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source: stable/HeuristicLab.Problems.Programmable/3.3/MultiObjectiveProgrammableProblem.cs @ 12009

Last change on this file since 12009 was 12009, checked in by ascheibe, 10 years ago

#2212 updated copyright year

File size: 3.9 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System.Drawing;
23using HeuristicLab.Common;
24using HeuristicLab.Common.Resources;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Optimization;
28using HeuristicLab.Parameters;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30
31namespace HeuristicLab.Problems.Programmable {
32  [Item("Programmable Problem (multi-objective)", "Represents a multi-objective problem that can be programmed with a script.")]
33  [Creatable("Problems")]
34  [StorableClass]
35  public sealed class MultiObjectiveProgrammableProblem : MultiObjectiveBasicProblem<IEncoding> {
36    public static new Image StaticItemImage {
37      get { return VSImageLibrary.Script; }
38    }
39
40    private FixedValueParameter<MultiObjectiveProblemDefinitionScript> MultiObjectiveProblemScriptParameter {
41      get { return (FixedValueParameter<MultiObjectiveProblemDefinitionScript>)Parameters["ProblemScript"]; }
42    }
43
44    public MultiObjectiveProblemDefinitionScript ProblemScript {
45      get { return MultiObjectiveProblemScriptParameter.Value; }
46    }
47
48    public IMultiObjectiveProblemDefinition ProblemDefinition {
49      get { return MultiObjectiveProblemScriptParameter.Value; }
50    }
51
52    private MultiObjectiveProgrammableProblem(MultiObjectiveProgrammableProblem original, Cloner cloner)
53      : base(original, cloner) {
54      RegisterEvents();
55    }
56    public override IDeepCloneable Clone(Cloner cloner) { return new MultiObjectiveProgrammableProblem(this, cloner); }
57
58    [StorableConstructor]
59    private MultiObjectiveProgrammableProblem(bool deserializing) : base(deserializing) { }
60    public MultiObjectiveProgrammableProblem()
61      : base() {
62      Parameters.Add(new FixedValueParameter<MultiObjectiveProblemDefinitionScript>("ProblemScript", "Defines the problem.", new MultiObjectiveProblemDefinitionScript() { Name = Name }));
63      RegisterEvents();
64    }
65
66    [StorableHook(HookType.AfterDeserialization)]
67    private void AfterDeserialization() {
68      RegisterEvents();
69    }
70
71    private void RegisterEvents() {
72      ProblemScript.ProblemDefinitionChanged += (o, e) => OnProblemDefinitionChanged();
73    }
74
75    private void OnProblemDefinitionChanged() {
76      Parameters.Remove("Maximization");
77      Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false if the problem should be minimized.", (BoolArray)new BoolArray(Maximization).AsReadOnly()) { Hidden = true });
78
79      Encoding = ProblemDefinition.Encoding;
80      OnOperatorsChanged();
81      OnReset();
82    }
83
84    public override bool[] Maximization {
85      get { return Parameters.ContainsKey("ProblemScript") ? ProblemDefinition.Maximization : new[] { false }; }
86    }
87
88    public override double[] Evaluate(Individual individual, IRandom random) {
89      return ProblemDefinition.Evaluate(individual, random);
90    }
91
92    public override void Analyze(Individual[] individuals, double[][] qualities, ResultCollection results, IRandom random) {
93      ProblemDefinition.Analyze(individuals, qualities, results, random);
94    }
95  }
96}
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