#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 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.Data;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using System.Drawing;
using System.Collections.Generic;
using HeuristicLab.Problems.VehicleRouting.Encodings.General;
using HeuristicLab.Problems.VehicleRouting.Variants;
using HeuristicLab.Problems.VehicleRouting.Interfaces;
using HeuristicLab.Problems.VehicleRouting.ProblemInstances;
namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
[Item("PotvinEncoding", "Represents a potvin encoding of VRP solutions. 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 class PotvinEncoding : TourEncoding {
[Storable]
public List Unrouted { get; set; }
public PotvinEncoding(IVRPProblemInstance instance)
: base(instance) {
Unrouted = new List();
}
[StorableConstructor]
private PotvinEncoding(bool serializing)
: base(serializing) {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new PotvinEncoding(this, cloner);
}
protected PotvinEncoding(PotvinEncoding original, Cloner cloner)
: base(original, cloner) {
this.Unrouted = new List(original.Unrouted);
}
public static PotvinEncoding ConvertFrom(IVRPEncoding encoding, IVRPProblemInstance instance) {
PotvinEncoding solution = new PotvinEncoding(instance);
TourEncoding.ConvertFrom(encoding, solution, instance);
return solution;
}
public static PotvinEncoding ConvertFrom(List route, IVRPProblemInstance instance) {
PotvinEncoding solution = new PotvinEncoding(instance);
TourEncoding.ConvertFrom(route, solution);
return solution;
}
public double GetTourLength(Tour tour) {
return tour.GetTourLength(ProblemInstance);
}
public int FindBestInsertionPlace(Tour tour, int city) {
int place = -1;
double minQuality = -1;
VRPEvaluation eval = ProblemInstance.Evaluate(tour);
for (int i = 0; i <= tour.Stops.Count; i++) {
bool feasible;
double quality = ProblemInstance.GetInsertionCosts(eval, city, 0, i, out feasible);
if (place < 0 || quality < minQuality) {
place = i;
minQuality = quality;
}
}
if (place == -1)
place = 0;
return place;
}
public bool FindInsertionPlace(int city, int routeToAvoid, bool allowInfeasible, out int route, out int place) {
route = -1;
place = -1;
double minDetour = double.MaxValue;
VRPEvaluation eval = ProblemInstance.Evaluate(this);
bool originalFeasible = ProblemInstance.Feasible(eval);
for (int tour = 0; tour < Tours.Count; tour++) {
if (tour != routeToAvoid) {
double length = eval.Quality;
for (int i = 0; i <= Tours[tour].Stops.Count; i++) {
bool feasible;
double detour = ProblemInstance.GetInsertionCosts(eval, city, tour, i, out feasible);
if (feasible || allowInfeasible) {
if (route < 0 || detour < minDetour) {
route = tour;
place = i;
minDetour = detour;
}
}
}
}
}
return route >= 0 && place >= 0;
}
}
}