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source: branches/ScatterSearch (trunk integration)/HeuristicLab.Problems.Knapsack/3.3/PathRelinkers/KnapsackMultipleGuidesPathRelinker.cs @ 7789

Last change on this file since 7789 was 7789, checked in by jkarder, 12 years ago

#1331:

  • added Scatter Search algorithm
  • added problem specific operators for improvement, path relinking and similarity calculation
  • adjusted event handling
File size: 3.6 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.BinaryVectorEncoding;
29using HeuristicLab.Optimization.Operators;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31
32namespace HeuristicLab.Problems.Knapsack {
33  /// <summary>
34  /// An operator that relinks paths between knapsack solutions using a multiple guiding strategy.
35  /// </summary>
36  [Item("KnapsackMultipleGuidesPathRelinker", "An operator that relinks paths between knapsack solutions using a multiple guiding strategy.")]
37  [StorableClass]
38  public sealed class KnapsackMultipleGuidesPathRelinker : PathRelinker {
39    [StorableConstructor]
40    private KnapsackMultipleGuidesPathRelinker(bool deserializing) : base(deserializing) { }
41    private KnapsackMultipleGuidesPathRelinker(KnapsackMultipleGuidesPathRelinker original, Cloner cloner) : base(original, cloner) { }
42    public KnapsackMultipleGuidesPathRelinker() : base() { }
43
44    public override IDeepCloneable Clone(Cloner cloner) {
45      return new KnapsackMultipleGuidesPathRelinker(this, cloner);
46    }
47
48    public static ItemArray<IItem> Apply(IItem initiator, IItem[] guides, PercentValue n) {
49      if (!(initiator is BinaryVector) || guides.Any(x => !(x is BinaryVector)))
50        throw new ArgumentException("Cannot relink path because some of the provided solutions have the wrong type.");
51      if (n.Value <= 0.0)
52        throw new ArgumentException("RelinkingAccuracy must be greater than 0.");
53
54      BinaryVector v1 = initiator.Clone() as BinaryVector;
55      BinaryVector[] targets = new BinaryVector[guides.Length];
56      Array.Copy(guides, targets, guides.Length);
57
58      if (targets.Any(x => x.Length != v1.Length))
59        throw new ArgumentException("At least one solution is of different length.");
60
61      IList<BinaryVector> solutions = new List<BinaryVector>();
62      for (int i = 0; i < v1.Length; i++) {
63        // TODO: path relinking
64      }
65
66      IList<IItem> selection = new List<IItem>();
67      if (solutions.Count > 0) {
68        int noSol = (int)(solutions.Count * n.Value);
69        if (noSol <= 0) noSol++;
70        double stepSize = (double)solutions.Count / (double)noSol;
71        for (int i = 0; i < noSol; i++)
72          selection.Add(solutions.ElementAt((int)((i + 1) * stepSize - stepSize * 0.5)));
73      }
74
75      return new ItemArray<IItem>(selection);
76    }
77
78    protected override ItemArray<IItem> Relink(ItemArray<IItem> parents, PercentValue n) {
79      if (parents.Length < 2)
80        throw new ArgumentException("The number of parents is smaller than 2.");
81      return Apply(parents[0], parents.Skip(1).ToArray(), n);
82    }
83  }
84}
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