Instance name: lr2_2_6
Authors: Piotr Sielski (psielski@emapa.pl), Piotr Cybula, Marek Rogalski, Mariusz Kok, Piotr Beling, Andrzej Jaszkiewicz, Przemysław Pełka.  Emapa S.A. (http://www.emapa.pl)
Date: 05.11.2019
Reference: "Development of universal methods of solving advanced VRP problems with the use of machine learning", unpublished research funded by The National Centre for Research and Development, project number: POIR.01.01.01-00-0012/19.  "Optimization of advanced VRP problem variants", unpublished. Computing grant 358 funded by Poznan Supercomputing and Networking Center.
Solution
Route 1: 164 171 181 8 45 23 41 47 56 199 116 65 92 151 26 157 161 166 150 126 91 189 135 134 94 190 63 78 25 3 165 170 30 83 14 66 142 64 123 130 198 176 180 70 174 89 16 17 84 173 5 22 55 96 113 12 109 182 149 28 155 175 72 39 52 169 148 80
Route 2: 144 131 74 34 87 4 100 36 192 33 62 179 137 117 177 35 162 19 118 31 184 200 32 146 44 178 191 195 120 81 172 140 29 9 69 186 67 158 49 37 160 101 185 42 111 82 104 106 108 188 76 2 110 20 153 54 97 51 59 1 147 132 114 136 183 163
Route 3: 18 168 75 143 125 152 139 129 77 61 119 71 48 197 194 95 21 6 40 167 88 15 103 43 115 57 90 141 133 124 68 13 122 145 102 60 196 138 38 107 128 159 193 27 187 7 58 79 98 121 93 156 112 127 24 50 11 10 105 46 85 73 154 86 53 99