Research of Accurate NURBS Curve Fitting Based on Genetic Algorithm

Yin Juan Zhang; Yong Ke Wang

doi:10.4028/www.scientific.net/AMR.479-481.1927

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 479-481Research of Accurate NURBS Curve Fitting Based on...

Research of Accurate NURBS Curve Fitting Based on Genetic Algorithm

Abstract:

In order to control the curve modality of non-uniform rational B-spline accurately, the genetic algorithm is presented to the manipulative precision of NURBS curve fitting. The manipulative precision of curve fitting and the overall side-by-side search ability of genetic algorithm were researched; the excellent unit is founded in the field of weight coefficient. The precision result and the curve figure of curve fitting using the excellent weight coefficient are better. The examples of data fitting are given to show that the curves fitting used genetic algorithms are better in approximation. The precision result of curve fitting is improved. The global optimal search of genetic algorithm provides a reliable tool for scientific data processing.

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Periodical:

Advanced Materials Research (Volumes 479-481)

Pages:

1927-1930

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.479-481.1927

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Online since:

February 2012

Authors:

Yin Juan Zhang, Yong Ke Wang

Keywords:

Curve Fitting, Genetic Algorithm (GA), Non-Uniform Rational B-Spline(NURBS), Parametric Curve, Weight Coefficient

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