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source: branches/LearningClassifierSystems/HeuristicLab.Encodings.VariableVector/3.3/VariableVectorCrossover.cs @ 9585

Last change on this file since 9585 was 9194, checked in by sforsten, 12 years ago

#1980:

  • added necessary interface ICondition, IAction, IInput
  • removed not used class MatchSelector and interface IMatchSelector
  • added constructors to ItemDictionary
  • added new encoding
File size: 2.9 KB
RevLine 
[9194]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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.Operators;
25using HeuristicLab.Parameters;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Encodings.VariableVector {
29  [Item("VariableVectorCrossover", "Description missing")]
30  [StorableClass]
31  public abstract class VariableVectorCrossover : SingleSuccessorOperator, IVariableVectorCrossover {
32    public override bool CanChangeName {
33      get { return false; }
34    }
35
36    #region Parameter Properties
37    public ILookupParameter<IRandom> RandomParameter {
38      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
39    }
40    public ILookupParameter<ItemArray<VariableVector>> ParentsParameter {
41      get { return (ScopeTreeLookupParameter<VariableVector>)Parameters["Parents"]; }
42    }
43    public ILookupParameter<VariableVector> ChildParameter {
44      get { return (ILookupParameter<VariableVector>)Parameters["Child"]; }
45    }
46    #endregion
47
48    [StorableConstructor]
49    protected VariableVectorCrossover(bool deserializing) : base(deserializing) { }
50    protected VariableVectorCrossover(VariableVectorCrossover original, Cloner cloner)
51      : base(original, cloner) {
52    }
53    public VariableVectorCrossover()
54      : base() {
55      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic crossover operators."));
56      Parameters.Add(new ScopeTreeLookupParameter<VariableVector>("Parents", "The parent vectors which should be crossed."));
57      ParentsParameter.ActualName = "VariableVector";
58      Parameters.Add(new LookupParameter<VariableVector>("Child", "The child vector resulting from the crossover."));
59      ChildParameter.ActualName = "VariableVector";
60    }
61
62    public sealed override IOperation Apply() {
63      ChildParameter.ActualValue = Cross(RandomParameter.ActualValue, ParentsParameter.ActualValue);
64      return base.Apply();
65    }
66
67    protected abstract VariableVector Cross(IRandom random, ItemArray<VariableVector> parents);
68  }
69}
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