Shipping network optimization of port equipment components based on improved genetic algorithm

被引：0
|
作者：
Li, Huaidong [1 ,2 ]
Hu, Jiankun [2 ]
Tong, Bangyu [3 ]
机构：
[1] Zhenhua Heavy Ind Co Ltd, Shanghai, Peoples R China
[2] Shanghai Maritime Univ, Inst Logist Sci & Engn, Shanghai 201306, Peoples R China
[3] China United Engn Corp Ltd, Hangzhou, Zhejiang, Peoples R China
来源：
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING | 2022年 / 22卷 / 05期
关键词：
Port equipment; shipping network; genetic algorithm; bi level parallel search;
D O I：
10.3233/JCM-226128
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The management of components ensures that the port equipment is in good working condition, ensure port production safety and continuity. In this paper, a port equipment component supply network optimization model that considers the characteristics of shipping network is proposed to optimize hub port selection, route choice, ship deployment, inventory optimization, etc. At the same time, an improved genetic algorithm is developed, including chromosome matrix, row column crossover genetic operation, and double-layer parallel search. The results show that the model and algorithm can effectively obtain a better solution and achieve the optimization goal.
引用
收藏
页码：1583 / 1590
页数：8
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