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source: branches/HeuristicLab.Hive_Milestone2/sources/HeuristicLab.Permutation/3.2/ScrambleManipulator.cs @ 2830

Last change on this file since 2830 was 1530, checked in by gkronber, 16 years ago

Moved source files of plugins Hive ... Visualization.Test into version-specific sub-folders. #576

File size: 3.7 KB
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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;
26
27namespace HeuristicLab.Permutation {
28  /// <summary>
29  /// Manipulates a permutation array by randomly scrambling the elements in a randomly chosen interval.
30  /// </summary>
31  public class ScrambleManipulator : PermutationManipulatorBase {
32    /// <inheritdoc select="summary"/>
33    public override string Description {
34      get { return @"TODO\r\nOperator description still missing ..."; }
35    }
36
37    /// <summary>
38    /// Mixes the elements of the given <paramref name="permutation"/> randomly
39    /// in a randomly chosen interval.
40    /// </summary>
41    /// <param name="random">The random number generator.</param>
42    /// <param name="permutation">The permutation array to manipulate.</param>
43    /// <returns>The new permuation array with the manipulated data.</returns>
44    public static int[] Apply(IRandom random, int[] permutation) {
45      int[] result = (int[])permutation.Clone();
46      int breakPoint1, breakPoint2;
47      int[] scrambledIndices, remainingIndices, temp;
48      int selectedIndex, index;
49
50      breakPoint1 = random.Next(permutation.Length - 1);
51      breakPoint2 = random.Next(breakPoint1 + 1, permutation.Length);
52
53      scrambledIndices = new int[breakPoint2 - breakPoint1 + 1];
54      remainingIndices = new int[breakPoint2 - breakPoint1 + 1];
55      for (int i = 0; i < remainingIndices.Length; i++) {  // initialise indices
56        remainingIndices[i] = i;
57      }
58      for (int i = 0; i < scrambledIndices.Length; i++) {  // generate permutation of indices
59        selectedIndex = random.Next(remainingIndices.Length);
60        scrambledIndices[i] = remainingIndices[selectedIndex];
61
62        temp = remainingIndices;
63        remainingIndices = new int[temp.Length - 1];
64        index = 0;
65        for (int j = 0; j < remainingIndices.Length; j++) {
66          if (index == selectedIndex) {
67            index++;
68          }
69          remainingIndices[j] = temp[index];
70          index++;
71        }
72      }
73
74      for (int i = 0; i <= (breakPoint2 - breakPoint1); i++) {  // scramble permutation between breakpoints
75        result[breakPoint1 + i] = permutation[breakPoint1 + scrambledIndices[i]];
76      }
77      return result;
78    }
79
80    /// <summary>
81    /// Mixes the elements of the given <paramref name="permutation"/> randomly
82    /// in a randomly chosen interval.
83    /// </summary>
84    /// <remarks>Calls <see cref="Apply"/>.</remarks>
85    /// <param name="scope">The current scope.</param>
86    /// <param name="random">The random number generator.</param>
87    /// <param name="permutation">The permutation array to manipulate.</param>
88    /// <returns>The new permuation array with the manipulated data.</returns>
89    protected override int[] Manipulate(IScope scope, IRandom random, int[] permutation) {
90      return Apply(random, permutation);
91    }
92  }
93}
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