基于遗传算法的水文频率曲线计算应用研究
Research on application of hydrological frequency curve calculation based on genetic algorithm
史彤阳 1赵奇 1冯淋文2
作者信息
- 1. 华北水利水电大学 地球科学与工程学院,河南 郑州 450045
- 2. 广东粤北工程设计研究有限公司,广东 清远 511500
- 折叠
摘要
水文频率曲线用于计算水利水电工程设计值,其参数精确度影响设计值.文章基于遗传算法优化水文频率曲线参数,通过计算偏差系数、变差系数、离差绝对值和最小准则作为遗传算法最优适应度函数,对皮尔逊Ⅲ型分布参数进行优化,提高了理论频率曲线和实测数据的拟合精度,证明遗传算法应用于水文频率曲线是一种有效的分析方法.
Abstract
The hydrological frequency curve is used to calculate the design value of water conservancy and hydropower engineering,and the accuracy of its parameters affects the design value.In this paper,the parameters of the hydrological frequency curve are optimized based on the genetic algorithm,and the Pearson type Ⅲ.distribution parameters are optimized by calculating the deviation coefficient,variation coefficient,absolute dispersion value and minimum criterion as the optimal fitness function of the genetic algorithm,which improves the fitting accuracy of the theoretical frequency curve and the measured data,and proves that the genetic algorithm applied to the hydrological frequency curve is an effective analysis method.
关键词
遗传算法/水文频率曲线/参数优化/PythonKey words
genetic algorithm/hydrological frequency curves/parameter optimization/Python引用本文复制引用
出版年
2024
NETL
NSTL
万方数据