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.Algorithms.GeneticAlgorithm;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.Encodings.CombinedIntegerVectorEncoding;
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27 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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28 | using HeuristicLab.Operators;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Optimization.Operators;
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31 | using HeuristicLab.Parameters;
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32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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33 | using HeuristicLab.Random;
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34 | using HeuristicLab.Selection;
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35 |
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36 | namespace HeuristicLab.Algorithms.LearningClassifierSystems {
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37 | /// <summary>
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38 | /// An operator which represents the main loop of a learning classifier system.
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39 | /// </summary>
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40 | [Item("LearningClassifierSystemMainLoop", "An operator which represents the main loop of a learning classifier system.")]
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41 | [StorableClass]
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42 | public class LearningClassifierSystemMainLoop : AlgorithmOperator {
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43 |
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44 | #region Parameter Properties
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45 | public IConstrainedValueParameter<ISelector> SelectorParameter {
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46 | get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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47 | }
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48 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
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49 | get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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50 | }
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51 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
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52 | get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
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53 | }
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54 | #endregion
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55 |
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56 | #region Properties
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57 | public ISelector Selector {
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58 | get { return SelectorParameter.Value; }
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59 | set { SelectorParameter.Value = value; }
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60 | }
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61 | public ICrossover Crossover {
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62 | get { return CrossoverParameter.Value; }
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63 | set { CrossoverParameter.Value = value; }
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64 | }
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65 | public IManipulator Mutator {
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66 | get { return MutatorParameter.Value; }
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67 | set { MutatorParameter.Value = value; }
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68 | }
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69 | #endregion
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70 |
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71 | [StorableConstructor]
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72 | private LearningClassifierSystemMainLoop(bool deserializing) : base(deserializing) { }
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73 | protected LearningClassifierSystemMainLoop(LearningClassifierSystemMainLoop original, Cloner cloner)
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74 | : base(original, cloner) {
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75 | }
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76 | public override IDeepCloneable Clone(Cloner cloner) {
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77 | return new LearningClassifierSystemMainLoop(this, cloner);
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78 | }
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79 | public LearningClassifierSystemMainLoop()
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80 | : base() {
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81 | Initialize();
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82 | }
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83 |
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84 | private void Initialize() {
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85 | #region Create parameters
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86 | Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction.", new ItemSet<ISelector>() { new ProportionalSelector() }, new ProportionalSelector()));
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87 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions.", new ItemSet<ICrossover>() { new SinglePointCrossover() }, new SinglePointCrossover()));
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88 | Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions.", new ItemSet<IManipulator>() { new UniformOnePositionManipulator() }, new UniformOnePositionManipulator()));
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89 | //for test purposes
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90 | int[] numbers = new int[3] { 1, 1, 1 };
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91 | int[,] elements = new int[,] { { 0, 3 }, { 0, 3 }, { 0, 2 } };
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92 | Parameters.Add(new ValueLookupParameter<CombinedIntegerVector>("TestTarget", "Target for test", new CombinedIntegerVector(numbers, 1, elements)));
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93 |
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94 | #endregion
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95 |
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96 | #region Create operators
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97 | VariableCreator variableCreator = new VariableCreator();
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98 | MatchSelector conditionMatchSelector = new MatchSelector();
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99 | MatchSelector actionMatchSelector = new MatchSelector();
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100 | SubScopesProcessor coveringSubScopesProcessor = new SubScopesProcessor();
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101 | SubScopesRemover subScopesRemover = new SubScopesRemover();
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102 | Comparator comparator = new Comparator();
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103 | ConditionalBranch conditionalBranch = new ConditionalBranch();
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104 | MergingReducer mergingReducer = new MergingReducer();
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105 | SolutionsCreator coveringMechanism = new SolutionsCreator();
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106 | SubScopesProcessor actionSelectionSubScopesProcessor = new SubScopesProcessor();
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107 | MaxValueActionSelector maxValueActionSelection = new MaxValueActionSelector();
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108 | GeneticAlgorithmMainLoop geneticAlgorithmMainLoop = new GeneticAlgorithmMainLoop();
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109 |
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110 | UniformSubScopesProcessor uniformSubScopeProcessor = new UniformSubScopesProcessor();
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111 | UniformRandomizer uniformRandomizer = new UniformRandomizer();
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112 |
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113 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("ZeroIntValue", new IntValue(0)));
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114 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("OneIntValue", new IntValue(1)));
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115 |
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116 | conditionMatchSelector.CopySelected = new BoolValue(false);
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117 | conditionMatchSelector.MatchCondition = new BoolValue(true);
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118 | //this has to be set differently
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119 | conditionMatchSelector.MatchParameter.ActualName = "CombinedIntegerVector";
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120 | conditionMatchSelector.TargetMatchParameter.ActualName = "TestTarget";
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121 |
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122 | comparator.Comparison = new Comparison(ComparisonType.LessOrEqual);
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123 | comparator.LeftSideParameter.ActualName = conditionMatchSelector.NumberOfSelectedSubScopesParameter.ActualName;
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124 | comparator.ResultParameter.ActualName = "Covering";
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125 | //more than zero solutions have to be selected
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126 | comparator.RightSideParameter.ActualName = "ZeroIntValue";
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127 |
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128 | conditionalBranch.ConditionParameter.ActualName = "Covering";
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129 |
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130 | subScopesRemover.SubScopeIndexParameter.ActualName = "OneIntValue";
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131 | subScopesRemover.RemoveAllSubScopes = false;
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132 |
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133 | coveringMechanism.NumberOfSolutionsParameter.ActualName = "OneIntValue";
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134 | coveringMechanism.SolutionCreatorParameter.ActualName = "SolutionCreator";
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135 |
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136 | maxValueActionSelection.ValueParameter.ActualName = "Fitness";
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137 | maxValueActionSelection.MatchParameter.ActualName = "CombinedIntegerVector";
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138 |
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139 | actionMatchSelector.CopySelected = new BoolValue(false);
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140 | actionMatchSelector.MatchCondition = new BoolValue(false);
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141 | //this has to be set differently
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142 | actionMatchSelector.MatchParameter.ActualName = "CombinedIntegerVector";
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143 | actionMatchSelector.TargetMatchParameter.ActualName = maxValueActionSelection.SelectedActionParameter.ActualName;
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144 |
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145 | SelectorParameter.Value.CopySelected = new BoolValue(true);
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146 | SelectorParameter.Value.NumberOfSelectedSubScopesParameter.Value = new IntValue(200);
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147 |
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148 | geneticAlgorithmMainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
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149 | geneticAlgorithmMainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
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150 | geneticAlgorithmMainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
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151 | geneticAlgorithmMainLoop.RandomParameter.ActualName = "Random";
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152 | geneticAlgorithmMainLoop.ElitesParameter.ActualName = "OneIntValue";
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153 | geneticAlgorithmMainLoop.MaximumGenerationsParameter.ActualName = "ZeroIntValue";
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154 | geneticAlgorithmMainLoop.QualityParameter.ActualName = "Fitness";
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155 | //needed?
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156 | geneticAlgorithmMainLoop.MutationProbabilityParameter.Value = new PercentValue(10);
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157 | geneticAlgorithmMainLoop.MaximizationParameter.Value = new BoolValue(true);
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158 |
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159 | uniformSubScopeProcessor.Parallel = new BoolValue(true);
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160 |
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161 | uniformRandomizer.RandomParameter.ActualName = "Random";
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162 | uniformRandomizer.MinParameter.Value = new DoubleValue(0);
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163 | uniformRandomizer.MaxParameter.Value = new DoubleValue(100);
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164 | uniformRandomizer.ValueParameter.ActualName = "Fitness";
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165 |
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166 | //ParameterizeSelectors();
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167 | #endregion
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168 |
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169 | #region Create operator graph
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170 | OperatorGraph.InitialOperator = variableCreator;
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171 | variableCreator.Successor = conditionMatchSelector;
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172 | //variableCreator.Successor = geneticAlgorithmMainLoop;
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173 | //geneticAlgorithmMainLoop.Successor = conditionMatchSelector;
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174 | conditionMatchSelector.Successor = comparator;
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175 | comparator.Successor = conditionalBranch;
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176 | conditionalBranch.TrueBranch = coveringSubScopesProcessor;
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177 | conditionalBranch.FalseBranch = actionSelectionSubScopesProcessor;
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178 | conditionalBranch.Successor = subScopesRemover;
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179 | coveringMechanism.Successor = uniformSubScopeProcessor;
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180 | uniformSubScopeProcessor.Operator = uniformRandomizer;
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181 | coveringSubScopesProcessor.Operators.Add(new EmptyOperator());
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182 | coveringSubScopesProcessor.Operators.Add(coveringMechanism);
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183 | coveringSubScopesProcessor.Successor = actionSelectionSubScopesProcessor;
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184 | actionSelectionSubScopesProcessor.Operators.Add(new EmptyOperator());
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185 | actionSelectionSubScopesProcessor.Operators.Add(maxValueActionSelection);
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186 | maxValueActionSelection.Successor = actionMatchSelector;
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187 | subScopesRemover.Successor = mergingReducer;
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188 | mergingReducer.Successor = conditionMatchSelector;
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189 | //mergingReducer.Successor = geneticAlgorithmMainLoop;
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190 | #endregion
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191 | }
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192 |
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193 | private void ParameterizeStochasticOperator(IOperator op) {
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194 | IStochasticOperator stochasticOp = op as IStochasticOperator;
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195 | if (stochasticOp != null) {
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196 | stochasticOp.RandomParameter.ActualName = "Random";
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197 | stochasticOp.RandomParameter.Hidden = true;
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198 | }
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199 | }
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200 | //private void ParameterizeSelectors() {
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201 | // foreach (ISelector selector in SelectorParameter.ValidValues) {
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202 | // selector.CopySelected = new BoolValue(true);
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203 | // //set value by parameter!
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204 | // selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(5);
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205 | // selector.NumberOfSelectedSubScopesParameter.Hidden = true;
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206 | // ParameterizeStochasticOperator(selector);
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207 | // }
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208 | // if (Problem != null) {
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209 | // foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
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210 | // selector.MaximizationParameter.Value = new BoolValue(true);
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211 | // selector.MaximizationParameter.Hidden = true;
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212 | // selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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213 | // selector.QualityParameter.Hidden = true;
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214 | // }
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215 | // }
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216 | //}
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217 | }
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218 | }
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