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source: trunk/sources/HeuristicLab.Problems.VehicleRouting/3.3/Encodings/Potvin/Crossovers/PotvinCrossover.cs @ 4352

Last change on this file since 4352 was 4352, checked in by svonolfe, 14 years ago

Merged r4351 of the VRP feature branch into trunk (#1039)

File size: 5.0 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.Core;
23using HeuristicLab.Encodings.PermutationEncoding;
24using HeuristicLab.Parameters;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Data;
27using HeuristicLab.Optimization;
28using System.Collections.Generic;
29
30namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
31  [Item("PotvinCrossover", "A VRP crossover operation.")]
32  [StorableClass]
33  public abstract class PotvinCrossover : VRPCrossover, IStochasticOperator {
34    public ILookupParameter<IRandom> RandomParameter {
35      get { return (LookupParameter<IRandom>)Parameters["Random"]; }
36    }
37
38    [StorableConstructor]
39    protected PotvinCrossover(bool deserializing) : base(deserializing) { }
40
41    public PotvinCrossover() {
42      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
43    }
44
45    protected abstract PotvinEncoding Crossover(IRandom random, PotvinEncoding parent1, PotvinEncoding parent2);
46
47    protected bool FindInsertionPlace(PotvinEncoding individual, int city, out int route, out int place) {
48      return individual.FindInsertionPlace(
49        DueTimeParameter.ActualValue, ServiceTimeParameter.ActualValue, ReadyTimeParameter.ActualValue,
50        DemandParameter.ActualValue, CapacityParameter.ActualValue, CoordinatesParameter.ActualValue,
51        DistanceMatrixParameter, UseDistanceMatrixParameter.ActualValue,
52        city, -1, out route, out place);
53    }
54
55    protected Tour FindRoute(PotvinEncoding solution, int city) {
56      Tour found = null;
57
58      foreach (Tour tour in solution.Tours) {
59        if (tour.Cities.Contains(city)) {
60          found = tour;
61          break;
62        }
63      }
64
65      return found;
66    }
67
68    protected bool Repair(IRandom random, PotvinEncoding solution, Tour newTour) {
69      bool success = true;
70     
71      //remove duplicates from new tour     
72      for (int i = 0; i < newTour.Cities.Count; i++) {
73        for (int j = 0; j < newTour.Cities.Count; j++) {
74          if (newTour.Cities[i] == newTour.Cities[j] && i != j) {
75            if (random.NextDouble() < 0.5)
76              newTour.Cities[i] = 0;
77            else
78              newTour.Cities[j] = 0;
79          }
80        }
81      }
82      while(newTour.Cities.Contains(0))
83        newTour.Cities.Remove(0);
84
85      //remove duplicates from old tours
86      for (int i = 0; i < newTour.Cities.Count; i++) {
87        foreach (Tour tour in solution.Tours) {
88          if (tour != newTour && tour.Cities.Contains(newTour.Cities[i])) {
89            tour.Cities.Remove(newTour.Cities[i]);
90          }
91        }
92      }
93
94      //remove empty tours
95      List<Tour> toBeDeleted = new List<Tour>();
96      foreach (Tour tour in solution.Tours) {
97        if (tour.Cities.Count == 0)
98          toBeDeleted.Add(tour);
99      }
100      foreach (Tour tour in toBeDeleted) {
101        solution.Tours.Remove(tour);
102      }
103
104      //route unrouted vehicles
105      int index = 0;
106      while (index < solution.Unrouted.Count && success) {
107        int unrouted = solution.Unrouted[index];
108
109        int route, place;
110        if(FindInsertionPlace(solution, unrouted, out route, out place)) {
111          solution.Tours[route].Cities.Insert(place, unrouted);
112        } else {
113          success = false;
114        }
115
116        index++;
117      }
118
119      for (int i = 0; i < index; i++)
120        solution.Unrouted.RemoveAt(0);
121
122      return success;
123    }
124
125    public override IOperation Apply() {
126      ItemArray<IVRPEncoding> parents = new ItemArray<IVRPEncoding>(ParentsParameter.ActualValue.Length);
127      for (int i = 0; i < ParentsParameter.ActualValue.Length; i++) {
128        IVRPEncoding solution = ParentsParameter.ActualValue[i];
129
130        if (!(solution is PotvinEncoding)) {
131          parents[i] = PotvinEncoding.ConvertFrom(solution, DistanceMatrixParameter);
132        } else {
133          parents[i] = solution;
134        }
135      }
136      ParentsParameter.ActualValue = parents;
137
138      ChildParameter.ActualValue = Crossover(RandomParameter.ActualValue, parents[0] as PotvinEncoding, parents[1] as PotvinEncoding);
139
140      return base.Apply();
141    }
142  }
143}
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