#region License Information /* HeuristicLab * Copyright (C) 2002-2018 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.Collections.Generic; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Problems.VehicleRouting.Encodings.General; using HeuristicLab.Problems.VehicleRouting.Interfaces; using HeuristicLab.Problems.VehicleRouting.Variants; namespace HeuristicLab.Problems.VehicleRouting.Encodings.GVR { [Item("GVREncoding", "Represents a potvin encoding of VRP solutions. It is implemented as described in Pereira, F.B. et al (2002). GVR: a New Genetic Representation for the Vehicle Routing Problem. AICS 2002, LNAI 2464, pp. 95-102.")] [StorableClass] public class GVREncoding : TourEncoding { public override List GetTours() { List tours = new List(); foreach (Tour tour in base.Tours) { Tour newTour = new Tour(); double currentDemand = 0; DoubleValue capacity = new DoubleValue(double.MaxValue); if (ProblemInstance is IHomogenousCapacitatedProblemInstance) { capacity.Value = (ProblemInstance as IHomogenousCapacitatedProblemInstance).Capacity.Value; } foreach (int city in tour.Stops) { currentDemand += ProblemInstance.GetDemand(city); if (currentDemand > capacity.Value) { if (newTour.Stops.Count > 0) tours.Add(newTour); newTour = new Tour(); newTour.Stops.Add(city); currentDemand = ProblemInstance.GetDemand(city); } else { newTour.Stops.Add(city); } } if (newTour.Stops.Count > 0) tours.Add(newTour); } //repair if there are too many vehicles used while (tours.Count > ProblemInstance.Vehicles.Value) { Tour tour = tours[tours.Count - 1]; tours[tours.Count - 2].Stops.AddRange(tour.Stops); tours.Remove(tour); } return tours; } public GVREncoding(IVRPProblemInstance problemInstance) : base(problemInstance) { } [StorableConstructor] protected GVREncoding(bool serializing) : base(serializing) { } public override IDeepCloneable Clone(Cloner cloner) { return new GVREncoding(this, cloner); } protected GVREncoding(GVREncoding original, Cloner cloner) : base(original, cloner) { } public static GVREncoding ConvertFrom(IVRPEncoding encoding, IVRPProblemInstance problemInstance) { GVREncoding solution = new GVREncoding(problemInstance); TourEncoding.ConvertFrom(encoding, solution, problemInstance); return solution; } public static GVREncoding ConvertFrom(List route, IVRPProblemInstance problemInstance) { GVREncoding solution = new GVREncoding(problemInstance); TourEncoding.ConvertFrom(route, solution); return solution; } internal void FindCustomer(int customer, out Tour tour, out int index) { tour = null; index = -1; int currentTour = 0; while (tour == null && currentTour < Tours.Count) { int currentCity = 0; while (tour == null && currentCity < Tours[currentTour].Stops.Count) { if (Tours[currentTour].Stops[currentCity] == customer) { tour = Tours[currentTour]; index = currentCity; } currentCity++; } currentTour++; } } } }