遗传算法求解B样条曲线最小二乘拟合问题
Least Squares Fitting with B-Spline by Genetic Algorithm
DOI: 10.12677/AAM.2014.34024, PDF, HTML,  被引量 下载: 3,519  浏览: 10,082  国家自然科学基金支持
作者: 刘 莲, 冯仁忠：北京航空航天大学，数学与系统科学学院，北京
关键词: B样条曲线；最小二乘拟合；遗传算法；B-Spline Curve； The Least Squares Fitting； Genetic Algorithm
摘要: 本文提出利用遗传算法对四组不同的二维翼型数据进行线性及非线性B样条曲线最小二乘拟合，发现遗传算法解决这类问题是有效可行的。
Abstract: In this paper, we propose genetic algorithm to obtain a good approximation for least squares fitting with linear and nonlinear B-spline, and four different two-dimensional airfoil data fittings are given to show that genetic algorithm solves this kind of problem feasibly and effectively.
文章引用：刘莲, 冯仁忠. 遗传算法求解B样条曲线最小二乘拟合问题[J]. 应用数学进展, 2014, 3(4): 160-168. http://dx.doi.org/10.12677/AAM.2014.34024

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