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Optimization and Simulation of Express`s Vehicle Routing in Commercial District Based on Ant Colony Algorithm

机译:基于蚁群算法的商业区快车路线优化与仿真

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摘要

Nowadays, the quantity of express packages is very large and the requirement of timeliness is also increasing in commercial district, so to optimize the vehicle routing for express's delivery in commercial district is the key point to improve the express enterprises' service level and competitiveness and it is the purpose of the study. Service node, the last operation in express network, is mainly to collect and deliver the express packages. In this study, the mode of mobile warehouse milk-run delivery is put forward by considering the key factors that impact the express company?s competitiveness and the optimal path is found with ant colony algorithm. This paper's innovation is that a new and unique mode of network node?s operation for express enterprises in downtown delivery is put forward and provides a method of path planning, then the proposed delivery model and algorithm are proven by simulating and analyzing at the SF?s network node (E-World node) of Zhongguancun branch with the result that the cost of express delivery reduced and the efficiency of delivery improved, thereby the service level and competitive ability of express enterprise get improved greatly.
机译:如今,商业区的快递包裹数量非常大,对及时性的要求也越来越高,因此,优化商业区快递配送的车辆路线是提高快递企业服务水平和竞争力的关键。是研究的目的。服务节点是快递网络中的最后一个操作,主要是收集和交付快递包裹。在研究中,考虑了影响快递公司竞争力的关键因素,提出了移动仓库牛奶运行方式,并通过蚁群算法找到了最优路径。本文的创新之处在于,提出了一种新的,独特的模式,用于市区快递企业的网络节点操作,并提供了一种路径规划的方法,然后在SF上通过仿真和分析证明了所提出的交付模型和算法。的网络节点(E-World节点),降低了快递成本,提高了快递效率,极大地提高了快递企业的服务水平和竞争能力。

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