1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2013 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.Linq;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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28 | using HeuristicLab.EvolutionTracking;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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32 |
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33 | using TGraph = HeuristicLab.EvolutionTracking.IGenealogyGraph<HeuristicLab.EvolutionTracking.GenealogyGraphNode<HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ISymbolicExpressionTree>,
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34 | HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ISymbolicExpressionTree>;
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35 | using TVertex = HeuristicLab.EvolutionTracking.GenealogyGraphNode<HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ISymbolicExpressionTree>;
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36 |
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37 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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38 | [StorableClass]
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39 | public abstract class SymbolicDataAnalysisSingleObjectiveProblem<T, U, V> : SymbolicDataAnalysisProblem<T, U, V>, ISymbolicDataAnalysisSingleObjectiveProblem
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40 | where T : class,IDataAnalysisProblemData
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41 | where U : class, ISymbolicDataAnalysisSingleObjectiveEvaluator<T>
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42 | where V : class, ISymbolicDataAnalysisSolutionCreator {
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43 | private const string MaximizationParameterName = "Maximization";
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44 | private const string BestKnownQualityParameterName = "BestKnownQuality";
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45 |
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46 | #region parameter properties
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47 | public IFixedValueParameter<BoolValue> MaximizationParameter {
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48 | get { return (IFixedValueParameter<BoolValue>)Parameters[MaximizationParameterName]; }
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49 | }
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50 | IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
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51 | get { return MaximizationParameter; }
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52 | }
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53 | public IFixedValueParameter<DoubleValue> BestKnownQualityParameter {
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54 | get { return (IFixedValueParameter<DoubleValue>)Parameters[BestKnownQualityParameterName]; }
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55 | }
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56 | IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
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57 | get { return BestKnownQualityParameter; }
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58 | }
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59 | #endregion
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60 |
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61 | #region properties
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62 | public BoolValue Maximization {
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63 | get { return MaximizationParameter.Value; }
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64 | }
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65 | public DoubleValue BestKnownQuality {
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66 | get { return BestKnownQualityParameter.Value; }
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67 | }
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68 | ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator {
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69 | get { return Evaluator; }
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70 | }
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71 | #endregion
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72 |
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73 | [StorableConstructor]
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74 | protected SymbolicDataAnalysisSingleObjectiveProblem(bool deserializing) : base(deserializing) { }
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75 | protected SymbolicDataAnalysisSingleObjectiveProblem(SymbolicDataAnalysisSingleObjectiveProblem<T, U, V> original, Cloner cloner)
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76 | : base(original, cloner) {
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77 | RegisterEventHandler();
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78 | MaximizationParameter.Hidden = true;
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79 | }
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80 |
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81 | public SymbolicDataAnalysisSingleObjectiveProblem(T problemData, U evaluator, V solutionCreator)
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82 | : base(problemData, evaluator, solutionCreator) {
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83 | Parameters.Add(new FixedValueParameter<BoolValue>(MaximizationParameterName, "Set to false if the problem should be minimized."));
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84 | Parameters.Add(new FixedValueParameter<DoubleValue>(BestKnownQualityParameterName, "The quality of the best known solution of this problem."));
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85 |
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86 | MaximizationParameter.Hidden = true;
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87 | InitializeOperators();
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88 | RegisterEventHandler();
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89 | }
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90 |
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91 | [StorableHook(HookType.AfterDeserialization)]
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92 | private void AfterDeserialization() {
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93 | RegisterEventHandler();
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94 | }
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95 |
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96 | private void InitializeOperators() {
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97 | Operators.Add(new SymbolicDataAnalysisAlleleFrequencyAnalyzer());
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98 | ParameterizeOperators();
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99 | }
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100 |
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101 | private void RegisterEventHandler() {
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102 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(QualityParameter_ActualNameChanged);
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103 | }
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104 |
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105 | protected override void OnEvaluatorChanged() {
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106 | base.OnEvaluatorChanged();
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107 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(QualityParameter_ActualNameChanged);
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108 | Maximization.Value = base.Evaluator.Maximization;
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109 | ParameterizeOperators();
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110 | }
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111 |
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112 | private void QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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113 | ParameterizeOperators();
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114 | }
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115 |
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116 | protected override void ParameterizeOperators() {
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117 | base.ParameterizeOperators();
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118 |
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119 | foreach (var op in Operators.OfType<ISymbolicDataAnalysisSingleObjectiveAnalyzer>()) {
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120 | op.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
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121 | op.MaximizationParameter.ActualName = MaximizationParameterName;
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122 | }
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123 |
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124 | foreach (var op in Operators.OfType<GenealogyAnalyzer<TGraph, TVertex, ISymbolicExpressionTree>>()) {
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125 | op.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
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126 | op.PopulationParameter.ActualName = Evaluator.SymbolicExpressionTreeParameter.ActualName;
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127 | }
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128 | }
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129 | }
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130 | }
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