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FDTD genetic algorithm for antenna optimization
Author(s) -
Eclercy D.,
Reineix A.,
Jecko B.
Publication year - 1997
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/(sici)1098-2760(19971005)16:2<72::aid-mop4>3.0.co;2-f
Subject(s) - finite difference time domain method , genetic algorithm , microwave , microstrip antenna , antenna (radio) , code (set theory) , computer science , artificial neural network , microstrip , algorithm , coupling (piping) , electronic engineering , engineering , telecommunications , optics , physics , artificial intelligence , mechanical engineering , set (abstract data type) , machine learning , programming language
An original theoretical approach for antenna optimization and design is introduced in this paper. This method consists of coupling between the FDTD method applied to the study of microstrip patch antennas and the genetic algorithm (GA) as an optimization tool. A neural network allows the computing time to be deceased by acting as a database, thus avoiding multiple calls to the FDTD code. The principle of this approach is illustrated. © 1997 John Wiley & Sons, Inc. Microwave Opt Technol Lett 16: 72–74, 1997.