Gravitational Search Algorithm for NURBS Curve Fitting
| Main Authors: | Ülker, Erkan, Babaoğlu, İsmail |
|---|---|
| Format: | Article info application/pdf application/xml Proceeding |
| Bahasa: | eng |
| Terbitan: |
KnE Publishing
, 2018
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| Online Access: |
https://knepublishing.com/index.php/Kne-Social/article/view/1395 https://knepublishing.com/index.php/Kne-Social/article/view/1395/3197 https://knepublishing.com/index.php/Kne-Social/article/view/1395/3209 |
Daftar Isi:
- By providing great flexibility non-uniform rational B-spline (NURBS) curves and surfaces are reason of preferability on areas like computer aided design, medical imaging and computer graphics. Knots, control points and weights provide this flexibility. Computation of these parameters makes the problem as a non-linear combinational optimization problem on a process of reverse engineering. The ability of solving these problems using meta-heuristics instead of conventional methods attracts researchers. In this paper, NURBS curve estimation is carried out by a novel optimization method namely gravitational search algorithm. Both knots and knots together weights simultaneous optimization process is implemented by using research agents. The high performance of the proposed method on NURBS curve fitting is showed by obtained results.Keywords: Non-uniform rational B-spline, gravitational search algorithm, meta-heuristic