source: branches/ProblemRefactoring/HeuristicLab.Optimization/3.3/BasicProblems/MultiObjectiveProblem.cs @ 13339

Last change on this file since 13339 was 13339, checked in by mkommend, 3 years ago

#2521: Rectored problems and encodings.

File size: 4.0 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 MultiObjectiveProblem<TEncoding, TSolution> : Problem<TEncoding, TSolution, MultiObjectiveEvaluator<TSolution>>, IMultiObjectiveHeuristicOptimizationProblem, IMultiObjectiveProblemDefinition<TEncoding, TSolution>
32    where TEncoding : class, IEncoding<TSolution>
33    where TSolution : class, ISolution {
34    [StorableConstructor]
35    protected MultiObjectiveProblem(bool deserializing) : base(deserializing) { }
36
37    protected MultiObjectiveProblem(MultiObjectiveProblem<TEncoding, TSolution> original, Cloner cloner)
38      : base(original, cloner) {
39      ParameterizeOperators();
40    }
41
42    protected MultiObjectiveProblem()
43      : base() {
44      Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false if the problem should be minimized.", (BoolArray)new BoolArray(Maximization).AsReadOnly()));
45
46      Operators.Add(Evaluator);
47      Operators.Add(new MultiObjectiveAnalyzer<TSolution>());
48
49      ParameterizeOperators();
50    }
51
52    [StorableHook(HookType.AfterDeserialization)]
53    private void AfterDeserialization() {
54      ParameterizeOperators();
55    }
56
57    public abstract bool[] Maximization { get; }
58    public abstract double[] Evaluate(TSolution individual, IRandom random);
59    public virtual void Analyze(TSolution[] individuals, double[][] qualities, ResultCollection results, IRandom random) { }
60
61    //TODO
62    //protected override void OnOperatorsChanged() {
63    //  base.OnOperatorsChanged();
64    //  if (Encoding != null) {
65    //    PruneSingleObjectiveOperators(Encoding);
66    //    var multiEncoding = Encoding as MultiEncoding;
67    //    if (multiEncoding != null) {
68    //      foreach (var encoding in multiEncoding.Encodings.ToList()) {
69    //        PruneSingleObjectiveOperators(encoding);
70    //      }
71    //    }
72    //  }
73    //}
74
75    //private void PruneSingleObjectiveOperators(IEncoding encoding) {
76    //  if (encoding != null && encoding.Operators.Any(x => x is ISingleObjectiveOperator && !(x is IMultiObjectiveOperator)))
77    //    encoding.Operators = encoding.Operators.Where(x => !(x is ISingleObjectiveOperator) || x is IMultiObjectiveOperator).ToList();
78    //}
79
80    protected override void OnEvaluatorChanged() {
81      base.OnEvaluatorChanged();
82      ParameterizeOperators();
83    }
84
85    private void ParameterizeOperators() {
86      foreach (var op in Operators.OfType<IMultiObjectiveEvaluationOperator<TSolution>>())
87        op.EvaluateFunc = Evaluate;
88      foreach (var op in Operators.OfType<IMultiObjectiveAnalysisOperator<TSolution>>())
89        op.AnalyzeAction = Analyze;
90    }
91
92
93    #region IMultiObjectiveHeuristicOptimizationProblem Members
94    IParameter IMultiObjectiveHeuristicOptimizationProblem.MaximizationParameter {
95      get { return Parameters["Maximization"]; }
96    }
97    IMultiObjectiveEvaluator IMultiObjectiveHeuristicOptimizationProblem.Evaluator {
98      get { return Evaluator; }
99    }
100    #endregion
101  }
102}
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