基于聚类的粒子群优化算法在MES调度中的应用

摘要

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.%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.