The simulation results of a batch process shows that the iterative particle swarm algorithm can solve the robust optimization problems of batch processes effectively if there is no state independent and end-point constraints.
The simulation results of a batch process shows that the iterative particle swarm algorithm can solve the robust optimization problems of batch processes effectively if there is no state independent and end-point constraints.
对一个间歇过程的仿真结果证明了迭代粒子群算法可以有效地解决无状态独立约束和终端约束的间歇过程鲁棒优化间题。