Parameter Optimization for Bezier Curve Fitting Based on Genetic Algorithm

摘要：

　　Fitting is one of the most important methods for free curve and surface modeling.This paper constructs the least squares fitting mathematical model for Bezier curve to fit the given data points on two-dimensional space.The genetic algorithm is applied to optimize the parameters of Bernstein basis function.The chromosomes are coded using real numbers.The fitness function is the reverse of the sum of the squared error.The simulation results show the feasibility and efficiency of the proposed method.

关键词： Genetic Algorithm Bezier Curve Curve Fitting

作者: Linghui Zhao Jingqing Jiang Chuyi Song Lanying Bao Jingying Gao

作者单位: College of Mathematics, Inner Mongolia University for Nationalities, Tongliao Inner Mongolia 028043, College of Mathematics, Inner Mongolia University for Nationalities, Tongliao Inner Mongolia 028043,

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 451-458

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）