source: branches/ProblemRefactoring/HeuristicLab.Optimization/3.3/BasicProblems/MultiObjectiveProblem.cs @ 13361

Last change on this file since 13361 was 13361, checked in by mkommend, 4 years ago

#2521: Adapted real vector encoding, test function problems, P3, CMA-ES and optimization.

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> :
32    Problem<TEncoding, TSolution, MultiObjectiveEvaluator<TSolution>>,
33    IMultiObjectiveProblem<TEncoding, TSolution>,
34    IMultiObjectiveProblemDefinition<TEncoding, TSolution>
35    where TEncoding : class, IEncoding<TSolution>
36    where TSolution : class, ISolution {
37
38    [StorableConstructor]
39    protected MultiObjectiveProblem(bool deserializing) : base(deserializing) { }
40
41    protected MultiObjectiveProblem(MultiObjectiveProblem<TEncoding, TSolution> original, Cloner cloner)
42      : base(original, cloner) {
43      ParameterizeOperators();
44    }
45
46    protected MultiObjectiveProblem()
47      : base() {
48      Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false if the problem should be minimized.", (BoolArray)new BoolArray(Maximization).AsReadOnly()));
49
50      Operators.Add(Evaluator);
51      Operators.Add(new MultiObjectiveAnalyzer<TSolution>());
52
53      ParameterizeOperators();
54    }
55
56    [StorableHook(HookType.AfterDeserialization)]
57    private void AfterDeserialization() {
58      ParameterizeOperators();
59    }
60
61    public abstract bool[] Maximization { get; }
62    public abstract double[] Evaluate(TSolution individual, IRandom random);
63    public virtual void Analyze(TSolution[] individuals, double[][] qualities, ResultCollection results, IRandom random) { }
64
65    //TODO
66    //protected override void OnOperatorsChanged() {
67    //  base.OnOperatorsChanged();
68    //  if (Encoding != null) {
69    //    PruneSingleObjectiveOperators(Encoding);
70    //    var multiEncoding = Encoding as MultiEncoding;
71    //    if (multiEncoding != null) {
72    //      foreach (var encoding in multiEncoding.Encodings.ToList()) {
73    //        PruneSingleObjectiveOperators(encoding);
74    //      }
75    //    }
76    //  }
77    //}
78
79    //private void PruneSingleObjectiveOperators(IEncoding encoding) {
80    //  if (encoding != null && encoding.Operators.Any(x => x is ISingleObjectiveOperator && !(x is IMultiObjectiveOperator)))
81    //    encoding.Operators = encoding.Operators.Where(x => !(x is ISingleObjectiveOperator) || x is IMultiObjectiveOperator).ToList();
82    //}
83
84    protected override void OnEvaluatorChanged() {
85      base.OnEvaluatorChanged();
86      ParameterizeOperators();
87    }
88
89    private void ParameterizeOperators() {
90      foreach (var op in Operators.OfType<IMultiObjectiveEvaluationOperator<TSolution>>())
91        op.EvaluateFunc = Evaluate;
92      foreach (var op in Operators.OfType<IMultiObjectiveAnalysisOperator<TSolution>>())
93        op.AnalyzeAction = Analyze;
94    }
95
96
97    #region IMultiObjectiveHeuristicOptimizationProblem Members
98    IParameter IMultiObjectiveHeuristicOptimizationProblem.MaximizationParameter {
99      get { return Parameters["Maximization"]; }
100    }
101    IMultiObjectiveEvaluator IMultiObjectiveHeuristicOptimizationProblem.Evaluator {
102      get { return Evaluator; }
103    }
104    #endregion
105  }
106}
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