@Article{OliveiraDAssSouzPeix:2016:FaAcTe,
author = "Oliveira, P. S. and D'Assun{\c{c}}{\~a}o, Adaildo G. and Souza,
Eduardo Amorim Martins de and Peixoto, C.",
affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN)} and
{Universidade Federal do Rio Grande do Norte (UFRN)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade de Lisboa}",
title = "A fast and accurate technique for FSS and antenna designs based on
the social spider optimization algorithm",
journal = "Microwave and Optical Technology Letters",
year = "2016",
volume = "58",
number = "8",
pages = "1912--1917",
month = "Aug.",
keywords = "computational intelligence, frequency selective surface, FSS,
spider social optimization, SSO, ultra wideband antenna, UWB
antenna.",
abstract = "This paper presents a fast, accurate, and multifunctional
electromagnetic optimization bioinspired technique that uses the
social spider optimization algorithm (SSO). The proposed technique
is applied to the design of a frequency selective surface (FSS),
with Vicsek fractal patch elements, and an ultra wideband antenna
(UWB), consisting of a ring monopole. In the proposed (synthesis)
technique, the use of a database or the construction of a neural
network is not required. The SSO algorithm communicates via
scripts directly with the Ansoft HFSS software tool, enabling a
good flexibility in the number of parameters to be optimized and
reducing the required computation time. The accuracy and
efficiency of the proposed technique is confirmed by comparison
with experimental results and with other simulation techniques.",
doi = "10.1002/mop.29941",
url = "http://dx.doi.org/10.1002/mop.29941",
issn = "0895-2477",
language = "en",
targetfile = "Oliveira_a fast.pdf",
urlaccessdate = "27 abr. 2024"
}