1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2013 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.Operators;
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27 | using HeuristicLab.Parameters;
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28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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29 | using HeuristicLab.Selection;
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30 |
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31 | namespace HeuristicLab.Algorithms.EvolutionStrategy {
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32 | /// <summary>
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33 | /// An operator which represents the main loop of an evolution strategy (EvolutionStrategy).
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34 | /// </summary>
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35 | [Item("EvolutionStrategyMainLoop", "An operator which represents the main loop of an evolution strategy (EvolutionStrategy).")]
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36 | [StorableClass]
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37 | public sealed class EvolutionStrategyMainLoop : AlgorithmOperator {
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38 | #region Parameter properties
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39 | public ValueLookupParameter<IRandom> RandomParameter {
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40 | get { return (ValueLookupParameter<IRandom>)Parameters["Random"]; }
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41 | }
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42 | public ValueLookupParameter<BoolValue> MaximizationParameter {
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43 | get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
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44 | }
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45 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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46 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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47 | }
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48 | public ValueLookupParameter<DoubleValue> BestKnownQualityParameter {
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49 | get { return (ValueLookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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50 | }
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51 | public ValueLookupParameter<IntValue> PopulationSizeParameter {
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52 | get { return (ValueLookupParameter<IntValue>)Parameters["PopulationSize"]; }
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53 | }
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54 | public ValueLookupParameter<IntValue> ParentsPerChildParameter {
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55 | get { return (ValueLookupParameter<IntValue>)Parameters["ParentsPerChild"]; }
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56 | }
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57 | public ValueLookupParameter<IntValue> ChildrenParameter {
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58 | get { return (ValueLookupParameter<IntValue>)Parameters["Children"]; }
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59 | }
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60 | public ValueLookupParameter<BoolValue> PlusSelectionParameter {
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61 | get { return (ValueLookupParameter<BoolValue>)Parameters["PlusSelection"]; }
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62 | }
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63 | public ValueLookupParameter<IntValue> MaximumGenerationsParameter {
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64 | get { return (ValueLookupParameter<IntValue>)Parameters["MaximumGenerations"]; }
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65 | }
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66 | public ValueLookupParameter<IOperator> MutatorParameter {
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67 | get { return (ValueLookupParameter<IOperator>)Parameters["Mutator"]; }
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68 | }
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69 | public ValueLookupParameter<IOperator> RecombinatorParameter {
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70 | get { return (ValueLookupParameter<IOperator>)Parameters["Recombinator"]; }
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71 | }
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72 | public ValueLookupParameter<IOperator> EvaluatorParameter {
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73 | get { return (ValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
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74 | }
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75 | public ValueLookupParameter<VariableCollection> ResultsParameter {
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76 | get { return (ValueLookupParameter<VariableCollection>)Parameters["Results"]; }
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77 | }
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78 | public ValueLookupParameter<IOperator> AnalyzerParameter {
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79 | get { return (ValueLookupParameter<IOperator>)Parameters["Analyzer"]; }
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80 | }
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81 | public LookupParameter<IntValue> EvaluatedSolutionsParameter {
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82 | get { return (LookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
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83 | }
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84 | private ScopeParameter CurrentScopeParameter {
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85 | get { return (ScopeParameter)Parameters["CurrentScope"]; }
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86 | }
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87 | private ValueLookupParameter<IOperator> StrategyParameterManipulatorParameter {
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88 | get { return (ValueLookupParameter<IOperator>)Parameters["StrategyParameterManipulator"]; }
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89 | }
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90 | private ValueLookupParameter<IOperator> StrategyParameterCrossoverParameter {
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91 | get { return (ValueLookupParameter<IOperator>)Parameters["StrategyParameterCrossover"]; }
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92 | }
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93 |
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94 | public IScope CurrentScope {
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95 | get { return CurrentScopeParameter.ActualValue; }
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96 | }
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97 | #endregion
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98 |
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99 | [StorableConstructor]
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100 | private EvolutionStrategyMainLoop(bool deserializing) : base(deserializing) { }
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101 | private EvolutionStrategyMainLoop(EvolutionStrategyMainLoop original, Cloner cloner)
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102 | : base(original, cloner) {
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103 | }
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104 | public override IDeepCloneable Clone(Cloner cloner) {
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105 | return new EvolutionStrategyMainLoop(this, cloner);
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106 | }
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107 | public EvolutionStrategyMainLoop()
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108 | : base() {
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109 | Initialize();
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110 | }
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111 |
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112 | private void Initialize() {
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113 | #region Create parameters
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114 | Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
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115 | Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
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116 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
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117 | Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
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118 | Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "µ (mu) - the size of the population."));
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119 | Parameters.Add(new ValueLookupParameter<IntValue>("ParentsPerChild", "ρ (rho) - how many parents should be recombined."));
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120 | Parameters.Add(new ValueLookupParameter<IntValue>("Children", "λ (lambda) - the size of the offspring population."));
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121 | Parameters.Add(new ValueLookupParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed."));
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122 | Parameters.Add(new ValueLookupParameter<BoolValue>("PlusSelection", "True for plus selection (elitist population), false for comma selection (non-elitist population)."));
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123 | Parameters.Add(new ValueLookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
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124 | Parameters.Add(new ValueLookupParameter<IOperator>("Recombinator", "The operator used to cross solutions."));
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125 | 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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126 | Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
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127 | Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze each generation."));
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128 | Parameters.Add(new LookupParameter<IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
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129 | Parameters.Add(new ScopeParameter("CurrentScope", "The current scope which represents a population of solutions on which the EvolutionStrategy should be applied."));
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130 | Parameters.Add(new ValueLookupParameter<IOperator>("StrategyParameterManipulator", "The operator to mutate the endogeneous strategy parameters."));
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131 | Parameters.Add(new ValueLookupParameter<IOperator>("StrategyParameterCrossover", "The operator to cross the endogeneous strategy parameters."));
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132 | #endregion
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133 |
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134 | #region Create operators
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135 | VariableCreator variableCreator = new VariableCreator();
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136 | ResultsCollector resultsCollector1 = new ResultsCollector();
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137 | Placeholder analyzer1 = new Placeholder();
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138 | WithoutRepeatingBatchedRandomSelector selector = new WithoutRepeatingBatchedRandomSelector();
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139 | SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
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140 | Comparator useRecombinationComparator = new Comparator();
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141 | ConditionalBranch useRecombinationBranch = new ConditionalBranch();
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142 | ChildrenCreator childrenCreator = new ChildrenCreator();
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143 | UniformSubScopesProcessor uniformSubScopesProcessor1 = new UniformSubScopesProcessor();
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144 | Placeholder recombinator = new Placeholder();
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145 | Placeholder strategyRecombinator = new Placeholder();
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146 | Placeholder strategyMutator1 = new Placeholder();
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147 | Placeholder mutator1 = new Placeholder();
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148 | SubScopesRemover subScopesRemover = new SubScopesRemover();
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149 | UniformSubScopesProcessor uniformSubScopesProcessor2 = new UniformSubScopesProcessor();
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150 | Placeholder strategyMutator2 = new Placeholder();
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151 | Placeholder mutator2 = new Placeholder();
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152 | UniformSubScopesProcessor uniformSubScopesProcessor3 = new UniformSubScopesProcessor();
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153 | Placeholder evaluator = new Placeholder();
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154 | SubScopesCounter subScopesCounter = new SubScopesCounter();
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155 | ConditionalBranch plusOrCommaReplacementBranch = new ConditionalBranch();
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156 | MergingReducer plusReplacement = new MergingReducer();
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157 | RightReducer commaReplacement = new RightReducer();
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158 | BestSelector bestSelector = new BestSelector();
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159 | RightReducer rightReducer = new RightReducer();
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160 | IntCounter intCounter = new IntCounter();
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161 | Comparator comparator = new Comparator();
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162 | Placeholder analyzer2 = new Placeholder();
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163 | ConditionalBranch conditionalBranch = new ConditionalBranch();
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164 |
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165 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0))); // Class EvolutionStrategy expects this to be called Generations
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166 |
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167 | resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
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168 | resultsCollector1.ResultsParameter.ActualName = "Results";
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169 |
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170 | analyzer1.Name = "Analyzer (placeholder)";
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171 | analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
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172 |
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173 | selector.Name = "ES Random Selector";
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174 | selector.RandomParameter.ActualName = RandomParameter.Name;
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175 | selector.ParentsPerChildParameter.ActualName = ParentsPerChildParameter.Name;
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176 | selector.ChildrenParameter.ActualName = ChildrenParameter.Name;
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177 |
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178 | useRecombinationComparator.Name = "ParentsPerChild > 1";
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179 | useRecombinationComparator.LeftSideParameter.ActualName = ParentsPerChildParameter.Name;
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180 | useRecombinationComparator.RightSideParameter.Value = new IntValue(1);
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181 | useRecombinationComparator.Comparison = new Comparison(ComparisonType.Greater);
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182 | useRecombinationComparator.ResultParameter.ActualName = "UseRecombination";
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183 |
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184 | useRecombinationBranch.Name = "Use Recombination?";
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185 | useRecombinationBranch.ConditionParameter.ActualName = "UseRecombination";
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186 |
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187 | childrenCreator.ParentsPerChild = null;
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188 | childrenCreator.ParentsPerChildParameter.ActualName = ParentsPerChildParameter.Name;
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189 |
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190 | recombinator.Name = "Recombinator (placeholder)";
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191 | recombinator.OperatorParameter.ActualName = RecombinatorParameter.Name;
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192 |
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193 | strategyRecombinator.Name = "Strategy Parameter Recombinator (placeholder)";
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194 | strategyRecombinator.OperatorParameter.ActualName = StrategyParameterCrossoverParameter.Name;
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195 |
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196 | strategyMutator1.Name = "Strategy Parameter Manipulator (placeholder)";
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197 | strategyMutator1.OperatorParameter.ActualName = StrategyParameterManipulatorParameter.Name;
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198 |
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199 | mutator1.Name = "Mutator (placeholder)";
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200 | mutator1.OperatorParameter.ActualName = MutatorParameter.Name;
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201 |
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202 | subScopesRemover.RemoveAllSubScopes = true;
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203 |
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204 | strategyMutator2.Name = "Strategy Parameter Manipulator (placeholder)";
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205 | strategyMutator2.OperatorParameter.ActualName = StrategyParameterManipulatorParameter.Name;
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206 |
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207 | mutator2.Name = "Mutator (placeholder)";
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208 | mutator2.OperatorParameter.ActualName = MutatorParameter.Name;
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209 |
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210 | uniformSubScopesProcessor3.Parallel.Value = true;
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211 |
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212 | evaluator.Name = "Evaluator (placeholder)";
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213 | evaluator.OperatorParameter.ActualName = EvaluatorParameter.Name;
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214 |
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215 | subScopesCounter.Name = "Increment EvaluatedSolutions";
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216 | subScopesCounter.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
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217 |
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218 | plusOrCommaReplacementBranch.ConditionParameter.ActualName = PlusSelectionParameter.Name;
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219 |
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220 | bestSelector.CopySelected = new BoolValue(false);
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221 | bestSelector.MaximizationParameter.ActualName = MaximizationParameter.Name;
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222 | bestSelector.NumberOfSelectedSubScopesParameter.ActualName = PopulationSizeParameter.Name;
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223 | bestSelector.QualityParameter.ActualName = QualityParameter.Name;
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224 |
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225 | intCounter.Increment = new IntValue(1);
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226 | intCounter.ValueParameter.ActualName = "Generations";
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227 |
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228 | comparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
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229 | comparator.LeftSideParameter.ActualName = "Generations";
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230 | comparator.ResultParameter.ActualName = "Terminate";
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231 | comparator.RightSideParameter.ActualName = MaximumGenerationsParameter.Name;
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232 |
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233 | analyzer2.Name = "Analyzer (placeholder)";
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234 | analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
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235 |
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236 | conditionalBranch.ConditionParameter.ActualName = "Terminate";
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237 | #endregion
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238 |
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239 | #region Create operator graph
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240 | OperatorGraph.InitialOperator = variableCreator;
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241 | variableCreator.Successor = resultsCollector1;
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242 | resultsCollector1.Successor = analyzer1;
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243 | analyzer1.Successor = selector;
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244 | selector.Successor = subScopesProcessor1;
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245 | subScopesProcessor1.Operators.Add(new EmptyOperator());
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246 | subScopesProcessor1.Operators.Add(useRecombinationComparator);
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247 | subScopesProcessor1.Successor = plusOrCommaReplacementBranch;
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248 | useRecombinationComparator.Successor = useRecombinationBranch;
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249 | useRecombinationBranch.TrueBranch = childrenCreator;
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250 | useRecombinationBranch.FalseBranch = uniformSubScopesProcessor2;
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251 | useRecombinationBranch.Successor = uniformSubScopesProcessor3;
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252 | childrenCreator.Successor = uniformSubScopesProcessor1;
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253 | uniformSubScopesProcessor1.Operator = recombinator;
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254 | uniformSubScopesProcessor1.Successor = null;
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255 | recombinator.Successor = strategyRecombinator;
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256 | strategyRecombinator.Successor = strategyMutator1;
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257 | strategyMutator1.Successor = mutator1;
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258 | mutator1.Successor = subScopesRemover;
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259 | subScopesRemover.Successor = null;
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260 | uniformSubScopesProcessor2.Operator = strategyMutator2;
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261 | uniformSubScopesProcessor2.Successor = null;
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262 | strategyMutator2.Successor = mutator2;
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263 | mutator2.Successor = null;
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264 | uniformSubScopesProcessor3.Operator = evaluator;
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265 | uniformSubScopesProcessor3.Successor = subScopesCounter;
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266 | evaluator.Successor = null;
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267 | subScopesCounter.Successor = null;
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268 | plusOrCommaReplacementBranch.TrueBranch = plusReplacement;
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269 | plusOrCommaReplacementBranch.FalseBranch = commaReplacement;
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270 | plusOrCommaReplacementBranch.Successor = bestSelector;
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271 | bestSelector.Successor = rightReducer;
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272 | rightReducer.Successor = intCounter;
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273 | intCounter.Successor = comparator;
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274 | comparator.Successor = analyzer2;
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275 | analyzer2.Successor = conditionalBranch;
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276 | conditionalBranch.FalseBranch = selector;
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277 | conditionalBranch.TrueBranch = null;
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278 | conditionalBranch.Successor = null;
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279 | #endregion
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280 | }
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281 |
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282 | public override IOperation Apply() {
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283 | if (MutatorParameter.ActualValue == null)
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284 | return null;
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285 | return base.Apply();
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286 | }
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287 | }
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288 | }
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