摘要
针对新零售模式下单中心物流配送路径规划问题,综合考虑运输成本、道路拥堵程度和配送业务的时效性建立优化模型,并通过改进遗传算法求解.算例结果表明,改进遗传算法实现的模型效率更高、求解质量更佳.
Aiming at working out the single-center logistics distribution routes,this paper establishes an overall optimized model considering transportation cost,road congestion degree and effectiveness of distribution,which is rectified by genetic arithmetic.The algorithm shows that the model under discussion in this paper has been much more efficient and better qualified.
作者
王登清
WANG Dengqing(School of Economics and Management,Fuzhou University,Fuzhou,Fujian 350108,China;Department of Management Engineering,Fujian Chuanzheng Communications College,Fuzhou,Fujian 350007,China)
出处
《福州大学学报（自然科学版）》
CAS
北大核心
2019年第5期695-699,共5页
Journal of Fuzhou University(Natural Science Edition)
基金
福建省自然科学基金资助项目(2014J01261)
关键词
新零售
物流配送
遗传算法
车辆
路径优化
时间窗
new retail
logistics distribution
genetic arithmetic
vehicle
routing optimization
time window
