构造节约遗传算法解决电子商务环境下的物流配送路径优化问题研究

Constructing a Genetic Algorithm to Solve the Problem of Logistics Distribution Path Optimization in E-commerce Environment

物流配送就是依据客户订单需要,在配送中心进行分货、配货,并将货物配送给收件人,是现代物流系统中至关重要的一环。本次研究在分析物流配送路径问题前提下,利用遗传算法构造解决物流配送路径,其包含选择、交叉、变异等操作,并利用实例证明遗传算法可以迅速求出物流配送路径优化最满意的解,有利于缩短物流配送时间和距离,提升配送效率。

Logistics delivery is based on customer orders,distribute and distribute the goods in the distribution center and deliver the goods to the recipients,it is a crucial link in modern logistics system.Under the premise of analyzing the logistics distribution path,it use genetic algorithm construction to solve logistics distribution path,it contains selection,crossover,variation,and so on,and USES examples,it is proved that this algorithm can improve the efficiency of logistics distribution,shorten the delivery distance in time.