摘要
交通拥堵是城市发展所面临的的困局之一,而货物物流需求的增长已成为影响城市交通的重要因素.利用某城市的交通货运区域划分图和货物流量矩阵对该区域的地下物流系统进行了设计;以该区域的物流吞吐量和区域需求量以及一级节点的转运率为优化目标,然后通过线性规划对偶问题方法给出节点选址方案,在节点部署位置的前提下,以最小化总体建设成本和运输成本为目标,以网络的连通性和管道服务能力为约束,给出多目标优化模型,并通过遗传算法实现ULS物流网络的构建.最后,针对该区域物流发展规律,以满足30年后的物流吞吐量为设计目标,给出了关键节点和关键物流链路,从而建立起网络建设的时序关系.
Traffic congestion is one of the difficulties hindered the urban development,while the growth in freight logistics demand has become an important factor affecting urban traffic.The Underground Logistics System(ULS)in this area has been designed by using the zoning map for traffic and freight and the cargo flow matrix of a certain city.Taking the cai^o handling capacity and regional demand of this area and the transport rate of the first-level modes as the optimization goal,we should propose the node location scheme through the linear programming and dual problem methods.Under the premise of node deployment with the objective of minimizing the overall construction cost and transportation cost,the network connectivity and pipeline service capabilities have been constrained to propose a multi-objective optimization model,and to achieve ULS logistics network construction through the genetic algorithm.Finally,according to the law of logistics development in the region,the key nodes and key logistics links have been given to reach the goal of logistics throughput after three decades,so as to establish the timing relationship of network constmction.
作者
彭鑫
刘志鹏
欧阳竟成
李文
李辉
PENG Xin;LIU Zhipeng;OUYANG Jingcheng;LI Wen;LI Hui(College of Information Science and Engineering,Hunan Institute of Science and Technology,Yueyang 414006,China)
出处
《湖南理工学院学报(自然科学版)》
CAS
2018年第1期20-25,共6页
Journal of Hunan Institute of Science and Technology(Natural Sciences)
基金
国家自然科学基金(61772195)
湖南省自然科学基金(2018JJ2156)
湖南省科技计划项目(2016TP1021)
湖南省教育科学规划课题(XJK17BXX004)
关键词
地下物流系统
多目标优化
对偶问题
遗传算法
Underground Logistics System(ULS)
multi-objective optimization model
dual problem
the genetic algorithm