1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2015 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.Drawing;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Common.Resources;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Optimization;
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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.Problems.Programmable {
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32 | [Item("Programmable Problem (multi-objective)", "Represents a multi-objective problem that can be programmed with a script.")]
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33 | [Creatable(CreatableAttribute.Categories.Problems, Priority = 120)]
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34 | [StorableType("92A646BA-B934-4535-9256-8D07F1444A01")]
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35 | public sealed class MultiObjectiveProgrammableProblem : MultiObjectiveBasicProblem<IEncoding>, IProgrammableItem {
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36 | public static new Image StaticItemImage {
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37 | get { return VSImageLibrary.Script; }
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38 | }
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39 |
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40 | private FixedValueParameter<MultiObjectiveProblemDefinitionScript> MultiObjectiveProblemScriptParameter {
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41 | get { return (FixedValueParameter<MultiObjectiveProblemDefinitionScript>)Parameters["ProblemScript"]; }
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42 | }
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43 |
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44 | public MultiObjectiveProblemDefinitionScript ProblemScript {
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45 | get { return MultiObjectiveProblemScriptParameter.Value; }
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46 | }
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47 |
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48 | public IMultiObjectiveProblemDefinition ProblemDefinition {
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49 | get { return MultiObjectiveProblemScriptParameter.Value; }
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50 | }
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51 |
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52 | private MultiObjectiveProgrammableProblem(MultiObjectiveProgrammableProblem original, Cloner cloner)
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53 | : base(original, cloner) {
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54 | RegisterEvents();
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55 | }
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56 | public override IDeepCloneable Clone(Cloner cloner) { return new MultiObjectiveProgrammableProblem(this, cloner); }
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57 |
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58 | [StorableConstructor]
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59 | private MultiObjectiveProgrammableProblem(bool deserializing) : base(deserializing) { }
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60 | public MultiObjectiveProgrammableProblem()
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61 | : base() {
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62 | Parameters.Add(new FixedValueParameter<MultiObjectiveProblemDefinitionScript>("ProblemScript", "Defines the problem.", new MultiObjectiveProblemDefinitionScript() { Name = Name }));
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63 | RegisterEvents();
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64 | }
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65 |
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66 | [StorableHook(HookType.AfterDeserialization)]
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67 | private void AfterDeserialization() {
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68 | RegisterEvents();
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69 | }
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70 |
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71 | private void RegisterEvents() {
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72 | ProblemScript.ProblemDefinitionChanged += (o, e) => OnProblemDefinitionChanged();
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73 | }
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74 |
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75 | private void OnProblemDefinitionChanged() {
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76 | Parameters.Remove("Maximization");
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77 | Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false if the problem should be minimized.", (BoolArray)new BoolArray(Maximization).AsReadOnly()) { Hidden = true });
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78 |
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79 | Encoding = ProblemDefinition.Encoding;
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80 | OnOperatorsChanged();
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81 | OnReset();
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82 | }
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83 |
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84 | public override bool[] Maximization {
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85 | get { return Parameters.ContainsKey("ProblemScript") ? ProblemDefinition.Maximization : new[] { false }; }
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86 | }
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87 |
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88 | public override double[] Evaluate(Individual individual, IRandom random) {
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89 | return ProblemDefinition.Evaluate(individual, random);
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90 | }
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91 |
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92 | public override void Analyze(Individual[] individuals, double[][] qualities, ResultCollection results, IRandom random) {
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93 | ProblemDefinition.Analyze(individuals, qualities, results, random);
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94 | }
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95 | }
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96 | }
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