Title :
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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1999. IEEE
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-5639-x
DOI :
10.1109/APS.1999.789169