DocumentCode
2059005
Title
Particle Swarm Optimization for NURBS Curve Fitting
Author
Adi, Delint Ira Setyo ; Shamsuddin, Siti Mariyam ; Ali, Aida
Author_Institution
Soft Comput. Res. Group, Univ. Teknol. Malaysia, Johor Bahru, Malaysia
fYear
2009
fDate
11-14 Aug. 2009
Firstpage
259
Lastpage
263
Abstract
This paper discusses an alternative solution for curve fitting based on particle swarm optimization (PSO). The implementation of this method is conducted by generating randomly weight and control points of the NURBS curve. The weight and generated control points are used to calculate the NURBS point. The results are compared with the example data points to find the minimum error. The implementation results have shown that the proposed method yield better solution compared to the conventional methods with minimum error generated.
Keywords
curve fitting; particle swarm optimisation; NURBS curve fitting; PSO algorithm; particle swarm optimization; Computational modeling; Curve fitting; Genetic algorithms; Particle swarm optimization; Simulated annealing; Spline; Surface fitting; Surface reconstruction; Surface topography; Weight control; Curve Fitting; NURBS; PSO algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics, Imaging and Visualization, 2009. CGIV '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3789-4
Type
conf
DOI
10.1109/CGIV.2009.64
Filename
5298874
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