摘要
本文针对双向物流的特点,重点分析研究了车辆配送的策略。为了更好地协调车辆进行路径选择和运输成本间的关系,以及更好地考虑综合因素及实际情况进行节点间的选择,针对双向物流路径问题的研究方法,建立了优化路径的极小化数学模型。最后针对路径优化方法及研究状况,采用了聚类分析及蚁群算法,并经仿真验证,结果合理有效。
According to the characteristics of two-way logistics, this paper focus on analysis and research the vehicles distribution. In order to better coordinate the vehicle path selection and the relationship between transport costs, and better conditions for considering comprehensive factors and the choice between nodes, study of two-way logistics path problem method, established the mathematical model of optimal path minimization.Finally based on path optimization method and the research situation, adopted the cluster analysis and the ant colony algorithm, and it has been verified by the simulation, the results reasonable and effective.
出处
《科技视界》
2016年第4期173-174,共2页
Science & Technology Vision
关键词
物流配送
双向物流
物流路径优化
蚁群算法
减法聚类
Logistics distribution
Two-way logistics
Logistics path optimization
Ant colony algorithm
Subtraction clustering
