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加权快递网络鲁棒性分析及优化
引用本文:谢逢洁,崔文田. 加权快递网络鲁棒性分析及优化[J]. 系统工程理论与实践, 2016, 36(9): 2391-2399. DOI: 10.12011/1000-6788(2016)09-2391-09
作者姓名:谢逢洁  崔文田
作者单位:1. 西安邮电大学 经济与管理学院, 西安 710061;2. 西安交通大学 经济与管理学院, 西安 710049
基金项目:国家社会科学基金(15BGL014);教育部人文社科青年基金(12YJCZH226)
摘    要:研究快递网络鲁棒性的分析和优化方法.考虑到快递网络中节点城市和包裹投递的地理空间特征,提出基于节点城市之间投递距离的加权快递网络抽象描述及其鲁棒性分析方法.进而在有目的的节点城市移除规则和随机的投递路线移除规则下,分析航空投递网络和陆运投递网络的鲁棒性,发现前者的鲁棒性明显优于后者.然后,通过分析航空投递网络和陆运投递网络的微观结构特点.结合节点城市实现包裹投递的基本功能要求,提出基于节点城市包裹投递能力的加权快递网络鲁棒性优化思路方法,并给出航空投递网络和陆运投递网络的优化结果.

关 键 词:加权快递网络  复杂网络  网络鲁棒性  
收稿时间:2014-07-21

Analyzing and optimizing the robustness of weighted express networks
XIE Fengjie,CUI Wentian. Analyzing and optimizing the robustness of weighted express networks[J]. Systems Engineering —Theory & Practice, 2016, 36(9): 2391-2399. DOI: 10.12011/1000-6788(2016)09-2391-09
Authors:XIE Fengjie  CUI Wentian
Affiliation:1. College of Economics and Management, Xi'an University of Posts and Telecommunications, Xi'an 710061, China;2. School of Management, Xi'an Jiaotong University, Xi'an 710049, China
Abstract:The methods to analyze and optimize the robustness of weighted express networks are discussed in this paper. Taking account of the geographical and spatial features of express networks, the weighted express networks are depicted based on the delivery distance between node cites, and the robustness analysis method for the express networks is introduced. Under the rules of targeted removal of node cites and random removal of delivery routes, the robustness of air delivery network and ground delivery network is analyzed. The air delivery network exhibits stronger robustness than the ground delivery network. Then, the micro-structure characteristics of the air delivery network and the ground delivery network are analyzed, and the basic functional requirement of node cities to deliver parcels is considered. The method to optimize the robustness of weighted express networks is proposed based on the parcel delivery capability of node cities, and the optimization results of the air delivery network and the ground delivery network are presented.
Keywords:weighted express networks  complex network  network robustness
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