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
电子邮箱:zjguo@dlut.edu.cn

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基于二维染色体编码的集装箱海运网络免疫算法优化模型

发表时间:2023-02-24 点击次数:

论文名称:基于二维染色体编码的集装箱海运网络免疫算法优化模型
发表刊物:土木工程学报
期号:8
页面范围:94-99
ISSN号:1000-131X
摘要:It has become apparent that the use of mega-container ships for maritime transport can bring considerable economical benefits to both carriers and shippers. In order to make this into a reality, one may have to optimize the maritime transport network, thus to maximize the scale of economy. The action must be complemented with a reasonable selection of container type and programming of sea route. The present paper deals with the optimization work of marine transport network for a group of container seaports by a heuristic method Immune Algorithm (IA) on the basis of two-dimensional chromosome encoding. As it is known, the two-dimensional chromosome encoding could accurately express the characteristic of the transport network; IA on the basis of it can resolve the problem properly. The simulation results indicate that IA can avoid an insurmountable combinational explosion flaw by simulating the behavior of natural immune system, and account for the aforementioned uptrend. Hence, a reliable method is provided for the vessel and port operators to rationally plan the container maritime transport system.
备注:新增回溯数据
发表时间:2022-10-10