Optimizing Dynamic Logistics Allocation on Improved Ant Colony Algorithm
Facing distribution channel restructuring and quick response to the diversity of customer order demands, the specialized logistics companies have been urgently requested with the capability of allocating limited resources in the process of logistics allocation control and decision. Ant colony algorithm is proposed aiming at solving the logistics allocation problem, and pheromone updating strategy is ameliorated to improve the efficiency. The result of experiments demonstrates that the optimal or nearly optimal solutions to the logistic distribution routing can be quickly obtained by improved ant colony algorithm.
logistics vehicle allocation ant colony algorithm optimizing computation
Li Na Wang Shoubin
Dept. Management Engineering Tianjin Institute of Urban Construction Tianjin, China Dept. Electron and Information Engineering Tianjin Institute of Urban Construction Tianjin, China
国际会议
长沙
英文
2168-2170
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）