1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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 System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.Optimization;
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29 | using HeuristicLab.Parameters;
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30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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31 | using HeuristicLab.PluginInfrastructure;
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32 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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33 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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34 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ArchitectureManipulators;
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35 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Manipulators;
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36 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Crossovers;
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37 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Creators;
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38 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Interfaces;
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39 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Analyzers;
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40 | using HeuristicLab.Problems.DataAnalysis.MultiVariate.TimeSeriesPrognosis.Symbolic.Interfaces;
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41 |
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42 | namespace HeuristicLab.Problems.DataAnalysis.MultiVariate.TimeSeriesPrognosis.Symbolic {
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43 | [Item("Symbolic Time Series Prognosis Problem", "Represents a symbolic time series prognosis problem.")]
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44 | [StorableClass]
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45 | public class SymbolicTimeSeriesPrognosisProblem : MultiVariateDataAnalysisProblem, IProblem {
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46 |
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47 | #region Parameter Properties
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48 | public ValueParameter<SymbolicExpressionTreeCreator> SolutionCreatorParameter {
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49 | get { return (ValueParameter<SymbolicExpressionTreeCreator>)Parameters["SolutionCreator"]; }
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50 | }
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51 | IParameter IProblem.SolutionCreatorParameter {
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52 | get { return SolutionCreatorParameter; }
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53 | }
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54 | public ValueParameter<ISymbolicTimeSeriesExpressionInterpreter> SymbolicExpressionTreeInterpreterParameter {
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55 | get { return (ValueParameter<ISymbolicTimeSeriesExpressionInterpreter>)Parameters["SymbolicExpressionTreeInterpreter"]; }
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56 | }
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57 | public ValueParameter<ISymbolicExpressionGrammar> FunctionTreeGrammarParameter {
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58 | get { return (ValueParameter<ISymbolicExpressionGrammar>)Parameters["FunctionTreeGrammar"]; }
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59 | }
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60 | public ValueParameter<IntValue> MaxExpressionLengthParameter {
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61 | get { return (ValueParameter<IntValue>)Parameters["MaxExpressionLength"]; }
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62 | }
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63 | public ValueParameter<IntValue> MaxExpressionDepthParameter {
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64 | get { return (ValueParameter<IntValue>)Parameters["MaxExpressionDepth"]; }
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65 | }
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66 | public ValueParameter<IntValue> MaxFunctionDefiningBranchesParameter {
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67 | get { return (ValueParameter<IntValue>)Parameters["MaxFunctionDefiningBranches"]; }
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68 | }
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69 | public ValueParameter<IntValue> MaxFunctionArgumentsParameter {
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70 | get { return (ValueParameter<IntValue>)Parameters["MaxFunctionArguments"]; }
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71 | }
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72 | public ValueParameter<IntValue> PredictionHorizonParameter {
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73 | get { return (ValueParameter<IntValue>)Parameters["PredictionHorizon"]; }
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74 | }
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75 | public ValueParameter<DoubleArray> UpperEstimationLimitParameter {
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76 | get { return (ValueParameter<DoubleArray>)Parameters["UpperEstimationLimit"]; }
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77 | }
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78 | public ValueParameter<DoubleArray> LowerEstimationLimitParameter {
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79 | get { return (ValueParameter<DoubleArray>)Parameters["LowerEstimationLimit"]; }
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80 | }
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81 | #endregion
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82 |
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83 | #region Properties
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84 | public IntValue MaxExpressionLength {
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85 | get { return MaxExpressionLengthParameter.Value; }
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86 | set { MaxExpressionLengthParameter.Value = value; }
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87 | }
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88 | public IntValue MaxExpressionDepth {
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89 | get { return MaxExpressionDepthParameter.Value; }
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90 | set { MaxExpressionDepthParameter.Value = value; }
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91 | }
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92 | public IntValue MaxFunctionDefiningBranches {
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93 | get { return MaxFunctionDefiningBranchesParameter.Value; }
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94 | set { MaxFunctionDefiningBranchesParameter.Value = value; }
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95 | }
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96 | public IntValue MaxFunctionArguments {
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97 | get { return MaxFunctionArgumentsParameter.Value; }
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98 | set { MaxFunctionArgumentsParameter.Value = value; }
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99 | }
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100 | public DoubleArray UpperEstimationLimit {
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101 | get { return UpperEstimationLimitParameter.Value; }
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102 | set { UpperEstimationLimitParameter.Value = value; }
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103 | }
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104 | public DoubleArray LowerEstimationLimit {
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105 | get { return LowerEstimationLimitParameter.Value; }
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106 | set { LowerEstimationLimitParameter.Value = value; }
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107 | }
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108 | public new SymbolicExpressionTreeCreator SolutionCreator {
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109 | get { return SolutionCreatorParameter.Value; }
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110 | set { SolutionCreatorParameter.Value = value; }
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111 | }
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112 | ISolutionCreator IProblem.SolutionCreator {
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113 | get { return SolutionCreatorParameter.Value; }
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114 | }
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115 | public ISymbolicTimeSeriesExpressionInterpreter SymbolicExpressionTreeInterpreter {
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116 | get { return SymbolicExpressionTreeInterpreterParameter.Value; }
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117 | set { SymbolicExpressionTreeInterpreterParameter.Value = value; }
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118 | }
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119 |
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120 | public ISymbolicExpressionGrammar FunctionTreeGrammar {
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121 | get { return (ISymbolicExpressionGrammar)FunctionTreeGrammarParameter.Value; }
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122 | set { FunctionTreeGrammarParameter.Value = value; }
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123 | }
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124 | public override IEnumerable<IOperator> Operators {
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125 | get { return operators; }
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126 | }
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127 | public IEnumerable<IAnalyzer> Analyzers {
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128 | get { return operators.OfType<IAnalyzer>(); }
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129 | }
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130 | public IntValue TrainingSamplesStart {
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131 | get { return new IntValue(MultiVariateDataAnalysisProblemData.TrainingSamplesStart.Value); }
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132 | }
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133 | public IntValue TrainingSamplesEnd {
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134 | get {
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135 | return new IntValue((MultiVariateDataAnalysisProblemData.TrainingSamplesStart.Value +
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136 | MultiVariateDataAnalysisProblemData.TrainingSamplesEnd.Value) / 2);
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137 | }
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138 | }
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139 | public IntValue ValidationSamplesStart {
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140 | get { return TrainingSamplesEnd; }
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141 | }
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142 | public IntValue ValidationSamplesEnd {
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143 | get { return new IntValue(MultiVariateDataAnalysisProblemData.TrainingSamplesEnd.Value); }
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144 | }
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145 | public IntValue TestSamplesStart {
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146 | get { return MultiVariateDataAnalysisProblemData.TestSamplesStart; }
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147 | }
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148 | public IntValue TestSamplesEnd {
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149 | get { return MultiVariateDataAnalysisProblemData.TestSamplesEnd; }
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150 | }
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151 | public DoubleValue PunishmentFactor {
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152 | get { return new DoubleValue(10.0); }
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153 | }
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154 | #endregion
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155 |
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156 | [Storable]
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157 | private SymbolicTimeSeriesPrognosisGrammar grammar;
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158 | [Storable]
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159 | private List<IOperator> operators;
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160 |
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161 | [StorableConstructor]
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162 | protected SymbolicTimeSeriesPrognosisProblem(bool deserializing) : base(deserializing) { }
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163 | public SymbolicTimeSeriesPrognosisProblem()
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164 | : base() {
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165 | SymbolicExpressionTreeCreator creator = new ProbabilisticTreeCreator();
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166 | grammar = new SymbolicTimeSeriesPrognosisGrammar(1);
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167 | var globalGrammar = new GlobalSymbolicExpressionGrammar(grammar);
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168 | var interpreter = new SymbolicTimeSeriesExpressionInterpreter();
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169 | Parameters.Add(new ValueParameter<SymbolicExpressionTreeCreator>("SolutionCreator", "The operator which should be used to create new symbolic time series prognosis solutions.", creator));
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170 | Parameters.Add(new ValueParameter<ISymbolicTimeSeriesExpressionInterpreter>("SymbolicExpressionTreeInterpreter", "The interpreter that should be used to evaluate the symbolic expression tree.", interpreter));
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171 | Parameters.Add(new ValueParameter<ISymbolicExpressionGrammar>("FunctionTreeGrammar", "The grammar that should be used for symbolic time series prognosis models.", globalGrammar));
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172 | Parameters.Add(new ValueParameter<IntValue>("MaxExpressionLength", "Maximal length of the symbolic expression.", new IntValue(100)));
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173 | Parameters.Add(new ValueParameter<IntValue>("MaxExpressionDepth", "Maximal depth of the symbolic expression.", new IntValue(10)));
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174 | Parameters.Add(new ValueParameter<IntValue>("MaxFunctionDefiningBranches", "Maximal number of automatically defined functions.", (IntValue)new IntValue(0).AsReadOnly()));
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175 | Parameters.Add(new ValueParameter<IntValue>("MaxFunctionArguments", "Maximal number of arguments of automatically defined functions.", (IntValue)new IntValue(0).AsReadOnly()));
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176 | Parameters.Add(new ValueParameter<IntValue>("PredictionHorizon", "The number of time steps for which to create a forecast.", new IntValue(1)));
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177 | Parameters.Add(new ValueParameter<DoubleArray>("UpperEstimationLimit", "The upper limit for the estimated values for each component."));
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178 | Parameters.Add(new ValueParameter<DoubleArray>("LowerEstimationLimit", "The lower limit for the estimated values for each component."));
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179 | creator.SymbolicExpressionTreeParameter.ActualName = "SymbolicTimeSeriesPrognosisModel";
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180 |
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181 | ParameterizeSolutionCreator();
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182 |
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183 | UpdateGrammar();
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184 | InitializeOperators();
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185 | RegisterParameterEvents();
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186 | RegisterParameterValueEvents();
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187 | }
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188 |
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189 | [StorableHook(HookType.AfterDeserialization)]
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190 | private void AfterDeserializationHook() {
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191 | // BackwardsCompatibility3.3
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192 | #region Backwards compatible code (remove with 3.4)
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193 | if (operators == null) InitializeOperators();
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194 | #endregion
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195 | RegisterParameterEvents();
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196 | RegisterParameterValueEvents();
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197 | }
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198 |
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199 | public override IDeepCloneable Clone(Cloner cloner) {
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200 | SymbolicTimeSeriesPrognosisProblem clone = (SymbolicTimeSeriesPrognosisProblem)base.Clone(cloner);
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201 | clone.operators = operators.Select(x => (IOperator)cloner.Clone(x)).ToList();
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202 | clone.grammar = (SymbolicTimeSeriesPrognosisGrammar)cloner.Clone(grammar);
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203 | clone.RegisterParameterEvents();
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204 | clone.RegisterParameterValueEvents();
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205 | return clone;
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206 | }
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207 |
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208 | private void RegisterParameterValueEvents() {
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209 | MaxFunctionArgumentsParameter.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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210 | MaxFunctionDefiningBranchesParameter.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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211 | SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
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212 | }
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213 |
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214 | private void RegisterParameterEvents() {
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215 | MaxFunctionArgumentsParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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216 | MaxFunctionDefiningBranchesParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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217 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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218 | }
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219 |
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220 | #region event handling
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221 | protected override void OnMultiVariateDataAnalysisProblemChanged(EventArgs e) {
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222 | base.OnMultiVariateDataAnalysisProblemChanged(e);
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223 | // input variables could have been changed
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224 | UpdateGrammar();
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225 | UpdateEstimationLimits();
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226 | }
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227 | protected virtual void OnArchitectureParameterChanged(EventArgs e) {
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228 | UpdateGrammar();
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229 | }
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230 | protected virtual void OnGrammarChanged(EventArgs e) { }
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231 | protected virtual void OnOperatorsChanged(EventArgs e) { RaiseOperatorsChanged(e); }
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232 | protected virtual void OnSolutionCreatorChanged(EventArgs e) {
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233 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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234 | ParameterizeSolutionCreator();
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235 | OnSolutionParameterNameChanged(e);
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236 | RaiseSolutionCreatorChanged(e);
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237 | }
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238 |
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239 | protected virtual void OnSolutionParameterNameChanged(EventArgs e) {
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240 | ParameterizeOperators();
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241 | }
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242 | #endregion
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243 |
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244 | #region event handlers
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245 | private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
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246 | OnSolutionCreatorChanged(e);
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247 | }
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248 | private void SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged(object sender, EventArgs e) {
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249 | OnSolutionParameterNameChanged(e);
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250 | }
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251 | private void ArchitectureParameter_ValueChanged(object sender, EventArgs e) {
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252 | MaxFunctionArgumentsParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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253 | MaxFunctionDefiningBranchesParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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254 | OnArchitectureParameterChanged(e);
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255 | }
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256 | private void ArchitectureParameterValue_ValueChanged(object sender, EventArgs e) {
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257 | OnArchitectureParameterChanged(e);
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258 | }
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259 | #endregion
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260 |
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261 | #region Helpers
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262 | protected void AddOperator(IOperator op) {
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263 | operators.Add(op);
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264 | }
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265 |
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266 | private void UpdateGrammar() {
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267 | var selectedTargetVariables = MultiVariateDataAnalysisProblemData.TargetVariables.CheckedItems;
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268 | grammar.SetResultProducingBranches(selectedTargetVariables.Count());
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269 |
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270 | foreach (var varSymbol in grammar.Symbols.OfType<HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols.Variable>()) {
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271 | varSymbol.VariableNames = MultiVariateDataAnalysisProblemData.InputVariables.CheckedItems.Select(x => x.Value.Value);
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272 | }
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273 |
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274 | var globalGrammar = new GlobalSymbolicExpressionGrammar(grammar);
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275 | globalGrammar.MaxFunctionArguments = MaxFunctionArguments.Value;
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276 | globalGrammar.MaxFunctionDefinitions = MaxFunctionDefiningBranches.Value;
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277 | FunctionTreeGrammar = globalGrammar;
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278 | }
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279 | private void UpdateEstimationLimits() {
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280 | IEnumerable<string> selectedTargetVariables = MultiVariateDataAnalysisProblemData.TargetVariables.CheckedItems.Select(x => x.Value.Value);
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281 | UpperEstimationLimit = new DoubleArray(selectedTargetVariables.Count());
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282 | LowerEstimationLimit = new DoubleArray(selectedTargetVariables.Count());
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283 | int i = 0;
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284 | foreach (string targetVariable in selectedTargetVariables) {
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285 | if (TrainingSamplesStart.Value < TrainingSamplesEnd.Value) {
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286 | var targetValues = MultiVariateDataAnalysisProblemData.Dataset.GetVariableValues(targetVariable, TrainingSamplesStart.Value, TrainingSamplesEnd.Value);
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287 | var mean = targetValues.Average();
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288 | var range = targetValues.Max() - targetValues.Min();
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289 | UpperEstimationLimit[i] = mean + PunishmentFactor.Value * range;
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290 | LowerEstimationLimit[i] = mean - PunishmentFactor.Value * range;
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291 | } else {
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292 | UpperEstimationLimit[i] = 0;
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293 | LowerEstimationLimit[i] = 0;
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294 | }
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295 | i++;
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296 | }
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297 | }
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298 |
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299 | private void InitializeOperators() {
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300 | operators = new List<IOperator>();
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301 | operators.AddRange(ApplicationManager.Manager.GetInstances<ISymbolicExpressionTreeOperator>().OfType<IOperator>());
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302 | operators.Add(new MinAverageMaxSymbolicExpressionTreeSizeAnalyzer());
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303 | ParameterizeOperators();
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304 | }
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305 |
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306 | private void ParameterizeSolutionCreator() {
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307 | SolutionCreator.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
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308 | SolutionCreator.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
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309 | SolutionCreator.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
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310 | SolutionCreator.MaxFunctionArgumentsParameter.ActualName = MaxFunctionArgumentsParameter.Name;
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311 | SolutionCreator.MaxFunctionDefinitionsParameter.ActualName = MaxFunctionDefiningBranchesParameter.Name;
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312 | }
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313 |
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314 | private void ParameterizeOperators() {
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315 | foreach (ISymbolicExpressionTreeOperator op in Operators.OfType<ISymbolicExpressionTreeOperator>()) {
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316 | op.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
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317 | op.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
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318 | op.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
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319 | }
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320 | foreach (ISymbolicExpressionTreeCrossover op in Operators.OfType<ISymbolicExpressionTreeCrossover>()) {
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321 | op.ParentsParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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322 | op.ChildParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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323 | }
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324 | foreach (ISymbolicExpressionTreeManipulator op in Operators.OfType<ISymbolicExpressionTreeManipulator>()) {
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325 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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326 | }
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327 | foreach (ISymbolicExpressionTreeArchitectureManipulator op in Operators.OfType<ISymbolicExpressionTreeArchitectureManipulator>()) {
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328 | op.MaxFunctionArgumentsParameter.ActualName = MaxFunctionArgumentsParameter.Name;
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329 | op.MaxFunctionDefinitionsParameter.ActualName = MaxFunctionDefiningBranchesParameter.Name;
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330 | }
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331 | }
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332 | #endregion
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333 | }
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334 | }
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