A Hybrid Immune Algorithm for Sequencing the Mixed-Model Assembly Line with Variable Launching Intervals

被引：0
|
作者：
Liu, Ran [1 ]
Lou, Peihuang [1 ]
Tang, Dunbing [1 ]
Yang, Lei [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing 210016, Peoples R China
[2] Jiangsu Miracle Logistics, Wuxi 214187, Peoples R China
来源：
INFORMATION COMPUTING AND APPLICATIONS, PT 1 | 2010年 / 105卷
关键词：
immune algorithm; distributed systems; mixed-model assembly line; variable launching intervals;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A challenging multi-objective sequencing problem with variable launching intervals has been studied. A novel hybrid algorithm based on a multi-objective clonal selection algorithm and a co-evolutionary algorithm has been developed for the system control. The clonal selection algorithm for the multi-objective sequencing models is worked as a driving system, while the co-evolutionary immune algorithm for acquiring launching intervals is subordinated and run in parallel on distributed systems in order to guarantee the real-time requirements. The evolution operators such as coding, decoding and collaboration formation mechanism are defined. The scheme has been proven to M improve the system optimization and achieve better solution sets as compared with other available algorithms.
引用
收藏
页码：399 / +
页数：2
相关论文
共 50 条
  • [21] Mixed-model assembly line sequencing at Hyundai Motor Company
    Duplaga, Edward A.
    Hahn, Chan K.
    Hur, Daesik
    [J]. Production and Inventory Management Journal, 37 (03): : 20 - 26
  • [22] Mixed-model assembly line sequencing using beam search
    Erel, Erdal
    Gocgunz, Yasin
    Sabuncuoglu, Ihsan
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2007, 45 (22) : 5265 - 5284
  • [23] An Improved Differential Evolution Algorithm for Mixed-Model Assembly Sequencing
    Huang Gang
    Liu Shaolei
    Li Jinhang
    Fang Bo
    [J]. APPLIED INFORMATICS AND COMMUNICATION, PT 4, 2011, 227 : 588 - +
  • [24] A hybrid multi-objective shuffled frog-leaping algorithm for a mixed-model assembly line sequencing problem
    Rahimi-Vahed, Alireza
    Mirzaei, Alil Hossein
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2007, 53 (04) : 642 - 666
  • [25] An Improved Differential Evolution Algorithm for Mixed-model Assembly Sequencing
    Huang Gang
    Liu Shaolei
    Li Jinhang
    Fang Bo
    [J]. 2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL IV, 2010, : 368 - 372
  • [26] An imperialist competitive algorithm in mixed-model assembly line sequencing problem to minimise unfinished works
    Zandieh, M.
    Moradi, Hadi
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS, 2019, 6 (02) : 179 - 192
  • [27] The Improved Genetic Algorithm for Balancing Mixed-model Assembly Line
    Tang, Qiuhua
    Liang, Yanli
    [J]. NUMBERS, INTELLIGENCE, MANUFACTURING TECHNOLOGY AND MACHINERY AUTOMATION, 2012, 127 : 603 - 608
  • [28] Real options approach for a mixed-model assembly line sequencing problem
    Rabbani, Masoud
    Rahimi-Vahed, Alireza
    Torabi, Seyed Ali
    [J]. International Journal of Advanced Manufacturing Technology, 2008, 37 (11-12): : 1209 - 1219
  • [29] Assembly line balancing in a mixed-model sequencing environment with synchronous transfers
    Karabati, S
    Sayin, S
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2003, 149 (02) : 417 - 429
  • [30] Bi-objective sequencing decision model for mixed-model assembly line
    Sun, Baofeng
    Shen, Xiuxiu
    Long, Shuling
    Lu, Zhaoyu
    [J]. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2017, 23 (07): : 1481 - 1491
12345