郭子坚Guo Zijian

教授

 博士生导师  硕士生导师
学位:博士
性别:男
毕业院校:日本大学大学院
所在单位:水利工程系
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Dynamic robustness analysis of container marine transportation network using improved ACO approach

发布时间:2019-03-11 点击次数:

论文类型:会议论文
收录刊物:Scopus、EI
页面范围:333-338
摘要:The robustness of container marine transportation network (CMTN) has tremendous effects in functioning and security of international shipping and logistics. Therefore, this paper investigates the dynamic robustness of CMTN against random and intentional attacks. We first present a CMTN reconfiguration model for dynamic robustness analysis, which reconfigures a CMTN structure according to types of attacks while minimizing the total cost of CMTN. Secondly an improved Ant Colony Optimization (ACO) is proposed by importing crossover operators into a coarse-grained parallel ACO algorithm to solve the model. Thirdly dynamic robustness of CMTN is defined on the basis of complex network theory. Finally, its application to practical regional CMTN is presented to identify the CMTN robustness using the proposed ACO. The results indicate that the proposed ACO is suitable for solving CMTN problem, and CMTN is a random network but with scale-free characteristics, and better robustness against random and intentional attacks.