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source: branches/Persistence Test/HeuristicLab.GP.Operators/3.3/EqualiserController.cs @ 3928

Last change on this file since 3928 was 2222, checked in by gkronber, 15 years ago

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

File size: 2.8 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 System;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25
26namespace HeuristicLab.GP.Operators {
27  public class EqualiserController : OperatorBase {
28    public override string Description {
29      get { return @"TODO\r\nOperator description still missing ..."; }
30    }
31
32    public EqualiserController() {
33      AddVariableInfo(new VariableInfo("EqualiserHistogram", "Histogram of the target distribution", typeof(DoubleArrayData), VariableKind.In));
34      AddVariableInfo(new VariableInfo("AcceptanceProbabilities", "Acceptance probabilities of individuals falling into bins", typeof(DoubleArrayData), VariableKind.In));
35      AddVariableInfo(new VariableInfo("Histogram", "The histogram of the actual distribution", typeof(IntArrayData), VariableKind.In));
36      AddVariableInfo(new VariableInfo("Rate", "Parameter that controls the convergence rate of the population to the equalised distribution", typeof(DoubleData), VariableKind.In));
37    }
38
39    public override IOperation Apply(IScope scope) {
40      DoubleArrayData equaliserHistogram = GetVariableValue<DoubleArrayData>("EqualiserHistogram", scope, true);
41      DoubleArrayData acceptanceProbabilities = GetVariableValue<DoubleArrayData>("AcceptanceProbabilities", scope, false, false);
42      IntArrayData currentHistogram = GetVariableValue<IntArrayData>("Histogram", scope, false, false);
43      double rate = GetVariableValue<DoubleData>("Rate", scope, false, false).Data;
44
45      double sum = 0.0;
46      Array.ForEach(currentHistogram.Data, delegate(int i) { sum += i; });
47      for(int i = 0; i < acceptanceProbabilities.Data.Length; i++) {
48        double normalizedDiff = (equaliserHistogram.Data[i] - (currentHistogram.Data[i] / sum)) / equaliserHistogram.Data[i];
49        acceptanceProbabilities.Data[i] = acceptanceProbabilities.Data[i] + normalizedDiff * rate;
50        currentHistogram.Data[i] = 0;
51      }
52      currentHistogram.FireChanged();
53      acceptanceProbabilities.FireChanged();
54      return null;
55    }
56  }
57}
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