[10072] | 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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[10073] | 27 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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[10072] | 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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[10073] | 31 | using HeuristicLab.Problems.DataAnalysis;
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| 32 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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[10072] | 33 |
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[10073] | 34 | namespace HeuristicLab.Problems.GrammaticalEvolution {
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[10072] | 35 | [StorableClass]
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[10075] | 36 | public abstract class GESymbolicDataAnalysisSingleObjectiveProblem<T, U, V> : GESymbolicDataAnalysisProblem<T, U, V>,
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| 37 | ISymbolicDataAnalysisSingleObjectiveProblem
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| 38 | where T : class, IDataAnalysisProblemData
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[10073] | 39 | where U : class, IGESymbolicDataAnalysisSingleObjectiveEvaluator<T>
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| 40 | where V : class, IIntegerVectorCreator {
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[10072] | 41 | private const string MaximizationParameterName = "Maximization";
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| 42 | private const string BestKnownQualityParameterName = "BestKnownQuality";
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| 43 |
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| 44 | #region parameter properties
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| 45 | public IFixedValueParameter<BoolValue> MaximizationParameter {
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| 46 | get { return (IFixedValueParameter<BoolValue>)Parameters[MaximizationParameterName]; }
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| 47 | }
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| 48 | IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
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| 49 | get { return MaximizationParameter; }
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| 50 | }
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| 51 | public IFixedValueParameter<DoubleValue> BestKnownQualityParameter {
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| 52 | get { return (IFixedValueParameter<DoubleValue>)Parameters[BestKnownQualityParameterName]; }
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| 53 | }
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| 54 | IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
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| 55 | get { return BestKnownQualityParameter; }
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| 56 | }
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| 57 | #endregion
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| 58 |
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| 59 | #region properties
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| 60 | public BoolValue Maximization {
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| 61 | get { return MaximizationParameter.Value; }
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| 62 | }
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| 63 | public DoubleValue BestKnownQuality {
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| 64 | get { return BestKnownQualityParameter.Value; }
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| 65 | }
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| 66 | ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator {
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| 67 | get { return Evaluator; }
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| 68 | }
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| 69 | #endregion
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| 70 |
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| 71 | [StorableConstructor]
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[10073] | 72 | protected GESymbolicDataAnalysisSingleObjectiveProblem(bool deserializing) : base(deserializing) { }
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| 73 | protected GESymbolicDataAnalysisSingleObjectiveProblem(GESymbolicDataAnalysisSingleObjectiveProblem<T, U, V> original, Cloner cloner)
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[10072] | 74 | : base(original, cloner) {
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| 75 | RegisterEventHandler();
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| 76 | MaximizationParameter.Hidden = true;
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| 77 | }
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| 78 |
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[10073] | 79 | public GESymbolicDataAnalysisSingleObjectiveProblem(T problemData, U evaluator, V solutionCreator)
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[10072] | 80 | : base(problemData, evaluator, solutionCreator) {
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| 81 | Parameters.Add(new FixedValueParameter<BoolValue>(MaximizationParameterName, "Set to false if the problem should be minimized."));
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| 82 | Parameters.Add(new FixedValueParameter<DoubleValue>(BestKnownQualityParameterName, "The quality of the best known solution of this problem."));
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| 83 |
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| 84 | MaximizationParameter.Hidden = true;
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| 85 | InitializeOperators();
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| 86 | RegisterEventHandler();
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| 87 | }
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| 88 |
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| 89 | [StorableHook(HookType.AfterDeserialization)]
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| 90 | private void AfterDeserialization() {
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| 91 | RegisterEventHandler();
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| 92 | }
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| 93 |
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| 94 | private void InitializeOperators() {
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| 95 | Operators.Add(new SymbolicDataAnalysisAlleleFrequencyAnalyzer());
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| 96 | ParameterizeOperators();
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| 97 | }
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| 98 |
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| 99 | private void RegisterEventHandler() {
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| 100 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(QualityParameter_ActualNameChanged);
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| 101 | }
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| 102 |
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| 103 | protected override void OnEvaluatorChanged() {
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| 104 | base.OnEvaluatorChanged();
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| 105 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(QualityParameter_ActualNameChanged);
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| 106 | Maximization.Value = base.Evaluator.Maximization;
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| 107 | ParameterizeOperators();
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| 108 | }
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| 109 |
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| 110 | private void QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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| 111 | ParameterizeOperators();
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| 112 | }
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| 113 |
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| 114 | protected override void ParameterizeOperators() {
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| 115 | base.ParameterizeOperators();
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| 116 |
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| 117 | foreach (var op in Operators.OfType<ISymbolicDataAnalysisSingleObjectiveAnalyzer>()) {
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| 118 | op.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
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| 119 | op.MaximizationParameter.ActualName = MaximizationParameterName;
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| 120 | }
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| 121 | }
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| 122 | }
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| 123 | }
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