Title :
Offset of NURBS curves by genetic algorithm
Author :
Ke, Lii ; Ning, He
Author_Institution :
Dept. of Math. & Comput., Ningxia Univ., Yinchuan, China
Abstract :
In this paper, we present a new method which uses genetic algorithm to produce offsetting two-dimensional NURBS curves; a parameter optimization method is used for approximating offset curves. The objective function being minimized is the explicit summation of square of errors at sample point piecewise processing which yields valid profiles. The result shows that genetic algorithm is more efficient than traditional methods
Keywords :
computational geometry; computer graphics; genetic algorithms; splines (mathematics); 2D NURBS curves; genetic algorithm; nonuniform rational B spline; objective function; offset curves; parameter optimization; Genetic algorithms; Helium; Mathematics; Optimization methods; Spline; Surface reconstruction; Surface topography;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.860033
