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source: branches/HeuristicLab.BinPacking/HeuristicLab.Problems.BinPacking/3.3/Encodings/MultiComponentVector/BinBasedMultiComponentVectorCrossover.cs @ 9593

Last change on this file since 9593 was 9563, checked in by jhelm, 11 years ago

#1966: Implemented additional Operator-Wrappers for PackingSequence and GroupingVector; Implemented additional problem-class for Rosenbauer-Problemstatement; Added marker-interfaces for decoder-types;

File size: 4.2 KB
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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 HeuristicLab.Collections;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28using HeuristicLab.Problems.BinPacking.Interfaces;
29
30namespace HeuristicLab.Encodings.PackingEncoding.MultiComponentVector {
31  [Item("Bin Based Multi Component Vector Crossover", "An operator which crosses two MultiComponentVector representations. The applied strategy is based on the RBX crossover proposed by Potvin.")]
32  [StorableClass]
33  public class BinBasedMultiComponentVectorCrossover :  MultiComponentVectorCrossover {
34    [StorableConstructor]
35    protected BinBasedMultiComponentVectorCrossover (bool deserializing) : base(deserializing) { }
36    protected BinBasedMultiComponentVectorCrossover (BinBasedMultiComponentVectorCrossover  original, Cloner cloner) : base(original, cloner) { }
37    public BinBasedMultiComponentVectorCrossover ()
38      : base() {
39    }
40    public override IDeepCloneable Clone(Cloner cloner) {
41      return new BinBasedMultiComponentVectorCrossover (this, cloner);
42    }
43
44    public override MultiComponentVectorEncoding Cross(IRandom random, MultiComponentVectorEncoding parent1, MultiComponentVectorEncoding parent2) {
45      MultiComponentVectorEncoding child = new MultiComponentVectorEncoding();
46      int nrOfItems = parent1.NrOfItems;
47      bool[] itemAlreadyAssigned = new bool[nrOfItems];
48
49      bool useParent2 = false;
50      int nrOfBins = parent1.NrOfBins > parent2.NrOfBins ? parent2.NrOfBins : parent1.NrOfBins;
51
52
53      for (int binNr = 0; binNr < nrOfBins; binNr++) {
54        MultiComponentVectorEncoding currentParent1 = useParent2 ? parent2 : parent1;
55        MultiComponentVectorEncoding currentParent2 = useParent2 ? parent1 : parent2;
56
57
58        var newBin = new ItemList<PackingInformation>();
59        double crossPointPercent = 0;
60
61        int nrOfItems1 = currentParent1.PackingInformations[binNr].Count;
62        if (nrOfItems1 > 0) {
63          double crossPoint1 = random.Next(nrOfItems1);
64          crossPointPercent = crossPoint1 / nrOfItems1;
65          for (int i = 0; i < crossPoint1; i++) {
66            PackingInformation pi = new PackingInformation(currentParent1.PackingInformations[binNr][i]);
67            if (!itemAlreadyAssigned[pi.ItemID]) {
68              itemAlreadyAssigned[pi.ItemID] = true;
69              newBin.Add(new PackingInformation(pi));
70            }
71          }
72        }
73
74        int nrOfItems2 = currentParent2.PackingInformations[binNr].Count;
75        if (nrOfItems2 > 0) {
76          int crossPoint2 = Convert.ToInt32(nrOfItems2 * crossPointPercent);
77          for (int i = crossPoint2; i < nrOfItems2; i++) {
78            PackingInformation pi = new PackingInformation(currentParent2.PackingInformations[binNr][i]);
79            if (!itemAlreadyAssigned[pi.ItemID]) {
80              itemAlreadyAssigned[pi.ItemID] = true;
81              newBin.Add(new PackingInformation(pi));
82            }
83          }
84        }
85
86        child.PackingInformations[binNr] = newBin;
87        useParent2 = !useParent2;
88      }
89
90      for (int itemID = 0; itemID < nrOfItems; itemID++) {
91        if (!itemAlreadyAssigned[itemID])
92          child.PackingInformations[0].Add(new PackingInformation(itemID, random.Next(2) == 0 ? true : false));
93      }
94
95     
96      return child;
97    }       
98  }
99}
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