Title :
Antenna optimization by using NEWUOA
Author :
Weixin Zhao ; De, A. ; Donoro, D.G. ; Yu Zhang ; Sarkar, T.K.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
Abstract :
The NEWUOA is a newly developed trust region based derivative-free method for solving unconstrained optimization problems. We present in this paper this powerful tool for antenna optimization. Two antenna design examples are optimized using simplex method, conjugate gradient method and the NEWUOA algorithm. Optimization results are presented and compared. The NEWUOA shows good performance and is proved to be a suitable tool for antenna optimization.
Keywords :
antennas; gradient methods; optimisation; antenna design; antenna optimization; conjugate gradient method; derivative-free method; simplex method; unconstrained optimization problem; Algorithm design and analysis; Antenna arrays; Approximation algorithms; Convergence; Cost function; Design optimization; Dipole antennas; Gradient methods; Optimization methods; Power engineering and energy;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE
Conference_Location :
Charleston, SC
Print_ISBN :
978-1-4244-3647-7
DOI :
10.1109/APS.2009.5171520
