标题:
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
作者:
刘莲, 冯仁忠
关键字:
B样条曲线, 最小二乘拟合, 遗传算法B-Spline Curve, The Least Squares Fitting, Genetic Algorithm
期刊名称:
《Advances in Applied Mathematics》, Vol.3 No.4, 2014-11-06
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。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.