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
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