Instance name: lrc2_2_4
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Reference: "Development of universal methods of solving advanced VRP problems with the use of machine learning", unpublished research funded by The National Centre for Research and Development, project number: POIR.01.01.01-00-0012/19.  "Optimization of advanced VRP problem variants", unpublished.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: 180 130 174 97 84 127 199 155 12 59 85 189 128 168 188 105 176 141 181 104 77 5 197 185 175 134 191 69 71 11 144 115 121 88 75 118 17 30 54 140 64 67
Route 2: 142 136 3 48 131 156 102 152 167 27 7 63 132 186 26 35 19 170 187 72 57 40 126 111 145 51 80 190 183 179 178 36 124 182 195 41 143 9 87 58 113 137 123 13 8 60 1 2 34 76 96 120 149 73 93 146 202 193 10 25 164 122 62 159 20 46 138 135 172 42 162 14 78 171 6 28 163 150
Route 3: 4 92 82 100 89 66 37 139 173 133 147 16 119 169 24 43 161 98 61 108 38 32 45 165 157 125 109 112 50 56 117 52 31 106 22 70 198 91 148 95 83 44 116 68 18 184 196 15 110 90 103 200 39 79 47 49 153 107 201 55 129 158 194 166 21 29 33 177 65 99 94 151 160 192 53 101 74 23 114 86 81 154