A Multi-Objective Evolutionary Algorithm Based on Decomposition for Optimal Design of Yagi-Uda Antennas

Author

Carvalho, R. ; Saldanha, R.R. ; Gomes, B.N. ; Lisboa, A.C. ; Martins, A.X.

Author_Institution

Dept. of Electr. Eng., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil

Volume

48

Issue

2

fYear

2012

Firstpage

803

Lastpage

806

Abstract

This paper presents a multi-objective evolutionary algorithm based on decomposition (MOEA/D) to design broadband optimal Yagi-Uda antennas. A multi-objective problem is formulated to achieve maximum directivity, minimum voltage standing wave ratio and maximum front-to-back ratio. The algorithm was applied to the design of optimal 3 to 10 elements Yagi-Uda antennas, whose optimal Pareto fronts are provided in a single picture. The multi-objective problem is decomposed by Chebyshev decomposition, and it is solved by differential evolution (DE) and Gaussian mutation operators in order to provide a better approximation of the Pareto front. The results show that the implemented MOEA/D is efficient for designing Yagi-Uda antennas.

Keywords

Pareto analysis; Yagi antenna arrays; broadband antennas; Chebyshev decomposition; Gaussian mutation operator; Yagi-Uda antenna optimal design; broadband optimal Yagi-Uda antenna; differential evolution; maximum front-to-back ratio; minimum voltage standing wave ratio; multi-objective evolutionary algorithm; optimal Pareto front; Broadband antennas; Chebyshev approximation; Pareto optimization; Vectors; Yagi-Uda antennas; MOEA/D; decomposition problem; design Yagi-Uda antenna; multi-objective optimization;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2011.2174348

Filename

6136618