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source: branches/ScatterSearch/HeuristicLab.Algorithms.ScatterSearch/3.3/Knapsack/KnapsackMultipleGuidesPathRelinker.cs @ 7786

Last change on this file since 7786 was 7786, checked in by jkarder, 12 years ago

#1331:

  • fixed bug in path relinking selection
  • fixed bug in ScatterSearch.Prepare()
  • added custom interface (IImprovementOperator) for Scatter Search specific improvement operators
  • switched from diversity calculation to similarity calculation
  • separated IPathRelinker from ICrossover
  • changed TestFunctionsImprovementOperator to use reflection for evaluating functions
  • changed SolutionPoolUpdateMethod to use similarity calculation for solution comparison
  • improved TravelingSalesmanImprovementOperator
  • improved operator graph
  • removed specific operators used to evaluate TestFunctions problems
  • removed custom crossover operator (NChildCrossover)
  • added parameters and adjusted types
  • adjusted event handling
  • changed access levels
  • minor code improvements
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.Persistence.Default.CompositeSerializers.Storable;
30
31namespace HeuristicLab.Algorithms.ScatterSearch.Knapsack {
32  /// <summary>
33  /// An operator that relinks paths between knapsack solutions using a multiple guiding strategy.
34  /// </summary>
35  [Item("KnapsackMultipleGuidesPathRelinker", "An operator that relinks paths between knapsack solutions using a multiple guiding strategy.")]
36  [StorableClass]
37  public sealed class KnapsackMultipleGuidesPathRelinker : PathRelinker {
38    [StorableConstructor]
39    private KnapsackMultipleGuidesPathRelinker(bool deserializing) : base(deserializing) { }
40    private KnapsackMultipleGuidesPathRelinker(KnapsackMultipleGuidesPathRelinker original, Cloner cloner) : base(original, cloner) { }
41    public KnapsackMultipleGuidesPathRelinker()
42      : base() {
43      ParentsParameter.ActualName = "KnapsackSolution";
44    }
45
46    public override IDeepCloneable Clone(Cloner cloner) {
47      return new KnapsackMultipleGuidesPathRelinker(this, cloner);
48    }
49
50    public static ItemArray<IItem> Apply(IItem initiator, IItem[] guides, PercentValue n) {
51      if (!(initiator is BinaryVector) || guides.Any(x => !(x is BinaryVector)))
52        throw new ArgumentException("Cannot relink path because some of the provided solutions have the wrong type.");
53      if (n.Value <= 0.0)
54        throw new ArgumentException("RelinkingAccuracy must be greater than 0.");
55
56      BinaryVector v1 = initiator.Clone() as BinaryVector;
57      BinaryVector[] targets = new BinaryVector[guides.Length];
58      Array.Copy(guides, targets, guides.Length);
59
60      if (targets.Any(x => x.Length != v1.Length))
61        throw new ArgumentException("At least one solution is of different length.");
62
63      IList<BinaryVector> solutions = new List<BinaryVector>();
64      for (int i = 0; i < v1.Length; i++) {
65        // TODO: path relinking
66      }
67
68      IList<IItem> selection = new List<IItem>();
69      if (solutions.Count > 0) {
70        int noSol = (int)(solutions.Count * n.Value);
71        if (noSol <= 0) noSol++;
72        double stepSize = (double)solutions.Count / (double)noSol;
73        for (int i = 0; i < noSol; i++)
74          selection.Add(solutions.ElementAt((int)((i + 1) * stepSize - stepSize * 0.5)));
75      }
76
77      return new ItemArray<IItem>(selection);
78    }
79
80    protected override ItemArray<IItem> Relink(ItemArray<IItem> parents, PercentValue n) {
81      if (parents.Length < 2)
82        throw new ArgumentException("The number of parents is smaller than 2.");
83      return Apply(parents[0], parents.Skip(1).ToArray(), n);
84    }
85  }
86}
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