基于自适应遗传算法的农村快递配送中心选址研究  

Research on Location Selection of Rural Express Distribution Center Based on Adaptive Genetic Algorithm

作　　者：潘洁 麻存瑞 牛义锋 黄海丰 PAN Jie;MA Cunrui;NIU Yifeng;HUANG Haifeng(Modern Post College,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学现代邮政学院,重庆400065

出　　处：《物流科技》2024年第23期18-21,共4页Logistics Sci Tech

基　　金：重庆市自然科学基金博士后科学基金项目(cstc2021jcyj-bshX0018);重庆市教委人文社会科学研究项目(20SKGH061)。

摘　　要：考虑到农村快递配送时效性差,快递员工作时间长等原因,构建了农村快递配送中心选址模型。为了提升算法求解效率,更好地适应农村快递需求随机性高的特征,设计了一种自适应遗传算法。通过对重庆市某郊县道路网络求解,结果表明,文章模型能够兼顾运营成本和快递员工作时间;相比传统遗传算法,自适应遗传算法求解农村快递配送中心选址的效率更高。Considering the poor timeliness of rural express delivery and the long working hours of couriers,a location model for rural express delivery centers is constructed.In order to improve the efficiency of algorithm solving and better adapt to the high randomness of rural express delivery demand,an adaptive genetic algorithm is designed.By solving the road network of a suburban county in Chongqing,the results show that the model in this paper can balance operating costs and courier working hours;compared to traditional genetic algorithms,adaptive genetic algorithms have higher efficiency in solving the location and delivery of rural express delivery centers.

关 键 词：农村快递 配送中心选址 自适应遗传算法 

分 类 号：F252.14[经济管理—国民经济]