1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 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.Optimization.Operators.LCS;
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28 | using HeuristicLab.Parameters;
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29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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30 | using HeuristicLab.Selection;
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31 |
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32 | namespace HeuristicLab.Algorithms.GAssist {
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33 | /// <summary>
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34 | /// An operator which represents the main loop of a genetic algorithm.
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35 | /// </summary>
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36 | [Item("GAssistMainLoop", "An operator which represents the main loop of GAssist.")]
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37 | [StorableClass]
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38 | public sealed class GAssistMainLoop : AlgorithmOperator {
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39 | #region Parameter properties
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40 | public ValueLookupParameter<IRandom> RandomParameter {
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41 | get { return (ValueLookupParameter<IRandom>)Parameters["Random"]; }
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42 | }
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43 | public ValueLookupParameter<BoolValue> MaximizationParameter {
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44 | get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
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45 | }
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46 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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47 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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48 | }
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49 | public ValueLookupParameter<IOperator> SelectorParameter {
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50 | get { return (ValueLookupParameter<IOperator>)Parameters["Selector"]; }
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51 | }
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52 | public ValueLookupParameter<PercentValue> CrossoverProbabilityParameter {
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53 | get { return (ValueLookupParameter<PercentValue>)Parameters["CrossoverProbability"]; }
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54 | }
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55 | public ValueLookupParameter<IOperator> CrossoverParameter {
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56 | get { return (ValueLookupParameter<IOperator>)Parameters["Crossover"]; }
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57 | }
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58 | public ValueLookupParameter<PercentValue> MutationProbabilityParameter {
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59 | get { return (ValueLookupParameter<PercentValue>)Parameters["MutationProbability"]; }
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60 | }
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61 | public ValueLookupParameter<IOperator> MutatorParameter {
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62 | get { return (ValueLookupParameter<IOperator>)Parameters["Mutator"]; }
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63 | }
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64 | public ValueLookupParameter<IOperator> MDLIterationParameter {
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65 | get { return (ValueLookupParameter<IOperator>)Parameters["MDLIteration"]; }
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66 | }
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67 | public ValueLookupParameter<IOperator> DefaultRuleParameter {
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68 | get { return (ValueLookupParameter<IOperator>)Parameters["DefaultRule"]; }
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69 | }
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70 | public ValueLookupParameter<IOperator> SpecialStagesParameter {
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71 | get { return (ValueLookupParameter<IOperator>)Parameters["SpecialStages"]; }
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72 | }
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73 | public ValueLookupParameter<IOperator> EvaluatorParameter {
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74 | get { return (ValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
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75 | }
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76 | public ValueLookupParameter<IntValue> ElitesParameter {
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77 | get { return (ValueLookupParameter<IntValue>)Parameters["Elites"]; }
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78 | }
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79 | public ValueLookupParameter<IntValue> MaximumGenerationsParameter {
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80 | get { return (ValueLookupParameter<IntValue>)Parameters["MaximumGenerations"]; }
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81 | }
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82 | public ValueLookupParameter<VariableCollection> ResultsParameter {
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83 | get { return (ValueLookupParameter<VariableCollection>)Parameters["Results"]; }
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84 | }
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85 | public ValueLookupParameter<IOperator> AnalyzerParameter {
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86 | get { return (ValueLookupParameter<IOperator>)Parameters["Analyzer"]; }
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87 | }
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88 | public ValueLookupParameter<IntValue> EvaluatedSolutionsParameter {
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89 | get { return (ValueLookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
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90 | }
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91 | public ValueLookupParameter<IntValue> PopulationSizeParameter {
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92 | get { return (ValueLookupParameter<IntValue>)Parameters["PopulationSize"]; }
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93 | }
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94 | public ValueLookupParameter<IOperator> ReinitializationProbabilityOperatorParameter {
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95 | get { return (ValueLookupParameter<IOperator>)Parameters["ReinitializationProbabilityOperator"]; }
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96 | }
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97 | private ScopeParameter CurrentScopeParameter {
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98 | get { return (ScopeParameter)Parameters["CurrentScope"]; }
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99 | }
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100 |
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101 | public IScope CurrentScope {
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102 | get { return CurrentScopeParameter.ActualValue; }
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103 | }
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104 | #endregion
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105 |
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106 | [StorableConstructor]
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107 | private GAssistMainLoop(bool deserializing) : base(deserializing) { }
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108 | private GAssistMainLoop(GAssistMainLoop original, Cloner cloner)
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109 | : base(original, cloner) {
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110 | }
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111 | public override IDeepCloneable Clone(Cloner cloner) {
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112 | return new GAssistMainLoop(this, cloner);
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113 | }
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114 | public GAssistMainLoop()
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115 | : base() {
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116 | Initialize();
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117 | }
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118 |
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119 | private void Initialize() {
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120 | #region Create parameters
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121 | Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
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122 | Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
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123 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
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124 | Parameters.Add(new ValueLookupParameter<IOperator>("Selector", "The operator used to select solutions for reproduction."));
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125 | Parameters.Add(new ValueLookupParameter<PercentValue>("CrossoverProbability", "The probability that the crossover operator is applied on a solution."));
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126 | Parameters.Add(new ValueLookupParameter<IOperator>("Crossover", "The operator used to cross solutions."));
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127 | Parameters.Add(new ValueLookupParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
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128 | Parameters.Add(new ValueLookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
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129 | Parameters.Add(new ValueLookupParameter<IOperator>("SpecialStages", "The operator used for the special stages of GAssist."));
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130 | 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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131 | Parameters.Add(new ValueLookupParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
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132 | Parameters.Add(new ValueLookupParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed."));
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133 | Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
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134 | Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze each generation."));
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135 | Parameters.Add(new ValueLookupParameter<IntValue>("EvaluatedSolutions", "The number of times solutions have been evaluated."));
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136 | Parameters.Add(new ValueLookupParameter<IntValue>("PopulationSize", "The size of the population."));
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137 | Parameters.Add(new ValueLookupParameter<IOperator>("ReinitializationProbabilityOperator", ""));
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138 | Parameters.Add(new ValueLookupParameter<IOperator>("DefaultRule", ""));
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139 | Parameters.Add(new ValueLookupParameter<IOperator>("MDLIteration", ""));
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140 | Parameters.Add(new ScopeParameter("CurrentScope", "The current scope which represents a population of solutions on which the genetic algorithm should be applied."));
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141 | #endregion
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142 |
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143 | #region Create operators
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144 | ResultsCollector resultsCollector1 = new ResultsCollector();
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145 | Placeholder analyzer1 = new Placeholder();
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146 | Placeholder mdlIterationOperator = new Placeholder();
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147 | Placeholder defaultRuleOperator = new Placeholder();
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148 | Placeholder reinitializationProbabilityOperator = new Placeholder();
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149 | Placeholder selector = new Placeholder();
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150 | SubScopesProcessor subScopesProcessor1 = new SubScopesProcessor();
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151 | ChildrenCreator childrenCreator = new ChildrenCreator();
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152 | UniformSubScopesProcessor uniformSubScopesProcessor1 = new UniformSubScopesProcessor();
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153 | StochasticBranch stochasticBranchCrossover = new StochasticBranch();
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154 | Placeholder crossover = new Placeholder();
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155 | RandomSelector randomSelector = new RandomSelector();
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156 | PreservingRightReducer preservingRightReducer = new PreservingRightReducer();
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157 | StochasticBranch stochasticBranchMutator = new StochasticBranch();
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158 | Placeholder mutator = new Placeholder();
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159 | Placeholder specialStages = new Placeholder();
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160 | SubScopesRemover subScopesRemover = new SubScopesRemover();
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161 | UniformSubScopesProcessor uniformSubScopesProcessor2 = new UniformSubScopesProcessor();
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162 | Placeholder evaluator = new Placeholder();
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163 | SubScopesCounter subScopesCounter = new SubScopesCounter();
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164 | SubScopesProcessor subScopesProcessor2 = new SubScopesProcessor();
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165 | BestSelector bestSelector = new BestSelector();
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166 | RightReducer rightReducer = new RightReducer();
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167 | MergingReducer mergingReducer = new MergingReducer();
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168 | IntCounter intCounter = new IntCounter();
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169 | Comparator comparator = new Comparator();
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170 | Placeholder analyzer2 = new Placeholder();
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171 | ConditionalBranch conditionalBranch = new ConditionalBranch();
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172 |
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173 | resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
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174 | resultsCollector1.ResultsParameter.ActualName = "Results";
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175 |
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176 | analyzer1.Name = "Analyzer";
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177 | analyzer1.OperatorParameter.ActualName = "Analyzer";
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178 |
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179 | mdlIterationOperator.Name = "MDL Iteration Operator";
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180 | mdlIterationOperator.OperatorParameter.ActualName = MDLIterationParameter.Name;
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181 |
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182 | defaultRuleOperator.Name = "Default Rule Operator";
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183 | defaultRuleOperator.OperatorParameter.ActualName = DefaultRuleParameter.Name;
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184 |
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185 | reinitializationProbabilityOperator.Name = "Reinitialization Probability operator (placeholder)";
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186 | reinitializationProbabilityOperator.OperatorParameter.ActualName = ReinitializationProbabilityOperatorParameter.Name;
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187 |
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188 | selector.Name = "Selector";
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189 | selector.OperatorParameter.ActualName = "Selector";
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190 |
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191 | childrenCreator.ParentsPerChild = new IntValue(2);
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192 |
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193 | stochasticBranchCrossover.ProbabilityParameter.ActualName = "CrossoverProbability";
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194 | stochasticBranchCrossover.RandomParameter.ActualName = "Random";
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195 |
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196 | crossover.Name = "Crossover";
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197 | crossover.OperatorParameter.ActualName = "Crossover";
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198 |
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199 | randomSelector.CopySelected.Value = true;
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200 | randomSelector.NumberOfSelectedSubScopesParameter.Value = new IntValue(1);
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201 |
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202 | stochasticBranchMutator.ProbabilityParameter.ActualName = "MutationProbability";
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203 | stochasticBranchMutator.RandomParameter.ActualName = "Random";
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204 |
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205 | mutator.Name = "Mutator";
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206 | mutator.OperatorParameter.ActualName = "Mutator";
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207 |
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208 | specialStages.Name = "SpecialStages";
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209 | specialStages.OperatorParameter.ActualName = "SpecialStages";
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210 |
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211 | subScopesRemover.RemoveAllSubScopes = true;
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212 |
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213 | uniformSubScopesProcessor2.Parallel.Value = true;
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214 |
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215 | evaluator.Name = "Evaluator";
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216 | evaluator.OperatorParameter.ActualName = "Evaluator";
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217 |
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218 | subScopesCounter.Name = "Increment EvaluatedSolutions";
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219 | subScopesCounter.ValueParameter.ActualName = EvaluatedSolutionsParameter.Name;
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220 |
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221 | bestSelector.CopySelected = new BoolValue(false);
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222 | bestSelector.MaximizationParameter.ActualName = "Maximization";
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223 | bestSelector.NumberOfSelectedSubScopesParameter.ActualName = "Elites";
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224 | bestSelector.QualityParameter.ActualName = "Quality";
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225 |
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226 | intCounter.Increment = new IntValue(1);
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227 | intCounter.ValueParameter.ActualName = "Generations";
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228 |
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229 | comparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
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230 | comparator.LeftSideParameter.ActualName = "Generations";
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231 | comparator.ResultParameter.ActualName = "Terminate";
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232 | comparator.RightSideParameter.ActualName = "MaximumGenerations";
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233 |
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234 | analyzer2.Name = "Analyzer";
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235 | analyzer2.OperatorParameter.ActualName = "Analyzer";
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236 |
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237 | conditionalBranch.ConditionParameter.ActualName = "Terminate";
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238 | #endregion
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239 |
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240 | #region Create operator graph
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241 | OperatorGraph.InitialOperator = resultsCollector1;
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242 | resultsCollector1.Successor = analyzer1;
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243 | analyzer1.Successor = mdlIterationOperator;
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244 | mdlIterationOperator.Successor = defaultRuleOperator;
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245 | defaultRuleOperator.Successor = reinitializationProbabilityOperator;
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246 | reinitializationProbabilityOperator.Successor = selector;
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247 | selector.Successor = subScopesProcessor1;
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248 | subScopesProcessor1.Operators.Add(new EmptyOperator());
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249 | subScopesProcessor1.Operators.Add(childrenCreator);
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250 | subScopesProcessor1.Successor = subScopesProcessor2;
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251 | childrenCreator.Successor = uniformSubScopesProcessor1;
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252 | uniformSubScopesProcessor1.Operator = stochasticBranchCrossover;
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253 | uniformSubScopesProcessor1.Successor = uniformSubScopesProcessor2;
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254 | stochasticBranchCrossover.FirstBranch = crossover;
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255 | stochasticBranchCrossover.SecondBranch = randomSelector;
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256 | randomSelector.Successor = preservingRightReducer;
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257 | stochasticBranchCrossover.Successor = stochasticBranchMutator;
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258 | crossover.Successor = null;
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259 | preservingRightReducer.Successor = null;
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260 | stochasticBranchMutator.FirstBranch = mutator;
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261 | stochasticBranchMutator.SecondBranch = null;
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262 | stochasticBranchMutator.Successor = specialStages;
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263 | mutator.Successor = null;
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264 | specialStages.Successor = subScopesRemover;
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265 | subScopesRemover.Successor = null;
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266 | uniformSubScopesProcessor2.Operator = evaluator;
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267 | uniformSubScopesProcessor2.Successor = subScopesCounter;
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268 | evaluator.Successor = null;
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269 | subScopesCounter.Successor = null;
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270 | subScopesProcessor2.Operators.Add(bestSelector);
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271 | subScopesProcessor2.Operators.Add(new EmptyOperator());
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272 | subScopesProcessor2.Successor = mergingReducer;
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273 | bestSelector.Successor = rightReducer;
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274 | rightReducer.Successor = null;
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275 | mergingReducer.Successor = intCounter;
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276 | intCounter.Successor = comparator;
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277 | comparator.Successor = analyzer2;
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278 | analyzer2.Successor = conditionalBranch;
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279 | conditionalBranch.FalseBranch = mdlIterationOperator;
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280 | conditionalBranch.TrueBranch = null;
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281 | conditionalBranch.Successor = null;
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282 | #endregion
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283 | }
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284 |
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285 | public override IOperation Apply() {
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286 | if (CrossoverParameter.ActualValue == null)
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287 | return null;
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288 | return base.Apply();
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289 | }
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290 | }
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291 | }
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