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source: branches/SuccessProgressAnalysis/HeuristicLab.Encodings.RealVectorEncoding/3.3/RealVectorCrossover.cs @ 5370

Last change on this file since 5370 was 4722, checked in by swagner, 14 years ago

Merged cloning refactoring branch back into trunk (#922)

File size: 3.5 KB
Line 
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.Operators;
26using HeuristicLab.Optimization;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Encodings.RealVectorEncoding {
31  /// <summary>
32  /// A base class for operators that perform a crossover of real-valued vectors.
33  /// </summary>
34  [Item("RealVectorCrossover", "A base class for operators that perform a crossover of real-valued vectors.")]
35  [StorableClass]
36  public abstract class RealVectorCrossover : SingleSuccessorOperator, IRealVectorCrossover, IStochasticOperator {
37    public override bool CanChangeName {
38      get { return false; }
39    }
40
41    public ILookupParameter<IRandom> RandomParameter {
42      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
43    }
44    public ILookupParameter<ItemArray<RealVector>> ParentsParameter {
45      get { return (ScopeTreeLookupParameter<RealVector>)Parameters["Parents"]; }
46    }
47    public ILookupParameter<RealVector> ChildParameter {
48      get { return (ILookupParameter<RealVector>)Parameters["Child"]; }
49    }
50    public IValueLookupParameter<DoubleMatrix> BoundsParameter {
51      get { return (IValueLookupParameter<DoubleMatrix>)Parameters["Bounds"]; }
52    }
53
54    [StorableConstructor]
55    protected RealVectorCrossover(bool deserializing) : base(deserializing) { }
56    protected RealVectorCrossover(RealVectorCrossover original, Cloner cloner) : base(original, cloner) { }
57    protected RealVectorCrossover()
58      : base() {
59      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic crossover operators."));
60      Parameters.Add(new ScopeTreeLookupParameter<RealVector>("Parents", "The parent vectors which should be crossed."));
61      ParentsParameter.ActualName = "RealVector";
62      Parameters.Add(new LookupParameter<RealVector>("Child", "The child vector resulting from the crossover."));
63      ChildParameter.ActualName = "RealVector";
64      Parameters.Add(new ValueLookupParameter<DoubleMatrix>("Bounds", "The lower and upper bounds of the real vector."));
65    }
66
67    public sealed override IOperation Apply() {
68      RealVector result = Cross(RandomParameter.ActualValue, ParentsParameter.ActualValue);
69      DoubleMatrix bounds = BoundsParameter.ActualValue;
70      if (bounds != null) BoundsChecker.Apply(result, bounds);
71      ChildParameter.ActualValue = result;
72      return base.Apply();
73    }
74
75    protected abstract RealVector Cross(IRandom random, ItemArray<RealVector> parents);
76  }
77}
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