首页 | 本学科首页   官方微博 | 高级检索  
     

SCE-UA、遗传算法和单纯形优化算法的应用
引用本文:宋星原,舒全英,王海波,廖为民.SCE-UA、遗传算法和单纯形优化算法的应用[J].武汉大学学报(工学版),2009,42(1).
作者姓名:宋星原  舒全英  王海波  廖为民
作者单位:1. 武汉大学水资源与水电工程国家重点实验室,湖北,武汉,430072
2. 石门水库管理处,湖北,钟祥,431936
摘    要:简要介绍了在水文模型参数优选中有代表性的3个算法,即SCE-UA(Shuffled Complex Evolution)、遗传算法和改进的单纯形法,采用基于MATLAB的多次独立的复杂函数全局优化测验,并将3种方法应用于三水源新安江模型参数自动优选,对各优化算法的应用效果进行分析比较,并讨论各算法的收敛速度、计算量以及稳定性和有效性.结果表明SCE-UA综合了遗传算法和单纯形法优点,能够全局一致、快速地收敛到全局最优解,取得了较为满意的结果.

关 键 词:SCE-UA  遗传算法  单纯形法  全局优化  水文模型

Comparison and application of SCE-UA, genetic algorithm and simplex method
SONG Xingyuan,SHU Quanying,WANG Haibo,LIAO Weiming.Comparison and application of SCE-UA, genetic algorithm and simplex method[J].Engineering Journal of Wuhan University,2009,42(1).
Authors:SONG Xingyuan  SHU Quanying  WANG Haibo  LIAO Weiming
Abstract:Three representative optimization methods in hydrologic parameters optimization are briefly introduced;namely SCE-UA(shuffled complex evolution-University of Arizona),genetic algorithm and revised simplex method.Three optimization methods are tested by optimizing some representative complicated functions based on MATLAB and applied to the automatic parameter calibration of three-component Xinanjiang Model.The application effectiveness of three methods is analyzed and compared.The convergence rate,computational effort,stability as well as efficiency of each algorithm are discussed.The results show that SCE-UA integrating the advantages of genetic algorithm and simplex method can globally,coherently and rapidly converge to optimal solutions and achieve satisfactory results.
Keywords:SCE-UA
本文献已被 万方数据 等数据库收录!
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