source: trunk/sources/HeuristicLab.RealVector/VariableStrengthNormalAllPositionsManipulator.cs @ 1076

Last change on this file since 1076 was 1076, checked in by abeham, 12 years ago

changed way to fetch variables (fixes ticket #451)

File size: 2.1 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 System.Collections.Generic;
24using System.Text;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Random;
28
29namespace HeuristicLab.RealVector {
30  public class VariableStrengthNormalAllPositionsManipulator : RealVectorManipulatorBase {
31    public override string Description {
32      get { return @"Adds a N(0, 1*factor) distributed random variable to each dimension in the real vector"; }
33    }
34
35    public VariableStrengthNormalAllPositionsManipulator()
36      : base() {
37      AddVariableInfo(new VariableInfo("ShakingFactor", "The factor determining the strength of the mutation", typeof(DoubleData), VariableKind.In));
38    }
39
40    public static double[] Apply(double shakingFactor, IRandom random, double[] vector) {
41      NormalDistributedRandom N = new NormalDistributedRandom(random, 0.0, 1.0 * shakingFactor);
42      for (int i = 0; i < vector.Length; i++) {
43        vector[i] = vector[i] + N.NextDouble();
44      }
45      return vector;
46    }
47
48    protected override double[] Manipulate(IScope scope, IRandom random, double[] vector) {
49      double shakingFactor = GetVariableValue<DoubleData>("ShakingFactor", scope, true).Data;
50      return Apply(shakingFactor, random, vector);
51    }
52  }
53}
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