DocumentCode :
2313321
Title :
Genetic algorithm optimization for small antenna design
Author :
Schamberger, Mark ; Navsariwala, Umesh
Author_Institution :
Motorola Inc., Schaumburg
fYear :
2007
fDate :
9-15 June 2007
Firstpage :
2217
Lastpage :
2220
Abstract :
Small antenna design is a complex balance of trade-offs imposed by geometry, volume, manufacturability, materials, and the operating environment. Experience and intuition are essential in the antenna design process, however, once design complexity reaches a certain level, the use of design optimization tools becomes extremely valuable if not a necessity. This paper demonstrates the use of genetic algorithm optimization applied to a proprietary field solver interfaced with a commercial CAD system.
Keywords :
antennas; genetic algorithms; antenna design process; commercial CAD system; design complexity; design optimization tools; genetic algorithm optimization; proprietary field solver; small antenna design; Algorithm design and analysis; Design automation; Design optimization; Genetic algorithms; Geometry; Mathematical model; Mesh generation; Robustness; Slot antennas; US Department of Energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2007 IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-0877-1
Electronic_ISBN :
978-1-4244-0878-8
Type :
conf
DOI :
10.1109/APS.2007.4395970
Filename :
4395970
Link To Document :
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