Free cookie consent management tool by TermsFeed Policy Generator

source: branches/ProblemRefactoring/HeuristicLab.Optimization/3.3/BasicProblems/MultiObjectiveBasicProblem.cs @ 13331

Last change on this file since 13331 was 12012, checked in by ascheibe, 8 years ago

#2212 merged r12008, r12009, r12010 back into trunk

File size: 3.9 KB
Line 
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.Linq;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Optimization {
30  [StorableClass]
31  public abstract class MultiObjectiveBasicProblem<TEncoding> : BasicProblem<TEncoding, MultiObjectiveEvaluator>, IMultiObjectiveHeuristicOptimizationProblem, IMultiObjectiveProblemDefinition
32  where TEncoding : class, IEncoding {
33    [StorableConstructor]
34    protected MultiObjectiveBasicProblem(bool deserializing) : base(deserializing) { }
35
36    protected MultiObjectiveBasicProblem(MultiObjectiveBasicProblem<TEncoding> original, Cloner cloner)
37      : base(original, cloner) {
38      ParameterizeOperators();
39    }
40
41    protected MultiObjectiveBasicProblem()
42      : base() {
43      Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false if the problem should be minimized.", (BoolArray)new BoolArray(Maximization).AsReadOnly()));
44
45      Operators.Add(Evaluator);
46      Operators.Add(new MultiObjectiveAnalyzer());
47
48      ParameterizeOperators();
49    }
50
51    [StorableHook(HookType.AfterDeserialization)]
52    private void AfterDeserialization() {
53      ParameterizeOperators();
54    }
55
56    public abstract bool[] Maximization { get; }
57    public abstract double[] Evaluate(Individual individual, IRandom random);
58    public virtual void Analyze(Individual[] individuals, double[][] qualities, ResultCollection results, IRandom random) { }
59
60    protected override void OnOperatorsChanged() {
61      base.OnOperatorsChanged();
62      if (Encoding != null) {
63        PruneSingleObjectiveOperators(Encoding);
64        var multiEncoding = Encoding as MultiEncoding;
65        if (multiEncoding != null) {
66          foreach (var encoding in multiEncoding.Encodings.ToList()) {
67            PruneSingleObjectiveOperators(encoding);
68          }
69        }
70      }
71    }
72
73    private void PruneSingleObjectiveOperators(IEncoding encoding) {
74      if (encoding != null && encoding.Operators.Any(x => x is ISingleObjectiveOperator && !(x is IMultiObjectiveOperator)))
75        encoding.Operators = encoding.Operators.Where(x => !(x is ISingleObjectiveOperator) || x is IMultiObjectiveOperator).ToList();
76    }
77
78    protected override void OnEvaluatorChanged() {
79      base.OnEvaluatorChanged();
80      ParameterizeOperators();
81    }
82
83    private void ParameterizeOperators() {
84      foreach (var op in Operators.OfType<IMultiObjectiveEvaluationOperator>())
85        op.EvaluateFunc = Evaluate;
86      foreach (var op in Operators.OfType<IMultiObjectiveAnalysisOperator>())
87        op.AnalyzeAction = Analyze;
88    }
89
90
91    #region IMultiObjectiveHeuristicOptimizationProblem Members
92    IParameter IMultiObjectiveHeuristicOptimizationProblem.MaximizationParameter {
93      get { return Parameters["Maximization"]; }
94    }
95    IMultiObjectiveEvaluator IMultiObjectiveHeuristicOptimizationProblem.Evaluator {
96      get { return Evaluator; }
97    }
98    #endregion
99  }
100}
Note: See TracBrowser for help on using the repository browser.