[9348] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[13032] | 3 | * Copyright (C) 2002-2015 Joseph Helm and Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[9348] | 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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[14146] | 22 | using System;
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| 23 | using System.Linq;
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[9348] | 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 26 | using HeuristicLab.Common;
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| 27 |
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[14046] | 28 | namespace HeuristicLab.Problems.BinPacking2D {
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[14146] | 29 | [Item("Packing-Ratio Evaluator (2d)", "Calculates the ratio between packed and unpacked space.")]
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[9348] | 30 | [StorableClass]
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[14146] | 31 | public class PackingRatioEvaluator : Item, IEvaluator {
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[9348] | 32 |
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| 33 | [StorableConstructor]
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[14146] | 34 | protected PackingRatioEvaluator(bool deserializing) : base(deserializing) { }
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| 35 | protected PackingRatioEvaluator(PackingRatioEvaluator original, Cloner cloner)
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[9348] | 36 | : base(original, cloner) {
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| 37 | }
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[14050] | 38 | public PackingRatioEvaluator() : base() { }
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[9348] | 39 | public override IDeepCloneable Clone(Cloner cloner) {
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[14050] | 40 | return new PackingRatioEvaluator(this, cloner);
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[9348] | 41 | }
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[14146] | 42 |
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| 43 | #region IEvaluator Members
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| 44 | public double Evaluate(Solution solution) {
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| 45 | return CalculatePackingRatio(solution);
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| 46 | }
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| 47 |
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| 48 | /*
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| 49 | Falkenauer:1996 - A Hybrid Grouping Genetic Algorithm for Bin Packing
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| 50 |
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| 51 | fBPP = (SUM[i=1..N](Fi / C)^k)/N
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| 52 | N.......the number of bins used in the solution,
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| 53 | Fi......the sum of sizes of the items in the bin i (the fill of the bin),
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| 54 | C.......the bin capacity and
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| 55 | k.......a constant, k>1.
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| 56 | */
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| 57 | public static double CalculatePackingRatio(Solution solution) {
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| 58 | int nrOfBins = solution.NrOfBins;
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| 59 | double result = 0;
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| 60 | const double k = 2;
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| 61 | for (int i = 0; i < nrOfBins; i++) {
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[14154] | 62 | double f = solution.BinPackings[i].Items.Sum(kvp => kvp.Value.Volume);
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| 63 | double c = solution.BinPackings[i].BinShape.Volume;
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[14146] | 64 | result += Math.Pow(f / c, k);
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| 65 | }
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| 66 |
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| 67 | result = result / nrOfBins;
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| 68 | return result;
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| 69 | }
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| 70 |
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| 71 | #endregion
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[9348] | 72 | }
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| 73 | }
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