Antenna optimization by using NEWUOA

Weixin Zhao, Arijit De, Daniel García Doñoro, Yu Zhang, Tapan K. Sarkar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2009 IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, APSURSI 2009
DOIs
StatePublished - 2009
Event2009 IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, APSURSI 2009 - North Charleston, SC, United States
Duration: Jun 1 2009Jun 5 2009

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)1522-3965

Other

Other2009 IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, APSURSI 2009
CountryUnited States
CityNorth Charleston, SC
Period6/1/096/5/09

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Antenna optimization by using NEWUOA'. Together they form a unique fingerprint.

Cite this