1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 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.IO;
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24 | using System.Linq;
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25 |
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26 | namespace HeuristicLab.Problems.Instances.TSPLIB {
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27 | public abstract class TSPLIBPTSPInstanceProvider : TSPLIBInstanceProvider<PTSPData> {
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28 |
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29 | public override string Description {
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30 | get { return "Traveling Salesman Problem Library (adapted for generating PTSP instances)"; }
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31 | }
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32 |
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33 | protected override string FileExtension { get { return "tsp"; } }
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34 |
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35 | protected override PTSPData LoadInstance(TSPLIBParser parser, IDataDescriptor descriptor = null) {
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36 | parser.Parse();
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37 | if (parser.FixedEdges != null) throw new InvalidDataException("TSP instance " + parser.Name + " contains fixed edges which are not supported by HeuristicLab.");
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38 | var instance = new PTSPData();
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39 | instance.Dimension = parser.Dimension;
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40 | instance.Coordinates = parser.Vertices != null ? parser.Vertices : parser.DisplayVertices;
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41 | instance.Distances = parser.Distances;
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42 | switch (parser.EdgeWeightType) {
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43 | case TSPLIBEdgeWeightTypes.ATT:
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44 | instance.DistanceMeasure = DistanceMeasure.Att; break;
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45 | case TSPLIBEdgeWeightTypes.CEIL_2D:
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46 | instance.DistanceMeasure = DistanceMeasure.UpperEuclidean; break;
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47 | case TSPLIBEdgeWeightTypes.EUC_2D:
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48 | instance.DistanceMeasure = DistanceMeasure.RoundedEuclidean; break;
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49 | case TSPLIBEdgeWeightTypes.EUC_3D:
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50 | throw new InvalidDataException("3D coordinates are not supported.");
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51 | case TSPLIBEdgeWeightTypes.EXPLICIT:
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52 | instance.DistanceMeasure = DistanceMeasure.Direct; break;
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53 | case TSPLIBEdgeWeightTypes.GEO:
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54 | instance.DistanceMeasure = DistanceMeasure.Geo; break;
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55 | case TSPLIBEdgeWeightTypes.MAN_2D:
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56 | instance.DistanceMeasure = DistanceMeasure.Manhattan; break;
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57 | case TSPLIBEdgeWeightTypes.MAN_3D:
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58 | throw new InvalidDataException("3D coordinates are not supported.");
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59 | case TSPLIBEdgeWeightTypes.MAX_2D:
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60 | instance.DistanceMeasure = DistanceMeasure.Maximum; break;
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61 | case TSPLIBEdgeWeightTypes.MAX_3D:
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62 | throw new InvalidDataException("3D coordinates are not supported.");
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63 | default:
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64 | throw new InvalidDataException("The given edge weight is not supported by HeuristicLab.");
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65 | }
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66 |
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67 | instance.Name = parser.Name;
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68 | instance.Description = parser.Comment
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69 | + Environment.NewLine + Environment.NewLine
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70 | + GetInstanceDescription();
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71 |
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72 | instance.Probabilities = GetProbabilities(descriptor, instance);
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73 | return instance;
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74 | }
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75 |
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76 | protected abstract double[] GetProbabilities(IDataDescriptor descriptor, PTSPData instance);
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77 |
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78 | protected override void LoadSolution(TSPLIBParser parser, PTSPData instance) {
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79 | parser.Parse();
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80 | instance.BestKnownTour = parser.Tour.FirstOrDefault();
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81 | }
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82 |
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83 | protected override void LoadQuality(double? bestQuality, PTSPData instance) {
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84 | instance.BestKnownQuality = bestQuality;
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85 | }
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86 |
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87 | public PTSPData LoadData(string tspFile, string tourFile, double? bestQuality) {
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88 | var data = LoadInstance(new TSPLIBParser(tspFile));
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89 | if (!String.IsNullOrEmpty(tourFile)) {
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90 | var tourParser = new TSPLIBParser(tourFile);
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91 | LoadSolution(tourParser, data);
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92 | }
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93 | if (bestQuality.HasValue)
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94 | data.BestKnownQuality = bestQuality.Value;
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95 | return data;
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96 | }
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97 |
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98 | }
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99 | }
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