基于微粒群算法的农产品物流配送路径优化研究  

Research on the Distribution Route Optimization of Agricultural Product Logistics Based on Particle Swarm

作　　者：刘军[1] 周骞[2] 邹桂兰[2] 肖宇[1] 

机构地区：[1]湖南省交通科学研究院,湖南长沙410015 [2]长沙理工大学,湖南长沙410114

出　　处：《物流工程与管理》2013年第1期72-75,共4页Logistics Engineering and Management

基　　金：交通运输部科技示范工程项目(交函科技[2009]333号)

摘　　要：通过分析农产品物流配送的特点和对车辆调度的影响,对车辆数目不确定的带时间窗的车辆路径问题进行描述,建立起受成本影响、有时限的农产品物流配送路径优化模型,利用复合最优模型微粒群算法对该模型进行求解,并进行案例比较分析。文中所提出的农产品物流配送优化模型对降低农产品物流配送成本,提高农产品物流配送效率具有较好的实用价值。Through an analysis of the characteristics of the Agricuhural Products Logistics and its influence on the vehicle scheduling, this paper is to describe the vehicle routes whose vehicle number is uncertain and which are with time windows, to establish a distribution route optimization model which is effeeted by the cost and has a time limitation, to solve the model with the Compound Optimum Model Particle Swarm Optimization, and to compare it through some case. The optimization model of Agricultural Products Logistics has good practical value on reduce the cost of agricultural products logistics and improve the efficiency of logistics distribution of agricultural products.

关 键 词：农产品物流配送 车辆调度 路径优化模型 微粒群算法 

分 类 号：F302[经济管理—产业经济]