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source: branches/VRP/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Potvin/PotvinEncoding.cs @ 4695

Last change on this file since 4695 was 4378, checked in by svonolfe, 14 years ago

Improved performance of PotvinEncoding(#1177)

File size: 4.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Encodings.PermutationEncoding;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27using System.Drawing;
28using System.Collections.Generic;
29using HeuristicLab.Problems.VehicleRouting.Encodings.General;
30using HeuristicLab.Problems.VehicleRouting.Variants;
31using HeuristicLab.Problems.VehicleRouting.Interfaces;
32using HeuristicLab.Problems.VehicleRouting.ProblemInstances;
33
34namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
35  [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.")]
36  [StorableClass]
37  public class PotvinEncoding : TourEncoding, ISingleDepotEncoding, ITimeWindowedEncoding, IHomogenousCapacitatedEncoding {   
38    [Storable]
39    public List<int> Unrouted { get; set; }
40
41    public override IDeepCloneable Clone(HeuristicLab.Common.Cloner cloner) {
42      PotvinEncoding clone = new PotvinEncoding(ProblemInstance);
43      cloner.RegisterClonedObject(this, clone);
44      clone.Tours = (ItemList<Tour>)cloner.Clone(this.Tours);
45      clone.Unrouted = new List<int>(Unrouted);
46      return clone;
47    }
48
49    public PotvinEncoding(IVRPProblemInstance instance)
50      : base(instance) {
51      Unrouted = new List<int>();
52    }
53
54    [StorableConstructor]
55    private PotvinEncoding(bool serializing)
56      : base(serializing) {
57    }
58
59    public static PotvinEncoding ConvertFrom(IVRPEncoding encoding, IVRPProblemInstance instance) {
60      PotvinEncoding solution = new PotvinEncoding(instance);
61
62      TourEncoding.ConvertFrom(encoding, solution, instance);
63
64      return solution;
65    }
66
67    public static PotvinEncoding ConvertFrom(List<int> route, IVRPProblemInstance instance) {
68      PotvinEncoding solution = new PotvinEncoding(instance);
69
70      TourEncoding.ConvertFrom(route, solution);
71
72      return solution;
73    }
74
75    public double GetTourLength(Tour tour) {
76      double length = 0;
77
78      if (tour.Stops.Count > 0) {
79        List<int> cities = new List<int>();
80        cities.Add(0);
81        foreach (int city in tour.Stops) {
82          cities.Add(city);
83        }
84        cities.Add(0);
85
86        for (int i = 1; i < cities.Count; i++) {
87          length += ProblemInstance.GetDistance(cities[i - 1], cities[i]);
88        }
89      } 
90
91      return length;
92    }
93
94    public bool FindInsertionPlace(int city, int routeToAvoid, out int route, out int place) {
95      route = -1;
96      place = -1;
97      double minDetour = 0;
98
99      for (int tour = 0; tour < Tours.Count; tour++) {
100        if (tour != routeToAvoid) {
101          double length = GetTourLength(Tours[tour]);
102
103          for (int i = 0; i <= Tours[tour].Stops.Count; i++) {
104            Tours[tour].Stops.Insert(i, city);
105
106            VRPEvaluation eval = ProblemInstance.EvaluatorParameter.Value.Evaluate(
107              ProblemInstance, Tours[tour]);
108            if (ProblemInstance.EvaluatorParameter.Value.Feasible(eval)) {
109              double newLength = eval.Distance;
110
111              double detour = newLength - length;
112
113              if (route <= 0 || detour < minDetour) {
114                route = tour;
115                place = i;
116                minDetour = detour;
117              }
118            }
119
120            Tours[tour].Stops.RemoveAt(i);
121          }
122        }
123      }
124
125      return route >= 0 && place >= 0;
126    }
127  }
128}
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