=================== MOVRPTW =================== [L]: A. Lim and X. Zhang, "A two-stage heuristic with ejection pools and generalized ejection chains for the vehicle routing problem withtime windows," Journal on Computing, vol. 19, no. 3, pp. 443¡V457, 2007. [N]: Y. Nagata, O. Braysy, and W. Dullaert, "A penalty-based edge assembly memetic algorithm for the vehicle routing problem with time windows," Computers & Operations Research, vol. 37, no. 4, 724¡V737, 2010. [A]: G. B. Alvarenga, G. R. Mateus, G. de Tomi, "A genetic and set partitioning two-phase approach for the vehicle routing problem with time windows," Computers & Operations Research, vol. 34, no. 6, pp. 1561¡V1584, 2007. [O]: B. Ombuki, B. J. Ross, and F. Hanshar, "Multi-objective genetic algorithms for vehicle routing problem with time windows," Applied Intelligence, vol. 24, no. 1, pp. 17¡V30, 2006. [G]: A. Garica-Najera, J. A. Bullinaria, "An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows," Computer & Operations Research, vol. 38, no. 1, pp. 287¡V300, 2011. [B]: N. Labadi, C Prins, and M. Reghioui, "A memetic algorithm for the vehicle routing problem with time windows," RAIRO-Operations Research, vol. 42, no. 3, pp. 415¡V431, 2008. [M]: Wei-Huai Hsu and Tsung-Che Chiang, A Multiobjective Evolutionary Algorithm with Enhanced Reproduction Operators for the Vehicle Routing Problem with Time Windows, Proc. of IEEE World Congress on Computational Intelligence, pp. 2629 - 2636, Brisbane, June, 2012. =============================================== Instance, #routes, total distance, references << R1 >> R101 19 1650.8 [N][L][G] . 20 1642.87 [A] R102 17 1486.12 [N][L] . 18 1472.62 [A] R103 13 1292.68 [N][L] . 14 1213.62 [A] R104 9 1007.31 [N][L] . 10 992.933 [M] . 11 986.096 [A] R105 14 1377.11 [N][L][G] . 15 1360.78 [A][B] R106 12 1252.03 [N][L] . 13 1240.41 [G] R107 10 1104.66 [N][L] . 11 1074.24 [B] R108 9 960.88 [N][L] . 10 946.422 [M] R109 11 1194.73 [N][L] . 12 1154.31 [M] . 13 1151.84 [A] R110 10 1118.84 [N][L] . 11 1097.75 [M] . 12 1072.42 [B] R111 10 1096.73 [N][L] . 11 1062.2 [M] . 12 1053.5 [A] R112 9 982.14 [N] . 10 960.675 [A] << RC1 >> RC101 14 1696.95 [N][L] . 15 1636.92 [O] RC102 12 1554.75 [N][L] . 13 1492.7 [G] . 14 1466.44 [M] RC103 11 1261.67 [N][L] RC104 10 1135.48 [N][L][M] RC105 13 1629.44 [N][L] . 14 1540.18 [G] . 15 1519.44 [G] . 16 1518.6 [A] RC106 11 1424.73 [N][L] . 12 1394.43 [G] . 13 1377.35 [A] RC107 11 1230.48 [N][L] . 12 1212.83 [A] RC108 10 1139.82 [N][L] . 11 1117.53 [A] << R2 >> R201 4 1252.37 [N][L] . 5 1190.02 [M] . 6 1171.83 [M] . 7 1158.48 [M] . 8 1150.92 [B] . 9 1148.48 [A] R202 3 1191.7 [N][L] . 4 1081.6 [G] . 5 1041.1 [M] . 7 1037.5 [B] R203 3 939.5 [N][L] . 4 900.794 [M] . 5 890.5 [O] . 6 874.869 [B] R204 2 825.52 [N] . 3 749.417 [M] . 4 743.851 [M] . 5 735.861 [B] R205 3 994.43 [N][L] . 4 959.74 [G] . 5 954.16 [O] R206 3 906.14 [N][L] . 4 889.39 [O] . 5 879.893 [B] R207 2 890.61 [N] . 3 817.854 [M] . 4 797.994 [M] R208 2 726.82 [N][L] . 3 706.855 [B] R209 3 909.16 [N][L] . 4 863.813 [M] . 5 859.39 [B] R210 3 939.37 [N][L] . 4 929.023 [M] . 5 918.778 [M] . 6 912.533 [B] R211 2 885.71 [N] . 3 784.56 [M] . 4 755.949 [B] << RC2 >> RC201 4 1406.94 [N][L] . 5 1311.52 [M] . 6 1298.78 [M] . 7 1282.94 [M] . 9 1274.54 [A] . 10 1273.04 [B] RC202 3 1365.65 [N][L] . 4 1161.29 [M] . 5 1118.66 [M] . 7 1102.06 [M] . 8 1099.54 [B] RC203 3 1049.62 [N] . 4 945.083 [M] . 5 940.851 [M] . 6 937.449 [B] RC204 3 798.46 [N][L] . 4 791.399 [B] RC205 4 1297.65 [N][L] . 5 1238.7 [M] . 6 1185.89 [M] . 7 1161.81 [A] RC206 3 1146.32 [N][L] . 4 1085 [M] . 5 1080.5 [O] . 6 1067.81 [M] . 7 1054.61 [B] RC207 3 1061.14 [N][L] . 4 1001.85 [G] . 5 970.78 [M] . 6 966.372 [B] RC208 3 828.14 [N] . 4 785.93 [O] . 5 783.932 [B]