An iterative particle swarm algorithm is proposed for the robust optimization problem of hatch processes without state independent and end-point constraints, which combines the iteration method and the particle swarm optimization algorithm together.
An iterative particle swarm algorithm is proposed for the robust optimization problem of hatch processes without state independent and end-point constraints, which combines the iteration method and the particle swarm optimization algorithm together.
摘要针对无状态独立约束和终端约束的间歇过程鲁棒优化问题，将迭代方法与粒子群优化算法相结合，提出了迭代粒子群算法。