Mixed-model Assembly Line Balancing Using the Hybrid Genetic Algorithm

被引：6

作者：

Bai Ying ^{[1
]}

Zhao Hongshun ^{[1
]}

Zhu Liao ^{[2
]}

机构：

[1] Changzhou Inst Machatron Technol, Dept Elect Engn, Changzhou, Peoples R China

[2] Hexi Univ, Dept Elect Mech Engn, Zhangye, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL III | 2009年

关键词：

Mixed-model assembly line; Balancing; Genetic algorithm;

D O I：

10.1109/ICMTMA.2009.591

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In view of the existing problem of mixed-model assembly line balancing, a mathematical model is proposed based on two factors, which are integrated including the workstation number and the assembly line efficiency. Then a new hybrid genetic algorithm is developed for finding optimal solution of the problems. To prevent the premature convergence problem and enhance the globe-optimization capability, GA (genetic algorithms) is combined with SA (simulated annealing algorithms). The results of the simulation indicated that the hybrid algorithm has better efficiency an optimization performance.

引用

页码：242 / +

页数：2