物流配送中心选址模型构建及路径优化方法研究  

Research on the construction of logistics distribution centre site selection model and path optimization method

作　　者：张继红 Zhang Jihong(Haidu college,big data college,Qingdao Agricultural University,Yantai,Shandong,265200,China)

机构地区：[1]青岛农业大学海都学院大数据学院,山东烟台265200

出　　处：《现代科学仪器》2023年第5期204-208,共5页Modern Scientific Instruments

摘　　要：随着我国对物流配送的需求日益加深,为了完善物流配送在城市中的建设,此次研究开展了物流配送中心选址模型构建及路径优化方法研究。研究将选用Lingo软件和优化蚁群算法优化物流中心的选址和路径方案。实例结果表明,此次研究提出的选址模型具有经济效益较高的优势。同时,对比实验结果显示,此次研究提出的优化蚁群算法与传统蚁群算法比较,成本较后者下降7.66%。说明此次研究设计的基于Lingo软件与优化蚁群算法的物流配送中心选址与路径方案能够有效降低物流配送成本,具有较高的经济实用性价值。With the deepening demand for logistics and distribution in China.In order to improve the construction of logistics and distribution in the city,this research carries out the study on the construction of the model of logistics and distribution center site selection and path optimization methods.The study will choose Lingo software and optimization ant colony algorithm to optimize the location and path plan of logistics center.The results of the practical cases show that the site selection model proposed in this study has the advantage of higher economic efficiency.Meanwhile,compared with the traditional ant colony algorithm,the cost of the optimized ant colony algorithm proposed in this study is reduced by 7.66%.It shows that the logistics distribution center location and routing scheme based on Lingo software and optimized ant colony algorithm can effectively reduce the logistics distribution cost and has high economic practical value.

关 键 词：物流配送中心 选址优化 路径优化 蚁群算法 

分 类 号：F259.2[经济管理—国民经济]