摘要
探讨了在"一带一路"倡议背景下的跨境电商物流配送网络优化问题。首先基于不同类型客户的物流偏好(即配送的高时效性或者低成本),将电商物流配送网络设计问题建模为一个多目标优化问题。然后改进了文化基因算法,使其能高效地求解该多目标优化问题。最后,将本文的改进算法与现有方法进行对比,以评估本文算法的性能。
In this paper,the optimization of cross-border e-commerce logistics distribution network is discussed under the the Belt and Road initiative.Firstly,based on the logistics preference of different types of customers(i.e.,high timeliness or low cost),the design of e-commerce logistics distribution network is modeled as a multi-objective optimization problem.Then we modify memetic algorithm in order to solve the multi-objective optimization problem efficiently.Finally,the improved algorithm is compared with the existing methods to evaluate the performance.
作者
毕岚
BI Lan(Institute of Finance And Economics, Anhui Technical College of Industry and Economy,Hefei 230051,China)
出处
《信阳农林学院学报》
2018年第4期129-132,共4页
Journal of Xinyang Agriculture and Forestry University
基金
2017年安徽省高校人文社科研究一般项目(2017sk02)
关键词
物流配送网络
多目标优化
文化基因算法
logistics distribution network
multi-objective optimization
memetic algorithm