摘要
介绍了集群智能优化算法PSO和其改进算法惯性权重模型,给出了PSO算法原理和具体的求解步骤,并将其应用于南盘江上游水库洪水调度计算,结果合理,满足防洪调度要求,证明了粒子群优化算法在水库洪水调度上可以有较好的应用,为水库防洪优化调度提供了一条新的途径。
Inertia weight model based on Particle Swarm Optimizer is introduced. The basic theory of PSO and calculation steps are illustrated. PSO is applied to the operation of a reservoir in flood conditions on the upper reaches of the Nanpan River. The results are reasonable and meet the requirements of flood scheduling. It is shown that PSO can be applied well to flood control scheduling of reservoir.
出处
《四川大学学报（工程科学版）》
EI
CAS
CSCD
北大核心
2006年第5期54-57,共4页
Journal of Sichuan University (Engineering Science Edition)
基金
国家自然科学基金资助项目(50539050)
关键词
粒子群优化算法
惯性权重模型
防洪调度
Particle Swarm Optimization
inertia weight model
flood control scheduling of reservoir
