DocumentCode :
1836818
Title :
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
Link To Document :
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