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source: branches/ScatterSearch (trunk integration)/HeuristicLab.Problems.TravelingSalesman/3.3/PathRelinkers/TSPSimultaneousPathRelinker.cs @ 8319

Last change on this file since 8319 was 8319, checked in by jkarder, 12 years ago

#1331:

  • applied some of the changes suggested by ascheibe in comment:32:ticket:1331
  • restructured path relinking and improvement operators and similarity calculators
  • fixed bug in TSPMultipleGuidesPathRelinker
File size: 4.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Data;
28using HeuristicLab.Encodings.PermutationEncoding;
29using HeuristicLab.Optimization.Operators;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31
32namespace HeuristicLab.Problems.TravelingSalesman {
33  /// <summary>
34  /// An operator that relinks paths between traveling salesman solutions starting from both ends.
35  /// </summary>
36  /// <remarks>
37  /// The operator incrementally assimilates the initiating solution into the guiding solution and vice versa by correcting edges as needed.
38  /// </remarks>
39  [Item("TSPSimultaneousPathRelinker", "An operator that relinks paths between traveling salesman solutions starting from both ends.")]
40  [StorableClass]
41  public sealed class TSPSimultaneousPathRelinker : SingleObjectivePathRelinker {
42    [StorableConstructor]
43    private TSPSimultaneousPathRelinker(bool deserializing) : base(deserializing) { }
44    private TSPSimultaneousPathRelinker(TSPSimultaneousPathRelinker original, Cloner cloner) : base(original, cloner) { }
45    public TSPSimultaneousPathRelinker() : base() { }
46
47    public override IDeepCloneable Clone(Cloner cloner) {
48      return new TSPSimultaneousPathRelinker(this, cloner);
49    }
50
51    public static ItemArray<IItem> Apply(IItem initiator, IItem guide, PercentValue n) {
52      if (!(initiator is Permutation) || !(guide is Permutation))
53        throw new ArgumentException("Cannot relink path because one of the provided solutions or both have the wrong type.");
54      if (n.Value <= 0.0)
55        throw new ArgumentException("RelinkingAccuracy must be greater than 0.");
56
57      Permutation firstInitiator = initiator.Clone() as Permutation;
58      Permutation firstGuide = guide.Clone() as Permutation;
59      Permutation secondInitiator = firstGuide.Clone() as Permutation;
60      Permutation secondGuide = firstInitiator.Clone() as Permutation;
61
62      if (firstInitiator.Length != firstGuide.Length)
63        throw new ArgumentException("The solutions are of different length.");
64
65      IList<Permutation> solutions = new List<Permutation>();
66      for (int i = 0; i < firstInitiator.Length / 2; i++) {
67        if (firstInitiator[i] != firstGuide[i]) {
68          var target = firstInitiator.Select((x, index) => new { Value = x, ValueIndex = index }).First(x => x.Value == firstGuide[i]);
69          // XOR swap
70          firstInitiator[i] ^= firstInitiator[target.ValueIndex];
71          firstInitiator[target.ValueIndex] ^= firstInitiator[i];
72          firstInitiator[i] ^= firstInitiator[target.ValueIndex];
73          solutions.Add(firstInitiator.Clone() as Permutation);
74        }
75        int j = secondInitiator.Length - 1 - i;
76        if (secondInitiator[j] != secondGuide[j]) {
77          var target = secondInitiator.Select((x, index) => new { Value = x, ValueIndex = index }).First(x => x.Value == secondGuide[j]);
78          // XOR swap
79          secondInitiator[j] ^= secondInitiator[target.ValueIndex];
80          secondInitiator[target.ValueIndex] ^= secondInitiator[j];
81          secondInitiator[j] ^= secondInitiator[target.ValueIndex];
82          solutions.Add(secondInitiator.Clone() as Permutation);
83        }
84      }
85
86      IList<IItem> selection = new List<IItem>();
87      if (solutions.Count > 0) {
88        int noSol = (int)(solutions.Count * n.Value);
89        if (noSol <= 0) noSol++;
90        double stepSize = (double)solutions.Count / (double)noSol;
91        for (int i = 0; i < noSol; i++)
92          selection.Add(solutions.ElementAt((int)((i + 1) * stepSize - stepSize * 0.5)));
93      }
94
95      return new ItemArray<IItem>(selection);
96    }
97
98    protected override ItemArray<IItem> Relink(ItemArray<IItem> parents, PercentValue n) {
99      if (parents.Length != 2)
100        throw new ArgumentException("The number of parents is not equal to 2.");
101      return Apply(parents[0], parents[1], n);
102    }
103  }
104}
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