DocumentCode :
418744
Title :
Near to far-field transformation using GA based optimization: real versus binary encoding schemes
Author :
Pérez, J.R. ; Basterrechea, J.
Author_Institution :
Dept. of Commun. Eng., ETSIIT Univ. of Cantabria, Santander, Spain
Volume :
1
fYear :
2004
fDate :
20-25 June 2004
Firstpage :
1122
Abstract :
A genetic algorithm (GA) based approach useful for predicting the far-field radiation of an antenna from synthetic near-field data is analyzed. Two different GA, using real and binary encoding were used and the most significant differences and limitations of each one are outlined. The drawbacks of the real-valued GA when handling with medium size antennas along with theoretical far-field results are also included.
Keywords :
antenna radiation patterns; antenna testing; binary codes; genetic algorithms; GA based optimization; binary encoding; far-field antenna radiation; genetic algorithm; medium size antennas; near to far-field transformation; real encoding; Antenna measurements; Aperture antennas; Convergence; Electric variables measurement; Electromagnetic compatibility; Encoding; Genetic algorithms; Magnetic field measurement; Surface fitting; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2004. IEEE
Print_ISBN :
0-7803-8302-8
Type :
conf
DOI :
10.1109/APS.2004.1329872
Filename :
1329872
Link To Document :
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