1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Globalization;
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25 | using System.IO;
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26 | using System.Linq;
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27 |
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28 | namespace HeuristicLab.Problems.Instances.VehicleRouting {
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29 | public abstract class CordeauFormatInstanceProvider<TData> : VRPInstanceProvider<TData> where TData : MDCVRPData {
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30 | protected override TData LoadData(Stream stream) {
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31 | return LoadInstance(new CordeauParser(stream));
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32 | }
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33 |
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34 | public override bool CanImportData {
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35 | get { return true; }
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36 | }
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37 | public override TData ImportData(string path) {
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38 | return LoadInstance(new CordeauParser(path));
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39 | }
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40 |
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41 | internal abstract TData LoadInstance(CordeauParser parser);
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42 |
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43 | protected override void LoadSolution(Stream stream, TData instance) {
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44 | using (var reader = new StreamReader(stream)) {
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45 | double costs = double.Parse(reader.ReadLine(), CultureInfo.InvariantCulture);
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46 |
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47 | var toursPerDepotQuery =
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48 | from line in reader.ReadAllLines()
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49 | where !string.IsNullOrEmpty(line)
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50 | let tokens = line.Split(new[] { ' ' }, StringSplitOptions.RemoveEmptyEntries)
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51 | let depot = int.Parse(tokens[0])
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52 | //let vehicle = int.Parse(tokens[1])
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53 | //let duration = double.Parse(tokens[2], CultureInfo.InvariantCulture)
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54 | //let load = double.Parse(tokens[3], new CultureInfo.InvariantCulture)
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55 | let customers = tokens.Skip(4).Where(t => !t.StartsWith("(")).Select(int.Parse)
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56 | let numberOfCustomers = customers.Count()
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57 | //let serviceTimes = tokens.Skip(5).Where(t => t.StartsWith("(")).Select(t => double.Parse(t.Trim('(', ')'), CultureInfo.InvariantCulture))
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58 | let stops = customers.Skip(1).Take(numberOfCustomers - 2).Select(s => s - 1)
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59 | select new { depot, /*vehicle,*/ stops } into assignment
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60 | group assignment by assignment.depot;
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61 |
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62 | var toursPerDepot = toursPerDepotQuery.Select(d => d.Select(v => v.stops.ToArray()).ToArray()).ToArray();
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63 |
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64 | instance.BestKnownTour = toursPerDepot.SelectMany(depot => depot).ToArray();
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65 |
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66 | instance.BestKnownTourVehicleAssignment = DetermineTourToVehicleAssignment(toursPerDepot, instance.VehicleDepotAssignment);
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67 | }
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68 | }
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69 |
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70 | private static int[] DetermineTourToVehicleAssignment(int[][][] toursPerDepot, int[] vehicleDepotAssignments) {
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71 | var usedVehiclesPerDepot = toursPerDepot.Select((d, i) => new { i, d }).ToDictionary(k => k.i, v => v.d.Length);
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72 | var availableVehiclesPerDepot = vehicleDepotAssignments.GroupBy(a => a).ToDictionary(k => k.Key, v => v.Count());
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73 |
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74 | var tourToVehicle = new List<int>(vehicleDepotAssignments.Length);
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75 | var unusedVehicles = new List<int>();
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76 |
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77 | int vehicle = 0;
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78 | for (int depot = 0; depot < toursPerDepot.Length; depot++) {
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79 | int used = usedVehiclesPerDepot[depot];
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80 | tourToVehicle.AddRange(Enumerable.Range(vehicle, used));
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81 | vehicle += used;
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82 |
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83 | int unused = availableVehiclesPerDepot[depot] - used;
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84 | unusedVehicles.AddRange(Enumerable.Range(vehicle, unused));
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85 | vehicle += unused;
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86 | }
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87 | tourToVehicle.AddRange(unusedVehicles);
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88 |
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89 | return tourToVehicle.ToArray();
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90 | }
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91 | }
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92 | }
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