#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 System;
using System.Collections.Generic;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.VehicleRouting.Encodings.General;
namespace HeuristicLab.Problems.VehicleRouting.Encodings.Prins {
[Item("PrinsEncoding", "Represents an Prins encoding of VRP solutions. It is implemented as described in Prins, C. (2004). A simple and effective evolutionary algorithm for the vehicle routing problem. Computers & Operations Research, 12:1985-2002.")]
[StorableClass]
public class PrinsEncoding : PermutationEncoding {
[Storable]
private int cities;
[Storable]
private DoubleMatrix coordinates;
[Storable]
private BoolValue useDistanceMatrix;
[Storable]
DoubleArray dueTimeArray;
[Storable]
DoubleArray serviceTimeArray;
[Storable]
DoubleArray readyTimeArray;
[Storable]
DoubleArray demandArray;
[Storable]
DoubleValue capacity;
[Storable]
DoubleValue fleetUsageFactor;
[Storable]
DoubleValue timeFactor;
[Storable]
DoubleValue distanceFactor;
[Storable]
DoubleValue overloadPenalty;
[Storable]
DoubleValue tardinessPenalty;
#region IVRPEncoding Members
public override List GetTours(ILookupParameter distanceMatrix, int maxVehicles = int.MaxValue) {
List result = new List();
//Split permutation into vector P
int[] P = new int[cities + 1];
for (int i = 0; i <= cities; i++)
P[i] = -1;
double[] V = new double[cities + 1];
V[0] = 0;
for (int i = 1; i <= cities; i++) {
V[i] = int.MaxValue;
}
for (int i = 1; i <= cities; i++) {
int j = i;
Tour tour = new Tour();
bool feasible = true;
do {
tour.Cities.Add(this[j-1] + 1);
TourEvaluation eval = VRPEvaluator.EvaluateTour(tour,
dueTimeArray,
serviceTimeArray,
readyTimeArray,
demandArray,
capacity,
fleetUsageFactor,
timeFactor,
distanceFactor,
overloadPenalty,
tardinessPenalty,
coordinates,
distanceMatrix,
useDistanceMatrix);
double cost = eval.Quality;
feasible = eval.Overload < double.Epsilon && eval.Tardiness < double.Epsilon;
if (feasible) {
if (V[i - 1] + cost < V[j]) {
V[j] = V[i - 1] + cost;
P[j] = i - 1;
}
j++;
}
} while (j <= cities && feasible);
}
//extract VRP solution from vector P
int index = 0;
int index2 = cities;
Tour trip = null;
do {
index = P[index2];
trip = new Tour();
for (int k = index + 1; k <= index2; k++) {
trip.Cities.Add(this[k - 1] + 1);
}
if (trip.Cities.Count > 0)
result.Add(trip);
index2 = index;
} while (index != 0);
//if there are too many vehicles - repair
while (result.Count > maxVehicles) {
Tour tour = result[result.Count - 1];
//find predecessor / successor in permutation
int predecessorIndex = Array.IndexOf(this.array, tour.Cities[0] - 1) - 1;
if (predecessorIndex >= 0) {
int predecessor = this[predecessorIndex] + 1;
foreach (Tour t in result) {
int insertPosition = t.Cities.IndexOf(predecessor) + 1;
if (insertPosition != -1) {
t.Cities.InsertRange(insertPosition, tour.Cities);
break;
}
}
} else {
int successorIndex = Array.IndexOf(this.array,
tour.Cities[tour.Cities.Count - 1] - 1) + 1;
int successor = this[successorIndex] + 1;
foreach (Tour t in result) {
int insertPosition = t.Cities.IndexOf(successor);
if (insertPosition != -1) {
t.Cities.InsertRange(insertPosition, tour.Cities);
break;
}
}
}
result.Remove(tour);
}
return result;
}
#endregion
[StorableConstructor]
protected PrinsEncoding(bool deserializing) : base(deserializing) { }
protected PrinsEncoding(PrinsEncoding original, Cloner cloner)
: base(original, cloner) {
this.cities = original.cities;
this.dueTimeArray = original.dueTimeArray;
this.serviceTimeArray = original.serviceTimeArray;
this.readyTimeArray = original.readyTimeArray;
this.demandArray = original.demandArray;
this.capacity = original.capacity;
this.fleetUsageFactor = original.fleetUsageFactor;
this.timeFactor = original.timeFactor;
this.distanceFactor = original.distanceFactor;
this.overloadPenalty = original.overloadPenalty;
this.tardinessPenalty = original.tardinessPenalty;
this.coordinates = original.coordinates;
this.useDistanceMatrix = original.useDistanceMatrix;
}
public override IDeepCloneable Clone(Cloner cloner) {
return new PrinsEncoding(this, cloner);
}
public PrinsEncoding(Permutation permutation, int cities,
DoubleArray dueTimeArray, DoubleArray serviceTimeArray, DoubleArray readyTimeArray, DoubleArray demandArray, DoubleValue capacity,
DoubleValue fleetUsageFactor, DoubleValue timeFactor, DoubleValue distanceFactor, DoubleValue overloadPenalty, DoubleValue tardinessPenalty,
DoubleMatrix coordinates, BoolValue useDistanceMatrix)
: base(permutation) {
this.cities = cities;
this.dueTimeArray = dueTimeArray;
this.serviceTimeArray = serviceTimeArray;
this.readyTimeArray = readyTimeArray;
this.demandArray = demandArray;
this.capacity = capacity;
this.coordinates = coordinates;
this.useDistanceMatrix = useDistanceMatrix;
this.fleetUsageFactor = fleetUsageFactor;
this.timeFactor = timeFactor;
this.distanceFactor = distanceFactor;
this.overloadPenalty = overloadPenalty;
this.tardinessPenalty = tardinessPenalty;
}
public static PrinsEncoding ConvertFrom(IVRPEncoding encoding, int cities,
DoubleArray dueTimeArray, DoubleArray serviceTimeArray, DoubleArray readyTimeArray, DoubleArray demandArray, DoubleValue capacity,
DoubleValue fleetUsageFactor, DoubleValue timeFactor, DoubleValue distanceFactor, DoubleValue overloadPenalty, DoubleValue tardinessPenalty,
DoubleMatrix coordinates, ILookupParameter distanceMatrix, BoolValue useDistanceMatrix) {
List tours = encoding.GetTours(distanceMatrix);
List route = new List();
foreach (Tour tour in tours) {
foreach (int city in tour.Cities)
route.Add(city - 1);
}
return new PrinsEncoding(
new Permutation(PermutationTypes.RelativeUndirected, route.ToArray()), cities,
dueTimeArray, serviceTimeArray, readyTimeArray, demandArray, capacity,
fleetUsageFactor, timeFactor, distanceFactor, overloadPenalty, tardinessPenalty,
coordinates, useDistanceMatrix);
}
public static PrinsEncoding ConvertFrom(List routeParam, int cities,
DoubleArray dueTimeArray, DoubleArray serviceTimeArray, DoubleArray readyTimeArray, DoubleArray demandArray, DoubleValue capacity,
DoubleValue fleetUsageFactor, DoubleValue timeFactor, DoubleValue distanceFactor, DoubleValue overloadPenalty, DoubleValue tardinessPenalty,
DoubleMatrix coordinates, BoolValue useDistanceMatrix) {
List route = new List(routeParam);
while (route.Remove(0)) { //remove all delimiters (0)
}
for (int i = 0; i < route.Count; i++)
route[i]--;
return new PrinsEncoding(
new Permutation(PermutationTypes.RelativeUndirected, route.ToArray()), cities,
dueTimeArray, serviceTimeArray, readyTimeArray, demandArray, capacity,
fleetUsageFactor, timeFactor, distanceFactor, overloadPenalty, tardinessPenalty,
coordinates, useDistanceMatrix);
}
}
}