValueParameter<PercentValue>(CrossoverProbabilityParameterName, "The probability that the crossover operator is applied.", new PercentValue(0.9)));
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239 | Parameters.Add(new ValueParameter<IntValue>(GroupSizeParameterName, "The GoupSize that the Selector operator is applied.", new IntValue(3)));
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240 | Parameters.Add(new ConstrainedValueParameter<ICrossover>(CrossoverParameterName, "The operator used to cross Solutions."));
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241 | Parameters.Add(new ValueParameter<PercentValue>(MutationProbabilityParameterName, "The probability that the mutation operator is applied on a solution.", new PercentValue(0.25)));
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242 | Parameters.Add(new ConstrainedValueParameter<IManipulator>(MutatorParameterName, "The operator used to mutate Solutions."));
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243 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze each generation.", new MultiAnalyzer()));
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244 | Parameters.Add(new ValueParameter<IntValue>(MaximumEvaluatedSolutionsParameterName, "The maximum number of evaluated Solutions (approximately).", new IntValue(100_000)));
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245 | Parameters.Add(new ValueParameter<IRandom>(RandomParameterName, new MersenneTwister()));
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246 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite Solutions which are kept in each generation.", new IntValue(1)));
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247 | Parameters.Add(new ValueParameter<IntValue>(ClusterNumbersParameterName, "The number of clusters for model Map.", new IntValue(10)));
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248 | Parameters.Add(new ValueParameter<IntValue>(ClusterNumbersShowParameterName, "The number of clusters for model Map.", new IntValue(10)));
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249 | foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
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250 | SelectorParameter.ValidValues.Add(selector);
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251 | ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
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252 | if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
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253 | ParameterizeSelectors();
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254 |
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255 | //begin hack ...
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256 | InputFile.ValueChanged += InputFile_ValueChanged;
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257 | InfixExpressionParser parser = new InfixExpressionParser();
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258 | trees = File.ReadAllLines(InputFileParameter.Value.Value).Select(parser.Parse).ToArray();
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259 | // end hack
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260 |
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261 | ProblemChanged += EvolvmentModelsOfModelsAlgorithmBase_ProblemChanged;
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262 | MapParameterUpdate();
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263 |
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264 | }
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265 |
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266 | // also hack vvvvvvvvv
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267 | private void InputFile_ValueChanged(object sender, EventArgs e) {
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268 | InfixExpressionParser parser = new InfixExpressionParser();
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269 | trees = File.ReadAllLines(InputFileParameter.Value.Value).Select(parser.Parse);
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270 | }
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271 | // remove again ^^^^^^^^^
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272 |
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273 | private void EvolvmentModelsOfModelsAlgorithmBase_ProblemChanged(object sender, EventArgs e) {
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274 | if (Problem != null) {
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275 | Problem.SymbolicExpressionTreeInterpreter = new SymbolicDataAnalysisExpressionTreeBatchInterpreter();
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276 | //Problem.SymbolicExpressionTreeGrammar = new EMMGrammar();
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277 | }
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278 | }
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279 | protected void MapParameterUpdate() {
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280 | int neghboorNumber = 10;
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281 |
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282 | switch (NegbourType.Value) {
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283 | case "Percent": neghboorNumber = Convert.ToInt32((Convert.ToDouble(ClusterNumbersParameter.Value.Value)) * (Convert.ToDouble(NegbourNumber.Value)) / 100.0); break;
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284 | case "Number": neghboorNumber = NegbourNumber.Value; break;
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285 | default: neghboorNumber = NegbourNumber.Value; break;
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286 | }
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287 | var mapTypes = new EMMMapBase<ISymbolicExpressionTree>[]
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288 | {
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289 | new EMMIslandMap(),
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290 | new EMMNetworkMap(neghboorNumber),
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291 | new EMMDisatanceMap(),
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292 | new EMMRankMap(),
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293 | new EMMSucsessMap (),
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294 | new EMMZeroMap ()
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295 | };
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296 | foreach (var t in mapTypes) {
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297 | MapParameter.ValidValues.Add(t);
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298 | }
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299 | var algorithmType = new StringValue[]
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300 | {
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301 | new StringValue("Full"),
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302 | new StringValue("Read"),
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303 | new StringValue ("OnlyMap")
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304 | };
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305 | foreach (var t in algorithmType) {
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306 | AlgorithmImplementationTypeParameter.ValidValues.Add(t);
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307 | }
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308 | }
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309 |
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310 | protected EvolvmentModelsOfModelsAlgorithmBase(EvolvmentModelsOfModelsAlgorithmBase original, Cloner cloner) : base(original, cloner) {
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311 | EvaluatedSolutions = original.EvaluatedSolutions;
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312 | previousExecutionState = original.previousExecutionState;
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313 |
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314 | if (original.Solutions != null) {
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315 | Solutions = original.Solutions.Select(cloner.Clone).ToArray();
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316 | }
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317 |
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318 | if (original.Population != null) {
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319 | Population = original.Population.Select(cloner.Clone).ToList();
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320 | }
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321 |
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322 | //if (original.offspringPopulation != null) {
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323 | // offspringPopulation = original.offspringPopulation.Select(cloner.Clone).ToList();
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324 | //}
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325 |
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326 | //if (original.jointPopulation != null) {
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327 | // jointPopulation = original.jointPopulation.Select(x => cloner.Clone(x)).ToList();
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328 | //}
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329 |
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330 | if (original.executionContext != null) {
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331 | executionContext = cloner.Clone(original.executionContext);
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332 | }
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333 |
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334 | if (original.globalScope != null) {
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335 | globalScope = cloner.Clone(original.globalScope);
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336 | }
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337 |
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338 | // hack
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339 | trees = original.trees.Select(x => cloner.Clone(x)).ToArray();
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340 | }
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341 |
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342 | [StorableConstructor]
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343 | protected EvolvmentModelsOfModelsAlgorithmBase(StorableConstructorFlag _) : base(_) { }
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344 | #endregion
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345 |
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346 |
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347 | public override void Prepare() {
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348 | base.Prepare();
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349 | }
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350 |
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351 | protected override void Initialize(CancellationToken cancellationToken) {
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352 | base.Initialize(cancellationToken);
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353 | }
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354 |
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355 | public override bool SupportsPause => true;
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356 |
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357 | // implements random number generation from https://en.wikipedia.org/wiki/Dirichlet_distribution#Random_number_generation
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358 |
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359 | public IList<IEMMSolution> GetResult(IRandom random) {
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360 | return Population;
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361 | }
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362 |
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363 | #region operator wiring and events
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364 | private void ParameterizeStochasticOperator(IOperator op) {
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365 | IStochasticOperator stochasticOp = op as IStochasticOperator;
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366 | if (stochasticOp != null) {
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367 | stochasticOp.RandomParameter.ActualName = "Random";
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368 | stochasticOp.RandomParameter.Hidden = true;
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369 | }
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370 | }
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371 | private void ParameterizeSelectors() {
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372 | foreach (ISelector selector in SelectorParameter.ValidValues) {
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373 | selector.CopySelected = new BoolValue(true);
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374 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSizeParameter.Value.Value - ElitesParameter.Value.Value));
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375 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
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376 | ParameterizeStochasticOperator(selector);
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377 | }
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378 | if (Problem != null) {
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379 | foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
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380 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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381 | selector.MaximizationParameter.Hidden = true;
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382 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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383 | selector.QualityParameter.Hidden = true;
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384 | }
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385 | }
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386 | }
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387 | protected void ExecuteOperation(ExecutionContext executionContext, CancellationToken cancellationToken, IOperation operation) {
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388 | Stack<IOperation> executionStack = new Stack<IOperation>();
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389 | executionStack.Push(operation);
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390 | while (executionStack.Count > 0) {
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391 | cancellationToken.ThrowIfCancellationRequested();
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392 | IOperation next = executionStack.Pop();
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393 | if (next is OperationCollection) {
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394 | OperationCollection coll = (OperationCollection)next;
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395 | for (int i = coll.Count - 1; i >= 0; i--)
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396 | if (coll[i] != null) executionStack.Push(coll[i]);
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397 | } else if (next is IAtomicOperation) {
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398 | IAtomicOperation op = (IAtomicOperation)next;
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399 | next = op.Operator.Execute((IExecutionContext)op, cancellationToken);
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400 | if (next != null) executionStack.Push(next);
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401 | }
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402 | }
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403 | }
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404 |
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405 | private void UpdateAnalyzers() {
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406 | Analyzer.Operators.Clear();
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407 | if (Problem != null) {
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408 | foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
|
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409 | foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
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410 | param.Depth = 1;
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411 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
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412 | }
|
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413 | }
|
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414 | }
|
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415 |
|
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416 | private void UpdateCrossovers() {
|
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417 | ICrossover oldCrossover = CrossoverParameter.Value;
|
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418 | CrossoverParameter.ValidValues.Clear();
|
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419 | ICrossover defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
|
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420 |
|
---|
421 | foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
|
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422 | CrossoverParameter.ValidValues.Add(crossover);
|
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423 |
|
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424 | if (oldCrossover != null) {
|
---|
425 | ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
|
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426 | if (crossover != null) CrossoverParameter.Value = crossover;
|
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427 | else oldCrossover = null;
|
---|
428 | }
|
---|
429 | if (oldCrossover == null && defaultCrossover != null)
|
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430 | CrossoverParameter.Value = defaultCrossover;
|
---|
431 | }
|
---|
432 |
|
---|
433 | private void UpdateMutators() {
|
---|
434 | IManipulator oldMutator = MutatorParameter.Value;
|
---|
435 | MutatorParameter.ValidValues.Clear();
|
---|
436 | IManipulator defaultMutator = Problem.Operators.OfType<IManipulator>().FirstOrDefault();
|
---|
437 |
|
---|
438 | foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
|
---|
439 | MutatorParameter.ValidValues.Add(mutator);
|
---|
440 |
|
---|
441 | if (oldMutator != null) {
|
---|
442 | IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
|
---|
443 | if (mutator != null) MutatorParameter.Value = mutator;
|
---|
444 | else oldMutator = null;
|
---|
445 | }
|
---|
446 |
|
---|
447 | if (oldMutator == null && defaultMutator != null)
|
---|
448 | MutatorParameter.Value = defaultMutator;
|
---|
449 | }
|
---|
450 | private void UpdateSelectors() {
|
---|
451 | ISelector oldSelector = SelectorParameter.Value;
|
---|
452 | SelectorParameter.ValidValues.Clear();
|
---|
453 | ISelector defaultSelector = Problem.Operators.OfType<ISelector>().FirstOrDefault();
|
---|
454 |
|
---|
455 | foreach (ISelector selector in Problem.Operators.OfType<ISelector>().OrderBy(x => x.Name))
|
---|
456 | SelectorParameter.ValidValues.Add(selector);
|
---|
457 |
|
---|
458 | if (oldSelector != null) {
|
---|
459 | ISelector selector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
|
---|
460 | if (selector != null) SelectorParameter.Value = selector;
|
---|
461 | else oldSelector = null;
|
---|
462 | }
|
---|
463 |
|
---|
464 | if (oldSelector == null && defaultSelector != null)
|
---|
465 | SelectorParameter.Value = defaultSelector;
|
---|
466 | }
|
---|
467 | protected override void OnProblemChanged() {
|
---|
468 | UpdateCrossovers();
|
---|
469 | UpdateMutators();
|
---|
470 | UpdateAnalyzers();
|
---|
471 | base.OnProblemChanged();
|
---|
472 | }
|
---|
473 |
|
---|
474 | protected override void OnExecutionStateChanged() {
|
---|
475 | previousExecutionState = currentExecutionState;
|
---|
476 | currentExecutionState = ExecutionState;
|
---|
477 | base.OnExecutionStateChanged();
|
---|
478 | }
|
---|
479 |
|
---|
480 | protected override void OnStopped() {
|
---|
481 | if (Solutions != null) {
|
---|
482 | Solutions.Clear();
|
---|
483 | }
|
---|
484 | if (Population != null) {
|
---|
485 | Population.Clear();
|
---|
486 | }
|
---|
487 | //if (offspringPopulation != null) {
|
---|
488 | // offspringPopulation.Clear();
|
---|
489 | //}
|
---|
490 | //if (jointPopulation != null) {
|
---|
491 | // jointPopulation.Clear();
|
---|
492 | //}
|
---|
493 | executionContext.Scope.SubScopes.Clear();
|
---|
494 | base.OnStopped();
|
---|
495 | }
|
---|
496 | #endregion
|
---|
497 | }
|
---|
498 | }
|
---|