首页 | 本学科首页   官方微博 | 高级检索  
     

动态规划-粒子群算法在水库优化调度中的应用
引用本文:李顺新,杜辉.动态规划-粒子群算法在水库优化调度中的应用[J].计算机应用,2010,30(6):1550-1551.
作者姓名:李顺新  杜辉
作者单位:1. 武汉科技大学2. 武汉科技大学计算机科学与技术学院
摘    要:水库优化调度是一个典型的具有多约束条件的、动态的、非线性的优化问题。针对这些问题,利用动态规划-粒子群(DP-PSO)算法加以求解。利用动态规划中的多阶段最优策略原理,将水库优化调度问题转化为多阶段决策子问题,各个子问题采用粒子群算法优化求解。数值实验表明,在计算时段较多时,DP-PSO算法计算的可靠性明显优于一般的动态规划(DP)算法,在计算时间上,DP-PSO算法用时较动态规划-遗传算法(DP-GA)少。

关 键 词:水库调度    粒子群算法    动态规划    动态规划-粒子群算法
收稿时间:2009-12-24
修稿时间:2010-02-22

Optimal operation of reservoir based on dynamic programming and particle swarm optimization
LI Shun-xin,DU Hui.Optimal operation of reservoir based on dynamic programming and particle swarm optimization[J].journal of Computer Applications,2010,30(6):1550-1551.
Authors:LI Shun-xin  DU Hui
Affiliation:College of Computer Science and Technology/a>;Wuhan University of Science and Technology/a>;Wuhan Hubei 430081/a>;China
Abstract:Reservoir optimal scheduling is a typical multi-constrained,dynamic,non-linear optimization problem.To solve this problem,a Dynamic Programming-Particle Swarm Optimization (DP-PSO) algorithm was used to solving.This algorithm used the optimal Dynamic Programming (DP) principle to convert the reservoir optimal scheduling problem to multistage decision-making sub-problems;the solution of each sub-problem was got by particle swarm optimization algorithm.The numerical experiments show that with more time in cal...
Keywords:Reservoir Operation                                                                                                                        particle swarm optimization algorithm                                                                                                                        dynamic programming                                                                                                                        dynamic programming-particle swarm optimization algorithm
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号