1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 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 System.Text;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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28 | using HeuristicLab.Problems.BinPacking.Interfaces;
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29 | using HeuristicLab.Problems.BinPacking.Shapes;
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30 | using HeuristicLab.Data;
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31 | using HeuristicLab.Common;
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32 | using HeuristicLab.Encodings.PackingEncoding.PackingPlan;
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33 |
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34 | namespace HeuristicLab.Problems.BinPacking.Evaluators {
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35 | [Item("Packing-Ratio Regular Identical-Bin Evaluator", "Represents an evaluation-algorithm for regular-shaped bin-packing problems with identical bins which calculates the ratio between packed and unpacked space. Found in Falkenauer:1996")]
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36 | [StorableClass]
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37 | public abstract class PackingRatioRegularIdenticalBinEvaluator<D, B, I> : RegularSimpleRotationIdenticalBinPackingPlanEvaluator<D, B, I>
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38 | where D : class, IPackingDimensions
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39 | where B : PackingShape<D>, IPackingBin, IRegularPackingShape
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40 | where I : PackingShape<D>, IPackingItem, IRegularPackingShape {
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41 |
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42 | [StorableConstructor]
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43 | protected PackingRatioRegularIdenticalBinEvaluator(bool deserializing) : base(deserializing) { }
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44 | protected PackingRatioRegularIdenticalBinEvaluator(PackingRatioRegularIdenticalBinEvaluator<D, B, I> original, Cloner cloner)
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45 | : base(original, cloner) {
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46 | }
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47 | public PackingRatioRegularIdenticalBinEvaluator() : base() { }
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48 |
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49 | protected override DoubleValue Evaluate() {
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50 | DoubleValue quality = new DoubleValue(0);
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51 |
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52 | IPackingPlan plan = PackingPlanParameter.ActualValue;
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53 | B binMeasure = PackingBinMeasuresParameter.ActualValue;
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54 | ItemList<I> itemMeasures = PackingItemMeasuresParameter.ActualValue;
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55 |
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56 |
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57 | //Check if data is valid
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58 | //if (plan.PackingItemPositions.Count != itemMeasures.Count)
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59 | // throw new Exception("ERROR: ItemMeasures.count does not match packingPosition.count");
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60 |
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61 |
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62 | ////Check if any items are overlapping or not contained in their bins
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63 | //bool itemPositionsAreValid = !HasOverlappingOrNotContainedItems(plan.PackingItemPositions, binMeasure, itemMeasures, nrOfBins);
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64 |
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65 |
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66 |
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67 | //if (itemPositionsAreValid)
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68 | return CalculatePackingRatio(plan as PackingPlan<D, B, I>);
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69 |
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70 | //return quality;
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71 | }
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72 |
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73 | /*
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74 | Falkenauer:1996 - A Hybrid Grouping Genetic Algorithm for Bin Packing
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75 |
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76 | fBPP = (SUM[i=1..N](Fi / C)^k)/N
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77 | N.......the number of bins used in the solution,
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78 | Fi......the sum of sizes of the items in the bin i (the fill of the bin),
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79 | C.......the bin capacity and
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80 | k.......a constant, k>1.
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81 | */
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82 | public static DoubleValue CalculatePackingRatio(PackingPlan<D, B, I> plan) {
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83 | int nrOfBins = plan.NrOfBins;
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84 | double result = 0;
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85 |
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86 | //C
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87 | //double usableSpace = binMeasure.MultipliedMeasures;
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88 | //nrOfBins = N
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89 | for (int i = 0; i < nrOfBins; i++) {
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90 | //C
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91 | //double usableSpace = plan.GetPackingBinMeasuresForBinNr(0).MultipliedMeasures;//plan.GetPackingBinMeasuresForBinNr(i).MultipliedMeasures;
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92 | //var indexes = plan.PackingItemPositions.Select((Value, Index) => new { Value, Index }).Where(s => s.Value.Value.AssignedBin == i).Select(s => s.Index);
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93 | //var packedItemsInThisBin = plan.PackingItemMeasures.Select((Value, Index) => new { Value, Index }).Where(s => indexes.Contains(s.Index));
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94 | //Fi
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95 | //double usedSpaceInThisBin = packedItemsInThisBin.Select(s => s.Value.MultipliedMeasures).Sum();
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96 | //k = 2 --> (Fi/C)*(Fi/C)
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97 | //result += (((usedSpaceInThisBin) / (usableSpace)) * ((usedSpaceInThisBin) / (usableSpace))) / (i*i + 1);
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98 | var PD = plan.BinPackings[i].PackingDensity;
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99 | result += (PD * PD) / (i + 1);
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100 | }
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101 |
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102 | result = result / nrOfBins;
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103 | return new DoubleValue (result);
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104 | }
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105 | }
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106 | }
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