1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2015 Joseph Helm and Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Common;
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28 | using HeuristicLab.Collections;
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29 |
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30 | namespace HeuristicLab.Problems.BinPacking {
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31 | [Item("BinPacking", "Represents a single-bin packing for a bin-packing problem.")]
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32 | [StorableClass]
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33 | public abstract class BinPacking<TPos, TBin, TItem> : Item
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34 | where TPos : class, IPackingPosition
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35 | where TBin : PackingShape<TPos>
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36 | where TItem : PackingShape<TPos> {
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37 | #region Properties
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38 | [Storable]
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39 | public ObservableDictionary<int, TPos> Positions { get; private set; }
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40 |
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41 | [Storable]
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42 | public ObservableDictionary<int, TItem> Items { get; private set; }
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43 |
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44 | [Storable]
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45 | public TBin BinShape { get; private set; }
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46 |
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47 | [Storable]
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48 | public SortedSet<TPos> ExtremePoints { get; protected set; }
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49 |
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50 | [Storable]
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51 | protected Dictionary<int, List<int>> OccupationLayers { get; set; }
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52 |
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53 | #endregion Properties
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54 |
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55 | protected BinPacking(TBin binShape)
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56 | : base() {
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57 | Positions = new ObservableDictionary<int, TPos>();
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58 | Items = new ObservableDictionary<int, TItem>();
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59 | BinShape = (TBin)binShape.Clone();
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60 | OccupationLayers = new Dictionary<int, List<int>>();
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61 | }
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62 |
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63 |
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64 | [StorableConstructor]
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65 | protected BinPacking(bool deserializing) : base(deserializing) { }
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66 | protected BinPacking(BinPacking<TPos, TBin, TItem> original, Cloner cloner)
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67 | : base(original, cloner) {
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68 | this.Positions = new ObservableDictionary<int, TPos>();
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69 | foreach (var kvp in original.Positions) {
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70 | Positions.Add(kvp.Key, cloner.Clone(kvp.Value));
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71 | }
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72 | this.Items = new ObservableDictionary<int, TItem>();
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73 | foreach (var kvp in original.Items) {
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74 | Items.Add(kvp.Key, cloner.Clone(kvp.Value));
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75 | }
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76 | this.BinShape = (TBin)original.BinShape.Clone(cloner);
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77 | this.OccupationLayers = new Dictionary<int, List<int>>();
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78 | foreach (var kvp in original.OccupationLayers) {
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79 | OccupationLayers.Add(kvp.Key, new List<int>(kvp.Value));
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80 | }
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81 | }
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82 |
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83 | protected abstract void GenerateNewExtremePointsForNewItem(TItem item, TPos position);
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84 |
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85 | public abstract TPos FindExtremePointForItem(TItem item, bool rotated, bool stackingConstraints);
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86 | public abstract TPos FindPositionBySliding(TItem item, bool rotated);
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87 |
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88 | public abstract void SlidingBasedPacking(ref IList<int> sequence, IList<TItem> items);
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89 | public abstract void SlidingBasedPacking(ref IList<int> sequence, IList<TItem> items, Dictionary<int, bool> rotationArray);
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90 | public abstract void ExtremePointBasedPacking(ref IList<int> sequence, IList<TItem> items, bool stackingConstraints);
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91 | public abstract void ExtremePointBasedPacking(ref IList<int> sequence, IList<TItem> items, bool stackingConstraints, Dictionary<int, bool> rotationArray);
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92 |
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93 | public void PackItem(int itemID, TItem item, TPos position) {
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94 | Items[itemID] = item;
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95 | Positions[itemID] = position;
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96 | ExtremePoints.Remove(position);
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97 | foreach (int id in Items.Select(x => x.Key))
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98 | GenerateNewExtremePointsForNewItem(Items[id], Positions[id]);
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99 |
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100 | AddNewItemToOccupationLayers(itemID, item, position);
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101 | }
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102 |
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103 | public double PackingDensity {
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104 | get {
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105 | double result = 0;
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106 | foreach (var entry in Items)
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107 | result += entry.Value.Volume;
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108 | result /= BinShape.Volume;
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109 | return result;
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110 | }
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111 | }
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112 |
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113 |
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114 | public int PointOccupation(TPos position) {
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115 | foreach (var id in GetLayerItemIDs(position)) {
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116 | if (Items[id].EnclosesPoint(Positions[id], position))
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117 | return id;
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118 | }
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119 | return -1;
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120 | }
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121 |
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122 | public bool IsPointOccupied(TPos position) {
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123 | foreach (var id in GetLayerItemIDs(position)) {
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124 | if (Items[id].EnclosesPoint(Positions[id], position))
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125 | return true;
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126 | }
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127 | return false;
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128 | }
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129 | public bool IsPositionFeasible(TItem item, TPos position) {
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130 | //In this case feasability is defined as following: 1. the item fits into the bin-borders; 2. the point is supported by something; 3. the item does not collide with another already packed item
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131 | if (!BinShape.Encloses(position, item))
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132 | return false;
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133 |
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134 | foreach (var id in GetLayerItemIDs(item, position)) {
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135 | if (Items[id].Overlaps(Positions[id], position, item))
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136 | return false;
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137 | }
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138 |
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139 | return true;
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140 | }
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141 | public abstract int ShortestPossibleSideFromPoint(TPos position);
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142 | public abstract bool IsStaticStable(TItem measures, TPos position);
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143 |
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144 |
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145 | protected abstract void InitializeOccupationLayers();
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146 | protected abstract void AddNewItemToOccupationLayers(int itemID, TItem item, TPos position);
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147 | protected abstract List<int> GetLayerItemIDs(TPos position);
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148 | protected abstract List<int> GetLayerItemIDs(TItem item, TPos position);
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149 | }
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150 | }
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