1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 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 HeuristicLab.Common;
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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Operators;
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26 | using HeuristicLab.Optimization;
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27 | using HeuristicLab.Optimization.Operators;
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28 | using HeuristicLab.Parameters;
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29 | using HEAL.Attic;
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30 | using HeuristicLab.Selection;
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31 |
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32 | namespace HeuristicLab.Algorithms.OESRALPS {
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33 |
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34 | [Item("AlpsOffspringSelectionGeneticAlgorithmMainLoop", "An open ended ALPS offspring selection genetic algorithm main loop operator.")]
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35 | [StorableType("E5D9E222-34C6-4511-BA34-74A65FCCC429")]
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36 |
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37 | public sealed class AlpsOffspringSelectionGeneticAlgorithmMainLoop : AlgorithmOperator {
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38 | #region Parameter Properties
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39 | public IValueLookupParameter<IRandom> GlobalRandomParameter {
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40 | get { return (IValueLookupParameter<IRandom>)Parameters["GlobalRandom"]; }
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41 | }
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42 | public IValueLookupParameter<IRandom> LocalRandomParameter {
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43 | get { return (IValueLookupParameter<IRandom>)Parameters["LocalRandom"]; }
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44 | }
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45 |
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46 | public IValueLookupParameter<IOperator> EvaluatorParameter {
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47 | get { return (IValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
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48 | }
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49 | public IValueLookupParameter<IntValue> EvaluatedSolutionsParameter {
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50 | get { return (IValueLookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
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51 | }
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52 | public IScopeTreeLookupParameter<DoubleValue> QualityParameter {
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53 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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54 | }
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55 | public IValueLookupParameter<BoolValue> MaximizationParameter {
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56 | get { return (IValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
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57 | }
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58 |
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59 | public ILookupParameter<IOperator> AnalyzerParameter {
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60 | get { return (ILookupParameter<IOperator>)Parameters["Analyzer"]; }
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61 | }
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62 | public ILookupParameter<IOperator> LayerAnalyzerParameter {
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63 | get { return (ILookupParameter<IOperator>)Parameters["LayerAnalyzer"]; }
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64 | }
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65 |
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66 | public IValueLookupParameter<IntValue> NumberOfLayersParameter {
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67 | get { return (IValueLookupParameter<IntValue>)Parameters["NumberOfLayers"]; }
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68 | }
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69 | public IValueLookupParameter<IntValue> PopulationSizeParameter {
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70 | get { return (IValueLookupParameter<IntValue>)Parameters["PopulationSize"]; }
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71 | }
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72 | public ILookupParameter<IntValue> CurrentPopulationSizeParameter {
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73 | get { return (ILookupParameter<IntValue>)Parameters["CurrentPopulationSize"]; }
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74 | }
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75 |
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76 | public IValueLookupParameter<IOperator> SelectorParameter {
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77 | get { return (IValueLookupParameter<IOperator>)Parameters["Selector"]; }
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78 | }
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79 | public IValueLookupParameter<IOperator> CrossoverParameter {
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80 | get { return (IValueLookupParameter<IOperator>)Parameters["Crossover"]; }
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81 | }
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82 | public IValueLookupParameter<IOperator> MutatorParameter {
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83 | get { return (IValueLookupParameter<IOperator>)Parameters["Mutator"]; }
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84 | }
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85 | public IValueLookupParameter<PercentValue> MutationProbabilityParameter {
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86 | get { return (IValueLookupParameter<PercentValue>)Parameters["MutationProbability"]; }
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87 | }
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88 | public IValueLookupParameter<IntValue> ElitesParameter {
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89 | get { return (IValueLookupParameter<IntValue>)Parameters["Elites"]; }
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90 | }
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91 | public IValueLookupParameter<BoolValue> ReevaluateElitesParameter {
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92 | get { return (IValueLookupParameter<BoolValue>)Parameters["ReevaluateElites"]; }
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93 | }
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94 |
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95 | public IValueLookupParameter<DoubleValue> SuccessRatioParameter {
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96 | get { return (IValueLookupParameter<DoubleValue>)Parameters["SuccessRatio"]; }
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97 | }
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98 | public ILookupParameter<DoubleValue> ComparisonFactorParameter {
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99 | get { return (ILookupParameter<DoubleValue>)Parameters["ComparisonFactor"]; }
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100 | }
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101 | public IValueLookupParameter<DoubleValue> MaximumSelectionPressureParameter {
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102 | get { return (IValueLookupParameter<DoubleValue>)Parameters["MaximumSelectionPressure"]; }
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103 | }
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104 | public IValueLookupParameter<BoolValue> OffspringSelectionBeforeMutationParameter {
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105 | get { return (IValueLookupParameter<BoolValue>)Parameters["OffspringSelectionBeforeMutation"]; }
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106 | }
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107 | public IValueLookupParameter<BoolValue> FillPopulationWithParentsParameter {
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108 | get { return (IValueLookupParameter<BoolValue>)Parameters["FillPopulationWithParents"]; }
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109 | }
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110 |
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111 | public IScopeTreeLookupParameter<DoubleValue> AgeParameter {
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112 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Age"]; }
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113 | }
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114 | public IValueLookupParameter<IntValue> AgeGapParameter {
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115 | get { return (IValueLookupParameter<IntValue>)Parameters["AgeGap"]; }
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116 | }
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117 | public IValueLookupParameter<DoubleValue> AgeInheritanceParameter {
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118 | get { return (IValueLookupParameter<DoubleValue>)Parameters["AgeInheritance"]; }
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119 | }
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120 | public IValueLookupParameter<IntArray> AgeLimitsParameter {
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121 | get { return (IValueLookupParameter<IntArray>)Parameters["AgeLimits"]; }
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122 | }
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123 |
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124 | public IValueLookupParameter<IntValue> MatingPoolRangeParameter {
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125 | get { return (IValueLookupParameter<IntValue>)Parameters["MatingPoolRange"]; }
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126 | }
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127 | public IValueLookupParameter<BoolValue> ReduceToPopulationSizeParameter {
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128 | get { return (IValueLookupParameter<BoolValue>)Parameters["ReduceToPopulationSize"]; }
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129 | }
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130 |
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131 | public IValueLookupParameter<IOperator> TerminatorParameter {
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132 | get { return (IValueLookupParameter<IOperator>)Parameters["Terminator"]; }
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133 | }
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134 |
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135 | public IValueLookupParameter<IOperator> SlidingWindowParameter {
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136 | get { return (IValueLookupParameter<IOperator>)Parameters["SlidingWindow"]; }
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137 | }
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138 | #endregion
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139 |
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140 | [StorableConstructor]
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141 | private AlpsOffspringSelectionGeneticAlgorithmMainLoop(StorableConstructorFlag _) : base(_) { }
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142 | private AlpsOffspringSelectionGeneticAlgorithmMainLoop(AlpsOffspringSelectionGeneticAlgorithmMainLoop original, Cloner cloner)
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143 | : base(original, cloner) { }
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144 | public override IDeepCloneable Clone(Cloner cloner) {
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145 | return new AlpsOffspringSelectionGeneticAlgorithmMainLoop(this, cloner);
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146 | }
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147 | public AlpsOffspringSelectionGeneticAlgorithmMainLoop()
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148 | : base() {
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149 | Parameters.Add(new ValueLookupParameter<IRandom>("GlobalRandom", "A pseudo random number generator."));
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150 | Parameters.Add(new ValueLookupParameter<IRandom>("LocalRandom", "A pseudo random number generator."));
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151 |
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152 | Parameters.Add(new ValueLookupParameter<IOperator>("Evaluator", "The operator used to evaluate solutions. This operator is executed in parallel, if an engine is used which supports parallelization."));
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153 | Parameters.Add(new ValueLookupParameter<IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
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154 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
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155 | Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
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156 |
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157 | Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze all individuals from all layers combined."));
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158 | Parameters.Add(new ValueLookupParameter<IOperator>("LayerAnalyzer", "The operator used to analyze each layer."));
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159 |
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160 | Parameters.Add(new ValueLookupParameter<IntValue>("NumberOfLayers", "The number of layers."));
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161 | Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "The size of the population of solutions in each layer."));
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162 | Parameters.Add(new LookupParameter<IntValue>("CurrentPopulationSize", "The current size of the population."));
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163 |
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164 | Parameters.Add(new ValueLookupParameter<IOperator>("Selector", "The operator used to select solutions for reproduction."));
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165 | Parameters.Add(new ValueLookupParameter<IOperator>("Crossover", "The operator used to cross solutions."));
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166 | Parameters.Add(new ValueLookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
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167 | Parameters.Add(new ValueLookupParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
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168 | Parameters.Add(new ValueLookupParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
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169 | Parameters.Add(new ValueLookupParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)"));
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170 |
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171 | Parameters.Add(new ValueLookupParameter<DoubleValue>("SuccessRatio", "The ratio of successful to total children that should be achieved."));
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172 | Parameters.Add(new ValueLookupParameter<DoubleValue>("ComparisonFactor", "The comparison factor is used to determine whether the offspring should be compared to the better parent, the worse parent or a quality value linearly interpolated between them. It is in the range [0;1]."));
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173 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MaximumSelectionPressure", "The maximum selection pressure that terminates the algorithm."));
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174 | Parameters.Add(new ValueLookupParameter<BoolValue>("OffspringSelectionBeforeMutation", "True if the offspring selection step should be applied before mutation, false if it should be applied after mutation."));
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175 | Parameters.Add(new ValueLookupParameter<BoolValue>("FillPopulationWithParents", "True if the population should be filled with parent individual or false if worse children should be used when the maximum selection pressure is exceeded."));
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176 |
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177 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Age", "The age of individuals."));
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178 | Parameters.Add(new ValueLookupParameter<IntValue>("AgeGap", "The frequency of reseeding the lowest layer and scaling factor for the age-limits for the layers."));
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179 | Parameters.Add(new ValueLookupParameter<DoubleValue>("AgeInheritance", "A weight that determines the age of a child after crossover based on the older (1.0) and younger (0.0) parent."));
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180 | Parameters.Add(new ValueLookupParameter<IntArray>("AgeLimits", "The maximum age an individual is allowed to reach in a certain layer."));
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181 |
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182 | Parameters.Add(new ValueLookupParameter<IntValue>("MatingPoolRange", "The range of sub - populations used for creating a mating pool. (1 = current + previous sub-population)"));
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183 | Parameters.Add(new ValueLookupParameter<BoolValue>("ReduceToPopulationSize", "Reduce the CurrentPopulationSize after elder migration to PopulationSize"));
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184 |
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185 | Parameters.Add(new ValueLookupParameter<IOperator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop"));
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186 |
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187 | Parameters.Add(new ValueLookupParameter<IOperator>("SlidingWindow", "Operator which moves a sliding window over the training data."));
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188 |
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189 |
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190 | var variableCreator = new VariableCreator() { Name = "Initialize" };
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191 | var slidingWindow = new Placeholder() { Name = "Sliding Window (Placeholder)" };
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192 | var initLayerAnalyzerProcessor = new SubScopesProcessor();
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193 | var layerVariableCreator = new VariableCreator() { Name = "Initialize Layer" };
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194 | var initLayerAnalyzerPlaceholder = new Placeholder() { Name = "LayerAnalyzer (Placeholder)" };
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195 | var layerResultCollector = new ResultsCollector() { Name = "Collect layer results" };
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196 | var initAnalyzerPlaceholder = new Placeholder() { Name = "Analyzer (Placeholder)" };
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197 | var resultsCollector = new ResultsCollector();
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198 | var matingPoolCreator = new MatingPoolCreator() { Name = "Create Mating Pools" };
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199 | var matingPoolProcessor = new UniformSubScopesProcessor() { Name = "Process Mating Pools" };
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200 | var initializeLayer = new Assigner() { Name = "Reset LayerEvaluatedSolutions" };
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201 | var mainOperator = new AlpsOffspringSelectionGeneticAlgorithmMainOperator();
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202 | var generationsIcrementor = new IntCounter() { Name = "Increment Generations" };
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203 | var evaluatedSolutionsReducer = new DataReducer() { Name = "Increment EvaluatedSolutions" };
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204 | var eldersEmigrator = CreateEldersEmigrator();
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205 | var layerOpener = CreateLayerOpener();
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206 | var layerReseeder = CreateReseeder();
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207 | var layerAnalyzerProcessor = new UniformSubScopesProcessor();
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208 | var layerAnalyzerPlaceholder = new Placeholder() { Name = "LayerAnalyzer (Placeholder)" };
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209 | var analyzerPlaceholder = new Placeholder() { Name = "Analyzer (Placeholder)" };
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210 | var termination = new TerminationOperator();
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211 |
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212 | OperatorGraph.InitialOperator = variableCreator;
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213 |
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214 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0)));
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215 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("OpenLayers", new IntValue(1)));
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216 | variableCreator.Successor = initLayerAnalyzerProcessor;
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217 |
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218 | initLayerAnalyzerProcessor.Operators.Add(layerVariableCreator);
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219 | initLayerAnalyzerProcessor.Successor = initAnalyzerPlaceholder;
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220 |
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221 | layerVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Layer", new IntValue(0)));
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222 | layerVariableCreator.CollectedValues.Add(new ValueParameter<ResultCollection>("LayerResults"));
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223 | layerVariableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("SelectionPressure", new DoubleValue(0)));
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224 | layerVariableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("CurrentSuccessRatio", new DoubleValue(0)));
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225 | layerVariableCreator.Successor = initLayerAnalyzerPlaceholder;
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226 |
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227 | initLayerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
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228 | initLayerAnalyzerPlaceholder.Successor = layerResultCollector;
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229 |
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230 | layerResultCollector.ResultsParameter.ActualName = "LayerResults";
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231 | layerResultCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Selection Pressure", "Displays the rising selection pressure during a generation.", "SelectionPressure"));
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232 | layerResultCollector.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Success Ratio", "Indicates how many successful children were already found during a generation (relative to the population size).", "CurrentSuccessRatio"));
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233 | layerResultCollector.Successor = null;
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234 |
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235 | initAnalyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
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236 | initAnalyzerPlaceholder.Successor = resultsCollector;
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237 |
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238 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
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239 | resultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("LayerResults", "Result set for each Layer", "LayerResults"));
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240 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("OpenLayers"));
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241 | resultsCollector.CopyValue = new BoolValue(false);
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242 | resultsCollector.Successor = slidingWindow;
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243 |
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244 | slidingWindow.OperatorParameter.ActualName = SlidingWindowParameter.Name;
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245 | slidingWindow.Successor = matingPoolCreator;
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246 |
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247 | matingPoolCreator.MatingPoolRangeParameter.Value = null;
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248 | matingPoolCreator.MatingPoolRangeParameter.ActualName = MatingPoolRangeParameter.Name;
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249 | matingPoolCreator.Successor = matingPoolProcessor;
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250 |
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251 | matingPoolProcessor.Parallel.Value = true;
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252 | matingPoolProcessor.Operator = initializeLayer;
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253 | matingPoolProcessor.Successor = generationsIcrementor;
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254 |
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255 | initializeLayer.LeftSideParameter.ActualName = "LayerEvaluatedSolutions";
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256 | initializeLayer.RightSideParameter.Value = new IntValue(0);
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257 | initializeLayer.Successor = mainOperator;
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258 |
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259 | mainOperator.RandomParameter.ActualName = LocalRandomParameter.Name;
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260 | mainOperator.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
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261 | mainOperator.EvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";
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262 | mainOperator.QualityParameter.ActualName = QualityParameter.Name;
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263 | mainOperator.MaximizationParameter.ActualName = MaximizationParameter.Name;
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264 | mainOperator.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
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265 | mainOperator.SelectorParameter.ActualName = SelectorParameter.Name;
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266 | mainOperator.CrossoverParameter.ActualName = CrossoverParameter.Name;
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267 | mainOperator.MutatorParameter.ActualName = MutatorParameter.ActualName;
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268 | mainOperator.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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269 | mainOperator.ElitesParameter.ActualName = ElitesParameter.Name;
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270 | mainOperator.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
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271 | mainOperator.ComparisonFactorParameter.ActualName = ComparisonFactorParameter.Name;
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272 | mainOperator.SuccessRatioParameter.ActualName = SuccessRatioParameter.Name;
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273 | mainOperator.CurrentSuccessRatioParameter.ActualName = "CurrentSuccessRatio";
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274 | mainOperator.SelectionPressureParameter.ActualName = "SelectionPressure";
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275 | mainOperator.MaximumSelectionPressureParameter.ActualName = MaximumSelectionPressureParameter.Name;
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276 | mainOperator.OffspringSelectionBeforeMutationParameter.ActualName = OffspringSelectionBeforeMutationParameter.Name;
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277 | mainOperator.FillPopulationWithParentsParameter.ActualName = FillPopulationWithParentsParameter.Name;
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278 | mainOperator.AgeParameter.ActualName = AgeParameter.Name;
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279 | mainOperator.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
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280 | mainOperator.AgeIncrementParameter.Value = new DoubleValue(1.0);
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281 | mainOperator.Successor = null;
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282 |
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283 | generationsIcrementor.ValueParameter.ActualName = "Generations";
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284 | generationsIcrementor.Increment = new IntValue(1);
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285 | generationsIcrementor.Successor = evaluatedSolutionsReducer;
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286 |
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287 | evaluatedSolutionsReducer.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
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288 | evaluatedSolutionsReducer.TargetParameter.ActualName = EvaluatedSolutionsParameter.Name;
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289 | evaluatedSolutionsReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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290 | evaluatedSolutionsReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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291 | evaluatedSolutionsReducer.Successor = eldersEmigrator;
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292 |
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293 | eldersEmigrator.Successor = layerOpener;
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294 |
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295 | layerOpener.Successor = layerReseeder;
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296 |
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297 | layerReseeder.Successor = layerAnalyzerProcessor;
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298 |
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299 | layerAnalyzerProcessor.Operator = layerAnalyzerPlaceholder;
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300 | layerAnalyzerProcessor.Successor = analyzerPlaceholder;
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301 |
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302 | layerAnalyzerPlaceholder.OperatorParameter.ActualName = LayerAnalyzerParameter.Name;
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303 |
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304 | analyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
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305 | analyzerPlaceholder.Successor = termination;
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306 |
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307 | termination.TerminatorParameter.ActualName = TerminatorParameter.Name;
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308 | termination.ContinueBranch = slidingWindow;
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309 | }
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310 |
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311 | private CombinedOperator CreateEldersEmigrator() {
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312 | var eldersEmigrator = new CombinedOperator() { Name = "Emigrate Elders" };
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313 | var selectorProsessor = new UniformSubScopesProcessor();
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314 | var eldersSelector = new EldersSelector();
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315 | var shiftToRightMigrator = new UnidirectionalRingMigrator() { Name = "Shift elders to next layer" };
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316 | var mergingProsessor = new UniformSubScopesProcessor();
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317 | var mergingReducer = new MergingReducer();
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318 | var subScopesCounter = new SubScopesCounter();
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319 | var reduceToPopulationSizeBranch = new ConditionalBranch() { Name = "ReduceToPopulationSize?" };
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320 | var countCalculator = new ExpressionCalculator() { Name = "CurrentPopulationSize = Min(CurrentPopulationSize, PopulationSize)" };
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321 | var bestSelector = new BestSelector();
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322 | var rightReducer = new RightReducer();
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323 |
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324 | eldersEmigrator.OperatorGraph.InitialOperator = selectorProsessor;
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325 |
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326 | selectorProsessor.Operator = eldersSelector;
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327 | selectorProsessor.Successor = shiftToRightMigrator;
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328 |
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329 | eldersSelector.AgeParameter.ActualName = AgeParameter.Name;
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330 | eldersSelector.AgeLimitsParameter.ActualName = AgeLimitsParameter.Name;
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331 | eldersSelector.NumberOfLayersParameter.ActualName = NumberOfLayersParameter.Name;
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332 | eldersSelector.LayerParameter.ActualName = "Layer";
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333 | eldersSelector.Successor = null;
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334 |
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335 | shiftToRightMigrator.ClockwiseMigrationParameter.Value = new BoolValue(true);
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336 | shiftToRightMigrator.Successor = mergingProsessor;
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337 |
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338 | mergingProsessor.Operator = mergingReducer;
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339 |
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340 | mergingReducer.Successor = subScopesCounter;
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341 |
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342 | subScopesCounter.ValueParameter.ActualName = CurrentPopulationSizeParameter.Name;
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343 | subScopesCounter.AccumulateParameter.Value = new BoolValue(false);
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344 | subScopesCounter.Successor = reduceToPopulationSizeBranch;
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345 |
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346 | reduceToPopulationSizeBranch.ConditionParameter.ActualName = ReduceToPopulationSizeParameter.Name;
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347 | reduceToPopulationSizeBranch.TrueBranch = countCalculator;
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348 |
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349 | countCalculator.CollectedValues.Add(new LookupParameter<IntValue>(PopulationSizeParameter.Name));
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350 | countCalculator.CollectedValues.Add(new LookupParameter<IntValue>(CurrentPopulationSizeParameter.Name));
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351 | countCalculator.ExpressionParameter.Value = new StringValue("CurrentPopulationSize PopulationSize CurrentPopulationSize PopulationSize < if toint");
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352 | countCalculator.ExpressionResultParameter.ActualName = CurrentPopulationSizeParameter.Name;
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353 | countCalculator.Successor = bestSelector;
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354 |
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355 | bestSelector.NumberOfSelectedSubScopesParameter.ActualName = CurrentPopulationSizeParameter.Name;
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356 | bestSelector.CopySelected = new BoolValue(false);
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357 | bestSelector.Successor = rightReducer;
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358 |
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359 | return eldersEmigrator;
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360 | }
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361 |
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362 | private CombinedOperator CreateLayerOpener() {
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363 | var layerOpener = new CombinedOperator() { Name = "Open new Layer if needed" };
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364 | var maxLayerReached = new Comparator() { Name = "MaxLayersReached = OpenLayers >= NumberOfLayers" };
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365 | var maxLayerReachedBranch = new ConditionalBranch() { Name = "MaxLayersReached?" };
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366 | var openNewLayerCalculator = new ExpressionCalculator() { Name = "OpenNewLayer = Generations >= AgeLimits[OpenLayers - 1]" };
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367 | var openNewLayerBranch = new ConditionalBranch() { Name = "OpenNewLayer?" };
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368 | var layerCreator = new LastLayerCloner() { Name = "Create Layer" };
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369 | var updateLayerNumber = new Assigner() { Name = "Layer = OpenLayers" };
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370 | var historyWiper = new ResultsHistoryWiper() { Name = "Clear History in Results" };
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371 | var createChildrenViaCrossover = new AlpsOffspringSelectionGeneticAlgorithmMainOperator();
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372 | var incrEvaluatedSolutionsForNewLayer = new SubScopesCounter() { Name = "Update EvaluatedSolutions" };
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373 | var incrOpenLayers = new IntCounter() { Name = "Incr. OpenLayers" };
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374 | var newLayerResultsCollector = new ResultsCollector() { Name = "Collect new Layer Results" };
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375 |
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376 | layerOpener.OperatorGraph.InitialOperator = maxLayerReached;
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377 |
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378 | maxLayerReached.LeftSideParameter.ActualName = "OpenLayers";
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379 | maxLayerReached.RightSideParameter.ActualName = NumberOfLayersParameter.Name;
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380 | maxLayerReached.ResultParameter.ActualName = "MaxLayerReached";
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381 | maxLayerReached.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
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382 | maxLayerReached.Successor = maxLayerReachedBranch;
|
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383 |
|
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384 | maxLayerReachedBranch.ConditionParameter.ActualName = "MaxLayerReached";
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385 | maxLayerReachedBranch.FalseBranch = openNewLayerCalculator;
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386 |
|
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387 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntArray>(AgeLimitsParameter.Name));
|
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388 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
|
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389 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>(NumberOfLayersParameter.Name));
|
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390 | openNewLayerCalculator.CollectedValues.Add(new LookupParameter<IntValue>("OpenLayers"));
|
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391 | openNewLayerCalculator.ExpressionResultParameter.ActualName = "OpenNewLayer";
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392 | openNewLayerCalculator.ExpressionParameter.Value = new StringValue("Generations 1 + AgeLimits OpenLayers 1 - [] >");
|
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393 | openNewLayerCalculator.Successor = openNewLayerBranch;
|
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394 |
|
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395 | openNewLayerBranch.ConditionParameter.ActualName = "OpenNewLayer";
|
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396 | openNewLayerBranch.TrueBranch = layerCreator;
|
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397 |
|
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398 | layerCreator.NewLayerOperator = updateLayerNumber;
|
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399 | layerCreator.Successor = incrOpenLayers;
|
---|
400 |
|
---|
401 | updateLayerNumber.LeftSideParameter.ActualName = "Layer";
|
---|
402 | updateLayerNumber.RightSideParameter.ActualName = "OpenLayers";
|
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403 | updateLayerNumber.Successor = historyWiper;
|
---|
404 |
|
---|
405 | historyWiper.ResultsParameter.ActualName = "LayerResults";
|
---|
406 | historyWiper.Successor = createChildrenViaCrossover;
|
---|
407 |
|
---|
408 | // Maybe use only crossover and no elitism instead of "default operator"
|
---|
409 | createChildrenViaCrossover.RandomParameter.ActualName = LocalRandomParameter.Name;
|
---|
410 | createChildrenViaCrossover.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
|
---|
411 | createChildrenViaCrossover.EvaluatedSolutionsParameter.ActualName = "LayerEvaluatedSolutions";
|
---|
412 | createChildrenViaCrossover.QualityParameter.ActualName = QualityParameter.Name;
|
---|
413 | createChildrenViaCrossover.MaximizationParameter.ActualName = MaximizationParameter.Name;
|
---|
414 | createChildrenViaCrossover.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
|
---|
415 | createChildrenViaCrossover.SelectorParameter.ActualName = SelectorParameter.Name;
|
---|
416 | createChildrenViaCrossover.CrossoverParameter.ActualName = CrossoverParameter.Name;
|
---|
417 | createChildrenViaCrossover.MutatorParameter.ActualName = MutatorParameter.ActualName;
|
---|
418 | createChildrenViaCrossover.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
|
---|
419 | createChildrenViaCrossover.ElitesParameter.ActualName = ElitesParameter.Name;
|
---|
420 | createChildrenViaCrossover.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
|
---|
421 | createChildrenViaCrossover.ComparisonFactorParameter.ActualName = ComparisonFactorParameter.Name;
|
---|
422 | createChildrenViaCrossover.SuccessRatioParameter.ActualName = SuccessRatioParameter.Name;
|
---|
423 | createChildrenViaCrossover.CurrentSuccessRatioParameter.ActualName = "CurrentSuccessRatio";
|
---|
424 | createChildrenViaCrossover.SelectionPressureParameter.ActualName = "SelectionPressure";
|
---|
425 | createChildrenViaCrossover.MaximumSelectionPressureParameter.ActualName = MaximumSelectionPressureParameter.Name;
|
---|
426 | createChildrenViaCrossover.OffspringSelectionBeforeMutationParameter.ActualName = OffspringSelectionBeforeMutationParameter.Name;
|
---|
427 | createChildrenViaCrossover.FillPopulationWithParentsParameter.ActualName = FillPopulationWithParentsParameter.Name;
|
---|
428 | createChildrenViaCrossover.AgeParameter.ActualName = AgeParameter.Name;
|
---|
429 | createChildrenViaCrossover.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
|
---|
430 | createChildrenViaCrossover.AgeIncrementParameter.Value = new DoubleValue(0.0);
|
---|
431 | createChildrenViaCrossover.Successor = incrEvaluatedSolutionsForNewLayer;
|
---|
432 |
|
---|
433 | incrEvaluatedSolutionsForNewLayer.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
|
---|
434 | incrEvaluatedSolutionsForNewLayer.AccumulateParameter.Value = new BoolValue(true);
|
---|
435 |
|
---|
436 | incrOpenLayers.ValueParameter.ActualName = "OpenLayers";
|
---|
437 | incrOpenLayers.Increment = new IntValue(1);
|
---|
438 | incrOpenLayers.Successor = newLayerResultsCollector;
|
---|
439 |
|
---|
440 | newLayerResultsCollector.CollectedValues.Add(new ScopeTreeLookupParameter<ResultCollection>("LayerResults", "Result set for each layer", "LayerResults"));
|
---|
441 | newLayerResultsCollector.CopyValue = new BoolValue(false);
|
---|
442 | newLayerResultsCollector.Successor = null;
|
---|
443 |
|
---|
444 | return layerOpener;
|
---|
445 | }
|
---|
446 |
|
---|
447 | private CombinedOperator CreateReseeder() {
|
---|
448 | var reseeder = new CombinedOperator() { Name = "Reseed Layer Zero if needed" };
|
---|
449 | var reseedingController = new ReseedingController() { Name = "Reseeding needed (Generation % AgeGap == 0)?" };
|
---|
450 | var removeIndividuals = new SubScopesRemover();
|
---|
451 | var createIndividuals = new SolutionsCreator();
|
---|
452 | var initializeAgeProsessor = new UniformSubScopesProcessor();
|
---|
453 | var initializeAge = new VariableCreator() { Name = "Initialize Age" };
|
---|
454 | var incrEvaluatedSolutionsAfterReseeding = new SubScopesCounter() { Name = "Update EvaluatedSolutions" };
|
---|
455 |
|
---|
456 | reseeder.OperatorGraph.InitialOperator = reseedingController;
|
---|
457 |
|
---|
458 | reseedingController.GenerationsParameter.ActualName = "Generations";
|
---|
459 | reseedingController.AgeGapParameter.ActualName = AgeGapParameter.Name;
|
---|
460 | reseedingController.FirstLayerOperator = removeIndividuals;
|
---|
461 | reseedingController.Successor = null;
|
---|
462 |
|
---|
463 | removeIndividuals.Successor = createIndividuals;
|
---|
464 |
|
---|
465 | createIndividuals.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
|
---|
466 | createIndividuals.Successor = initializeAgeProsessor;
|
---|
467 |
|
---|
468 | initializeAgeProsessor.Operator = initializeAge;
|
---|
469 | initializeAgeProsessor.Successor = incrEvaluatedSolutionsAfterReseeding;
|
---|
470 |
|
---|
471 | initializeAge.CollectedValues.Add(new ValueParameter<DoubleValue>(AgeParameter.Name, new DoubleValue(0)));
|
---|
472 |
|
---|
473 | incrEvaluatedSolutionsAfterReseeding.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
|
---|
474 | incrEvaluatedSolutionsAfterReseeding.AccumulateParameter.Value = new BoolValue(true);
|
---|
475 |
|
---|
476 | return reseeder;
|
---|
477 | }
|
---|
478 | }
|
---|
479 | } |
---|