摘要
利用遗传算法对P-Ⅲ型分布曲线进行参数估计,论证了包括均值、离差系数和偏态系数的三参数优化方法优于只求解离差系数和偏态系数的两参数优化方法。对于含历史特大值的不连续数据序列,建议采取加权适线的曲线拟合方法。基于遗传算法M atlab工具箱设计了用于P-Ⅲ型分布参数估计和设计波浪要素推算的程序。
A method based on Genetic Algorithm is employed to estimate the parameters of P- Ⅲ distribution. Through computation it is found that the results of optimizing three parameters of the mean, the coefficient of variation and the coefficient of skewness, are better than that of only optimizing the coefficient of variation and the coefficient of skewness. For discontinuous data with extraordinary value in history, the weighting curve-fitting method is suggested. Based on the Matlab Toolbox of Genetic Algorithm, an open source code is developed for the estimation of P- Ⅲ distribution parameters and design waves.
出处
《港工技术》
北大核心
2006年第3期1-3,共3页
Port Engineering Technology
基金
国家自然科学基金资助项目(50079015)
关键词
设计波浪要素推算
P-Ⅲ分布曲线
参数估计
遗传算法
加权
design wave estimation
Pearson type 3 distribution
parameters estimation
genetic algorithm
weighting
