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
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.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] SIMULATION OF MULTIVARIATE SCHEDULING OPTIMIZATION FOR OPEN PRODUCTION LINE BASED ON IMPROVED GENETIC ALGORITHM
    Li, H. Y.
    Gui, C.
    Xiao, K.
    INTERNATIONAL JOURNAL OF SIMULATION MODELLING, 2018, 17 (02) : 347 - 358
  • [32] The research of resource scheduling based on Genetic Algorithm
    Yuan, Zhiling
    Yuan, Yiping
    Yang, Meng
    Key Engineering Materials, 2012, 522 : 799 - 803
  • [33] AGV Scheduling Optimizing Research of Collaborative Manufacturing System Based on Improved Genetic Algorithm
    Ren, Naifei
    Liu, Dan
    Zhao, Yan
    Ge, Xiaobing
    MECHATRONICS AND APPLIED MECHANICS II, PTS 1 AND 2, 2013, 300-301 : 55 - 61
  • [34] Research on Dynamic Task Scheduling of Transmission and Generation of Schedule Based on Improved Genetic Algorithm
    Wang, Xinzhe
    Yao, Wenbin
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2023, 32 (18)
  • [35] Research on inheritance reconfiguration scheduling of virtual manufacturing cell based on improved genetic algorithm
    Zhao L.
    Wang A.
    Wang K.
    Yu C.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2022, 51 (11):
  • [36] Research and Simulation on Flow-Shop Scheduling Problem based on Improved Genetic Algorithm
    Zhang Rong
    Wei Wen-gao
    Jiang Zhen-zhen
    Ma Xiu-ming
    PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 916 - 919
  • [37] Research on Wind Power Optimization Scheduling Based on Improved Plant Growth Simulation Algorithm
    Sun, Hexu
    Zhang, Hang
    Lei, Zhaoming
    PROCEEDINGS OF 2019 CHINESE INTELLIGENT AUTOMATION CONFERENCE, 2020, 586 : 473 - 481
  • [38] Improved Genetic Algorithm for Finance-Based Scheduling
    Alghazi, Anas
    Elazouni, Ashraf
    Selim, Shokri
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2013, 27 (04) : 379 - 394
  • [39] Dynamic Surgery Scheduling Based on an Improved Genetic Algorithm
    Zhang, Bingbing
    Su, Qiang
    JOURNAL OF HEALTHCARE ENGINEERING, 2021, 2021
  • [40] Research on optimal scheduling of microgrid based on improved quantum particle swarm optimization algorithm
    Liu F.
    Duan P.
    EAI Endorsed Transactions on Energy Web, 2024, 11 : 1 - 12