粒子群算法在水库(群)优化调度研究中的应用综述  

Review on application of particle swarm optimization to operation of reservoirs (groups)

作　　者：邓显羽[1] 彭勇[1] 叶碎高[2] 温进化[2] 何斌[1] 

机构地区：[1]大连理工大学水利工程学院,辽宁大连116024 [2]浙江省水利河口研究院,浙江杭州310008

出　　处：《水利水电科技进展》2010年第5期90-94,共5页Advances in Science and Technology of Water Resources

基　　金：浙江省科研院所专项(2008F1021)

摘　　要：简要介绍粒子群算法的工作原理和水库(群)优化调度模型,然后较全面地阐述粒子群算法在水库(群)优化调度中的应用及存在的问题,最后总结了算法的各种改进,并对粒子群算法在水库(群)中的研究进行了展望。The particle swarm optimization（PSO） algorithm is one of the swarm intelligence optimization methods characterized by easy implementation,few parameters and fast convergence.First,the work principles of the PSO and the optimal operation model for reservoirs（groups） were described.Then,the application of the PSO algorithm to the optimal operation of reservoirs（groups） as well as the existing problems was comprehensively discussed.Finally,various modifications for the PSO algorithm were summarized,and some perspectives for its application to the optimal operation of reservoirs（groups） were proposed.

关 键 词：水库(群)优化调度 粒子群算法 算法改进 

分 类 号：TV697.11[水利工程—水利水电工程]