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source: trunk/sources/HeuristicLab.Encodings.PermutationEncoding/3.3/Manipulators/TranslocationInversionManipulator.cs @ 4047

Last change on this file since 4047 was 3376, checked in by swagner, 15 years ago

Moved interfaces and classes for deep cloning from HeuristicLab.Core to HeuristicLab.Common (#975).

File size: 3.8 KB
RevLine 
[2]1#region License Information
2/* HeuristicLab
[2854]3 * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[2]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
[3376]22using HeuristicLab.Common;
[2]23using HeuristicLab.Core;
[2854]24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
[2]25
[3053]26namespace HeuristicLab.Encodings.PermutationEncoding {
[850]27  /// <summary>
28  /// Manipulates a permutation array by moving and reversing a randomly chosen interval of elements to another
29  /// (randomly chosen) position in the array.
30  /// </summary>
[2854]31  /// <remarks>
[2871]32  /// It is implemented as described in Fogel, D.B. 1993. Applying Evolutionary Programming to Selected TSP Problems, Cybernetics and Systems, 22, pp 27-36.
[2854]33  /// </remarks>
[2871]34  [Item("TranslocationInversionManipulator", "An operator which inverts a randomly chosen part of a permutation and inserts it at a random position. It is implemented as described in Fogel, D.B. 1993. Applying Evolutionary Programming to Selected TSP Problems, Cybernetics and Systems, 22, pp. 27-36.")]
[3017]35  [StorableClass]
[2854]36  public class TranslocationInversionManipulator : PermutationManipulator {
[850]37    /// <summary>
38    /// Moves a randomly chosen interval of elements to another (randomly chosen) position in the given
39    /// <paramref name="permutation"/> array and reverses it.
40    /// </summary>
41    /// <param name="random">The random number generator.</param>
42    /// <param name="permutation">The permutation array to manipulate.</param>
[2854]43    public static void Apply(IRandom random, Permutation permutation) {
44      Permutation original = (Permutation)permutation.Clone();
[2]45      int breakPoint1, breakPoint2, insertPoint, insertPointLimit;
46
[2854]47      breakPoint1 = random.Next(original.Length - 1);
48      breakPoint2 = random.Next(breakPoint1 + 1, original.Length);
49      insertPointLimit = original.Length - breakPoint2 + breakPoint1 - 1;  // get insertion point in remaining part
[2]50      if (insertPointLimit > 0)
51        insertPoint = random.Next(insertPointLimit);
52      else
53        insertPoint = 0;
54
55      int i = 0;  // index in new permutation
56      int j = 0;  // index in old permutation
[2854]57      while (i < original.Length) {
[2]58        if (i == insertPoint) {  // copy translocated area
59          for (int k = breakPoint2; k >= breakPoint1; k--) {
[2854]60            permutation[i] = original[k];
[2]61            i++;
62          }
63        }
64        if (j == breakPoint1) {  // skip area between breakpoints
65          j = breakPoint2 + 1;
66        }
[2854]67        if ((i < original.Length) && (j < original.Length)) {
68          permutation[i] = original[j];
[2]69          i++;
70          j++;
71        }
72      }
73    }
74
[850]75    /// <summary>
76    /// Moves a randomly chosen interval of elements to another (randomly chosen) position in the given
77    /// <paramref name="permutation"/> array and reverses it.
78    /// </summary>
79    /// <remarks>Calls <see cref="Apply"/>.</remarks>
[2854]80    /// <param name="random">A random number generator.</param>
81    /// <param name="permutation">The permutation to manipulate.</param>
82    protected override void Manipulate(IRandom random, Permutation permutation) {
83      Apply(random, permutation);
[2]84    }
85  }
86}
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