#region License Information /* HeuristicLab * Copyright (C) 2002-2012 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Data; namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin { [Item("PotvinSequenceBasedCrossover", "The SBX crossover for a VRP representations. It is implemented as described in Potvin, J.-Y. and Bengio, S. (1996). The Vehicle Routing Problem with Time Windows - Part II: Genetic Search. INFORMS Journal of Computing, 8:165–172.")] [StorableClass] public sealed class PotvinSequenceBasedCrossover : PotvinCrossover { [StorableConstructor] private PotvinSequenceBasedCrossover(bool deserializing) : base(deserializing) { } private PotvinSequenceBasedCrossover(PotvinSequenceBasedCrossover original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new PotvinSequenceBasedCrossover(this, cloner); } public PotvinSequenceBasedCrossover() : base() { } protected override PotvinEncoding Crossover(IRandom random, PotvinEncoding parent1, PotvinEncoding parent2) { BoolValue useDistanceMatrix = UseDistanceMatrixParameter.ActualValue; DoubleMatrix coordinates = CoordinatesParameter.ActualValue; DistanceMatrix distMatrix = VRPUtilities.GetDistanceMatrix(coordinates, DistanceMatrixParameter, useDistanceMatrix); DoubleArray dueTime = DueTimeParameter.ActualValue; DoubleArray readyTime = ReadyTimeParameter.ActualValue; DoubleArray serviceTime = ServiceTimeParameter.ActualValue; DoubleArray demand = DemandParameter.ActualValue; DoubleValue capacity = CapacityParameter.ActualValue; bool allowInfeasible = AllowInfeasibleSolutions.Value.Value; PotvinEncoding child = parent1.Clone() as PotvinEncoding; Tour newTour = new Tour(); int breakPoint1 = random.Next(1, Cities + 1); Tour tour1 = FindRoute(child, breakPoint1); breakPoint1 = tour1.Cities.IndexOf(breakPoint1); for (int i = 0; i < breakPoint1; i++) newTour.Cities.Add(tour1.Cities[i]); int breakPoint2 = random.Next(1, Cities + 1); Tour tour2 = FindRoute(parent2, breakPoint2); breakPoint2 = tour2.Cities.IndexOf(breakPoint2); for (int i = breakPoint2; i < tour2.Cities.Count; i++) newTour.Cities.Add(tour2.Cities[i]); child.Tours.Remove(tour1); child.Tours.Add(newTour); foreach (int city in tour1.Cities) if (FindRoute(child, city) == null && !child.Unrouted.Contains(city)) child.Unrouted.Add(city); foreach (int city in tour2.Cities) if (FindRoute(child, city) == null && !child.Unrouted.Contains(city)) child.Unrouted.Add(city); if (Repair(random, child, newTour, distMatrix, dueTime, readyTime, serviceTime, demand, capacity, allowInfeasible) || allowInfeasible) { return child; } else { if (random.NextDouble() < 0.5) return parent1.Clone() as PotvinEncoding; else return parent2.Clone() as PotvinEncoding; } } } }