首页 | 本学科首页   官方微博 | 高级检索  
     

差分进化算法在马斯京根模型参数优选中的应用
引用本文:王文川,徐冬梅,邱林.差分进化算法在马斯京根模型参数优选中的应用[J].水利科技与经济,2009,15(9):756-758.
作者姓名:王文川  徐冬梅  邱林
作者单位:1. 华北水利水电学院,水利学院,郑州,450011
2. 华北水利水电学院,环境与市政工程学院,郑州,450011
摘    要:针对马斯京根模型参数最优估计中求解复杂、精度差等问题,结合绝对残差绝对值之和最小准则,提出应用差分进化算法(Differential Evolution Algorithm)直接优选模型参数。同其它算法相比,实例分析表明该算法具有较强的全局搜索能力和较高的计算精度。为更好地优选马斯京根模型参数提供了一种更为有效的新方法。

关 键 词:差分进化算法  马斯京根模型  参数优选  河道洪水演算

Differential Evolution Algorithm for Parameter Optimization of Muskingum Routing Model
WANG Wen-chuan,XU Dong-mei,QIU Lin.Differential Evolution Algorithm for Parameter Optimization of Muskingum Routing Model[J].Water Conservancy Science and Technology and Economy,2009,15(9):756-758.
Authors:WANG Wen-chuan  XU Dong-mei  QIU Lin
Affiliation:1. Faculty of Water Conservancy Engineering, North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou 450011, China; 2. Faculty of Environmental and Municipal Engineering, North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou 450011, China)
Abstract:In order to solve the problem of complexity and poor accuracy for parameter optimization of Muskingum Routing Model, this paper presents the direct optimum selection of parameters of model by using differential evolution algorithm and combining with the minimum criterion and absolute value of absolute errors. The Comparison of results of examples shows that it has better global searching ability and calculation accuracy than other algorithms in paper and is an effective and efficient new global optimization method for accuracy optimization of Muskingum Routing Model parameter.
Keywords:differential evolution algorithm  Muskingum Routing Model  parameter optimization  channel flood routing
本文献已被 维普 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