Laporte G, Mercure H, Nobert Y. A branch and bound algorithm for a class of asymmetrical vehicle routing problem[J]. The Journal of Operational Research Society, 1992, 43(5):469-481.
[2]
Wang Ch H, Lu J Zh. A hybrid genetic algorithm that optimizes capacitated vehicle routing problems[J]. Expert Systems with Applications, 2009, 36: 2921–2936.
[3]
Dorigo M, Maniezzo V, Colorni A. Ant System: Optimization by a colony of cooperating agents[J]. IEEE Transaction on Systems, Man and Cybernetics Part B, 1996, 26: 29-41.
[4]
Bell J E, McMullen P R. Ant colony optimization techniques for the vehicle routing problem[J]. Advanced Engineering Informatics, 2004, 18: 41-48.
[5]
http://www.Branchandcut.org/VRP/data/
[6]
Baker B M, Ayechew M A. A genetic algorithm for the vehicle routing problem[J]. Computers and Operations Research, 2003, 30(5): 787-800.
[7]
Dorigo M, Gambardella L M. Ant colony System: A cooperative learning approach for the traveling salesman problem[J]. IEEE Transaction on Evolutionary Computation, 1997, 1: 53-66.
[8]
Bullnheimer B, Hartl R F, Strauss Ch. 1998. Applying the ant system to the vehicle routing problem[A]. Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization[C]. Boston: Kluwer, 1998, 109-120.
[9]
Bullnheimer B, Hartl R F, Strauss Ch. 1999. An improved ant system for the vehicle routing problem[J]. Annals of Operations Research, 1999, 89: 319-328.
[10]
Gajpal Y, Abad P L. Multi-ant colony system (MACS) for a vehicle routing problem with backhauls[J]. European Journal of Operational Research, 2009, 196: 102-117.
[11]
Chen Ch H, Ting Ch J. An improved ant colony system algorithm for the vehicle routing problem[J]. Journal of the Chinese Institute of Industrial Engineer, 2006, 23(2): 115-126.
[12]
Juan A A, Faulin J, Ruiz R, et al. The SR-GCWS hybrid algorithm for solving the capacitated vehicle routing problem[J]. Applied Soft Computing, 2010, 10: 215-224.
