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source: branches/3.1/sources/HeuristicLab.SimOpt/TranslocationPermutationAdaptiveManipulator.cs @ 16101

Last change on this file since 16101 was 592, checked in by abeham, 16 years ago

Put the GPL license in the files from the communication framework and simulation optimization project (branch 3.1)

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 System;
23using System.Collections.Generic;
24using System.Linq;
25using System.Text;
26using System.Xml;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Random;
30
31namespace HeuristicLab.SimOpt {
32  public class TranslocationPermutationAdaptiveManipulator : SimOptManipulationOperatorBase {
33    public override string Description {
34      get { return @"Move a certain number of consecutive elements to a different part in an IntArray or Permutation.
35Uses a shaking factor to provide an upper bound on the length of consecutive elments moved."; }
36    }
37
38    public TranslocationPermutationAdaptiveManipulator()
39      : base() {
40      AddVariableInfo(new VariableInfo("ShakingFactor", "A shaking factor that determines the maximum size of subtours which are to be translocated. The actual value is drawn from a uniform distribution between 1 and this factor (rounded)", typeof(DoubleData), VariableKind.In));
41    }
42
43    protected override void Apply(IScope scope, IRandom random, IItem item) {
44      double shakingFactor = GetVariableValue<DoubleData>("ShakingFactor", scope, true).Data;
45      if (item is Permutation.Permutation || item is IntArrayData) {
46        IntArrayData data = (item as IntArrayData);
47        int l = random.Next(1, (int)Math.Max(Math.Min((int)shakingFactor, data.Data.Length - 1), 2));
48        int x = random.Next(data.Data.Length - l);
49        int y;
50        do {
51          y = random.Next(data.Data.Length - l);
52        } while (x == y);
53
54        int[] h = new int[l];
55        for (int i = 0; i < h.Length; i++)
56          h[i] = data.Data[x + i];
57
58        if (x > y) {
59          while (x > y) {
60            x--;
61            data.Data[x + l] = data.Data[x];
62          }
63        } else {
64          while (x < y) {
65            data.Data[x] = data.Data[x + l];
66            x++;
67          }
68        }
69        for (int i = 0; i < h.Length; i++)
70          data.Data[y + i] = h[i];
71      } else throw new InvalidOperationException("ERROR: PermutationTranslocationManipulator does not know how to work with " + ((item != null) ? (item.GetType().ToString()) : ("null")) + " data");
72    }
73  }
74}
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