期刊文献+

基于粒子群算法求解P-Ⅲ型曲线参数及其应用 被引量:4

A Method to Solve the Pearson Ⅲ Curve Parameters Base on Particle Swarm Optimization and Its Application
下载PDF
导出
摘要 针对国际水电工程评估中受资料条件限制,无水文序列和P-Ⅲ曲线特征参数的情况,考虑利用邻近流域工程P-Ⅲ分布下的水文特征值求解P-Ⅲ曲线参数。假定P-Ⅲ曲线方程为三参数方程,构造方程组或超定方程组,利用最小二乘法基本原理构造适应度函数,采用粒子群算法求解P-Ⅲ曲线特征参数,并应用于工程实例中。结果表明,此方法求解的P-Ⅲ曲线的参数精度满足工程要求,为利用已有工程的水文特征值求解P-Ⅲ分布的参数提供了一种途径,具有较好的工程应用价值。 In order to solve the P-Ⅲ Curve parameters by using the hydrological eigenvalue of the constructed international hydropower project without hydrological series,equation set or over-determined equations were established on the assumption that the P-Ⅲ Curve equation has three parameters.The corresponding fitness function was constructed base on the Least Square Method,and the optimal solution of the P-Ⅲ Curve parameters was obtained by using the particle swarm optimization.This method was applied to examples and the results show that the precision of the P-Ⅲ Curve parameters meet the need of project application.Thus,it is an effective method to solve the P-Ⅲ Curve parameters by using the hydrological eigenvalue of the constructed hydropower project,and it has valuable in the project design.
作者 李燐楷
出处 《水电能源科学》 北大核心 2018年第3期18-20,29,共4页 Water Resources and Power
关键词 P-Ⅲ曲线 水文参数 粒子群算法 适应度函数 MATLAB P-Ⅲ curve hydrological parameter particle swarm optimization fitness function Matlab
  • 相关文献

参考文献4

二级参考文献7

  • 1蔡大用 白峰杉.现代科学计算[M].北京:清华大学出版社,2001.. 被引量:5
  • 2朱歧武,拜存有.水文与水利水电规划[M].郑州:黄河水利出版社,2003. 被引量:3
  • 3Kennedy J,Eberhart R.Particle swarm optimization[A].Proceedings of IEEE International Conference on Neural Networks(ICNN'95)[C].Perth,WA,Australia,1995,1942~1948. 被引量:1
  • 4Eberhart R,Kennedy J.A new optimizer using particle swarm theory[A].Proceedings of Sixth International Symposium on Micro Machine and Human Science[C].Nagoya,Japan:Nagoya Municipal Industrial Research Institute,1995,39~43. 被引量:1
  • 5Shi Yu-hui,Eberhart R.Parameter selection in particle swarm optimization[A].Proceedings of 7th Annual Conference on Evolutionary Programming[C].March 1998,591~601. 被引量:1
  • 6Ray T,Liew K M.A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimization problems[A].Proceedings of IEEE International Conference on Evolutionary Computation[C].South Korea:IEEE Press,Seoul,2001,75~80. 被引量:1
  • 7孔敏,沈祖和.解非线性方程组的极大熵方法[J].高等学校计算数学学报,1999,21(1):1-7. 被引量:13

共引文献30

同被引文献55

引证文献4

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部