Particle swarm optimization for NURBS curve fitting
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...
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| Format: | Book Section |
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Institute of Electrical and Electronics Engineers
2009
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| _version_ | 1796855180815237120 |
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| author | Setyo Adi, Delint Ira Shamsuddin, Siti Mariyam Ali, Aida |
| author_facet | Setyo Adi, Delint Ira Shamsuddin, Siti Mariyam Ali, Aida |
| author_sort | Setyo Adi, Delint Ira |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T18:24:52Z |
| format | Book Section |
| id | utm.eprints-13039 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:24:52Z |
| publishDate | 2009 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | utm.eprints-130392011-07-14T01:16:54Z http://eprints.utm.my/13039/ Particle swarm optimization for NURBS curve fitting Setyo Adi, Delint Ira Shamsuddin, Siti Mariyam Ali, Aida QA75 Electronic computers. Computer science 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. Institute of Electrical and Electronics Engineers 2009 Book Section PeerReviewed Setyo Adi, Delint Ira and Shamsuddin, Siti Mariyam and Ali, Aida (2009) Particle swarm optimization for NURBS curve fitting. In: Proceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009. Institute of Electrical and Electronics Engineers, New York, 259 -263. ISBN 978-076953789-4 http://dx.doi.org/10.1109/CGIV.2009.64 doi:10.1109/CGIV.2009.64 |
| spellingShingle | QA75 Electronic computers. Computer science Setyo Adi, Delint Ira Shamsuddin, Siti Mariyam Ali, Aida Particle swarm optimization for NURBS curve fitting |
| title | Particle swarm optimization for NURBS curve fitting |
| title_full | Particle swarm optimization for NURBS curve fitting |
| title_fullStr | Particle swarm optimization for NURBS curve fitting |
| title_full_unstemmed | Particle swarm optimization for NURBS curve fitting |
| title_short | Particle swarm optimization for NURBS curve fitting |
| title_sort | particle swarm optimization for nurbs curve fitting |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT setyoadidelintira particleswarmoptimizationfornurbscurvefitting AT shamsuddinsitimariyam particleswarmoptimizationfornurbscurvefitting AT aliaida particleswarmoptimizationfornurbscurvefitting |