首页|基于遗传算法的水文频率曲线计算应用研究

基于遗传算法的水文频率曲线计算应用研究

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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.
Research on application of hydrological frequency curve calculation based on genetic algorithm
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.

genetic algorithmhydrological frequency curvesparameter optimizationPython

史彤阳、赵奇、冯淋文

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华北水利水电大学 地球科学与工程学院,河南 郑州 450045

广东粤北工程设计研究有限公司,广东 清远 511500

遗传算法 水文频率曲线 参数优化 Python

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(8)
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