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.Encodings.ConditionActionEncoding;
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26 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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27 | using HeuristicLab.Operators;
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28 | using HeuristicLab.Optimization;
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29 | using HeuristicLab.Optimization.Operators;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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32 | using HeuristicLab.Selection;
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33 |
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34 | namespace HeuristicLab.Algorithms.LearningClassifierSystems {
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35 | /// <summary>
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36 | /// An operator which represents the main loop of a learning classifier system.
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37 | /// </summary>
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38 | [Item("LearningClassifierSystemMainLoop", "An operator which represents the main loop of a learning classifier system.")]
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39 | [StorableClass]
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40 | public sealed class LearningClassifierSystemMainLoop : AlgorithmOperator {
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41 |
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42 | #region Parameter Properties
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43 | public IConstrainedValueParameter<ISelector> SelectorParameter {
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44 | get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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45 | }
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46 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
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47 | get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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48 | }
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49 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
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50 | get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
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51 | }
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52 | public IConstrainedValueParameter<IOperator> AfterCrossoverParameter {
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53 | get { return (IConstrainedValueParameter<IOperator>)Parameters["AfterCrossover"]; }
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54 | }
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55 | #endregion
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56 |
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57 | #region private properties
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58 | private SolutionsCreator initialSolutionsCreator;
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59 | private MatchConditionOperator matchConditionOperator;
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60 | private PredictionArrayCalculator predictionArrayCalculator;
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61 | private ActionSelector actionSelector;
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62 | private DoDeletionBeforeCoveringOperator doDeletionBeforeCovering;
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63 | private CoveringOperator covering;
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64 | private ConditionalSelector subsumptionSelector;
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65 |
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66 | private Placeholder evaluator;
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67 | private Placeholder actionExecuter;
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68 | private Placeholder classifierFetcher;
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69 | private Placeholder actionSetSubsumption;
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70 | #endregion
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71 |
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72 | [StorableConstructor]
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73 | private LearningClassifierSystemMainLoop(bool deserializing) : base(deserializing) { }
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74 | private LearningClassifierSystemMainLoop(LearningClassifierSystemMainLoop original, Cloner cloner)
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75 | : base(original, cloner) {
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76 | }
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77 | public override IDeepCloneable Clone(Cloner cloner) {
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78 | return new LearningClassifierSystemMainLoop(this, cloner);
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79 | }
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80 | public LearningClassifierSystemMainLoop()
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81 | : base() {
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82 | Initialize();
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83 | }
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84 |
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85 | private void Initialize() {
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86 | #region Create parameters
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87 | 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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88 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions.", new ItemSet<ICrossover>() { new HeuristicLab.Encodings.CombinedIntegerVectorEncoding.SinglePointCrossover() }, new HeuristicLab.Encodings.CombinedIntegerVectorEncoding.SinglePointCrossover()));
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89 | 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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90 | UniformOnePositionManipulator test = new UniformOnePositionManipulator();
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91 | test.IntegerVectorParameter.ActualName = "CombinedIntegerVector";
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92 | Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions.", new ItemSet<IManipulator>() { new UniformOnePositionManipulator() }, test));
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93 | XCSAfterCrossoverOperator afterCrossover = new XCSAfterCrossoverOperator();
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94 | Parameters.Add(new ConstrainedValueParameter<IOperator>("AfterCrossover", "The operator used to select solutions for reproduction.", new ItemSet<IOperator>() { new XCSAfterCrossoverOperator() }, afterCrossover));
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95 | #endregion
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96 |
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97 | #region Create operators
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98 | VariableCreator variableCreator = new VariableCreator();
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99 | ConditionalBranch initialPopulationConditionalBranch = new ConditionalBranch();
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100 | initialSolutionsCreator = new SolutionsCreator();
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101 | Assigner initialPopulationSizeAssigner = new Assigner();
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102 | IntCounter iterationCounter = new IntCounter();
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103 | UniformSubScopesProcessor matchCondtionSubScopesProcessor = new UniformSubScopesProcessor();
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104 | matchConditionOperator = new MatchConditionOperator();
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105 | predictionArrayCalculator = new PredictionArrayCalculator();
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106 | actionSelector = new ActionSelector();
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107 | UniformSubScopesProcessor matchActionSubScopesProcessor = new UniformSubScopesProcessor();
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108 | MatchActionOperator matchActionOperator = new MatchActionOperator();
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109 | ConditionalSelector conditionMatchSelector = new ConditionalSelector();
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110 | ConditionalSelector actionMatchSelector = new ConditionalSelector();
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111 | SubScopesProcessor matchSetSubScopesProcessor = new SubScopesProcessor();
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112 | CountNumberOfUniqueActions countNumberOfUniqueActions = new CountNumberOfUniqueActions();
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113 | doDeletionBeforeCovering = new DoDeletionBeforeCoveringOperator();
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114 | ConditionalBranch doDeletionBeforeCoveringConditionalBranch = new ConditionalBranch();
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115 | MergingReducer matchSetMergingReducerForDeletion = new MergingReducer();
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116 | SubScopeVariableCopier subscopeVariableCopier = new SubScopeVariableCopier();
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117 | XCSDeletionOperator deletionOperator = new XCSDeletionOperator();
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118 | ConditionalSelector deletionSelector = new ConditionalSelector();
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119 | LeftReducer leftReducerAfterDeletionSelection = new LeftReducer();
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120 | UniformSubScopesProcessor matchConditionAfterDeletionSubScopesProcessor = new UniformSubScopesProcessor();
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121 | ConditionalSelector conditionMatchSelectorAfterDeletion = new ConditionalSelector();
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122 | SubScopesProcessor matchSetAfterDeletionSubScopesProcessor = new SubScopesProcessor();
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123 | CountNumberOfUniqueActions countNumberOfUniqueActionsAfterDeletion = new CountNumberOfUniqueActions();
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124 | SubScopesProcessor coveringAfterDeletionSubScopesProcessor = new SubScopesProcessor();
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125 | covering = new CoveringOperator();
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126 | MergingReducer actionSetMergingReducer = new MergingReducer();
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127 | MergingReducer matchSetMergingReducer = new MergingReducer();
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128 | evaluator = new Placeholder();
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129 | SubScopesProcessor actionSetSubScopesProcessor = new SubScopesProcessor();
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130 | DataReducer actionSetSizeDataReducer = new DataReducer();
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131 | UniformSubScopesProcessor accuracySubScopesProcessor = new UniformSubScopesProcessor();
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132 | CalculateAccuracy calculateAccuracy = new CalculateAccuracy();
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133 | SumAccuracy sumAccuracy = new SumAccuracy();
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134 | UniformSubScopesProcessor updateParametersSubScopesProcessor = new UniformSubScopesProcessor();
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135 | ConditionalBranch actionSetSubsumptionBranch = new ConditionalBranch();
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136 | subsumptionSelector = new ConditionalSelector();
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137 | LeftReducer leftReducer = new LeftReducer();
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138 | XCSCheckIfGAShouldBeApplied checkIfGAShouldRun = new XCSCheckIfGAShouldBeApplied();
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139 | ConditionalBranch runGAConditionalBranch = new ConditionalBranch();
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140 | UniformSubScopesProcessor timestampAssignerSubscopeProcessor = new UniformSubScopesProcessor();
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141 | Assigner timestampAssigner = new Assigner();
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142 | LCSAdaptedGeneticAlgorithm adaptedGeneticAlgorithmMainLoop = new LCSAdaptedGeneticAlgorithm();
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143 | IntCounter currentPopulationSizeCounter = new IntCounter();
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144 | CalculateNumberOfDeletionsOperator calculateNumberOfDeletions = new CalculateNumberOfDeletionsOperator();
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145 | XCSDeletionOperator deletionOperatorAfterGA = new XCSDeletionOperator();
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146 | ConditionalSelector deletionSelectorAfterGA = new ConditionalSelector();
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147 | LeftReducer leftReducerAfterGA = new LeftReducer();
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148 |
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149 | classifierFetcher = new Placeholder();
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150 | actionExecuter = new Placeholder();
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151 | actionSetSubsumption = new Placeholder();
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152 |
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153 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("ZeroIntValue", new IntValue(0)));
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154 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("OneIntValue", new IntValue(1)));
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155 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Iteration", new IntValue(0)));
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156 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("CurrentPopulationSize", new IntValue(0)));
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157 |
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158 | initialPopulationConditionalBranch.ConditionParameter.ActualName = "CreateInitialPopulation";
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159 |
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160 | initialSolutionsCreator.NumberOfSolutionsParameter.ActualName = "N";
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161 |
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162 | initialPopulationSizeAssigner.LeftSideParameter.ActualName = "CurrentPopulationSize";
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163 | initialPopulationSizeAssigner.RightSideParameter.ActualName = "N";
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164 |
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165 | iterationCounter.ValueParameter.ActualName = "Iteration";
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166 | iterationCounter.IncrementParameter.ActualName = "OneIntValue";
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167 |
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168 | matchConditionOperator.MatchParameter.ActualName = "CombinedIntegerVector";
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169 |
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170 | conditionMatchSelector.CopySelected = new BoolValue(false);
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171 | conditionMatchSelector.ConditionParameter.ActualName = "MatchCondition";
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172 |
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173 | conditionMatchSelectorAfterDeletion.CopySelected = new BoolValue(false);
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174 | conditionMatchSelectorAfterDeletion.ConditionParameter.ActualName = "MatchCondition";
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175 |
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176 | countNumberOfUniqueActions.ClassifiersParameter.ActualName = "CombinedIntegerVector";
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177 |
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178 | countNumberOfUniqueActionsAfterDeletion.ClassifiersParameter.ActualName = "CombinedIntegerVector";
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179 |
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180 | subscopeVariableCopier.SubScopeIndexParameter.Value = new IntValue(1);
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181 |
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182 | doDeletionBeforeCovering.CurrentPopulationSizeParameter.ActualName = "CurrentPopulationSize";
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183 | doDeletionBeforeCovering.NumberOfUniqueActionsParameter.ActualName = countNumberOfUniqueActions.NumberOfUniqueActionsParameter.ActualName;
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184 | doDeletionBeforeCovering.PopulationSizeParameter.ActualName = "N";
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185 |
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186 | doDeletionBeforeCoveringConditionalBranch.ConditionParameter.ActualName = doDeletionBeforeCovering.DoDeletionParameter.ActualName;
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187 |
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188 | deletionOperator.NumberToDeleteParameter.ActualName = doDeletionBeforeCovering.NumberToDeleteParameter.ActualName;
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189 | deletionOperator.AverageActionSetSizesParameter.ActualName = "AverageActionSetSize";
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190 | deletionOperator.FitnessesParameter.ActualName = "Fitness";
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191 | deletionOperator.NumerositiesParameter.ActualName = "Numerosity";
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192 | deletionOperator.ExperiencesParameter.ActualName = "Experience";
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193 | deletionOperator.ThetaDeletionParameter.ActualName = "ThetaDeletion";
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194 | deletionOperator.DeltaParameter.ActualName = "Delta";
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195 | deletionOperator.RandomParameter.ActualName = "Random";
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196 |
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197 | deletionSelector.ConditionParameter.ActualName = deletionOperator.HasToBeDeletedVariableName;
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198 | deletionSelector.CopySelected = new BoolValue(false);
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199 |
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200 | covering.ActionsInMatchSetParameter.ActualName = countNumberOfUniqueActions.UniqueActionsParameter.ActualName;
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201 | covering.ParallelParameter.Value.Value = true;
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202 | covering.RandomParameter.ActualName = "Random";
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203 | covering.CurrentPopulationSizeParameter.ActualName = "CurrentPopulationSize";
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204 |
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205 | matchActionSubScopesProcessor.Operator = matchActionOperator;
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206 |
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207 | matchActionOperator.MatchParameter.ActualName = "CombinedIntegerVector";
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208 | matchActionOperator.TargetMatchParameter.ActualName = actionSelector.SelectedActionParameter.ActualName;
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209 |
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210 | predictionArrayCalculator.MatchParameter.ActualName = "CombinedIntegerVector";
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211 |
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212 | actionSelector.PredictionArrayParameter.ActualName = predictionArrayCalculator.PredictionArrayParameter.Name;
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213 | actionSelector.RandomParameter.ActualName = "Random";
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214 | actionSelector.ExplorationProbabilityParameter.ActualName = "ExplorationProbability";
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215 |
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216 | actionMatchSelector.CopySelected = new BoolValue(false);
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217 | actionMatchSelector.ConditionParameter.ActualName = "MatchAction";
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218 |
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219 | actionSetSubsumptionBranch.ConditionParameter.ActualName = "DoActionSetSubsumption";
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220 |
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221 | subsumptionSelector.CopySelected = new BoolValue(false);
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222 |
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223 | SelectorParameter.Value.CopySelected = new BoolValue(true);
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224 | SelectorParameter.Value.NumberOfSelectedSubScopesParameter.Value = new IntValue(4);
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225 |
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226 | evaluator.Name = "Evaluator";
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227 |
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228 | classifierFetcher.Name = "ClassifierFetcher";
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229 |
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230 | actionExecuter.Name = "ActionExecuter";
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231 |
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232 | actionSetSizeDataReducer.TargetParameter.ActualName = "CurrentActionSetSize";
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233 | actionSetSizeDataReducer.ParameterToReduce.ActualName = "Numerosity";
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234 | actionSetSizeDataReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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235 | actionSetSizeDataReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign);
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236 |
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237 | calculateAccuracy.AlphaParameter.ActualName = "Alpha";
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238 | calculateAccuracy.ErrorParameter.ActualName = "Error";
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239 | calculateAccuracy.ErrorZeroParameter.ActualName = "ErrorZero";
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240 | calculateAccuracy.PowerParameter.ActualName = "v";
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241 |
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242 | sumAccuracy.AccuracyParameter.ActualName = calculateAccuracy.AccuracyParameter.ActualName;
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243 | sumAccuracy.NumerosityParameter.ActualName = "Numerosity";
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244 |
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245 | //BEGIN parameters have to be set differently
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246 | checkIfGAShouldRun.TimeStampsParameter.ActualName = "Timestamp";
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247 | checkIfGAShouldRun.NumerositiesParameter.ActualName = "Numerosity";
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248 | checkIfGAShouldRun.ThetaGAParameter.ActualName = "ThetaGA";
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249 | //END
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250 | checkIfGAShouldRun.IterationParameter.ActualName = iterationCounter.ValueParameter.ActualName;
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251 |
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252 | runGAConditionalBranch.ConditionParameter.ActualName = checkIfGAShouldRun.RunGAParameter.ActualName;
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253 |
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254 | timestampAssigner.LeftSideParameter.ActualName = "Timestamp";
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255 | timestampAssigner.RightSideParameter.ActualName = iterationCounter.ValueParameter.ActualName;
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256 |
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257 | afterCrossover.NumerosityParameter.ActualName = "Numerosity";
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258 | afterCrossover.ExperienceParameter.ActualName = "Experience";
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259 | afterCrossover.TimestampParameter.ActualName = "Timestamp";
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260 | afterCrossover.CurrentIterationParameter.ActualName = "Iteration";
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261 | afterCrossover.FitnessParameter.ActualName = "Fitness";
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262 | afterCrossover.AverageActionSetSizeParameter.ActualName = "AverageActionSetSize";
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263 | afterCrossover.PredictionParameter.ActualName = "Prediction";
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264 | afterCrossover.ErrorParameter.ActualName = "Error";
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265 | afterCrossover.ParentFitnessParameter.ActualName = "Fitness";
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266 | afterCrossover.ParentErrorParameter.ActualName = "Error";
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267 | afterCrossover.ParentPredictionParameter.ActualName = "Prediction";
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268 | afterCrossover.ParentAverageActionSetSizeParameter.ActualName = "AverageActionSetSize";
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269 |
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270 | adaptedGeneticAlgorithmMainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
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271 | adaptedGeneticAlgorithmMainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
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272 | adaptedGeneticAlgorithmMainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
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273 | adaptedGeneticAlgorithmMainLoop.RandomParameter.ActualName = "Random";
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274 | adaptedGeneticAlgorithmMainLoop.MaximumGenerationsParameter.ActualName = "ZeroIntValue";
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275 | adaptedGeneticAlgorithmMainLoop.QualityParameter.ActualName = "Fitness";
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276 | adaptedGeneticAlgorithmMainLoop.MutationProbabilityParameter.Value = new PercentValue(10);
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277 | adaptedGeneticAlgorithmMainLoop.MaximizationParameter.Value = new BoolValue(true);
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278 | adaptedGeneticAlgorithmMainLoop.AfterCrossoverParameter.ActualName = AfterCrossoverParameter.Name;
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279 |
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280 | currentPopulationSizeCounter.ValueParameter.ActualName = "CurrentPopulationSize";
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281 | currentPopulationSizeCounter.Increment = new IntValue(2);
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282 |
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283 | calculateNumberOfDeletions.CurrentPopulationSizeParameter.ActualName = "CurrentPopulationSize";
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284 | calculateNumberOfDeletions.PopulationSizeParameter.ActualName = "N";
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285 |
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286 | deletionOperatorAfterGA.NumberToDeleteParameter.ActualName = calculateNumberOfDeletions.NumberOfDeletionsParameter.ActualName;
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287 | deletionOperatorAfterGA.AverageActionSetSizesParameter.ActualName = "AverageActionSetSize";
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288 | deletionOperatorAfterGA.FitnessesParameter.ActualName = "Fitness";
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289 | deletionOperatorAfterGA.NumerositiesParameter.ActualName = "Numerosity";
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290 | deletionOperatorAfterGA.ExperiencesParameter.ActualName = "Experience";
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291 | deletionOperatorAfterGA.ThetaDeletionParameter.ActualName = "ThetaDeletion";
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292 | deletionOperatorAfterGA.DeltaParameter.ActualName = "Delta";
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293 | deletionOperatorAfterGA.RandomParameter.ActualName = "Random";
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294 |
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295 | deletionSelectorAfterGA.ConditionParameter.ActualName = deletionOperatorAfterGA.HasToBeDeletedVariableName;
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296 | deletionSelectorAfterGA.CopySelected = new BoolValue(false);
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297 | #endregion
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298 |
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299 | #region Create operator graph
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300 | OperatorGraph.InitialOperator = variableCreator;
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301 |
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302 | variableCreator.Successor = initialPopulationConditionalBranch;
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303 | initialPopulationConditionalBranch.TrueBranch = initialSolutionsCreator;
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304 | initialSolutionsCreator.Successor = initialPopulationSizeAssigner;
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305 | initialPopulationConditionalBranch.FalseBranch = new EmptyOperator();
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306 | initialPopulationConditionalBranch.Successor = classifierFetcher;
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307 | classifierFetcher.Successor = matchCondtionSubScopesProcessor;
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308 | matchCondtionSubScopesProcessor.Operator = matchConditionOperator;
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309 | matchCondtionSubScopesProcessor.Successor = conditionMatchSelector;
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310 | conditionMatchSelector.Successor = matchSetSubScopesProcessor;
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311 | matchSetSubScopesProcessor.Operators.Add(new EmptyOperator());
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312 | matchSetSubScopesProcessor.Operators.Add(countNumberOfUniqueActions);
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313 | matchSetSubScopesProcessor.Successor = subscopeVariableCopier;
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314 | subscopeVariableCopier.Successor = doDeletionBeforeCovering;
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315 | doDeletionBeforeCovering.Successor = doDeletionBeforeCoveringConditionalBranch;
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316 | doDeletionBeforeCoveringConditionalBranch.TrueBranch = matchSetMergingReducerForDeletion;
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317 | matchSetMergingReducerForDeletion.Successor = deletionOperator;
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318 | deletionOperator.Successor = deletionSelector;
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319 | deletionSelector.Successor = leftReducerAfterDeletionSelection;
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320 | leftReducerAfterDeletionSelection.Successor = matchConditionAfterDeletionSubScopesProcessor;
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321 | doDeletionBeforeCoveringConditionalBranch.FalseBranch = coveringAfterDeletionSubScopesProcessor;
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322 | coveringAfterDeletionSubScopesProcessor.Operators.Add(new EmptyOperator());
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323 | coveringAfterDeletionSubScopesProcessor.Operators.Add(covering);
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324 | coveringAfterDeletionSubScopesProcessor.Successor = matchSetMergingReducer;
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325 | matchConditionAfterDeletionSubScopesProcessor.Operator = matchConditionOperator;
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326 | matchConditionAfterDeletionSubScopesProcessor.Successor = conditionMatchSelectorAfterDeletion;
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327 | conditionMatchSelectorAfterDeletion.Successor = matchSetAfterDeletionSubScopesProcessor;
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328 | matchSetAfterDeletionSubScopesProcessor.Operators.Add(new EmptyOperator());
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329 | matchSetAfterDeletionSubScopesProcessor.Operators.Add(countNumberOfUniqueActionsAfterDeletion);
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330 | matchSetAfterDeletionSubScopesProcessor.Successor = matchSetMergingReducer;
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331 | countNumberOfUniqueActionsAfterDeletion.Successor = covering;
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332 |
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333 | covering.Successor = predictionArrayCalculator;
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334 | predictionArrayCalculator.Successor = actionSelector;
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335 | actionSelector.Successor = matchActionSubScopesProcessor;
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336 | matchActionSubScopesProcessor.Successor = actionMatchSelector;
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337 | actionMatchSelector.Successor = actionExecuter;
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338 | actionExecuter.Successor = actionSetSubScopesProcessor;
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339 | actionSetSubScopesProcessor.Operators.Add(new EmptyOperator());
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340 | actionSetSubScopesProcessor.Operators.Add(actionSetSizeDataReducer);
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341 | actionSetSizeDataReducer.Successor = accuracySubScopesProcessor;
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342 | accuracySubScopesProcessor.Operator = calculateAccuracy;
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343 | accuracySubScopesProcessor.Successor = sumAccuracy;
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344 | sumAccuracy.Successor = updateParametersSubScopesProcessor;
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345 | updateParametersSubScopesProcessor.Operator = evaluator;
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346 | updateParametersSubScopesProcessor.Successor = actionSetSubsumptionBranch;
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347 | actionSetSubsumptionBranch.TrueBranch = actionSetSubsumption;
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348 | actionSetSubsumption.Successor = subsumptionSelector;
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349 | subsumptionSelector.Successor = leftReducer;
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350 | actionSetSubsumptionBranch.FalseBranch = new EmptyOperator();
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351 | actionSetSubsumptionBranch.Successor = checkIfGAShouldRun;
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352 | checkIfGAShouldRun.Successor = runGAConditionalBranch;
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353 | runGAConditionalBranch.TrueBranch = timestampAssignerSubscopeProcessor;
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354 | runGAConditionalBranch.FalseBranch = new EmptyOperator();
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355 | timestampAssignerSubscopeProcessor.Operator = timestampAssigner;
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356 | timestampAssignerSubscopeProcessor.Successor = adaptedGeneticAlgorithmMainLoop;
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357 | adaptedGeneticAlgorithmMainLoop.Successor = currentPopulationSizeCounter;
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358 |
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359 | actionSetSubScopesProcessor.Successor = actionSetMergingReducer;
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360 |
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361 | matchSetMergingReducer.Successor = calculateNumberOfDeletions;
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362 | calculateNumberOfDeletions.Successor = deletionOperatorAfterGA;
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363 | deletionOperatorAfterGA.Successor = deletionSelectorAfterGA;
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364 | deletionSelectorAfterGA.Successor = leftReducerAfterGA;
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365 | leftReducerAfterGA.Successor = iterationCounter;
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366 | iterationCounter.Successor = classifierFetcher;
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367 | #endregion
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368 | }
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369 |
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370 | private void ParameterizeStochasticOperator(IOperator op) {
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371 | IStochasticOperator stochasticOp = op as IStochasticOperator;
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372 | if (stochasticOp != null) {
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373 | stochasticOp.RandomParameter.ActualName = "Random";
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374 | stochasticOp.RandomParameter.Hidden = true;
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375 | }
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376 | }
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377 |
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378 | internal void SetCurrentProblem(IConditionActionProblem problem) {
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379 | initialSolutionsCreator.SolutionCreatorParameter.ActualName = problem.SolutionCreatorParameter.Name;
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380 | initialSolutionsCreator.EvaluatorParameter.ActualName = problem.EvaluatorParameter.Name;
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381 |
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382 | problem.ActionExecuter.SelectedActionParameter.ActualName = actionSelector.SelectedActionParameter.ActualName;
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383 |
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384 | problem.ClassifierFetcher.IterationParameter.ActualName = "Iteration";
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385 |
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386 | evaluator.OperatorParameter.ActualName = problem.EvaluatorParameter.Name;
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387 |
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388 | classifierFetcher.OperatorParameter.ActualName = problem.ClassifierFetcherParameter.Name;
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389 |
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390 | actionExecuter.OperatorParameter.ActualName = problem.ActionExecuterParameter.Name;
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391 |
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392 | problem.ActionSetSubsumptionOperator.ThetaSubsumptionParameter.ActualName = "ThetaSubsumption";
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393 | problem.ActionSetSubsumptionOperator.ErrorsParameter.ActualName = "Error";
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394 | problem.ActionSetSubsumptionOperator.ErrorZeroParameter.ActualName = "ErrorZero";
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395 | problem.ActionSetSubsumptionOperator.ExperiencesParameter.ActualName = "Experience";
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396 | problem.ActionSetSubsumptionOperator.NumerositiesParameter.ActualName = "Numerosity";
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397 |
|
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398 | subsumptionSelector.ConditionParameter.ActualName = problem.ActionSetSubsumptionOperator.HasBeenSubsumedParameterName;
|
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399 |
|
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400 | actionSetSubsumption.OperatorParameter.ActualName = problem.ActionSetSubsumptionOperatorParameter.Name;
|
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401 |
|
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402 | matchConditionOperator.TargetMatchParameter.ActualName = problem.ClassifierFetcher.CurrentClassifierToMatchParameter.ActualName;
|
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403 |
|
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404 | doDeletionBeforeCovering.MinimalNumberOfUniqueActionsParameter.ActualName = problem.ThetaMinimalNumberOfActionsParameter.Name;
|
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405 |
|
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406 | covering.SolutionCreatorParameter.ActualName = problem.CoveringSolutionCreatorParameter.Name;
|
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407 | covering.EvaluatorParameter.ActualName = problem.EvaluatorParameter.Name;
|
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408 | covering.MinimalNumberOfUniqueActionsParameter.ActualName = problem.ThetaMinimalNumberOfActionsParameter.Name;
|
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409 | covering.PossibleActionsParameter.ActualName = problem.PossibleActionsParameter.Name;
|
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410 |
|
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411 | predictionArrayCalculator.PredictionParameter.ActualName = problem.Evaluator.PredictionParameter.ActualName;
|
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412 | predictionArrayCalculator.FitnessParameter.ActualName = problem.Evaluator.FitnessParameter.ActualName;
|
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413 | }
|
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414 | //private void ParameterizeSelectors() {
|
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415 | // foreach (ISelector selector in SelectorParameter.ValidValues) {
|
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416 | // selector.CopySelected = new BoolValue(true);
|
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417 | // //set value by parameter!
|
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418 | // selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(5);
|
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419 | // selector.NumberOfSelectedSubScopesParameter.Hidden = true;
|
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420 | // ParameterizeStochasticOperator(selector);
|
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421 | // }
|
---|
422 | // if (Problem != null) {
|
---|
423 | // foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
|
---|
424 | // selector.MaximizationParameter.Value = new BoolValue(true);
|
---|
425 | // selector.MaximizationParameter.Hidden = true;
|
---|
426 | // selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
427 | // selector.QualityParameter.Hidden = true;
|
---|
428 | // }
|
---|
429 | // }
|
---|
430 | //}
|
---|
431 | }
|
---|
432 | }
|
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