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source: branches/FitnessLandscapeAnalysis/HeuristicLab.Analysis.FitnessLandscape.VRP/Manipulators/TwoOptManipulator.cs @ 8191

Last change on this file since 8191 was 7159, checked in by epitzer, 13 years ago

#1703 correct some typos

File size: 3.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Collections.Generic;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Data;
27using HeuristicLab.Parameters;
28using HeuristicLab.Problems.VehicleRouting.Encodings.Potvin;
29using HeuristicLab.Problems.VehicleRouting.Encodings;
30using HeuristicLab.Problems.VehicleRouting;
31using System;
32
33namespace HeuristicLab.Analysis.FitnessLandscape.VRP {
34  [Item("TwoOptManipulator", "Two opt manipulation")]
35  [StorableClass]
36  public sealed class TwoOptManipulator : PotvinManipulator {
37    [StorableConstructor]
38    private TwoOptManipulator(bool deserializing) : base(deserializing) { }
39    private TwoOptManipulator(TwoOptManipulator original, Cloner cloner)
40      : base(original, cloner) {
41    }
42    public override IDeepCloneable Clone(Cloner cloner) {
43      return new TwoOptManipulator(this, cloner);
44    }
45    public TwoOptManipulator()
46      : base() {
47    }
48
49    public static void Apply(IRandom random, PotvinEncoding individual) {
50      List<Tour> tours = individual.Tours.FindAll(t => t.Cities.Count >= 4);
51
52      if (tours.Count > 0) {
53        int tourIdx = random.Next(tours.Count);
54        Tour tour = tours[tourIdx];
55
56        int a;
57        if (tour.Cities.Count == 4) {
58            a = 0;
59        } else if (tour.Cities.Count == 5) {
60          int idx = random.Next(4);
61          if (idx >= 2)
62            idx++;
63          a = idx;
64        } else {
65          a = random.Next(tour.Cities.Count);
66        }
67
68        int b;
69        List<int> indices = new List<int>();
70        for (int i = 0; i < tour.Cities.Count; i++) {
71          if (Math.Abs(i - a) > 2) {
72            indices.Add(i);
73          }
74        }
75        b = indices[random.Next(indices.Count)];
76
77        if (b < a) {
78          int tmp = a;
79          a = b;
80          b = tmp;
81        }
82
83        int index = a + 1;
84        int count = b - a - 1;
85        List<int> segment = tour.Cities.GetRange(index, count);
86        tour.Cities.RemoveRange(index, count);
87        segment.Reverse();
88        tour.Cities.InsertRange(index, segment);
89      }
90    }
91
92    protected override void Manipulate(IRandom random, PotvinEncoding individual) {
93      Apply(random, individual);
94    }
95  }
96}
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