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source: trunk/sources/HeuristicLab.Algorithms.EvolutionStrategy/3.3/SelfAdaptiveCrossover.cs @ 3183

Last change on this file since 3183 was 3183, checked in by abeham, 13 years ago

Updated evolution strategy to include mutation strength adjustment (doh!) #932
Also added self adaptive crossover

File size: 2.8 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.Core;
23using HeuristicLab.Operators;
24using HeuristicLab.Optimization;
25using HeuristicLab.Parameters;
26using HeuristicLab.Encodings.RealVectorEncoding;
27
28namespace HeuristicLab.Algorithms.EvolutionStrategy {
29  public class SelfAdaptiveCrossover : SingleSuccessorOperator, ICrossover, IStochasticOperator {
30    public override bool CanChangeName {
31      get { return false; }
32    }
33    public ILookupParameter<IRandom> RandomParameter {
34      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
35    }
36    public ValueParameter<IRealVectorCrossover> StrategyVectorCrossoverParameter {
37      get { return (ValueParameter<IRealVectorCrossover>)Parameters["StrategyVectorCrossover"]; }
38    }
39    public ConstrainedValueParameter<ICrossover> CrossoverParameter {
40      get { return (ConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
41    }
42
43    public IRealVectorCrossover StrategyVectorCrossover {
44      get { return StrategyVectorCrossoverParameter.Value; }
45      set { StrategyVectorCrossoverParameter.Value = value; }
46    }
47    public ICrossover Crossover {
48      get { return CrossoverParameter.Value; }
49      set { CrossoverParameter.Value = value; }
50    }
51
52    public SelfAdaptiveCrossover()
53      : base() {
54      Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
55      Parameters.Add(new ValueParameter<IRealVectorCrossover>("StrategyVectorCrossover", "The crossover operator for the strategy vectors.", new AverageCrossover()));
56      Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The solution specific crossover operator."));
57    }
58
59    public override IOperation Apply() {
60      OperationCollection next = new OperationCollection();
61      next.Add(ExecutionContext.CreateOperation(StrategyVectorCrossover));
62      if (Crossover != null)
63        next.Add(ExecutionContext.CreateOperation(Crossover));
64      next.Add(base.Apply());
65      return next;
66    }
67  }
68}
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