DECEA - Departamento de Ciências Exatas e Aplicadas
URI permanente desta comunidadehttp://www.hml.repositorio.ufop.br/handle/123456789/551
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Item A multi-objective evolutionary algorithm based on decomposition for optimal design of Yagi-Uda antennas.(2012) Carvalho, Rodrigo de; Saldanha, Rodney Rezende; Gomes, B. N.; Lisboa, Adriano Chaves; Alexandre, Xavier MartinsThis 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.