DocumentCode :
2148516
Title :
Differential Evolution Optimization for Bezier Curve Fitting
Author :
Pandunata, Priza ; Shamsuddin, Siti Mariyam Hj
Author_Institution :
Soft Comput. Res. Group, Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2010
fDate :
7-10 Aug. 2010
Firstpage :
68
Lastpage :
72
Abstract :
In this study, we propose an alternative solution for Bezier curve fitting with Differential Evolution (DE) algorithm. DE algorithm is conducted by randomly generating the control points of the Bezier curve. These generated control points are used to calculate the Bezier curve point. The fitness function of DE algorithm is computed to search for the minimum error. From the experiments, we found that the results of our proposed method achieve the minimum error value significantly.
Keywords :
curve fitting; evolutionary computation; Bezier curve fitting; differential evolution optimization; Curve fitting; Equations; Fitting; Mathematical model; Optimization; Spline; Surface topography; Bezier; Curve Fitting; DE Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualization (CGIV), 2010 Seventh International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-7840-8
Type :
conf
DOI :
10.1109/CGIV.2010.18
Filename :
5576189
Link To Document :
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