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 HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Operators;
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26 | using HeuristicLab.Random;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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29 | using HeuristicLab.Parameters;
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30 | using System.Collections.Generic;
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31 | using System;
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32 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Symbols;
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33 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
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34 | [StorableClass]
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35 | [Item("Variable", "Represents a variable value.")]
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36 | public sealed class Variable : Symbol {
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37 | #region Properties
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38 | [Storable]
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39 | private double weightNu;
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40 | public double WeightNu {
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41 | get { return weightNu; }
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42 | set {
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43 | if (value != weightNu) {
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44 | weightNu = value;
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45 | OnChanged(EventArgs.Empty);
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46 | }
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47 | }
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48 | }
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49 | [Storable]
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50 | private double weightSigma;
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51 | public double WeightSigma {
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52 | get { return weightSigma; }
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53 | set {
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54 | if (weightSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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55 | if (value != weightSigma) {
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56 | weightSigma = value;
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57 | OnChanged(EventArgs.Empty);
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58 | }
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59 | }
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60 | }
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61 | [Storable]
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62 | private double weightManipulatorNu;
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63 | public double WeightManipulatorNu {
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64 | get { return weightManipulatorNu; }
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65 | set {
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66 | if (value != weightManipulatorNu) {
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67 | weightManipulatorNu = value;
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68 | OnChanged(EventArgs.Empty);
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69 | }
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70 | }
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71 | }
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72 | [Storable]
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73 | private double weightManipulatorSigma;
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74 | public double WeightManipulatorSigma {
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75 | get { return weightManipulatorSigma; }
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76 | set {
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77 | if (weightManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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78 | if (value != weightManipulatorSigma) {
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79 | weightManipulatorSigma = value;
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80 | OnChanged(EventArgs.Empty);
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81 | }
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82 | }
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83 | }
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84 | private List<string> variableNames;
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85 | [Storable]
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86 | public IEnumerable<string> VariableNames {
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87 | get { return variableNames; }
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88 | set {
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89 | if (value == null) throw new ArgumentNullException();
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90 | variableNames.Clear();
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91 | variableNames.AddRange(value);
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92 | OnChanged(EventArgs.Empty);
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93 | }
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94 | }
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95 | #endregion
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96 | public Variable()
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97 | : base() {
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98 | weightNu = 1.0;
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99 | weightSigma = 1.0;
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100 | weightManipulatorNu = 0.0;
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101 | weightManipulatorSigma = 1.0;
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102 | variableNames = new List<string>();
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103 | }
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104 |
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105 | public override SymbolicExpressionTreeNode CreateTreeNode() {
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106 | return new VariableTreeNode(this);
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107 | }
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108 |
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109 | public override IDeepCloneable Clone(Cloner cloner) {
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110 | Variable clone = (Variable)base.Clone(cloner);
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111 | clone.weightNu = weightNu;
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112 | clone.weightSigma = weightSigma;
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113 | clone.variableNames = new List<string>(variableNames);
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114 | clone.weightManipulatorNu = weightManipulatorNu;
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115 | clone.weightManipulatorSigma = weightManipulatorSigma;
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116 | return clone;
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117 | }
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118 | }
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119 | }
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