[14162] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2016 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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[15278] | 52 |
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[14162] | 53 | #endregion Properties
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| 54 |
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[15278] | 55 | public int FreeVolume {
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| 56 | get { return BinShape.Volume - Items.Sum(x => x.Value.Volume); }
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| 57 | }
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| 58 |
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[14162] | 59 | protected BinPacking(TBin binShape)
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| 60 | : base() {
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| 61 | Positions = new ObservableDictionary<int, TPos>();
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| 62 | Items = new ObservableDictionary<int, TItem>();
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| 63 | BinShape = (TBin)binShape.Clone();
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[15278] | 64 | ExtremePoints = new SortedSet<TPos>();
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[14162] | 65 | OccupationLayers = new Dictionary<int, List<int>>();
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| 66 | }
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| 67 |
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| 68 | [StorableConstructor]
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| 69 | protected BinPacking(bool deserializing) : base(deserializing) { }
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| 70 | protected BinPacking(BinPacking<TPos, TBin, TItem> original, Cloner cloner)
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| 71 | : base(original, cloner) {
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| 72 | this.Positions = new ObservableDictionary<int, TPos>();
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| 73 | foreach (var kvp in original.Positions) {
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| 74 | Positions.Add(kvp.Key, cloner.Clone(kvp.Value));
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| 75 | }
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| 76 | this.Items = new ObservableDictionary<int, TItem>();
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| 77 | foreach (var kvp in original.Items) {
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| 78 | Items.Add(kvp.Key, cloner.Clone(kvp.Value));
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| 79 | }
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| 80 | this.BinShape = (TBin)original.BinShape.Clone(cloner);
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[15278] | 81 | this.ExtremePoints = new SortedSet<TPos>(original.ExtremePoints.Select(p => cloner.Clone(p)));
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[14162] | 82 | this.OccupationLayers = new Dictionary<int, List<int>>();
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| 83 | foreach (var kvp in original.OccupationLayers) {
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| 84 | OccupationLayers.Add(kvp.Key, new List<int>(kvp.Value));
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| 85 | }
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| 86 | }
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| 87 |
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| 88 | protected abstract void GenerateNewExtremePointsForNewItem(TItem item, TPos position);
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| 89 |
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| 90 | public abstract TPos FindExtremePointForItem(TItem item, bool rotated, bool stackingConstraints);
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[15278] | 91 | public abstract TPos FindPositionBySliding(TItem item, bool rotated, bool stackingConstraints);
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[14162] | 92 |
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[15278] | 93 | public abstract void SlidingBasedPacking(ref IList<int> sequence, IList<TItem> items, bool stackingConstraints);
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| 94 | public abstract void SlidingBasedPacking(ref IList<int> sequence, IList<TItem> items, Dictionary<int, bool> rotationArray, bool stackingConstraints);
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[14162] | 95 | public abstract void ExtremePointBasedPacking(ref IList<int> sequence, IList<TItem> items, bool stackingConstraints);
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| 96 | public abstract void ExtremePointBasedPacking(ref IList<int> sequence, IList<TItem> items, bool stackingConstraints, Dictionary<int, bool> rotationArray);
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| 97 |
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[15278] | 98 | public virtual void PackItem(int itemID, TItem item, TPos position) {
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[14162] | 99 | Items[itemID] = item;
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| 100 | Positions[itemID] = position;
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| 101 | ExtremePoints.Remove(position);
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| 102 | foreach (int id in Items.Select(x => x.Key))
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| 103 | GenerateNewExtremePointsForNewItem(Items[id], Positions[id]);
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[15278] | 104 |
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[14162] | 105 | AddNewItemToOccupationLayers(itemID, item, position);
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| 106 | }
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[15278] | 107 | public virtual bool PackItemIfFeasible(int itemID, TItem item, TPos position, bool stackingConstraints) {
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| 108 | if (IsPositionFeasible(item, position, stackingConstraints)) {
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| 109 | PackItem(itemID, item, position);
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| 110 | return true;
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| 111 | }
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| 112 | return false;
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| 113 | }
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[14162] | 114 |
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| 115 | public double PackingDensity {
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| 116 | get {
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| 117 | double result = 0;
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| 118 | foreach (var entry in Items)
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| 119 | result += entry.Value.Volume;
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| 120 | result /= BinShape.Volume;
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| 121 | return result;
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| 122 | }
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| 123 | }
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| 124 |
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| 125 |
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| 126 | public int PointOccupation(TPos position) {
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| 127 | foreach (var id in GetLayerItemIDs(position)) {
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| 128 | if (Items[id].EnclosesPoint(Positions[id], position))
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| 129 | return id;
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| 130 | }
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| 131 | return -1;
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| 132 | }
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| 133 |
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| 134 | public bool IsPointOccupied(TPos position) {
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| 135 | foreach (var id in GetLayerItemIDs(position)) {
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| 136 | if (Items[id].EnclosesPoint(Positions[id], position))
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| 137 | return true;
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| 138 | }
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| 139 | return false;
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| 140 | }
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[15278] | 141 | public virtual bool IsPositionFeasible(TItem item, TPos position, bool stackingConstraints) {
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[14162] | 142 | //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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| 143 | if (!BinShape.Encloses(position, item))
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| 144 | return false;
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| 145 |
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| 146 | foreach (var id in GetLayerItemIDs(item, position)) {
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| 147 | if (Items[id].Overlaps(Positions[id], position, item))
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| 148 | return false;
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| 149 | }
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| 150 |
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| 151 | return true;
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| 152 | }
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[15278] | 153 |
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[14162] | 154 | public abstract int ShortestPossibleSideFromPoint(TPos position);
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| 155 | public abstract bool IsStaticStable(TItem measures, TPos position);
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| 156 |
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| 157 | protected abstract void InitializeOccupationLayers();
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| 158 | protected abstract void AddNewItemToOccupationLayers(int itemID, TItem item, TPos position);
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| 159 | protected abstract List<int> GetLayerItemIDs(TPos position);
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| 160 | protected abstract List<int> GetLayerItemIDs(TItem item, TPos position);
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| 161 | }
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| 162 | }
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