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source: branches/LearningClassifierSystems/HeuristicLab.Encodings.VariableVector/3.3/VariableVectorCreator.cs @ 10814

Last change on this file since 10814 was 9242, checked in by sforsten, 12 years ago

#1980:

  • fixed several bugs (crossover, subsumption, serialization etc.)
  • added ModuloOperator
  • CombinedIntegerVectorClassificationProblem\Data and VariableVectorClassificationProblem\Data inherit from ConditionActionClassificationProblem\Data
  • it can now be set how often the analyzers have to be executed
  • VariableVectorAction, VariableVectorCondition and VariableVectorInput now inherit from Item
File size: 3.0 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.Optimization;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Encodings.VariableVector {
30  [Item("VariableVectorCreator", "Description missing")]
31  [StorableClass]
32  public abstract class VariableVectorCreator : SingleSuccessorOperator, IVariableVectorCreator, IStochasticOperator {
33
34    #region Parameter Properties
[9242]35    public IValueLookupParameter<IVariableVectorClassificationProblemData> ProblemDataParameter {
36      get { return (IValueLookupParameter<IVariableVectorClassificationProblemData>)Parameters["ProblemData"]; }
[9194]37    }
38    public ILookupParameter<VariableVector> VariableVectorParameter {
39      get { return (ILookupParameter<VariableVector>)Parameters["VariableVector"]; }
40    }
41    public ILookupParameter<IRandom> RandomParameter {
42      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
43    }
44    #endregion
45
[9242]46    protected IVariableVectorClassificationProblemData ProblemData {
47      get { return ProblemDataParameter.ActualValue; }
48    }
49
[9194]50    [StorableConstructor]
51    protected VariableVectorCreator(bool deserializing) : base(deserializing) { }
52    protected VariableVectorCreator(VariableVectorCreator original, Cloner cloner)
53      : base(original, cloner) {
54    }
55    public VariableVectorCreator()
56      : base() {
[9242]57      Parameters.Add(new ValueLookupParameter<IVariableVectorClassificationProblemData>("ProblemData", ""));
[9194]58      Parameters.Add(new LookupParameter<VariableVector>("VariableVector", ""));
59      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
60    }
61
62    public override IOperation Apply() {
[9242]63      VariableVectorParameter.ActualValue = Create(RandomParameter.ActualValue, ProblemData.SampleVariableVectorParameter.Value, ProblemData.SpreadPercentageParameter.Value.Value);
[9194]64      return base.Apply();
65    }
66
67    protected abstract VariableVector Create(IRandom random, VariableVector sampleVariableVector, double spreadPercentage);
68  }
69}
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