Optimal Antenna Design With QPSO–QN Optimization Strategy

Author

Ji Bin Liu ; Zhong Xiang Shen ; Yi Long Lu

Author_Institution

Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China

Volume

50

Issue

2

fYear

2014

fDate

Feb. 2014

Firstpage

645

Lastpage

648

Abstract

A new optimization strategy with the ability of global searching and rapid convergence is proposed for optimal antenna design with multiple parameters. The strategy combines the quantum-behaved particle swarm optimization (QPSO) algorithm with the quasi-Newton (QN) method. The QN is employed after QPSO in order to overcome the premature and to achieve a higher accuracy. The method is demonstrated by optimizing a circularly polarized microstrip antenna with five parameters.

Keywords

Newton method; UHF antennas; convergence of numerical methods; design engineering; microstrip antennas; particle swarm optimisation; search problems; QPSO-QN optimization strategy; circularly polarized microstrip antenna; global searching; multiple parameters; optimal antenna design; quantum-behaved particle swarm optimization algorithm; quasiNewton method; rapid convergence; Antenna radiation patterns; Electromagnetics; Microstrip; Microstrip antennas; Optimization; Particle swarm optimization; Design optimization; Newton method; microstrip antennas; particle swarm optimization (PSO);

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2013.2282358

Filename

6749200