[700] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using HeuristicLab.Core;
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| 23 | using HeuristicLab.Data;
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| 24 | using HeuristicLab.Random;
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| 25 |
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[2212] | 26 | namespace HeuristicLab.GP.Operators {
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[700] | 27 | public class OffspringEqualiser : OperatorBase {
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| 28 | public override string Description {
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| 29 | get { return @"TODO\r\nOperator description still missing ..."; }
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| 30 | }
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| 31 |
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| 32 | public OffspringEqualiser() {
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| 33 | AddVariableInfo(new VariableInfo("Random", "Pseudo random number generator", typeof(MersenneTwister), VariableKind.In));
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| 34 | AddVariableInfo(new VariableInfo("Value", "The value to equalise", typeof(IntData), VariableKind.In));
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| 35 | AddVariableInfo(new VariableInfo("BinSize", "Size of histogram bins", typeof(IntData), VariableKind.In));
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| 36 | AddVariableInfo(new VariableInfo("EqualiserHistogram", "Histogram of the target distribution", typeof(DoubleArrayData), VariableKind.In));
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| 37 | AddVariableInfo(new VariableInfo("AcceptanceProbabilities", "Acceptance probabilities of individuals falling into bins", typeof(DoubleArrayData), VariableKind.In));
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| 38 | AddVariableInfo(new VariableInfo("Histogram", "The histogram of the actual distribution", typeof(IntArrayData), VariableKind.In));
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| 39 | }
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| 40 |
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| 41 | public override IOperation Apply(IScope scope) {
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| 42 | int binSize = GetVariableValue<IntData>("BinSize", scope, true).Data;
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| 43 | DoubleArrayData equaliserHistogram = GetVariableValue<DoubleArrayData>("EqualiserHistogram", scope, true);
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| 44 | IRandom random = GetVariableValue<IRandom>("Random", scope, true);
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| 45 | DoubleArrayData acceptanceProbabilities = GetVariableValue<DoubleArrayData>("AcceptanceProbabilities", scope, true);
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| 46 | IntArrayData currentHistogram = GetVariableValue<IntArrayData>("Histogram", scope, true);
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| 47 |
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| 48 | int value = GetVariableValue<IntData>("Value", scope, false).Data;
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| 49 | int bin = value / binSize;
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| 50 | if(bin<acceptanceProbabilities.Data.Length && random.NextDouble() < acceptanceProbabilities.Data[bin]) {
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| 51 | currentHistogram.Data[bin]++;
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| 52 | currentHistogram.FireChanged();
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| 53 | return new AtomicOperation(SubOperators[0], scope);
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| 54 | } else {
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| 55 | scope.AddVariable(new Variable(scope.TranslateName("Quality"), new DoubleData(double.NaN)));
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| 56 | return null;
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| 57 | }
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| 58 | }
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| 59 | }
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| 60 | }
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