1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 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.Parameters;
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29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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30 |
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31 | namespace HeuristicLab.Optimization {
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32 | [StorableClass]
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33 | public abstract class MultiObjectiveBasicProblem<TEncoding> : BasicProblem<TEncoding, MultiObjectiveEvaluator>, IMultiObjectiveHeuristicOptimizationProblem, IMultiObjectiveProblemDefinition
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34 | where TEncoding : class, IEncoding {
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35 | [StorableConstructor]
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36 | protected MultiObjectiveBasicProblem(bool deserializing) : base(deserializing) { }
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37 |
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38 | protected MultiObjectiveBasicProblem(MultiObjectiveBasicProblem<TEncoding> original, Cloner cloner)
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39 | : base(original, cloner) {
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40 | ParameterizeOperators();
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41 | }
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42 |
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43 | protected MultiObjectiveBasicProblem()
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44 | : base() {
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45 | Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false if the problem should be minimized.", (BoolArray)new BoolArray(Maximization).AsReadOnly()));
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46 |
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47 | Operators.Add(Evaluator);
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48 | Operators.Add(new MultiObjectiveAnalyzer());
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49 |
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50 | ParameterizeOperators();
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51 | }
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52 |
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53 | [StorableHook(HookType.AfterDeserialization)]
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54 | private void AfterDeserialization() {
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55 | ParameterizeOperators();
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56 | }
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57 |
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58 | public abstract bool[] Maximization { get; }
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59 | public abstract double[] Evaluate(Individual individual, IRandom random);
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60 | public virtual void Analyze(Individual[] individuals, double[][] qualities, ResultCollection results, IRandom random) { }
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61 |
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62 | protected override void OnOperatorsChanged() {
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63 | base.OnOperatorsChanged();
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64 | if (Encoding != null) {
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65 | PruneSingleObjectiveOperators(Encoding);
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66 | var multiEncoding = Encoding as MultiEncoding;
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67 | if (multiEncoding != null) {
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68 | foreach (var encoding in multiEncoding.Encodings.ToList()) {
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69 | PruneSingleObjectiveOperators(encoding);
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70 | }
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71 | }
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72 | }
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73 | }
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74 |
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75 | private void PruneSingleObjectiveOperators(IEncoding encoding) {
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76 | if (encoding != null && encoding.Operators.Any(x => x is ISingleObjectiveOperator && !(x is IMultiObjectiveOperator)))
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77 | encoding.Operators = encoding.Operators.Where(x => !(x is ISingleObjectiveOperator) || x is IMultiObjectiveOperator).ToList();
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78 |
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79 | foreach (var multiOp in Encoding.Operators.OfType<IMultiOperator>()) {
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80 | foreach (var soOp in multiOp.Operators.Where(x => x is ISingleObjectiveOperator).ToList()) {
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81 | multiOp.RemoveOperator(soOp);
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82 | }
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83 | }
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84 | }
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85 |
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86 | protected override void OnEvaluatorChanged() {
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87 | base.OnEvaluatorChanged();
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88 | ParameterizeOperators();
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89 | }
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90 |
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91 | private void ParameterizeOperators() {
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92 | foreach (var op in Operators.OfType<IMultiObjectiveEvaluationOperator>())
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93 | op.EvaluateFunc = Evaluate;
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94 | foreach (var op in Operators.OfType<IMultiObjectiveAnalysisOperator>())
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95 | op.AnalyzeAction = Analyze;
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96 | }
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97 |
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98 |
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99 | #region IMultiObjectiveHeuristicOptimizationProblem Members
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100 | IParameter IMultiObjectiveHeuristicOptimizationProblem.MaximizationParameter {
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101 | get { return Parameters["Maximization"]; }
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102 | }
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103 | IMultiObjectiveEvaluator IMultiObjectiveHeuristicOptimizationProblem.Evaluator {
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104 | get { return Evaluator; }
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105 | }
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106 | #endregion
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107 | }
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108 | }
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