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source: branches/SuccessProgressAnalysis/HeuristicLab.Optimization/3.3/MultiObjectiveProblem.cs @ 5404

Last change on this file since 5404 was 5343, checked in by swagner, 14 years ago

Added base class for multi-objective problems MultiObjectiveProblem<T, U> (#1389)

File size: 2.4 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Parameters;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Optimization {
29  [Item("Multi-Objective Problem", "A base class for multi-objective problems.")]
30  [StorableClass]
31  public abstract class MultiObjectiveProblem<T, U> : Problem<T, U>, IMultiObjectiveProblem
32    where T : class, IMultiObjectiveEvaluator
33    where U : class, ISolutionCreator {
34    private const string MaximizationParameterName = "Maximization";
35
36    [StorableConstructor]
37    protected MultiObjectiveProblem(bool deserializing) : base(deserializing) { }
38    protected MultiObjectiveProblem(MultiObjectiveProblem<T, U> original, Cloner cloner) : base(original, cloner) { }
39    protected MultiObjectiveProblem()
40      : base() {
41      Parameters.Add(new ValueParameter<BoolArray>(MaximizationParameterName, "Determines for each objective whether it should be maximized or minimized."));
42    }
43
44    public ValueParameter<BoolArray> MaximizationParameter {
45      get { return (ValueParameter<BoolArray>)Parameters[MaximizationParameterName]; }
46    }
47    IParameter IMultiObjectiveProblem.MaximizationParameter {
48      get { return MaximizationParameter; }
49    }
50    public BoolArray Maximization {
51      get { return MaximizationParameter.Value; }
52      protected set { MaximizationParameter.Value = value; }
53    }
54
55    IMultiObjectiveEvaluator IMultiObjectiveProblem.Evaluator {
56      get { return Evaluator; }
57    }
58  }
59}
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