#region License Information /* HeuristicLab * Copyright (C) 2002-2015 Joseph Helm and Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Linq; using HeuristicLab.Core; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Common; namespace HeuristicLab.Problems.BinPacking3D { // NOTE: same implementation as for 2d problem [Item("Packing-Ratio Evaluator (3d)", "Calculates the ratio between packed and unpacked space.")] [StorableClass] public class PackingRatioEvaluator : Item, IEvaluator { [StorableConstructor] protected PackingRatioEvaluator(bool deserializing) : base(deserializing) { } protected PackingRatioEvaluator(PackingRatioEvaluator original, Cloner cloner) : base(original, cloner) { } public PackingRatioEvaluator() : base() { } public override IDeepCloneable Clone(Cloner cloner) { return new PackingRatioEvaluator(this, cloner); } #region IEvaluator Members public double Evaluate(Solution solution) { return CalculatePackingRatio(solution); } /* Falkenauer:1996 - A Hybrid Grouping Genetic Algorithm for Bin Packing fBPP = (SUM[i=1..N](Fi / C)^k)/N N.......the number of bins used in the solution, Fi......the sum of sizes of the items in the bin i (the fill of the bin), C.......the bin capacity and k.......a constant, k>1. */ public static double CalculatePackingRatio(Solution solution) { int nrOfBins = solution.NrOfBins; double result = 0; const double k = 2; for (int i = 0; i < nrOfBins; i++) { double f = solution.BinPackings[i].Items.Sum(kvp => kvp.Value.Volume); double c = solution.BinPackings[i].BinShape.Volume; result += Math.Pow(f / c, k); } result = result / nrOfBins; return result; } #endregion } }