1 | using System;
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2 | using System.Collections.Generic;
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3 | using System.Linq;
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4 | using System.Threading;
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5 | using HeuristicLab.Algorithms.DataAnalysis;
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6 | using HeuristicLab.Analysis;
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7 | using HeuristicLab.Common;
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8 | using HeuristicLab.Core;
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9 | using HeuristicLab.Data;
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10 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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11 | using HeuristicLab.Operators;
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12 | using HeuristicLab.Optimization;
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13 | using HeuristicLab.Optimization.Operators;
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14 | using HeuristicLab.Parameters;
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15 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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16 | using HeuristicLab.Problems.DataAnalysis;
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17 | using HeuristicLab.Random;
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18 |
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19 | namespace HeuristicLab.Algorithms.EGO {
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20 | [Item("Discrete Adaptive Sampling Algorithm (D-EGO)", "A discrete adaptive sampling algorithm.")]
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21 | [Creatable(CreatableAttribute.Categories.SingleSolutionAlgorithms, Priority = 150)]
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22 | [StorableClass]
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23 | public class DiscreteAdaptiveSamplingAlgorithm : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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24 | public string Filename { get; set; }
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25 |
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26 | #region Problem Properties
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27 | public override Type ProblemType => typeof(IHeuristicOptimizationProblem);
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28 | private ISingleObjectiveHeuristicOptimizationProblem SingleObjectiveProblem => Problem as ISingleObjectiveHeuristicOptimizationProblem;
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29 | #endregion
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30 |
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31 | #region Parameter Names
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32 | private const string InfillCriterionParameterName = "InfillCriterion";
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33 | private const string InitialEvaluationsParameterName = "Initial Evaluations";
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34 | private const string TerminatorParameterName = "Terminator";
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35 | private const string SeedParameterName = "Seed";
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36 | private const string SetSeedRandomlyParameterName = "SetSeedRandomly";
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37 | private const string RegressionAlgorithmParameterName = "RegressionAlgorithm";
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38 | private const string InfillOptimizationAlgorithmParameterName = "InfillOptimizationAlgorithm";
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39 | private const string AnalyzerParameterName = "Analyzers";
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40 | private const string RemoveDuplicatesParamterName = "PerturbDuplicates";
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41 | private const string MaxModelSizeParameterName = "Maximal Model Size";
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42 | private const string InitialDatasetParameterName = "SampleSet";
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43 | #endregion
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44 |
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45 | #region Parameter Properties
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46 | public IFixedValueParameter<IntValue> SeedParameter => (IFixedValueParameter<IntValue>)Parameters[SeedParameterName];
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47 | public IFixedValueParameter<BoolValue> SetSeedRandomlyParameter => (IFixedValueParameter<BoolValue>)Parameters[SetSeedRandomlyParameterName];
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48 | public IFixedValueParameter<MultiTerminator> TerminatorParameter => (IFixedValueParameter<MultiTerminator>)Parameters[TerminatorParameterName];
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49 | public IFixedValueParameter<IntValue> InitialEvaluationsParameter => (IFixedValueParameter<IntValue>)Parameters[InitialEvaluationsParameterName];
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50 | public IConstrainedValueParameter<IInfillCriterion> InfillCriterionParameter => Parameters[InfillCriterionParameterName] as IConstrainedValueParameter<IInfillCriterion>;
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51 | public IValueParameter<Algorithm> InfillOptimizationAlgorithmParameter => Parameters[InfillOptimizationAlgorithmParameterName] as IValueParameter<Algorithm>;
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52 | public IValueParameter<IDataAnalysisAlgorithm<IRegressionProblem>> RegressionAlgorithmParameter => Parameters[RegressionAlgorithmParameterName] as IValueParameter<IDataAnalysisAlgorithm<IRegressionProblem>>;
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53 | public IFixedValueParameter<MultiAnalyzer> AnalyzerParameter => (IFixedValueParameter<MultiAnalyzer>)Parameters[AnalyzerParameterName];
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54 | public IFixedValueParameter<BoolValue> RemoveDuplicatesParameter => (IFixedValueParameter<BoolValue>)Parameters[RemoveDuplicatesParamterName];
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55 | public IFixedValueParameter<IntValue> MaxModelSizeParameter => (IFixedValueParameter<IntValue>)Parameters[MaxModelSizeParameterName];
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56 | public IValueParameter<IDataset> InitialDatasetParameter => (IValueParameter<IDataset>)Parameters[InitialDatasetParameterName];
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57 | #endregion
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58 |
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59 | #region Properties
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60 | public int Seed => SeedParameter.Value.Value;
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61 | public bool SetSeedRandomly => SetSeedRandomlyParameter.Value.Value;
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62 | public MultiTerminator Terminator => TerminatorParameter.Value;
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63 | public MultiAnalyzer Analyzer => AnalyzerParameter.Value;
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64 | public int InitialEvaluations => InitialEvaluationsParameter.Value.Value;
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65 | public IInfillCriterion InfillCriterion => InfillCriterionParameter.Value;
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66 | public Algorithm InfillOptimizationAlgorithm => InfillOptimizationAlgorithmParameter.Value;
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67 | public IDataAnalysisAlgorithm<IRegressionProblem> RegressionAlgorithm => RegressionAlgorithmParameter.Value;
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68 | public bool RemoveDuplicates => RemoveDuplicatesParameter.Value.Value;
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69 | public int MaxModelSize => MaxModelSizeParameter.Value.Value;
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70 | private SolutionsCreator SolutionsCreator => OperatorGraph.Iterate().OfType<SolutionsCreator>().First();
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71 | public IDataset InitialDataset => InitialDatasetParameter.Value;
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72 | #endregion
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73 |
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74 |
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75 |
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76 | #region Operators
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77 |
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78 | [Storable]
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79 | private OperatorList Operators;
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80 |
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81 | #region Preconfigured Analyzers
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82 | [Storable]
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83 | private BestAverageWorstQualityAnalyzer singleObjectiveQualityAnalyzer;
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84 | [Storable]
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85 | private DiscreteCorrelationAnalyzer correlationAnalyzer;
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86 | [Storable]
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87 | private DiscreteEvaluatedSolutionsAnalyzer sampleAnalyzer;
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88 | [Storable]
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89 | private ModelQualityAnalyzer modelAnalyzer;
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90 | [Storable]
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91 | private VariableVariabilityAnalyzer variabilityAnalyzer;
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92 | [Storable]
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93 | private FitnessClusteringAnalyzer fitnessClusterAnalyzer;
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94 | #endregion
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95 |
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96 | #region Preconfigured Terminators
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97 | [Storable]
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98 | private ComparisonTerminator<IntValue> evaluationsTerminator;
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99 | [Storable]
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100 | private ExecutionTimeTerminator executionTimeTerminator;
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101 | [Storable]
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102 | private SingleObjectiveQualityTerminator qualityTerminator;
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103 | #endregion
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104 |
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105 | #region Problem-dependent Operators
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106 | [Storable]
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107 | private DiscreteSampleCollector sampleCollector;
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108 | [Storable]
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109 | private DiscreteInfillSolver infillSolver;
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110 | [Storable]
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111 | private SolutionsCreator infillSolutionsCreator;
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112 | #endregion
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113 | #endregion
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114 |
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115 | #region Constructors
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116 | [StorableConstructor]
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117 | protected DiscreteAdaptiveSamplingAlgorithm(bool deserializing) : base(deserializing) { }
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118 | [StorableHook(HookType.AfterDeserialization)]
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119 | private void AfterDeserialization() {
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120 | Initialize();
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121 | }
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122 | protected DiscreteAdaptiveSamplingAlgorithm(DiscreteAdaptiveSamplingAlgorithm original, Cloner cloner) : base(original, cloner) {
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123 | singleObjectiveQualityAnalyzer = cloner.Clone(original.singleObjectiveQualityAnalyzer);
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124 | evaluationsTerminator = cloner.Clone(original.evaluationsTerminator);
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125 | qualityTerminator = cloner.Clone(original.qualityTerminator);
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126 | executionTimeTerminator = cloner.Clone(original.executionTimeTerminator);
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127 | sampleCollector = cloner.Clone(original.sampleCollector);
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128 | infillSolver = cloner.Clone(original.infillSolver);
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129 | infillSolutionsCreator = cloner.Clone(original.infillSolutionsCreator);
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130 | correlationAnalyzer = cloner.Clone(original.correlationAnalyzer);
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131 | sampleAnalyzer = cloner.Clone(original.sampleAnalyzer);
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132 | modelAnalyzer = cloner.Clone(original.modelAnalyzer);
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133 | fitnessClusterAnalyzer = cloner.Clone(original.fitnessClusterAnalyzer);
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134 |
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135 | Operators = cloner.Clone(original.Operators);
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136 | Initialize();
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137 | }
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138 | public override IDeepCloneable Clone(Cloner cloner) {
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139 | return new DiscreteAdaptiveSamplingAlgorithm(this, cloner);
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140 | }
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141 | public DiscreteAdaptiveSamplingAlgorithm() {
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142 |
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143 | #region Add parameters
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144 | var criteria = new ItemSet<IInfillCriterion> {
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145 | new AugmentedExpectedImprovement(),
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146 | new ExpectedImprovement(),
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147 | new ExpectedQuality(),
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148 | new ExpectedQuantileImprovement(),
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149 | new MinimalQuantileCriterium(),
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150 | new NeighbourDistance(),
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151 | new PluginExpectedImprovement()
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152 | };
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153 | var cmaes = new OffspringSelectionGeneticAlgorithm.OffspringSelectionGeneticAlgorithm {
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154 | MaximumGenerations = new IntValue(300),
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155 | PopulationSize = new IntValue(50),
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156 | Problem = new DiscreteInfillProblem()
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157 | };
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158 | var model = new GaussianProcessRegression {
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159 | Problem = new RegressionProblem()
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160 | };
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161 | model.CovarianceFunctionParameter.Value = new CovarianceRationalQuadraticIso();
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162 |
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163 | Parameters.Add(new FixedValueParameter<IntValue>(SeedParameterName, "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
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164 | Parameters.Add(new FixedValueParameter<BoolValue>(SetSeedRandomlyParameterName, "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
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165 | Parameters.Add(new FixedValueParameter<MultiTerminator>("Terminator", "The termination criteria that defines if the algorithm should continue or stop.", new MultiTerminator()));
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166 | Parameters.Add(new FixedValueParameter<MultiAnalyzer>(AnalyzerParameterName, "The operator used to analyze the solutions each iteration.", new MultiAnalyzer()));
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167 | Parameters.Add(new FixedValueParameter<IntValue>(InitialEvaluationsParameterName, "The number of random solutions that are evaluated (in parallel) per iteration.", new IntValue(100)));
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168 | Parameters.Add(new ConstrainedValueParameter<IInfillCriterion>(InfillCriterionParameterName, "Decision what value should decide the next sample", criteria, criteria.OfType<ExpectedImprovement>().Single()));
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169 | Parameters.Add(new ValueParameter<IDataAnalysisAlgorithm<IRegressionProblem>>(RegressionAlgorithmParameterName, "The model used to approximate the problem", model));
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170 | Parameters.Add(new ValueParameter<Algorithm>(InfillOptimizationAlgorithmParameterName, "The algorithm used to solve the expected improvement subproblem", cmaes));
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171 | Parameters.Add(new FixedValueParameter<BoolValue>(RemoveDuplicatesParamterName, "Whether (almost) duplicate points in the dataset should be perturbed before evaluation (this greatly increases numerical stability for some model types)", new BoolValue(true)));
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172 | Parameters.Add(new FixedValueParameter<IntValue>("Maximal Model Size", "The maximum number of sample points used to build the model", new IntValue(-1)));
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173 | Parameters.Add(new ValueParameter<IDataset>(InitialDatasetParameterName, "The initial dataset that should be built upon.", new ModifiableDataset()));
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174 | #endregion
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175 |
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176 | #region Create operators
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177 | Operators = new OperatorList();
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178 |
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179 | var randomCreator = new RandomCreator();
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180 | Operators.Add(randomCreator);
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181 | var variableCreator = new VariableCreator { Name = "Initialize Variables" };
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182 | Operators.Add(variableCreator);
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183 | var resultsCollector = new ResultsCollector();
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184 | Operators.Add(resultsCollector);
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185 | var solutionCreator = new SolutionsCreator { Name = "Create Initial Solutions" };
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186 | Operators.Add(solutionCreator);
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187 | var analyzerPlaceholder = new Placeholder { Name = "Analyzer (Placeholder)" };
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188 | Operators.Add(analyzerPlaceholder);
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189 | var evaluationsCounter = new IntCounter { Name = "Increment EvaluatedSolutions" };
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190 | Operators.Add(evaluationsCounter);
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191 | var solutionsCollectorProcessor = new UniformSubScopesProcessor { Name = "Collect Samples to Dataset" };
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192 | Operators.Add(solutionsCollectorProcessor);
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193 | var phaseChecker = new ConditionalBranch { Name = "Inital Samples evaluated?" };
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194 | Operators.Add(phaseChecker);
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195 | var initialPhaseChecker = new Comparator { Name = "Compare Initial Samples to evaluated Solutions" };
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196 | Operators.Add(initialPhaseChecker);
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197 | var modelbuilder = new ModelBuilder { Name = "Build Model" };
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198 | Operators.Add(modelbuilder);
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199 |
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200 | sampleCollector = new DiscreteSampleCollector { Name = "Collect Sample" };
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201 | Operators.Add(sampleCollector);
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202 | infillSolutionsCreator = new SolutionsCreator { Name = "Create Adaptive Solutions" };
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203 | Operators.Add(infillSolutionsCreator);
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204 | infillSolver = new DiscreteInfillSolver();
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205 | Operators.Add(infillSolver);
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206 |
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207 | var subScopesRemover = new SubScopesRemover();
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208 | Operators.Add(subScopesRemover);
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209 | var iterationsCounter = new IntCounter { Name = "Increment Iterations" };
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210 | Operators.Add(iterationsCounter);
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211 | var terminationOperator = new TerminationOperator();
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212 | Operators.Add(terminationOperator);
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213 | #endregion
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214 |
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215 | #region Wire operators
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216 | const string iterationsVariableName = "Iterations";
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217 | const string evaluatedSolutionsVariableName = "EvaluatedSolutions";
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218 | const string datasetVariableName = "SampleSet";
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219 | const string modelVariableName = "Model";
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220 | const string initialPhaseVariableName = "InitialPhase";
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221 | const string infillBoundsVariableName = "InfillBounds";
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222 |
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223 | OperatorGraph.InitialOperator = randomCreator;
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224 |
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225 | randomCreator.SeedParameter.Value = null;
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226 | randomCreator.SeedParameter.ActualName = SeedParameter.Name;
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227 | randomCreator.SetSeedRandomlyParameter.Value = null;
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228 | randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
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229 | randomCreator.Successor = variableCreator;
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230 |
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231 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>(iterationsVariableName, new IntValue(0)));
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232 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>(evaluatedSolutionsVariableName, new IntValue(0)));
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233 | variableCreator.CollectedValues.Add(new ValueParameter<ModifiableDataset>(datasetVariableName, new ModifiableDataset()));
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234 | variableCreator.CollectedValues.Add(new ValueParameter<IRegressionSolution>(modelVariableName, "The regression solution representing the model for EGO", null));
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235 | variableCreator.CollectedValues.Add(new FixedValueParameter<BoolValue>(initialPhaseVariableName, new BoolValue(false)));
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236 | variableCreator.CollectedValues.Add(new ValueParameter<IntMatrix>(infillBoundsVariableName));
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237 | variableCreator.Successor = resultsCollector;
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238 |
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239 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>(iterationsVariableName, "The current iteration number."));
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240 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>(evaluatedSolutionsVariableName, "The current number of evaluated solutions."));
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241 | resultsCollector.CollectedValues.Add(new LookupParameter<ModifiableDataset>(datasetVariableName, "A dataset containing all evaluated solutions"));
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242 | resultsCollector.Successor = phaseChecker;
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243 |
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244 | phaseChecker.ConditionParameter.ActualName = initialPhaseVariableName;
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245 | phaseChecker.FalseBranch = solutionCreator;
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246 | phaseChecker.TrueBranch = modelbuilder;
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247 |
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248 | #region Adaptive Phase
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249 | modelbuilder.DatasetParameter.ActualName = datasetVariableName;
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250 | modelbuilder.ModelParameter.ActualName = modelVariableName;
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251 | modelbuilder.RegressionAlgorithmParameter.ActualName = RegressionAlgorithmParameter.Name;
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252 |
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253 | modelbuilder.Successor = infillSolutionsCreator;
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254 | modelbuilder.MaxModelSizeParameter.ActualName = MaxModelSizeParameter.Name;
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255 |
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256 | infillSolutionsCreator.SolutionCreatorParameter.Value = infillSolver;
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257 | infillSolutionsCreator.Successor = evaluationsCounter;
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258 | infillSolutionsCreator.NumberOfSolutionsParameter.Value = new IntValue(1);
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259 |
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260 | infillSolver.InfillOptimizationAlgorithmParamter.ActualName = InfillOptimizationAlgorithmParameterName;
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261 | infillSolver.ModelParameter.ActualName = modelVariableName;
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262 | infillSolver.RemoveDuplicatesParameter.ActualName = RemoveDuplicatesParameter.Name;
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263 | infillSolver.InfillBoundsParameter.ActualName = infillBoundsVariableName;
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264 | #endregion
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265 |
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266 | #region Initial Phase
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267 | solutionCreator.NumberOfSolutionsParameter.Value = new IntValue(1);
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268 | solutionCreator.ParallelParameter.Value.Value = true;
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269 | solutionCreator.Successor = evaluationsCounter;
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270 | #endregion
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271 |
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272 | evaluationsCounter.ValueParameter.ActualName = evaluatedSolutionsVariableName;
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273 | evaluationsCounter.Increment = null;
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274 | evaluationsCounter.IncrementParameter.Value = new IntValue(1);
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275 | evaluationsCounter.Successor = initialPhaseChecker;
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276 |
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277 | initialPhaseChecker.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
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278 | initialPhaseChecker.LeftSideParameter.ActualName = evaluatedSolutionsVariableName;
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279 | initialPhaseChecker.RightSideParameter.ActualName = InitialEvaluationsParameterName;
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280 | initialPhaseChecker.ResultParameter.ActualName = initialPhaseVariableName;
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281 | initialPhaseChecker.Successor = analyzerPlaceholder;
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282 |
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283 | analyzerPlaceholder.OperatorParameter.ActualName = AnalyzerParameter.Name;
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284 | analyzerPlaceholder.Successor = solutionsCollectorProcessor;
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285 |
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286 | solutionsCollectorProcessor.Operator = sampleCollector;
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287 | solutionsCollectorProcessor.Depth.Value = 1;
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288 | solutionsCollectorProcessor.Successor = subScopesRemover;
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289 |
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290 | sampleCollector.DatasetParameter.ActualName = datasetVariableName;
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291 |
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292 | subScopesRemover.RemoveAllSubScopes = true;
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293 | subScopesRemover.Successor = iterationsCounter;
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294 |
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295 | iterationsCounter.ValueParameter.ActualName = "Iterations";
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296 | iterationsCounter.Increment = new IntValue(1);
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297 | iterationsCounter.Successor = terminationOperator;
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298 |
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299 | terminationOperator.TerminatorParameter.ActualName = TerminatorParameter.Name;
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300 | terminationOperator.ContinueBranch = phaseChecker;
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301 | #endregion
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302 |
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303 | #region Create analyzers
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304 | singleObjectiveQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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305 | Operators.Add(singleObjectiveQualityAnalyzer);
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306 |
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307 | correlationAnalyzer = new DiscreteCorrelationAnalyzer();
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308 | correlationAnalyzer.ModelParameter.ActualName = modelVariableName;
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309 | Operators.Add(correlationAnalyzer);
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310 |
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311 | sampleAnalyzer = new DiscreteEvaluatedSolutionsAnalyzer();
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312 | sampleAnalyzer.PhaseParameter.ActualName = initialPhaseVariableName;
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313 | Operators.Add(sampleAnalyzer);
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314 |
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315 | modelAnalyzer = new ModelQualityAnalyzer();
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316 | modelAnalyzer.ModelParameter.ActualName = modelVariableName;
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317 | Operators.Add(modelAnalyzer);
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318 |
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319 | variabilityAnalyzer = new VariableVariabilityAnalyzer();
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320 | variabilityAnalyzer.DatasetParameter.ActualName = datasetVariableName;
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321 | variabilityAnalyzer.InitialEvaluationsParameter.ActualName = InitialEvaluationsParameter.Name;
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322 | Operators.Add(variabilityAnalyzer);
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323 |
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324 | fitnessClusterAnalyzer = new FitnessClusteringAnalyzer();
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325 | fitnessClusterAnalyzer.DatasetParameter.ActualName = datasetVariableName;
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326 | Operators.Add(fitnessClusterAnalyzer);
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327 | #endregion
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328 |
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329 | #region Create terminators
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330 |
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331 | evaluationsTerminator = new ComparisonTerminator<IntValue>("EvaluatedSolutions", ComparisonType.Less, new IntValue(1000)) { Name = "Evaluated solutions." };
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332 | Operators.Add(evaluationsTerminator);
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333 | qualityTerminator = new SingleObjectiveQualityTerminator { Name = "Quality" };
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334 | Operators.Add(qualityTerminator);
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335 | executionTimeTerminator = new ExecutionTimeTerminator(this, new TimeSpanValue(TimeSpan.FromMinutes(5)));
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336 | Operators.Add(executionTimeTerminator);
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337 | #endregion
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338 |
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339 | #region Parameterize
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340 | UpdateAnalyzers();
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341 | ParameterizeAnalyzers();
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342 | ParameterizeStochasticOperators(Operators);
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343 | UpdateTerminators();
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344 | #endregion
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345 |
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346 | Initialize();
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347 | }
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348 |
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349 | private void Initialize() {
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350 | if (SingleObjectiveProblem != null) {
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351 | SingleObjectiveProblem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
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352 | }
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353 | singleObjectiveQualityAnalyzer.CurrentBestQualityParameter.NameChanged += QualityAnalyzer_CurrentBestQualityParameter_NameChanged;
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354 | RegisterParameterEvents();
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355 | }
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356 | #endregion
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357 |
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358 | public override void Start(CancellationToken cancellationToken) {
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359 | ParameterizeProblemSpecificOperators();
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360 | ((DiscreteInfillProblem)InfillOptimizationAlgorithm.Problem).InfillCriterion = InfillCriterion;
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361 | ParameterizeCancellableOperators(cancellationToken);
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362 | base.Start(cancellationToken);
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363 | }
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364 | public override void Stop() {
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365 | if (InfillOptimizationAlgorithm.ExecutionState == ExecutionState.Started || InfillOptimizationAlgorithm.ExecutionState == ExecutionState.Paused)
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366 | InfillOptimizationAlgorithm.Stop();
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367 | if (RegressionAlgorithm.ExecutionState == ExecutionState.Started || RegressionAlgorithm.ExecutionState == ExecutionState.Paused)
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368 | RegressionAlgorithm.Stop();
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369 | base.Stop();
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370 | }
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371 | public override void Pause() {
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372 | if (InfillOptimizationAlgorithm.ExecutionState == ExecutionState.Started) InfillOptimizationAlgorithm.Pause();
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373 | if (RegressionAlgorithm.ExecutionState == ExecutionState.Started) RegressionAlgorithm.Pause();
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374 | base.Pause();
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375 | }
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376 |
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377 | #region Parameterization
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378 | private void ParameterizeTerminators() {
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379 | if (SingleObjectiveProblem != null)
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380 | qualityTerminator.Parameterize(singleObjectiveQualityAnalyzer.CurrentBestQualityParameter,
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381 | SingleObjectiveProblem);
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382 | }
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383 | private void ParameterizeAnalyzers() {
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384 | foreach (var op in Operators.OfType<IResultsOperator>()) {
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385 | op.ResultsParameter.ActualName = "Results";
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386 | op.ResultsParameter.Hidden = true;
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387 | }
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388 |
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389 | singleObjectiveQualityAnalyzer.ResultsParameter.ActualName = "Results";
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390 | singleObjectiveQualityAnalyzer.ResultsParameter.Hidden = true;
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391 | singleObjectiveQualityAnalyzer.QualityParameter.Depth = 1;
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392 | correlationAnalyzer.QualityParameter.Depth = 1;
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393 | correlationAnalyzer.IntegerVectorParameter.Depth = 1;
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394 | sampleAnalyzer.QualityParameter.Depth = 1;
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395 | sampleAnalyzer.IntegerVectorParameter.Depth = 1;
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396 |
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397 | if (SingleObjectiveProblem == null) return;
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398 | singleObjectiveQualityAnalyzer.MaximizationParameter.ActualName = SingleObjectiveProblem.MaximizationParameter.Name;
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399 | singleObjectiveQualityAnalyzer.MaximizationParameter.Hidden = true;
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400 | singleObjectiveQualityAnalyzer.QualityParameter.ActualName = SingleObjectiveProblem.Evaluator.QualityParameter.ActualName;
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401 | singleObjectiveQualityAnalyzer.QualityParameter.Hidden = true;
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402 | singleObjectiveQualityAnalyzer.BestKnownQualityParameter.ActualName = SingleObjectiveProblem.BestKnownQualityParameter.Name;
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403 | singleObjectiveQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
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404 | correlationAnalyzer.QualityParameter.ActualName = SingleObjectiveProblem.Evaluator.QualityParameter.ActualName;
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405 | correlationAnalyzer.QualityParameter.Hidden = true;
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406 | sampleAnalyzer.QualityParameter.ActualName = SingleObjectiveProblem.Evaluator.QualityParameter.ActualName;
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407 | sampleAnalyzer.QualityParameter.Hidden = true;
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408 | }
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409 | private void ParameterizeSolutionsCreators() {
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410 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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411 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
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412 | infillSolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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413 | ParameterizeStochasticOperators(new[] { SolutionsCreator, infillSolutionsCreator });
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414 | }
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415 | private static void ParameterizeStochasticOperators(IEnumerable<IItem> operators) {
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416 | foreach (var op in operators.OfType<IStochasticOperator>()) {
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417 | op.RandomParameter.ActualName = "Random";
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418 | op.RandomParameter.Hidden = true;
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419 | }
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420 | }
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421 | private void ParameterizeProblemSpecificOperators() {
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422 | if (SingleObjectiveProblem == null) throw new ArgumentException("Adaptive sampling requires a single objective problem");
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423 | infillSolver.MaximizationParameter.ActualName = SingleObjectiveProblem.MaximizationParameter.Name;
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424 | var rcreator = Problem.SolutionCreator as IIntegerVectorCreator;
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425 | if (rcreator == null) throw new ArgumentException("Discrete Adaptive sampling requires integer vectors as solution candidates");
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426 |
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427 | infillSolver.LengthParameter.ActualName = rcreator.LengthParameter.ActualName;
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428 | infillSolver.BoundsParameter.ActualName = rcreator.BoundsParameter.ActualName;
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429 | infillSolver.LengthParameter.Value = rcreator.LengthParameter.Value;
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430 | infillSolver.BoundsParameter.Value = rcreator.BoundsParameter.Value;
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431 | infillSolver.IntegerVectorParameter.ActualName = rcreator.IntegerVectorParameter.ActualName;
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432 |
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433 | sampleCollector.IntegerVectorParameter.ActualName = rcreator.IntegerVectorParameter.ActualName;
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434 | sampleCollector.QualityParameter.ActualName = SingleObjectiveProblem.Evaluator.QualityParameter.ActualName;
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435 |
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436 | correlationAnalyzer.IntegerVectorParameter.ActualName = rcreator.IntegerVectorParameter.ActualName;
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437 | sampleAnalyzer.IntegerVectorParameter.ActualName = rcreator.IntegerVectorParameter.ActualName;
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438 | }
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439 | private void ParameterizeCancellableOperators(CancellationToken cancellation) {
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440 | foreach (var op in Operators.OfType<ICancellableOperator>())
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441 | op.Cancellation = cancellation;
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442 | }
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443 |
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444 | private void UnParameterizeCancellableOperators(CancellationToken cancellation) {
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445 | foreach (var op in Operators.OfType<ICancellableOperator>())
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446 | op.Cancellation = CancellationToken.None;
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447 | }
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448 | #endregion
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449 |
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450 | #region Events
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451 | private void RegisterParameterEvents() {
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452 | InfillOptimizationAlgorithmParameter.ValueChanged += OnInfillAlgorithmChanged;
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453 | InfillOptimizationAlgorithm.ProblemChanged += OnInfillProblemChanged;
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454 | InfillCriterionParameter.ValueChanged += OnInfillCriterionChanged;
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455 | }
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456 | private void OnInfillCriterionChanged(object sender, EventArgs e) {
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457 | ((DiscreteInfillProblem)InfillOptimizationAlgorithm.Problem).InfillCriterion = InfillCriterion;
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458 | }
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459 | private void OnInfillAlgorithmChanged(object sender, EventArgs e) {
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460 | InfillOptimizationAlgorithm.Problem = new DiscreteInfillProblem { InfillCriterion = InfillCriterion };
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461 | InfillOptimizationAlgorithm.ProblemChanged -= OnInfillProblemChanged; //avoid double attaching
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462 | InfillOptimizationAlgorithm.ProblemChanged += OnInfillProblemChanged;
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463 | }
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464 | private void OnInfillProblemChanged(object sender, EventArgs e) {
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465 | //enforce an infill problem for the infill optimization algorithm
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466 | InfillOptimizationAlgorithm.ProblemChanged -= OnInfillProblemChanged;
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467 | InfillOptimizationAlgorithm.Problem = new DiscreteInfillProblem { InfillCriterion = InfillCriterion };
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468 | InfillOptimizationAlgorithm.ProblemChanged += OnInfillProblemChanged;
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469 | }
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470 |
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471 | protected override void OnProblemChanged() {
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472 | base.OnProblemChanged();
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473 | ParameterizeStochasticOperators(Problem.Operators);
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474 | UpdateAnalyzers();
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475 | UpdateTerminators();
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476 | ParameterizeSolutionsCreators();
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477 | if (SingleObjectiveProblem != null)
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478 | SingleObjectiveProblem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
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479 | }
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480 | protected override void RegisterProblemEvents() {
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481 | base.RegisterProblemEvents();
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482 | var maximizationParameter = (IValueParameter<BoolValue>)SingleObjectiveProblem?.MaximizationParameter;
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483 | if (maximizationParameter != null) maximizationParameter.ValueChanged += MaximizationParameter_ValueChanged;
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484 |
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485 | }
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486 | protected override void DeregisterProblemEvents() {
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487 | var maximizationParameter = (IValueParameter<BoolValue>)SingleObjectiveProblem?.MaximizationParameter;
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488 | if (maximizationParameter != null) maximizationParameter.ValueChanged -= MaximizationParameter_ValueChanged;
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489 | base.DeregisterProblemEvents();
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490 | }
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491 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
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492 | base.Problem_SolutionCreatorChanged(sender, e);
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493 | ParameterizeStochasticOperators(Problem.SolutionCreator.ToEnumerable());
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494 | SingleObjectiveProblem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
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495 | ParameterizeSolutionsCreators();
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496 | ParameterizeAnalyzers();
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497 | }
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498 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
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499 | base.Problem_EvaluatorChanged(sender, e);
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500 | ParameterizeStochasticOperators(Problem.Operators);
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501 | ParameterizeSolutionsCreators();
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502 | }
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503 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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504 | base.Problem_OperatorsChanged(sender, e);
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505 | UpdateAnalyzers();
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506 | UpdateTerminators();
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507 | }
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508 | private void MaximizationParameter_ValueChanged(object sender, EventArgs e) {
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509 | ParameterizeAnalyzers();
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510 | ParameterizeTerminators();
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511 | }
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512 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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513 | ParameterizeAnalyzers();
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514 | }
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515 | private void QualityAnalyzer_CurrentBestQualityParameter_NameChanged(object sender, EventArgs e) {
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516 | ParameterizeTerminators();
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517 | }
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518 |
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519 | #endregion
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520 |
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521 | #region Updates
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522 | private void UpdateAnalyzers() {
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523 | Analyzer.Operators.Clear();
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524 | if (SingleObjectiveProblem == null) return;
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525 | foreach (var analyzer in Operators.OfType<IAnalyzer>().Concat(SingleObjectiveProblem.Operators.OfType<IAnalyzer>()))
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526 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
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527 | ParameterizeAnalyzers();
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528 | }
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529 | private void UpdateTerminators() {
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530 | var newTerminators = new Dictionary<ITerminator, bool> {
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531 | {
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532 | evaluationsTerminator,
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533 | !Terminator.Operators.Contains(evaluationsTerminator) ||
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534 | Terminator.Operators.ItemChecked(evaluationsTerminator)
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535 | }, {
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536 | executionTimeTerminator,
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537 | Terminator.Operators.Contains(executionTimeTerminator) &&
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538 | Terminator.Operators.ItemChecked(executionTimeTerminator)
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539 | }
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540 | };
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541 | if (SingleObjectiveProblem != null) {
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542 | newTerminators.Add(qualityTerminator, Terminator.Operators.Contains(qualityTerminator) && Terminator.Operators.ItemChecked(qualityTerminator));
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543 | foreach (var terminator in Problem.Operators.OfType<ITerminator>())
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544 | newTerminators.Add(terminator, !Terminator.Operators.Contains(terminator) || Terminator.Operators.ItemChecked(terminator));
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545 | }
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546 | Terminator.Operators.Clear();
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547 | foreach (var newTerminator in newTerminators)
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548 | Terminator.Operators.Add(newTerminator.Key, newTerminator.Value);
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549 | ParameterizeTerminators();
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550 | }
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551 | #endregion
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552 | }
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553 |
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554 | }
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