[11740] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16723] | 3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[11740] | 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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[11961] | 22 | using System.Drawing;
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[16725] | 23 | using HEAL.Attic;
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[11740] | 24 | using HeuristicLab.Common;
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[11961] | 25 | using HeuristicLab.Common.Resources;
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[11740] | 26 | using HeuristicLab.Core;
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[11996] | 27 | using HeuristicLab.Data;
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[11740] | 28 | using HeuristicLab.Optimization;
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| 29 | using HeuristicLab.Parameters;
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[13350] | 30 | using HeuristicLab.Scripting;
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[11740] | 31 |
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[11753] | 32 | namespace HeuristicLab.Problems.Programmable {
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[11814] | 33 | [Item("Programmable Problem (multi-objective)", "Represents a multi-objective problem that can be programmed with a script.")]
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[12504] | 34 | [Creatable(CreatableAttribute.Categories.Problems, Priority = 120)]
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[16723] | 35 | [StorableType("1AA24077-4E1E-4FAE-8EC8-B6008DFD30B9")]
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[16751] | 36 | public class MultiObjectiveProgrammableProblem<TEncoding, TEncodedSolution> : MultiObjectiveProblem<TEncoding, TEncodedSolution>, IProgrammableItem, IProgrammableProblem
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| 37 | where TEncoding : class, IEncoding<TEncodedSolution>
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| 38 | where TEncodedSolution : class, IEncodedSolution {
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[13350] | 39 | protected static readonly string ENCODING_NAMESPACE = "ENCODING_NAMESPACE";
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| 40 | protected static readonly string ENCODING_CLASS = "ENCODING_CLASS";
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| 41 | protected static readonly string SOLUTION_CLASS = "SOLUTION_CLASS";
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| 42 |
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[11961] | 43 | public static new Image StaticItemImage {
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| 44 | get { return VSImageLibrary.Script; }
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| 45 | }
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[11740] | 46 |
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[16751] | 47 | private FixedValueParameter<MultiObjectiveProblemDefinitionScript<TEncoding, TEncodedSolution>> MultiObjectiveProblemScriptParameter {
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| 48 | get { return (FixedValueParameter<MultiObjectiveProblemDefinitionScript<TEncoding, TEncodedSolution>>)Parameters["ProblemScript"]; }
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[11740] | 49 | }
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| 50 |
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[13350] | 51 | Script IProgrammableProblem.ProblemScript {
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| 52 | get { return ProblemScript; }
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| 53 | }
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[16751] | 54 | public MultiObjectiveProblemDefinitionScript<TEncoding, TEncodedSolution> ProblemScript {
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[11740] | 55 | get { return MultiObjectiveProblemScriptParameter.Value; }
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| 56 | }
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| 57 |
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[16751] | 58 | public IMultiObjectiveProblemDefinition<TEncoding, TEncodedSolution> ProblemDefinition {
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[11740] | 59 | get { return MultiObjectiveProblemScriptParameter.Value; }
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| 60 | }
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| 61 |
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[13390] | 62 | [StorableConstructor]
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[16725] | 63 | protected MultiObjectiveProgrammableProblem(StorableConstructorFlag _) : base(_) { }
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[16751] | 64 | protected MultiObjectiveProgrammableProblem(MultiObjectiveProgrammableProblem<TEncoding, TEncodedSolution> original, Cloner cloner)
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[11740] | 65 | : base(original, cloner) {
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| 66 | RegisterEvents();
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| 67 | }
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[13422] | 68 |
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| 69 | public override IDeepCloneable Clone(Cloner cloner) {
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[16751] | 70 | return new MultiObjectiveProgrammableProblem<TEncoding, TEncodedSolution>(this, cloner);
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[13422] | 71 | }
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| 72 |
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[11814] | 73 | public MultiObjectiveProgrammableProblem()
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[11740] | 74 | : base() {
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[16751] | 75 | Parameters.Add(new FixedValueParameter<MultiObjectiveProblemDefinitionScript<TEncoding, TEncodedSolution>>("ProblemScript", "Defines the problem.",
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| 76 | new MultiObjectiveProblemDefinitionScript<TEncoding, TEncodedSolution>() { Name = Name }));
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[13382] | 77 | ProblemScript.Encoding = (TEncoding)Encoding.Clone();
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[13422] | 78 |
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| 79 | var codeTemplate = ScriptTemplates.MultiObjectiveProblem_Template;
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| 80 | codeTemplate = codeTemplate.Replace(ENCODING_NAMESPACE, typeof(TEncoding).Namespace);
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| 81 | codeTemplate = codeTemplate.Replace(ENCODING_CLASS, typeof(TEncoding).Name);
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[16751] | 82 | codeTemplate = codeTemplate.Replace(SOLUTION_CLASS, typeof(TEncodedSolution).Name);
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[13422] | 83 | ProblemScript.Code = codeTemplate;
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| 84 |
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[11740] | 85 | RegisterEvents();
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| 86 | }
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| 87 |
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| 88 | [StorableHook(HookType.AfterDeserialization)]
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| 89 | private void AfterDeserialization() {
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| 90 | RegisterEvents();
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| 91 | }
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| 92 |
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| 93 | private void RegisterEvents() {
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| 94 | ProblemScript.ProblemDefinitionChanged += (o, e) => OnProblemDefinitionChanged();
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[16692] | 95 | ProblemScript.NameChanged += (o, e) => OnProblemScriptNameChanged();
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[11740] | 96 | }
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| 97 |
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| 98 | private void OnProblemDefinitionChanged() {
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[12002] | 99 | Parameters.Remove("Maximization");
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| 100 | 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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[13365] | 101 | Encoding = (TEncoding)ProblemScript.Encoding.Clone();
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[11996] | 102 |
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[11753] | 103 | OnOperatorsChanged();
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| 104 | OnReset();
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[11740] | 105 | }
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[16692] | 106 | protected override void OnNameChanged() {
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| 107 | base.OnNameChanged();
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| 108 | ProblemScript.Name = Name;
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| 109 | }
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| 110 | private void OnProblemScriptNameChanged() {
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| 111 | Name = ProblemScript.Name;
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| 112 | }
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[11740] | 113 |
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| 114 | public override bool[] Maximization {
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[12002] | 115 | get { return Parameters.ContainsKey("ProblemScript") ? ProblemDefinition.Maximization : new[] { false }; }
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[11740] | 116 | }
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| 117 |
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[16751] | 118 | public override double[] Evaluate(TEncodedSolution individual, IRandom random) {
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[11740] | 119 | return ProblemDefinition.Evaluate(individual, random);
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| 120 | }
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| 121 |
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[16751] | 122 | public override void Analyze(TEncodedSolution[] individuals, double[][] qualities, ResultCollection results, IRandom random) {
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[11880] | 123 | ProblemDefinition.Analyze(individuals, qualities, results, random);
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[11740] | 124 | }
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| 125 | }
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| 126 | }
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