Evolutionary Algorithms Applied to Microstrip Antennas Design

Author

Brianeze, J.R. ; Da Silva Santos, Carlos Henrique ; Hernandez-Figueroa, Hugo E.

Author_Institution

Dept. of Microwaves & Opt., State Univ. of Campinas, Campinas

fYear

2007

fDate

11-16 Nov. 2007

Firstpage

1

Lastpage

8

Abstract

This work presents and compares three evolutionary algorithms (EAs), each one from three of the main trends in literature: genetic algorithm (GA), evolutionary programming (EP), and evolutionary strategies (ES). They are validated and applied to optimize microstrip antennas (MSA) design in single and multiobjective approaches. The effect of random numbers with different distributions (Uniform, Gaussian, Cauchy and hybrid Gaussian-Cauchy) used by genetic operators is analysed. A CAD Model based on Cavity Method is used to assess MSAs. Standing wave ratio (SWR), bandwidth (BW), and radiation efficiency (er) are optimized parameters. Average maximum values for fitness are obtained and compared fore each case. Through the multiobjective approach, each EA generates the Pareto Frontier for the problem. Finally, the ability of each algorithm to find dominants individuals is compared, what allows the assessment or their efficiency.

Keywords

CAD; Pareto optimisation; antenna radiation patterns; genetic algorithms; microstrip antennas; CAD Model; Pareto frontier; bandwidth; cavity method; evolutionary algorithms; evolutionary programming; evolutionary strategies; genetic algorithm; microstrip antennas design; multiobjective approach; radiation efficiency; standing wave ratio; Computational Electromagnetism; Computer Simulation; Evolutionary Algorithms; Microstrip Antennas; Multiobjective Optimization;

fLanguage

English

Publisher

iet

Conference_Titel

Antennas and Propagation, 2007. EuCAP 2007. The Second European Conference on

Conference_Location

Edinburgh

Print_ISBN

978-0-86341-842-6

Type

conf

Filename

4458718