An accelerated hybrid genetic algorithm for optimization of electromagnetic structures

Author

Jones, D.P. ; Sabet, K.F. ; Jui-Ching Cheng ; Katehi, L.P.B. ; Sarabandi, K. ; Harvey, J.F.

Author_Institution

EMAG Technol., Ann Arbor, MI, USA

Volume

1

fYear

1999

fDate

11-16 July 1999

Firstpage

426

Abstract

This paper presents a novel optimization technique that combines classical and statistical methods in an innovative and efficient way. In specific, an evolutionary genetic algorithm (GA) has been developed that utilizes a local minimization scheme based on the method of conjugate directions. The proposed optimizer has been applied to the design of planar microwave circuits and printed antenna arrays. The advantages of the proposed technique are illustrated by ample numerical results.

Keywords

circuit CAD; electrical engineering computing; genetic algorithms; microstrip antenna arrays; microwave circuits; accelerated hybrid genetic algorithm; classical methods; electromagnetic structures optimization; evolutionary genetic algorithm; local minimization scheme; method of conjugate directions; planar microwave circuit design; printed antenna array design; statistical methods; Acceleration; Antenna accessories; Design optimization; Frequency; Genetic algorithms; Microwave antenna arrays; Microwave circuits; Minimization methods; Optimization methods; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 1999. IEEE

Conference_Location

Orlando, FL, USA

Print_ISBN

0-7803-5639-x

Type

conf

DOI

10.1109/APS.1999.789169

Filename

789169