摘要
针对逆向物流中存在的问题,为了降低逆向物流总成本,提高逆向物流的运转效率,对逆向物流的选址问题进行了重点研究。以离散粒子群优化算法为基础,对粒子进行重新编码,使得算法的收敛速度加快,挖掘精度提高,选择一个合适的回收中心。
In this paper to reduced total cost of reverse logistics and improve its operational efficiency, we studies the location problem of reverse logistics and on the basis of the improved discrete particle swarm algorithm which was re-coded and quicker in convergence, selected a suitable recycling center.
出处
《物流技术》
北大核心
2012年第12期309-311,共3页
Logistics Technology
基金
广西2011年新世纪教改工程课题"基于agent技术的个性化网络教学平台研究"(2011JGB272)
关键词
粒子群优化算法
二进制
逆向物流
选址模型
reverse logistics
particle swarm algorithm
binary system
location model
