Mixed-model Assembly Line Balancing Using the Hybrid Genetic Algorithm

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 globeoptimization 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.

关键词： Mixed-model assembly line Balancing Genetic algorithm

作者: Bai Ying Zhao Hongshun Zhu Liao

作者单位: Department of Electrical Engineering Changzhou Institute of Machatronic Technology Changzhou, China Electrical and Mechanical Engineering Department Hexi University Zhangye, China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机电自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 242-245

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）