摘要
针对传统调度算法寻优效率低的弱点,从MES功能出发,将其调度功能单独抽出,提出了基于聚类的粒子群优化算法,将聚类用于粒子群搜索空间的改进。仿真结果表明了该算法的有效性。
A new particle swarm optimization(PSO) algorithm is proposed for scheduling in manufacturing execution systems(MES).By taking scheduling function as a stand-alone module in an MES,the proposed algorithm uses clustering technique to improve the particles' search space.Simulation results demonstrate that it is more efficient than the traditional scheduling algorithms.
出处
《工业工程》
北大核心
2011年第1期53-57,共5页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(50675069)
关键词
粒子群优化
制造执行系统
调度
聚类分析
particle swarm optimization
manufacturing execution system
scheduling
clustering