1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2014 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.Linq;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Optimization;
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28 | using HeuristicLab.Parameters;
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29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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30 |
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31 | namespace HeuristicLab.Encodings.PermutationEncoding {
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32 | [Item("StochasticScrambleMultiMoveGenerator", "Randomly samples n from all possible scramble moves from a given permutation.")]
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33 | [StorableClass]
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34 | public class StochasticScrambleMultiMoveGenerator : ScrambleMoveGenerator, IMultiMoveGenerator, IStochasticOperator {
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35 | public ILookupParameter<IRandom> RandomParameter {
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36 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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37 | }
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38 | public IValueLookupParameter<IntValue> SampleSizeParameter {
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39 | get { return (IValueLookupParameter<IntValue>)Parameters["SampleSize"]; }
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40 | }
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41 |
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42 | public IntValue SampleSize {
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43 | get { return SampleSizeParameter.Value; }
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44 | set { SampleSizeParameter.Value = value; }
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45 | }
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46 |
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47 | [StorableConstructor]
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48 | protected StochasticScrambleMultiMoveGenerator(bool deserializing) : base(deserializing) { }
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49 | protected StochasticScrambleMultiMoveGenerator(StochasticScrambleMultiMoveGenerator original, Cloner cloner) : base(original, cloner) { }
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50 | public StochasticScrambleMultiMoveGenerator()
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51 | : base() {
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52 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator."));
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53 | Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "The number of moves to generate."));
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54 | }
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55 |
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56 | public override IDeepCloneable Clone(Cloner cloner) {
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57 | return new StochasticScrambleMultiMoveGenerator(this, cloner);
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58 | }
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59 |
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60 | public static ScrambleMove GenerateRandomMove(Permutation permutation, IRandom random) {
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61 | int breakPoint1, breakPoint2;
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62 | int[] scrambledIndices;
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63 |
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64 | breakPoint1 = random.Next(permutation.Length);
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65 | do {
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66 | breakPoint2 = random.Next(permutation.Length);
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67 | } while (Math.Abs(breakPoint2 - breakPoint1) <= 1);
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68 | if (breakPoint2 < breakPoint1) { int h = breakPoint1; breakPoint1 = breakPoint2; breakPoint2 = h; }
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69 |
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70 | scrambledIndices = new int[breakPoint2 - breakPoint1 + 1];
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71 | for (int i = 0; i < scrambledIndices.Length; i++)
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72 | scrambledIndices[i] = i;
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73 | bool[] moved = new bool[scrambledIndices.Length];
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74 | bool changed = false;
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75 | do {
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76 | for (int i = scrambledIndices.Length - 1; i > 0; i--) {
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77 | int j = random.Next(i + 1);
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78 | int t = scrambledIndices[j];
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79 | scrambledIndices[j] = scrambledIndices[i];
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80 | scrambledIndices[i] = t;
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81 | if (scrambledIndices[j] == j) moved[j] = false;
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82 | else moved[j] = true;
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83 | if (scrambledIndices[i] == i) moved[i] = false;
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84 | else moved[i] = true;
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85 | }
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86 | changed = moved.Any(x => x);
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87 | } while (!changed);
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88 |
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89 | return new ScrambleMove(breakPoint1, scrambledIndices);
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90 | }
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91 |
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92 | public static ScrambleMove[] Apply(Permutation permutation, IRandom random, int sampleSize) {
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93 | int length = permutation.Length;
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94 | ScrambleMove[] moves = new ScrambleMove[sampleSize];
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95 | for (int i = 0; i < sampleSize; i++) {
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96 | moves[i] = GenerateRandomMove(permutation, random);
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97 | }
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98 | return moves;
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99 | }
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100 |
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101 | protected override ScrambleMove[] GenerateMoves(Permutation permutation) {
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102 | IRandom random = RandomParameter.ActualValue;
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103 | return Apply(permutation, random, SampleSizeParameter.ActualValue.Value);
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104 | }
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105 | }
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106 | }
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