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 System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using HEAL.Attic;
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26 | using HeuristicLab.Analysis;
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27 | using HeuristicLab.Collections;
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28 | using HeuristicLab.Common;
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29 | using HeuristicLab.Core;
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30 | using HeuristicLab.Data;
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31 | using HeuristicLab.Operators;
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32 | using HeuristicLab.Optimization;
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33 | using HeuristicLab.Optimization.Operators;
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34 | using HeuristicLab.Parameters;
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35 | using HeuristicLab.PluginInfrastructure;
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36 | using HeuristicLab.Random;
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37 | using HeuristicLab.Selection;
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38 |
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39 | namespace HeuristicLab.Algorithms.ALPS {
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40 | [Item("ALPS Genetic Algorithm", "A genetic algorithm within an age-layered population structure as described in Gregory S. Hornby. 2006. ALPS: the age-layered population structure for reducing the problem of premature convergence. In Proceedings of the 8th annual conference on Genetic and evolutionary computation (GECCO '06). 815-822.")]
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41 | [Creatable(CreatableAttribute.Categories.PopulationBasedAlgorithms, Priority = 160)]
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42 | [StorableType("4A240A90-EB87-43D1-BD34-99A605B89C4D")]
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43 | public sealed class AlpsGeneticAlgorithm : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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44 | public string Filename { get; set; }
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45 |
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46 | #region Problem Properties
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47 | public override Type ProblemType {
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48 | get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
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49 | }
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50 | public new ISingleObjectiveHeuristicOptimizationProblem Problem {
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51 | get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; }
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52 | set { base.Problem = value; }
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53 | }
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54 | #endregion
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55 |
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56 | #region Parameter Properties
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57 | private IValueParameter<IntValue> SeedParameter {
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58 | get { return (IValueParameter<IntValue>)Parameters["Seed"]; }
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59 | }
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60 | private IValueParameter<BoolValue> SetSeedRandomlyParameter {
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61 | get { return (IValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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62 | }
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63 |
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64 | private IFixedValueParameter<MultiAnalyzer> AnalyzerParameter {
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65 | get { return (IFixedValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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66 | }
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67 | private IFixedValueParameter<MultiAnalyzer> LayerAnalyzerParameter {
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68 | get { return (IFixedValueParameter<MultiAnalyzer>)Parameters["LayerAnalyzer"]; }
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69 | }
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70 |
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71 | private IValueParameter<IntValue> NumberOfLayersParameter {
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72 | get { return (IValueParameter<IntValue>)Parameters["NumberOfLayers"]; }
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73 | }
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74 | private IValueParameter<IntValue> PopulationSizeParameter {
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75 | get { return (IValueParameter<IntValue>)Parameters["PopulationSize"]; }
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76 | }
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77 |
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78 | public IConstrainedValueParameter<ISelector> SelectorParameter {
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79 | get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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80 | }
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81 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
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82 | get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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83 | }
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84 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
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85 | get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
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86 | }
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87 | private IValueParameter<PercentValue> MutationProbabilityParameter {
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88 | get { return (IValueParameter<PercentValue>)Parameters["MutationProbability"]; }
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89 | }
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90 | private IValueParameter<IntValue> ElitesParameter {
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91 | get { return (IValueParameter<IntValue>)Parameters["Elites"]; }
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92 | }
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93 | private IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
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94 | get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
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95 | }
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96 | private IValueParameter<BoolValue> PlusSelectionParameter {
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97 | get { return (IValueParameter<BoolValue>)Parameters["PlusSelection"]; }
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98 | }
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99 |
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100 | private IValueParameter<EnumValue<AgingScheme>> AgingSchemeParameter {
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101 | get { return (IValueParameter<EnumValue<AgingScheme>>)Parameters["AgingScheme"]; }
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102 | }
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103 | private IValueParameter<IntValue> AgeGapParameter {
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104 | get { return (IValueParameter<IntValue>)Parameters["AgeGap"]; }
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105 | }
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106 | private IValueParameter<DoubleValue> AgeInheritanceParameter {
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107 | get { return (IValueParameter<DoubleValue>)Parameters["AgeInheritance"]; }
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108 | }
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109 | private IValueParameter<IntArray> AgeLimitsParameter {
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110 | get { return (IValueParameter<IntArray>)Parameters["AgeLimits"]; }
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111 | }
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112 |
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113 | private IValueParameter<IntValue> MatingPoolRangeParameter {
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114 | get { return (IValueParameter<IntValue>)Parameters["MatingPoolRange"]; }
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115 | }
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116 | private IValueParameter<BoolValue> ReduceToPopulationSizeParameter {
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117 | get { return (IValueParameter<BoolValue>)Parameters["ReduceToPopulationSize"]; }
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118 | }
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119 |
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120 | private IValueParameter<MultiTerminator> TerminatorParameter {
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121 | get { return (IValueParameter<MultiTerminator>)Parameters["Terminator"]; }
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122 | }
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123 | #endregion
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124 |
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125 | #region Properties
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126 | public IntValue Seed {
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127 | get { return SeedParameter.Value; }
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128 | set { SeedParameter.Value = value; }
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129 | }
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130 | public BoolValue SetSeedRandomly {
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131 | get { return SetSeedRandomlyParameter.Value; }
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132 | set { SetSeedRandomlyParameter.Value = value; }
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133 | }
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134 |
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135 | public MultiAnalyzer Analyzer {
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136 | get { return AnalyzerParameter.Value; }
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137 | }
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138 | public MultiAnalyzer LayerAnalyzer {
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139 | get { return LayerAnalyzerParameter.Value; }
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140 | }
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141 |
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142 | public IntValue NumberOfLayers {
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143 | get { return NumberOfLayersParameter.Value; }
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144 | set { NumberOfLayersParameter.Value = value; }
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145 | }
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146 | public IntValue PopulationSize {
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147 | get { return PopulationSizeParameter.Value; }
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148 | set { PopulationSizeParameter.Value = value; }
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149 | }
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150 |
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151 | public ISelector Selector {
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152 | get { return SelectorParameter.Value; }
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153 | set { SelectorParameter.Value = value; }
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154 | }
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155 | public ICrossover Crossover {
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156 | get { return CrossoverParameter.Value; }
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157 | set { CrossoverParameter.Value = value; }
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158 | }
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159 | public IManipulator Mutator {
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160 | get { return MutatorParameter.Value; }
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161 | set { MutatorParameter.Value = value; }
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162 | }
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163 | public PercentValue MutationProbability {
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164 | get { return MutationProbabilityParameter.Value; }
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165 | set { MutationProbabilityParameter.Value = value; }
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166 | }
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167 | public IntValue Elites {
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168 | get { return ElitesParameter.Value; }
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169 | set { ElitesParameter.Value = value; }
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170 | }
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171 | public bool ReevaluteElites {
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172 | get { return ReevaluateElitesParameter.Value.Value; }
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173 | set { ReevaluateElitesParameter.Value.Value = value; }
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174 | }
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175 | public bool PlusSelection {
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176 | get { return PlusSelectionParameter.Value.Value; }
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177 | set { PlusSelectionParameter.Value.Value = value; }
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178 | }
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179 |
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180 | public EnumValue<AgingScheme> AgingScheme {
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181 | get { return AgingSchemeParameter.Value; }
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182 | set { AgingSchemeParameter.Value = value; }
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183 | }
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184 | public IntValue AgeGap {
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185 | get { return AgeGapParameter.Value; }
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186 | set { AgeGapParameter.Value = value; }
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187 | }
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188 | public DoubleValue AgeInheritance {
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189 | get { return AgeInheritanceParameter.Value; }
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190 | set { AgeInheritanceParameter.Value = value; }
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191 | }
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192 | public IntArray AgeLimits {
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193 | get { return AgeLimitsParameter.Value; }
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194 | set { AgeLimitsParameter.Value = value; }
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195 | }
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196 |
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197 | public IntValue MatingPoolRange {
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198 | get { return MatingPoolRangeParameter.Value; }
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199 | set { MatingPoolRangeParameter.Value = value; }
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200 | }
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201 |
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202 | public MultiTerminator Terminators {
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203 | get { return TerminatorParameter.Value; }
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204 | }
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205 |
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206 | public int MaximumGenerations {
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207 | get { return generationsTerminator.Threshold.Value; }
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208 | set { generationsTerminator.Threshold.Value = value; }
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209 | }
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210 | #endregion
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211 |
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212 | #region Helper Properties
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213 | private SolutionsCreator SolutionsCreator {
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214 | get { return OperatorGraph.Iterate().OfType<SolutionsCreator>().First(); }
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215 | }
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216 | private AlpsGeneticAlgorithmMainLoop MainLoop {
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217 | get { return OperatorGraph.Iterate().OfType<AlpsGeneticAlgorithmMainLoop>().First(); }
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218 | }
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219 | #endregion
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220 |
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221 | #region Preconfigured Analyzers
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222 | [Storable]
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223 | private BestAverageWorstQualityAnalyzer qualityAnalyzer;
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224 | [Storable]
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225 | private BestAverageWorstQualityAnalyzer layerQualityAnalyzer;
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226 | [Storable]
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227 | private OldestAverageYoungestAgeAnalyzer ageAnalyzer;
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228 | [Storable]
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229 | private OldestAverageYoungestAgeAnalyzer layerAgeAnalyzer;
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230 | [Storable]
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231 | private AgeDistributionAnalyzer ageDistributionAnalyzer;
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232 | [Storable]
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233 | private AgeDistributionAnalyzer layerAgeDistributionAnalyzer;
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234 | #endregion
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235 |
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236 | #region Preconfigured Terminators
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237 | [Storable]
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238 | private ComparisonTerminator<IntValue> generationsTerminator;
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239 | [Storable]
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240 | private ComparisonTerminator<IntValue> evaluationsTerminator;
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241 | [Storable]
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242 | private SingleObjectiveQualityTerminator qualityTerminator;
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243 | [Storable]
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244 | private ExecutionTimeTerminator executionTimeTerminator;
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245 | #endregion
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246 |
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247 | #region Constructors
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248 | [StorableConstructor]
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249 | private AlpsGeneticAlgorithm(StorableConstructorFlag _) : base(_) { }
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250 | [StorableHook(HookType.AfterDeserialization)]
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251 | private void AfterDeserialization() {
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252 | // BackwardsCompatibility3.3
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253 | #region Backwards compatible code, remove with 3.4
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254 | var optionalMutatorParameter = MutatorParameter as OptionalConstrainedValueParameter<IManipulator>;
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255 | if (optionalMutatorParameter != null) {
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256 | Parameters.Remove(optionalMutatorParameter);
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257 | Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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258 | foreach (var m in optionalMutatorParameter.ValidValues)
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259 | MutatorParameter.ValidValues.Add(m);
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260 | if (optionalMutatorParameter.Value == null) MutationProbability.Value = 0; // to guarantee that the old configuration results in the same behavior
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261 | else Mutator = optionalMutatorParameter.Value;
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262 | optionalMutatorParameter.ValidValues.Clear(); // to avoid dangling references to the old parameter its valid values are cleared
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263 | }
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264 | #endregion
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265 | Initialize();
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266 | }
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267 | private AlpsGeneticAlgorithm(AlpsGeneticAlgorithm original, Cloner cloner)
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268 | : base(original, cloner) {
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269 | qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
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270 | layerQualityAnalyzer = cloner.Clone(original.layerQualityAnalyzer);
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271 | ageAnalyzer = cloner.Clone(original.ageAnalyzer);
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272 | layerAgeAnalyzer = cloner.Clone(original.layerAgeAnalyzer);
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273 | ageDistributionAnalyzer = cloner.Clone(original.ageDistributionAnalyzer);
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274 | layerAgeDistributionAnalyzer = cloner.Clone(original.layerAgeDistributionAnalyzer);
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275 | generationsTerminator = cloner.Clone(original.generationsTerminator);
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276 | evaluationsTerminator = cloner.Clone(original.evaluationsTerminator);
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277 | qualityTerminator = cloner.Clone(original.qualityTerminator);
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278 | executionTimeTerminator = cloner.Clone(original.executionTimeTerminator);
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279 | Initialize();
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280 | }
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281 | public override IDeepCloneable Clone(Cloner cloner) {
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282 | return new AlpsGeneticAlgorithm(this, cloner);
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283 | }
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284 | public AlpsGeneticAlgorithm()
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285 | : base() {
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286 | #region Add parameters
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287 | Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
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288 | Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
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289 |
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290 | Parameters.Add(new FixedValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze all individuals from all layers combined.", new MultiAnalyzer()));
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291 | Parameters.Add(new FixedValueParameter<MultiAnalyzer>("LayerAnalyzer", "The operator used to analyze each layer.", new MultiAnalyzer()));
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292 |
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293 | Parameters.Add(new ValueParameter<IntValue>("NumberOfLayers", "The number of layers.", new IntValue(10)));
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294 | Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions in each layer.", new IntValue(100)));
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295 |
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296 | Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
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297 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
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298 | Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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299 | Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
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300 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
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301 | Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", new BoolValue(false)) { Hidden = true });
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302 | Parameters.Add(new ValueParameter<BoolValue>("PlusSelection", "Include the parents in the selection of the invividuals for the next generation.", new BoolValue(false)));
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303 |
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304 | Parameters.Add(new ValueParameter<EnumValue<AgingScheme>>("AgingScheme", "The aging scheme for setting the age-limits for the layers.", new EnumValue<AgingScheme>(ALPS.AgingScheme.Polynomial)));
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305 | Parameters.Add(new ValueParameter<IntValue>("AgeGap", "The frequency of reseeding the lowest layer and scaling factor for the age-limits for the layers.", new IntValue(20)));
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306 | Parameters.Add(new ValueParameter<DoubleValue>("AgeInheritance", "A weight that determines the age of a child after crossover based on the older (1.0) and younger (0.0) parent.", new DoubleValue(1.0)) { Hidden = true });
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307 | Parameters.Add(new ValueParameter<IntArray>("AgeLimits", "The maximum age an individual is allowed to reach in a certain layer.", new IntArray(new int[0])) { Hidden = true });
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308 |
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309 | Parameters.Add(new ValueParameter<IntValue>("MatingPoolRange", "The range of layers used for creating a mating pool. (1 = current + previous layer)", new IntValue(1)) { Hidden = true });
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310 | Parameters.Add(new ValueParameter<BoolValue>("ReduceToPopulationSize", "Reduce the CurrentPopulationSize after elder migration to PopulationSize", new BoolValue(true)) { Hidden = true });
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311 |
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312 | Parameters.Add(new ValueParameter<MultiTerminator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop.", new MultiTerminator()));
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313 | #endregion
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314 |
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315 | #region Create operators
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316 | var globalRandomCreator = new RandomCreator();
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317 | var layer0Creator = new SubScopesCreator() { Name = "Create Layer Zero" };
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318 | var layer0Processor = new SubScopesProcessor();
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319 | var localRandomCreator = new LocalRandomCreator();
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320 | var layerSolutionsCreator = new SolutionsCreator();
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321 | var initializeAgeProcessor = new UniformSubScopesProcessor();
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322 | var initializeAge = new VariableCreator() { Name = "Initialize Age" };
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323 | var initializeCurrentPopulationSize = new SubScopesCounter() { Name = "Initialize CurrentPopulationCounter" };
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324 | var initializeLocalEvaluatedSolutions = new Assigner() { Name = "Initialize LayerEvaluatedSolutions" };
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325 | var initializeGlobalEvaluatedSolutions = new DataReducer() { Name = "Initialize EvaluatedSolutions" };
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326 | var resultsCollector = new ResultsCollector();
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327 | var mainLoop = new AlpsGeneticAlgorithmMainLoop();
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328 | #endregion
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329 |
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330 | #region Create and parameterize operator graph
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331 | OperatorGraph.InitialOperator = globalRandomCreator;
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332 |
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333 | globalRandomCreator.RandomParameter.ActualName = "GlobalRandom";
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334 | globalRandomCreator.SeedParameter.Value = null;
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335 | globalRandomCreator.SeedParameter.ActualName = SeedParameter.Name;
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336 | globalRandomCreator.SetSeedRandomlyParameter.Value = null;
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337 | globalRandomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
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338 | globalRandomCreator.Successor = layer0Creator;
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339 |
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340 | layer0Creator.NumberOfSubScopesParameter.Value = new IntValue(1);
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341 | layer0Creator.Successor = layer0Processor;
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342 |
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343 | layer0Processor.Operators.Add(localRandomCreator);
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344 | layer0Processor.Successor = initializeGlobalEvaluatedSolutions;
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345 |
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346 | localRandomCreator.Successor = layerSolutionsCreator;
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347 |
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348 | layerSolutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
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349 | layerSolutionsCreator.Successor = initializeAgeProcessor;
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350 |
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351 | initializeAgeProcessor.Operator = initializeAge;
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352 | initializeAgeProcessor.Successor = initializeCurrentPopulationSize;
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353 |
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354 | initializeCurrentPopulationSize.ValueParameter.ActualName = "CurrentPopulationSize";
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355 | initializeCurrentPopulationSize.Successor = initializeLocalEvaluatedSolutions;
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356 |
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357 | initializeAge.CollectedValues.Add(new ValueParameter<DoubleValue>("Age", new DoubleValue(0)));
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358 | initializeAge.Successor = null;
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359 |
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360 | initializeLocalEvaluatedSolutions.LeftSideParameter.ActualName = "LayerEvaluatedSolutions";
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361 | initializeLocalEvaluatedSolutions.RightSideParameter.ActualName = "CurrentPopulationSize";
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362 | initializeLocalEvaluatedSolutions.Successor = null;
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363 |
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364 | initializeGlobalEvaluatedSolutions.ReductionOperation.Value.Value = ReductionOperations.Sum;
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365 | initializeGlobalEvaluatedSolutions.TargetOperation.Value.Value = ReductionOperations.Assign;
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366 | initializeGlobalEvaluatedSolutions.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
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367 | initializeGlobalEvaluatedSolutions.TargetParameter.ActualName = "EvaluatedSolutions";
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368 | initializeGlobalEvaluatedSolutions.Successor = resultsCollector;
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369 |
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370 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
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371 | resultsCollector.Successor = mainLoop;
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372 |
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373 | mainLoop.GlobalRandomParameter.ActualName = "GlobalRandom";
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374 | mainLoop.LocalRandomParameter.ActualName = localRandomCreator.LocalRandomParameter.Name;
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375 | mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
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376 | mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
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377 | mainLoop.LayerAnalyzerParameter.ActualName = LayerAnalyzerParameter.Name;
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378 | mainLoop.NumberOfLayersParameter.ActualName = NumberOfLayersParameter.Name;
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379 | mainLoop.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
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380 | mainLoop.CurrentPopulationSizeParameter.ActualName = "CurrentPopulationSize";
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381 | mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
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382 | mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
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383 | mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
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384 | mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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385 | mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
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386 | mainLoop.ReevaluateElitesParameter.ActualName = ReevaluateElitesParameter.Name;
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---|
387 | mainLoop.PlusSelectionParameter.ActualName = PlusSelectionParameter.Name;
|
---|
388 | mainLoop.AgeParameter.ActualName = "Age";
|
---|
389 | mainLoop.AgeGapParameter.ActualName = AgeGapParameter.Name;
|
---|
390 | mainLoop.AgeInheritanceParameter.ActualName = AgeInheritanceParameter.Name;
|
---|
391 | mainLoop.AgeLimitsParameter.ActualName = AgeLimitsParameter.Name;
|
---|
392 | mainLoop.MatingPoolRangeParameter.ActualName = MatingPoolRangeParameter.Name;
|
---|
393 | mainLoop.ReduceToPopulationSizeParameter.ActualName = ReduceToPopulationSizeParameter.Name;
|
---|
394 | mainLoop.TerminatorParameter.ActualName = TerminatorParameter.Name;
|
---|
395 | #endregion
|
---|
396 |
|
---|
397 | #region Set selectors
|
---|
398 | foreach (var selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(s => !(s is IMultiObjectiveSelector)).OrderBy(s => Name))
|
---|
399 | SelectorParameter.ValidValues.Add(selector);
|
---|
400 | var defaultSelector = SelectorParameter.ValidValues.OfType<GeneralizedRankSelector>().FirstOrDefault();
|
---|
401 | if (defaultSelector != null) {
|
---|
402 | defaultSelector.PressureParameter.Value = new DoubleValue(4.0);
|
---|
403 | SelectorParameter.Value = defaultSelector;
|
---|
404 | }
|
---|
405 | #endregion
|
---|
406 |
|
---|
407 | #region Create analyzers
|
---|
408 | qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
|
---|
409 | layerQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
|
---|
410 | ageAnalyzer = new OldestAverageYoungestAgeAnalyzer();
|
---|
411 | layerAgeAnalyzer = new OldestAverageYoungestAgeAnalyzer();
|
---|
412 | ageDistributionAnalyzer = new AgeDistributionAnalyzer();
|
---|
413 | layerAgeDistributionAnalyzer = new AgeDistributionAnalyzer();
|
---|
414 | #endregion
|
---|
415 |
|
---|
416 | #region Create terminators
|
---|
417 | generationsTerminator = new ComparisonTerminator<IntValue>("Generations", ComparisonType.Less, new IntValue(1000)) { Name = "Generations" };
|
---|
418 | evaluationsTerminator = new ComparisonTerminator<IntValue>("EvaluatedSolutions", ComparisonType.Less, new IntValue(int.MaxValue)) { Name = "Evaluations" };
|
---|
419 | qualityTerminator = new SingleObjectiveQualityTerminator() { Name = "Quality" };
|
---|
420 | executionTimeTerminator = new ExecutionTimeTerminator(this, new TimeSpanValue(TimeSpan.FromMinutes(5)));
|
---|
421 | #endregion
|
---|
422 |
|
---|
423 | #region Parameterize
|
---|
424 | UpdateAnalyzers();
|
---|
425 | ParameterizeAnalyzers();
|
---|
426 |
|
---|
427 | ParameterizeSelectors();
|
---|
428 |
|
---|
429 | UpdateTerminators();
|
---|
430 |
|
---|
431 | ParameterizeAgeLimits();
|
---|
432 | #endregion
|
---|
433 |
|
---|
434 | Initialize();
|
---|
435 | }
|
---|
436 | #endregion
|
---|
437 |
|
---|
438 | #region Events
|
---|
439 | public override void Prepare() {
|
---|
440 | if (Problem != null)
|
---|
441 | base.Prepare();
|
---|
442 | }
|
---|
443 | protected override void OnProblemChanged() {
|
---|
444 | base.OnProblemChanged();
|
---|
445 | ParameterizeStochasticOperator(Problem.SolutionCreator);
|
---|
446 | foreach (var @operator in Problem.Operators.OfType<IOperator>())
|
---|
447 | ParameterizeStochasticOperator(@operator);
|
---|
448 | ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
|
---|
449 |
|
---|
450 | ParameterizeIterationBasedOperators();
|
---|
451 |
|
---|
452 | ParameterizeSolutionsCreator();
|
---|
453 | ParameterizeMainLoop();
|
---|
454 | ParameterizeAnalyzers();
|
---|
455 | ParameterizeSelectors();
|
---|
456 | ParameterizeTerminators();
|
---|
457 |
|
---|
458 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
|
---|
459 |
|
---|
460 | UpdateAnalyzers();
|
---|
461 | UpdateCrossovers();
|
---|
462 | UpdateMutators();
|
---|
463 | UpdateTerminators();
|
---|
464 | }
|
---|
465 |
|
---|
466 | protected override void RegisterProblemEvents() {
|
---|
467 | base.RegisterProblemEvents();
|
---|
468 | var maximizationParameter = (IValueParameter<BoolValue>)Problem.MaximizationParameter;
|
---|
469 | if (maximizationParameter != null) maximizationParameter.ValueChanged += new EventHandler(MaximizationParameter_ValueChanged);
|
---|
470 | }
|
---|
471 | protected override void DeregisterProblemEvents() {
|
---|
472 | var maximizationParameter = (IValueParameter<BoolValue>)Problem.MaximizationParameter;
|
---|
473 | if (maximizationParameter != null) maximizationParameter.ValueChanged -= new EventHandler(MaximizationParameter_ValueChanged);
|
---|
474 | base.DeregisterProblemEvents();
|
---|
475 | }
|
---|
476 |
|
---|
477 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
|
---|
478 | base.Problem_SolutionCreatorChanged(sender, e);
|
---|
479 | ParameterizeStochasticOperator(Problem.SolutionCreator);
|
---|
480 |
|
---|
481 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
|
---|
482 |
|
---|
483 | ParameterizeSolutionsCreator();
|
---|
484 | ParameterizeAnalyzers();
|
---|
485 | }
|
---|
486 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
|
---|
487 | base.Problem_EvaluatorChanged(sender, e);
|
---|
488 | ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
|
---|
489 |
|
---|
490 | UpdateAnalyzers();
|
---|
491 |
|
---|
492 | ParameterizeSolutionsCreator();
|
---|
493 | ParameterizeMainLoop();
|
---|
494 | ParameterizeSelectors();
|
---|
495 | }
|
---|
496 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
|
---|
497 | base.Problem_OperatorsChanged(sender, e);
|
---|
498 | foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
|
---|
499 | ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
|
---|
500 | ParameterizeIterationBasedOperators();
|
---|
501 | UpdateCrossovers();
|
---|
502 | UpdateMutators();
|
---|
503 | UpdateTerminators();
|
---|
504 | }
|
---|
505 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
|
---|
506 | ParameterizeMainLoop();
|
---|
507 | ParameterizeAnalyzers();
|
---|
508 | ParameterizeSelectors();
|
---|
509 | }
|
---|
510 | private void MaximizationParameter_ValueChanged(object sender, EventArgs e) {
|
---|
511 | ParameterizeTerminators();
|
---|
512 | }
|
---|
513 | private void QualityAnalyzer_CurrentBestQualityParameter_NameChanged(object sender, EventArgs e) {
|
---|
514 | ParameterizeTerminators();
|
---|
515 | }
|
---|
516 |
|
---|
517 | private void AgeGapParameter_ValueChanged(object sender, EventArgs e) {
|
---|
518 | AgeGap.ValueChanged += AgeGap_ValueChanged;
|
---|
519 | ParameterizeAgeLimits();
|
---|
520 | }
|
---|
521 | private void AgeGap_ValueChanged(object sender, EventArgs e) {
|
---|
522 | ParameterizeAgeLimits();
|
---|
523 | }
|
---|
524 | private void AgingSchemeParameter_ValueChanged(object sender, EventArgs e) {
|
---|
525 | AgingScheme.ValueChanged += AgingScheme_ValueChanged;
|
---|
526 | ParameterizeAgeLimits();
|
---|
527 | }
|
---|
528 | private void AgingScheme_ValueChanged(object sender, EventArgs e) {
|
---|
529 | ParameterizeAgeLimits();
|
---|
530 | }
|
---|
531 | private void NumberOfLayersParameter_ValueChanged(object sender, EventArgs e) {
|
---|
532 | NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
|
---|
533 | ParameterizeAgeLimits();
|
---|
534 | }
|
---|
535 | private void NumberOfLayers_ValueChanged(object sender, EventArgs e) {
|
---|
536 | ParameterizeAgeLimits();
|
---|
537 | }
|
---|
538 |
|
---|
539 | private void AnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
|
---|
540 | foreach (var analyzer in e.Items) {
|
---|
541 | foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
|
---|
542 | parameter.Depth = 2;
|
---|
543 | }
|
---|
544 | }
|
---|
545 | }
|
---|
546 | private void LayerAnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
|
---|
547 | foreach (var analyzer in e.Items) {
|
---|
548 | IParameter resultParameter;
|
---|
549 | if (analyzer.Value.Parameters.TryGetValue("Results", out resultParameter)) {
|
---|
550 | var lookupParameter = resultParameter as ILookupParameter;
|
---|
551 | if (lookupParameter != null)
|
---|
552 | lookupParameter.ActualName = "LayerResults";
|
---|
553 | }
|
---|
554 | foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
|
---|
555 | parameter.Depth = 1;
|
---|
556 | }
|
---|
557 | }
|
---|
558 | }
|
---|
559 | #endregion
|
---|
560 |
|
---|
561 | #region Parameterization
|
---|
562 | private void Initialize() {
|
---|
563 | if (Problem != null)
|
---|
564 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
|
---|
565 |
|
---|
566 | NumberOfLayersParameter.ValueChanged += NumberOfLayersParameter_ValueChanged;
|
---|
567 | NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
|
---|
568 |
|
---|
569 | Analyzer.Operators.ItemsAdded += AnalyzerOperators_ItemsAdded;
|
---|
570 | LayerAnalyzer.Operators.ItemsAdded += LayerAnalyzerOperators_ItemsAdded;
|
---|
571 |
|
---|
572 | AgeGapParameter.ValueChanged += AgeGapParameter_ValueChanged;
|
---|
573 | AgeGap.ValueChanged += AgeGap_ValueChanged;
|
---|
574 | AgingSchemeParameter.ValueChanged += AgingSchemeParameter_ValueChanged;
|
---|
575 | AgingScheme.ValueChanged += AgingScheme_ValueChanged;
|
---|
576 |
|
---|
577 | qualityAnalyzer.CurrentBestQualityParameter.NameChanged += new EventHandler(QualityAnalyzer_CurrentBestQualityParameter_NameChanged);
|
---|
578 | }
|
---|
579 | private void ParameterizeSolutionsCreator() {
|
---|
580 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
|
---|
581 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
|
---|
582 | }
|
---|
583 | private void ParameterizeMainLoop() {
|
---|
584 | MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
|
---|
585 | MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
586 | MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
587 | }
|
---|
588 | private void ParameterizeAnalyzers() {
|
---|
589 | qualityAnalyzer.ResultsParameter.ActualName = "Results";
|
---|
590 | qualityAnalyzer.ResultsParameter.Hidden = true;
|
---|
591 | qualityAnalyzer.QualityParameter.Depth = 2;
|
---|
592 | layerQualityAnalyzer.ResultsParameter.ActualName = "LayerResults";
|
---|
593 | layerQualityAnalyzer.ResultsParameter.Hidden = true;
|
---|
594 | layerQualityAnalyzer.QualityParameter.Depth = 1;
|
---|
595 | if (Problem != null) {
|
---|
596 | qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
597 | qualityAnalyzer.MaximizationParameter.Hidden = true;
|
---|
598 | qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
599 | qualityAnalyzer.QualityParameter.Hidden = true;
|
---|
600 | qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
---|
601 | qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
---|
602 | layerQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
603 | layerQualityAnalyzer.MaximizationParameter.Hidden = true;
|
---|
604 | layerQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
605 | layerQualityAnalyzer.QualityParameter.Hidden = true;
|
---|
606 | layerQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
---|
607 | layerQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
---|
608 | }
|
---|
609 | }
|
---|
610 | private void ParameterizeSelectors() {
|
---|
611 | foreach (var selector in SelectorParameter.ValidValues) {
|
---|
612 | selector.CopySelected = new BoolValue(true);
|
---|
613 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
|
---|
614 | ParameterizeStochasticOperatorForLayer(selector);
|
---|
615 | }
|
---|
616 | if (Problem != null) {
|
---|
617 | foreach (var selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
|
---|
618 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
619 | selector.MaximizationParameter.Hidden = true;
|
---|
620 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
621 | selector.QualityParameter.Hidden = true;
|
---|
622 | }
|
---|
623 | }
|
---|
624 | }
|
---|
625 | private void ParameterizeTerminators() {
|
---|
626 | qualityTerminator.Parameterize(qualityAnalyzer.CurrentBestQualityParameter, Problem);
|
---|
627 | }
|
---|
628 | private void ParameterizeIterationBasedOperators() {
|
---|
629 | if (Problem != null) {
|
---|
630 | foreach (var @operator in Problem.Operators.OfType<IIterationBasedOperator>()) {
|
---|
631 | @operator.IterationsParameter.ActualName = "Generations";
|
---|
632 | @operator.IterationsParameter.Hidden = true;
|
---|
633 | @operator.MaximumIterationsParameter.ActualName = generationsTerminator.ThresholdParameter.Name;
|
---|
634 | @operator.MaximumIterationsParameter.Hidden = true;
|
---|
635 | }
|
---|
636 | }
|
---|
637 | }
|
---|
638 | private void ParameterizeAgeLimits() {
|
---|
639 | var scheme = AgingScheme.Value;
|
---|
640 | int ageGap = AgeGap.Value;
|
---|
641 | int numberOfLayers = NumberOfLayers.Value;
|
---|
642 | AgeLimits = scheme.CalculateAgeLimits(ageGap, numberOfLayers);
|
---|
643 | }
|
---|
644 |
|
---|
645 | private void ParameterizeStochasticOperator(IOperator @operator) {
|
---|
646 | var stochasticOperator = @operator as IStochasticOperator;
|
---|
647 | if (stochasticOperator != null) {
|
---|
648 | stochasticOperator.RandomParameter.ActualName = "GlobalRandom";
|
---|
649 | stochasticOperator.RandomParameter.Hidden = true;
|
---|
650 | }
|
---|
651 | }
|
---|
652 |
|
---|
653 | private void ParameterizeStochasticOperatorForLayer(IOperator @operator) {
|
---|
654 | var stochasticOperator = @operator as IStochasticOperator;
|
---|
655 | if (stochasticOperator != null) {
|
---|
656 | stochasticOperator.RandomParameter.ActualName = "LocalRandom";
|
---|
657 | stochasticOperator.RandomParameter.Hidden = true;
|
---|
658 | }
|
---|
659 | }
|
---|
660 |
|
---|
661 | #endregion
|
---|
662 |
|
---|
663 | #region Updates
|
---|
664 | private void UpdateAnalyzers() {
|
---|
665 | Analyzer.Operators.Clear();
|
---|
666 | LayerAnalyzer.Operators.Clear();
|
---|
667 |
|
---|
668 | Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
|
---|
669 | Analyzer.Operators.Add(ageAnalyzer, ageAnalyzer.EnabledByDefault);
|
---|
670 | Analyzer.Operators.Add(ageDistributionAnalyzer, ageDistributionAnalyzer.EnabledByDefault);
|
---|
671 | LayerAnalyzer.Operators.Add(layerQualityAnalyzer, false);
|
---|
672 | LayerAnalyzer.Operators.Add(layerAgeAnalyzer, false);
|
---|
673 | LayerAnalyzer.Operators.Add(layerAgeDistributionAnalyzer, false);
|
---|
674 |
|
---|
675 | if (Problem != null) {
|
---|
676 | foreach (var analyzer in Problem.Operators.OfType<IAnalyzer>()) {
|
---|
677 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
|
---|
678 | LayerAnalyzer.Operators.Add((IAnalyzer)analyzer.Clone(), false);
|
---|
679 | }
|
---|
680 | }
|
---|
681 | }
|
---|
682 | private void UpdateCrossovers() {
|
---|
683 | var oldCrossover = CrossoverParameter.Value;
|
---|
684 | var defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
|
---|
685 | CrossoverParameter.ValidValues.Clear();
|
---|
686 | foreach (var crossover in Problem.Operators.OfType<ICrossover>().OrderBy(c => c.Name)) {
|
---|
687 | ParameterizeStochasticOperatorForLayer(crossover);
|
---|
688 | CrossoverParameter.ValidValues.Add(crossover);
|
---|
689 | }
|
---|
690 | if (oldCrossover != null) {
|
---|
691 | var crossover = CrossoverParameter.ValidValues.FirstOrDefault(c => c.GetType() == oldCrossover.GetType());
|
---|
692 | if (crossover != null)
|
---|
693 | CrossoverParameter.Value = crossover;
|
---|
694 | else
|
---|
695 | oldCrossover = null;
|
---|
696 | }
|
---|
697 | if (oldCrossover == null && defaultCrossover != null)
|
---|
698 | CrossoverParameter.Value = defaultCrossover;
|
---|
699 | }
|
---|
700 | private void UpdateMutators() {
|
---|
701 | IManipulator oldMutator = MutatorParameter.Value;
|
---|
702 | MutatorParameter.ValidValues.Clear();
|
---|
703 | IManipulator defaultMutator = Problem.Operators.OfType<IManipulator>().FirstOrDefault();
|
---|
704 |
|
---|
705 | foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name)) {
|
---|
706 | ParameterizeStochasticOperatorForLayer(mutator);
|
---|
707 | MutatorParameter.ValidValues.Add(mutator);
|
---|
708 | }
|
---|
709 |
|
---|
710 | if (oldMutator != null) {
|
---|
711 | IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
|
---|
712 | if (mutator != null) MutatorParameter.Value = mutator;
|
---|
713 | else oldMutator = null;
|
---|
714 | }
|
---|
715 |
|
---|
716 | if (oldMutator == null && defaultMutator != null)
|
---|
717 | MutatorParameter.Value = defaultMutator;
|
---|
718 | }
|
---|
719 | private void UpdateTerminators() {
|
---|
720 | var newTerminators = new Dictionary<ITerminator, bool> {
|
---|
721 | {generationsTerminator, !Terminators.Operators.Contains(generationsTerminator) || Terminators.Operators.ItemChecked(generationsTerminator)},
|
---|
722 | {evaluationsTerminator, Terminators.Operators.Contains(evaluationsTerminator) && Terminators.Operators.ItemChecked(evaluationsTerminator)},
|
---|
723 | {qualityTerminator, Terminators.Operators.Contains(qualityTerminator) && Terminators.Operators.ItemChecked(qualityTerminator) },
|
---|
724 | {executionTimeTerminator, Terminators.Operators.Contains(executionTimeTerminator) && Terminators.Operators.ItemChecked(executionTimeTerminator)}
|
---|
725 | };
|
---|
726 | if (Problem != null) {
|
---|
727 | foreach (var terminator in Problem.Operators.OfType<ITerminator>())
|
---|
728 | newTerminators.Add(terminator, !Terminators.Operators.Contains(terminator) || Terminators.Operators.ItemChecked(terminator));
|
---|
729 | }
|
---|
730 |
|
---|
731 | Terminators.Operators.Clear();
|
---|
732 |
|
---|
733 | foreach (var newTerminator in newTerminators)
|
---|
734 | Terminators.Operators.Add(newTerminator.Key, newTerminator.Value);
|
---|
735 | }
|
---|
736 | #endregion
|
---|
737 | }
|
---|
738 | } |
---|