Mixed-Model Assembly Line Balancing Based on PSO-SA Alternate Algorithm

摘要：

According to the characteristic of the mixed-model assembly line balancing problem, the multi-objective optimization mathematical model is set up, PSO-SA alternate algorithm which is based on is Particle Swarm Optimization Algorithm and Simulated Annealing Algorithm is proposed to solve the MMALB problem. The result shows that the PSO-SA algorithm is better efficient on the search speed and solution accuracy, which ensures a higher assembly line balancing ratio and makes the work time more even among all stations. The PSO-SA algorithm for the mixed-model assembly line balancing is feasible and effective.

关键词： PSO-SA alternate algorithm mixed-model assembly line balancing encode and decode smoothing exponential balancing efficiency

作者: SUN Qiu-gao

作者单位: Transport management school Zhejiang Institute of Communications Hangzhou, P.R. China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1857-1860

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）