Research on Shipboard Material Scheduling Optimization Based on Improved Genetic Algorithm

被引：0
|
作者：
Yuan, Feihui [1 ,2 ]
Li, Jinghua [1 ,3 ]
Zhou, Qinghua [3 ]
He, Ming [1 ]
机构：
[1] Harbin Engn Univ, Coll Shipbuilding Engn, Harbin 150001, Peoples R China
[2] Shanghai Waigaoqiao Shipbuilding Co Ltd, Shanghai 200000, Peoples R China
[3] Harbin Engn Univ, Coll Mech & Elect Engn, Harbin 150001, Peoples R China
来源：
WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2022年 / 2022卷
关键词：
FLEXIBLE JOB-SHOP; GENERATION;
D O I：
10.1155/2022/3451408
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The development of the cruise industry is an important part of the country's "Marine power" and "One Belt, One Road" strategy. Improving the independent construction of cruise ships is of great significance to my country's economic and social development. Aiming at the problem of the assembly order of cruise ship outfitting parts are many, the quantity is large, and the interchangeability of materials is higher than that of conventional ships, a cruise ship outfitting on-board assembly scheduling problem model is constructed, and a cruise ship outfitting on-board assembly material scheduling method oriented to generally outfitting is proposed. The improved genetic algorithm is used to dispatch the materials on the outfitting ships to realize the optimal utilization of the materials and materials, and the effectiveness of the method is proved by the example verification.
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页数：12
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