摘要
针对区间重构方法进行物流配送路径寻优收敛性不好的问题,提出一种基于蚁群优化算法的物流配送路径优化选择方法。采用重极标差法进行物流配送路径的邻域网格分割,进行路径的动态实时统计特性分析,设计物流配送路径选择流程。采用蚁群优化算法进行物流配送路径的自适应寻优,实现路径优化选择规划。仿真结果表明,采用该算法进行物流配送路径规划,缩短了配送行程距离,节省了物流时间。
Aiming at the poor optimization convergence of the interval reconstruction method for logistics distribution route, an ant colony optimization algorithm based optimal selection method of logistics distribution route is proposed. The rescaled range analysis method is used to carry out the neighborhood mesh segmentation of the logistics distribution route, analyze the dynamic real-time statistical property of the route, and design the selection process of the logistics distribution route. The ant colony optimization algorithm is used to perform the adaptive optimization of the logistics distribution path to realize the path optimization selection and planning. The simulation results show that the algorithm used to plan the logistics distribution path can shorten the distribution distance, and save the logistics time.
出处
《现代电子技术》
北大核心
2017年第15期167-170,共4页
Modern Electronics Technique
基金
2015年度湖北省教育厅一般项目(15G224)
关键词
蚁群算法
物流
配送
路径规划
重极标差法
ant colony algorithm
logistics
distribution
path planning
rescaled range analysis method
