计算机与数字工程2018，Vol.46Issue(3)：465-470,484,7.DOI:10.3969/j.issn.1672-9722.2018.03.009
一种基于粒子群算法的生产线缓冲区容量分配技术
PSO-based Production Line Buffer Capacity Allocation Technology
刘军 1马超1
作者信息
- 1. 兰州理工大学机电工程学院 兰州730050
- 折叠
摘要
Abstract
For serial line disturbed by random events,an analysis method of multi-population particle swarm optimization is proposed to deal with buffer capacity allocation problem with an objective of maximum productivity for a buffer capacity fixed.A cer?tain number of particle swarms are equally divided into multiple populations which evolve in a rule with the ω linear decreasing strategy. Particle swam optimizers of populations are endowed with different inertia weight and the cooperative coevolution is achieved with immigration operator,which keeps evolution independence and cooperativeness of populations. Numerical results shows that the method is better than traditional algorithms in convergence precision,robustness,local search capability and can ob?tain global optimal solution in less iterations when it is used for small and large-scale production line system and it also shows re?markable result for overcoming premature convergence.关键词
粒子群算法/缓冲区容量分配/直线型生产线/多种群Key words
particle swarm optimization algorithm/buffer capacity allocation/serial line/multi-population分类
信息技术与安全科学引用本文复制引用
刘军,马超..一种基于粒子群算法的生产线缓冲区容量分配技术[J].计算机与数字工程,2018,46(3):465-470,484,7.
