基于Selenium和遗传算法的配送路径优化研究——以HFZ便民直销店为例  

Research on Distribution Route Optimization Based on Selenium and Genetic Algorithm——Take HFZ as an Example

作　　者：王西状 陈玉兰[1] WANG Xizhuang;CHEN Yulan(School of Economics and Business,Xinjiang Agricultural University,Urumqi 830052,China)

机构地区：[1]新疆农业大学经济与贸易学院,新疆乌鲁木齐830052

出　　处：《物流科技》2022年第9期32-35,42,共5页Logistics Sci-Tech

摘　　要：生鲜农产品小批量、保质期短等特性和拥堵的城市交通对配送效率提出更高的要求。文章针对生鲜农产品配送路径优化问题,以HFZ便民直销店为例,首先利用Selenium工具进行网络爬虫,在百度地图里查找63个便利店和1个配送中心之间的最短路线,然后设计考虑时间窗因素的生鲜农产品配送路径优化模型。最后通过对比分析,表明基于Selenium和遗传算法得出的结果具有显著优势。The characteristics of small batch and short shelf life of fresh agricultural products and congested urban traffic put forward higher requirements for distribution efficiency. Aiming at the distribution path optimization problem of fresh agricultural products, taking HFZ as an example, this paper first uses Selenium tool to search the shortest route between 63 convenience stores and 1 distribution center in Baidu map, and then constructs the distribution path optimization model of fresh agricultural products considering time window. Finally, through comparative analysis, it shows that the results based on Selenium and genetic algorithm have significant advantages.

关 键 词：遗传算法 SELENIUM 网络爬虫 路径优化 

分 类 号：F253.4[经济管理—国民经济]