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source: branches/3.2/sources/HeuristicLab.GP.Operators/3.3/OffspringEqualiser.cs @ 14579

Last change on this file since 14579 was 2222, checked in by gkronber, 15 years ago

Merged changes from GP-refactoring branch back into the trunk #713.

File size: 3.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 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.Data;
24using HeuristicLab.Random;
25
26namespace HeuristicLab.GP.Operators {
27  public class OffspringEqualiser : OperatorBase {
28    public override string Description {
29      get { return @"TODO\r\nOperator description still missing ..."; }
30    }
31
32    public OffspringEqualiser() {
33      AddVariableInfo(new VariableInfo("Random", "Pseudo random number generator", typeof(MersenneTwister), VariableKind.In));
34      AddVariableInfo(new VariableInfo("Value", "The value to equalise", typeof(IntData), VariableKind.In));
35      AddVariableInfo(new VariableInfo("BinSize", "Size of histogram bins", typeof(IntData), VariableKind.In));
36      AddVariableInfo(new VariableInfo("EqualiserHistogram", "Histogram of the target distribution", typeof(DoubleArrayData), VariableKind.In));
37      AddVariableInfo(new VariableInfo("AcceptanceProbabilities", "Acceptance probabilities of individuals falling into bins", typeof(DoubleArrayData), VariableKind.In));
38      AddVariableInfo(new VariableInfo("Histogram", "The histogram of the actual distribution", typeof(IntArrayData), VariableKind.In));
39    }
40
41    public override IOperation Apply(IScope scope) {
42      int binSize = GetVariableValue<IntData>("BinSize", scope, true).Data;
43      DoubleArrayData equaliserHistogram = GetVariableValue<DoubleArrayData>("EqualiserHistogram", scope, true);
44      IRandom random = GetVariableValue<IRandom>("Random", scope, true);
45      DoubleArrayData acceptanceProbabilities = GetVariableValue<DoubleArrayData>("AcceptanceProbabilities", scope, true);
46      IntArrayData currentHistogram = GetVariableValue<IntArrayData>("Histogram", scope, true);
47
48      int value = GetVariableValue<IntData>("Value", scope, false).Data;
49      int bin = value / binSize;
50      if(bin<acceptanceProbabilities.Data.Length && random.NextDouble() < acceptanceProbabilities.Data[bin]) {
51        currentHistogram.Data[bin]++;
52        currentHistogram.FireChanged();
53        return new AtomicOperation(SubOperators[0], scope);
54      } else {
55        scope.AddVariable(new Variable(scope.TranslateName("Quality"), new DoubleData(double.NaN)));
56        return null;
57      }
58    }
59  }
60}
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