A multi-objective evolutionary algorithm based on decomposition for optimal design of Yagi-Uda antennas

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorCarvalho, Rodrigo de-
Autor(es): dc.creatorSaldanha, Rodney Rezende-
Autor(es): dc.creatorGomes, B. N.-
Autor(es): dc.creatorLisboa, Adriano Chaves-
Autor(es): dc.creatorAlexandre, Xavier Martins-
Data de aceite: dc.date.accessioned2019-11-06T13:25:16Z-
Data de disponibilização: dc.date.available2019-11-06T13:25:16Z-
Data de envio: dc.date.issued2012-10-09-
Data de envio: dc.date.issued2012-10-09-
Data de envio: dc.date.issued2012-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/123456789/1585-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/555019-
Descrição: dc.descriptionThis 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.-
Idioma: dc.languageen-
Palavras-chave: dc.subjectMOEA/D-
Palavras-chave: dc.subjectMulti-objective optimization-
Palavras-chave: dc.subjectDecomposition problem-
Palavras-chave: dc.subjectDesigning Yagi-U da antenna-
Título: dc.titleA multi-objective evolutionary algorithm based on decomposition for optimal design of Yagi-Uda antennas-
Aparece nas coleções:Repositório Institucional - UFOP

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