物流配送路径优化研究——以广州白云区广州火车站菜鸟驿站为例【摘要】为了达到物流配送车辆节能减排的目的，在物流配送路径优化中实现低成本，低废气污染的目的。物流配送路径是否合理，决定配送速度和配送效率。在物流配送系统中起着重要作用的是方便快捷的物流配送路径，对于各个地方不同的派送点，有多种多样的配送路径，如何找到方便快捷且又节能环保的配送路径需要一种快速有效的算法来解决。通过调查物流配送路径优化问题，在现有的遗传算法和蚁群算法基本模型的基础上，结合遗传算法和蚁群算法的优点，解决物流配送的优化问题。在物流配送系统中起着重要作用的物流配送路径优化，需要一种快速有效的算法来解决。本文以广州白云区广州火车站菜鸟驿站为例，整合和改进蚁群算法和遗传算法，以解决物流路线优化问题。最后通过对广州白云区广州火车站菜鸟驿站进行仿真实验证明了改进的遗传蚁群算法是正确有效的。报告了对给定问题的满意计算结果，表明改进的蚁群算法是有用且有效的。【关键词】蚁群算法；物流配送；路径优化Research on the Optimization of Logistics Distribution Path——Taking CAINIAO Station of Guangzhou Railway Station in Baiyun District, Guangzhou as an Example[Abstract] In order to achieve the purpose of energy saving and emission reduction for logistics and distribution vehicles, the goal of low cost and low exhaust gas pollution is realized in the optimization of logistics distribution routes. Whether the logistics distribution path is reasonable determines distribution speed and distribution efficiency. The logistics distribution path optimization, which plays an important role in the logistics distribution system, needs a fast and effective algorithm to solve it. Based on the analysis of the logistics distribution path optimization problem, the genetic algorithm and the ant colony algorithm basic model, all aspects of the genetic algorithm and the ant colony algorithm were analyzed and improved to optimize the search ability and accelerate the convergence speed. The satisfact...
