Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/1585
Title: A multi-objective evolutionary algorithm based on decomposition for optimal design of Yagi-Uda antennas.
Authors: Carvalho, Rodrigo de
Saldanha, Rodney Rezende
Gomes, B. N.
Lisboa, Adriano Chaves
Alexandre, Xavier Martins
Keywords: Multi-objective optimization
Decomposition problem
Designing Yagi-U da antenna
Issue Date: 2012
Citation: CARVALHO, R. de et al. A multi-objective evolutionary algorithm based on decomposition for optimal design of Yagi-Uda antennas. IEEE Transactions on Magnetic, v. 48, n.2, p. 803-806, 2012. Disponível em: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6136618>. Acesso em: 10 out. 2012.
Abstract: This paper presents a multi-objective evol utionary 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 th e design of optimal 3 to 10 elements Yagi-Uda antennas, whose optimal Pareto fronts are provided in a single picture. The multi-o bjective problem is decomposed by Chebyshev decomposition, and it is solved by differential evolution (DE) and Gaussian mutation op erators in order to provide a better approximation of the Pareto front. The results show that the implemented MOEA/D is ef fi cient for designing Yagi-Uda antennas.
URI: http://www.repositorio.ufop.br/handle/123456789/1585
metadata.dc.identifier.uri2: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6136618
ISSN: 00189464
Appears in Collections:DECEA - Artigos publicados em periódicos

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