Assembly line balancing based on an adaptive genetic algorithm

被引:47
|
作者
Yu, Jianfeng [1 ]
Yin, Yuehong [2 ]
机构
[1] Jiangsu Entry Exit Inspect & Quarantine Bur, Mech & Elect Prod Testing Ctr, Wuxi 214174, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
关键词
Assembly line; Balancing; Adaptive probability; Genetic algorithm; OPTIMIZATION MODEL;
D O I
10.1007/s00170-009-2281-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An adaptive genetic algorithm is presented as an intelligent algorithm for the assembly line balancing in this paper. The probability of crossover and mutation is dynamically adjusted according to the individual's fitness value. The individuals with higher fitness values are assigned to lower probabilities of genetic operator, and vice versa. Compared with the traditional heuristic algorithms, the adaptive genetic algorithm has effective convergence and efficient computation speed. The computational results demonstrate that the proposed adaptive genetic algorithm is an effective algorithm to deal with the assembly line balancing to obtain a smoother line.
引用
收藏
页码:347 / 354
页数:8
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