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地下物流多级节点选址的双层规划模型
引用本文:王曼,曹倩,孙践知,宋佳润,王威松. 地下物流多级节点选址的双层规划模型[J]. 科学技术与工程, 2018, 18(31)
作者姓名:王曼  曹倩  孙践知  宋佳润  王威松
作者单位:北京工商大学,计算机与信息工程学院,食品安全大数据技术北京市重点实验室,北京工商大学,计算机与信息工程学院,食品安全大数据技术北京市重点实验室,北京工商大学,计算机与信息工程学院,食品安全大数据技术北京市重点实验室,北京邮电大学自动化学院,北京邮电大学自动化学院
基金项目:国家自然科学基金(61702018)、北京市属高校高水平教师队伍建设支持计划青年拔尖人才培育计划项目(CIT&TCD201804029)、北京市优秀人才培养资助项目(2015000020124G029)资助
摘    要:地下物流系统逐渐成为缓解城市交通问题的新思路,其中地下物流节点选址是其中的关键问题。利用分级配送的原则,首先基于聚类算法依据货物需求情况对城市进行区域划分。然后,在保证地上交通畅通的情况下,构建了基于双层规划的多级地下物流节点选址优化模型,并利用模拟退火-贪心算法求解一级、二级物流节点位置及各节点间可运输的最大货运量。最后,通过分析算例,验证了该地下物流多级节点选址模型的正确性和实用性。

关 键 词:地下物流;节点选址;双层规划;聚类算法;模拟退火算法
收稿时间:2018-05-09
修稿时间:2018-07-05

Bi-level Planning Model for Location of Multilevel Nodes in Underground Logistics
Wangman,and. Bi-level Planning Model for Location of Multilevel Nodes in Underground Logistics[J]. Science Technology and Engineering, 2018, 18(31)
Authors:Wangman  and
Affiliation:Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University,,,,
Abstract:The underground logistics system has become a new way to alleviate urban traffic problems. The location of the underground logistics node is the key problem in the construction of the underground logistics system. This paper makes use of the principle of hierarchical distribution to study the location of multilevel underground logistics nodes. Firstly, based on the clustering algorithm, the urban area is divided according to the demand of the goods. Then, a location optimization model of multilevel underground logistics nodes based on bi-level programming is built, and the model is solved by simulated annealing greedy algorithm and gravity center method. Finally, the correctness and practicability of the model is verified by analyzing the example, which provides a reference for future location of multilevel logistics nodes in the construction of underground logistics system.
Keywords:underground logistics node location bi-level programming clustering algorithm simulated annealing algorithm
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