Comparison of different GAs strategies for near to far-field transformation [antenna characterization]

Author

Perez, J.R. ; Basterrechea, Jose

Author_Institution

Dept. of Commun. Eng., Cantabria Univ., Santander, Spain

Volume

2

fYear

2003

fDate

22-27 June 2003

Firstpage

64

Abstract

The usefulness, differences and limitations of conventional and micro-genetic algorithms, both applied to near field antenna characterization, are presented and discussed in this work. The comparison takes as reference a method based on a set of elemental dipoles used to model the antenna under test, and different genetic algorithms (GAs) based techniques are used. Aspects concerning convergence, computational cost and resulting patterns are considered.

Keywords

antenna radiation patterns; computational electromagnetics; convergence of numerical methods; dipole antennas; genetic algorithms; GA strategies; antenna characterization; antenna patterns; computational cost; convergence; elemental dipoles; micro-genetic algorithms; near-field to far-field transformation; Apertures; Biological cells; Computational efficiency; Convergence; Dipole antennas; Genetic algorithms; Genetic mutations; Stochastic processes; Surface reconstruction; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2003. IEEE

Conference_Location

Columbus, OH, USA

Print_ISBN

0-7803-7846-6

Type

conf

DOI

10.1109/APS.2003.1219180

Filename

1219180