Skip Nav Destination
ASME Press Select Proceedings
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
By
ISBN:
9780791859902
No. of Pages:
1400
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
216 NURBS Reparameterization with Particle Swarm Optimization
By
Delint Ira Setyo Adi
,
Delint Ira Setyo Adi
Soft Computing Research Group,
Universiti Teknologi Malaysia
, Skudai, Johor Bahru
, Malaysia
; [email protected]
Search for other works by this author on:
S. M. Shamsuddin
,
S. M. Shamsuddin
Soft Computing Research Group,
Universiti Teknologi Malaysia
, Skudai, Johor Bahru
, Malaysia
; [email protected]
Search for other works by this author on:
Norazwin Buang
,
Norazwin Buang
Faculty of Information Science and Technology,
Universiti Kebangsaan Malaysia
, Bangi, Selangor
, Malaysia
; [email protected]
Search for other works by this author on:
Riza Sulaiman
Riza Sulaiman
Faculty of Information Science and Technology,
Universiti Kebangsaan Malaysia
, Bangi, Selangor
, Malaysia
; [email protected]
Search for other works by this author on:
Page Count:
4
-
Published:2011
Citation
Adi, DIS, Shamsuddin, SM, Buang, N, & Sulaiman, R. "NURBS Reparameterization with Particle Swarm Optimization." International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011). Ed. Ming, C. ASME Press, 2011.
Download citation file:
This paper presents parameter optimization of NURBS curve using particle swarm optimization (PSO). The experiment is conducted to minimize the number of control points while preserving the shape of the curve. PSO is applied to adjust and optimize the weights according to its parameter. Results show that the optimal parameter similar to the interpolated curve can be obtained for approximated curve.
Topics:
Particle swarm optimization
Abstract
Keywords:
Introduction
Non Uniform Rational Bspline (NURBS)
Reparameterization
Particle Swarm Optimization (PSO)
Methodology of the Proposed Method
Experiment Results
Conclusion
Acknowledgments
References
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
Convergence Criteria 2: N -D Applications
Engineering Optimization: Applications, Methods, and Analysis
The Application of the PSO Based Bp Network in Short-Term Load Forecasting
International Conference on Electronics, Information and Communication Engineering (EICE 2012)
Minimizing Assembly Variation in Selective Assembly by Using Particle Swarm Optimization
International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)
Obstacle Avoidance Control of Redundant Robots Using Particle Swarm Optimization
International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)
Related Articles
A
Tree-Shaped Support Structure for Additive Manufacturing Generated by Using a Hybrid of Particle Swarm Optimization and Greedy Algorithm
J. Comput. Inf. Sci. Eng (December,2019)
An Approach for Identifying Dynamic Parameters in Robotic Systems With Inconsistent Joint Measurements
J. Dyn. Sys., Meas., Control (January,2025)
Parameter Identification of Ship Maneuvering Model Based on Support Vector Machines and Particle Swarm Optimization
J. Offshore Mech. Arct. Eng (June,2016)
