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 System;
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23 | using System.Collections.Generic;
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24 | using System.Text;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Random;
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28 |
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29 | namespace HeuristicLab.RealVector {
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30 | public class VariableStrengthNormalAllPositionsManipulator : RealVectorManipulatorBase {
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31 | public override string Description {
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32 | get { return @"Adds a N(0, 1*factor) distributed random variable to each dimension in the real vector"; }
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33 | }
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34 |
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35 | public VariableStrengthNormalAllPositionsManipulator()
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36 | : base() {
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37 | AddVariableInfo(new VariableInfo("ShakingFactor", "The factor determining the strength of the mutation", typeof(DoubleData), VariableKind.In));
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38 | }
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39 |
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40 | public static double[] Apply(double shakingFactor, IRandom random, double[] vector) {
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41 | NormalDistributedRandom N = new NormalDistributedRandom(random, 0.0, 1.0 * shakingFactor);
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42 | for (int i = 0; i < vector.Length; i++) {
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43 | vector[i] = vector[i] + N.NextDouble();
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44 | }
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45 | return vector;
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46 | }
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47 |
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48 | protected override double[] Manipulate(IScope scope, IRandom random, double[] vector) {
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49 | double shakingFactor = GetVariableValue<DoubleData>("ShakingFactor", scope, true).Data;
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50 | return Apply(shakingFactor, random, vector);
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51 | }
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52 | }
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53 | }
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