Various antenna design problems are discrete-valued. To address these problems, binary-coded algorithms suited for combinatorial optimization problems are required. Grey Wolf Optimizer (GWO) is a recently proposed evolutionary algorithm based on grey wolves' behavior. Although GWO was originally designed for real-valued problems, discrete versions also exist. In this paper, we apply a binary GWO algorithm (bGWO) for arbitrary-shaped dual-band patch antenna design. Computational results demonstrate that bGWO is quite efficient and can be further applied to discrete valued problems in electromagnetics.
Dualband Patch Antenna Design Using Binary Grey Wolf Optimizer / Goudos, Sotirios K.; Boursianis, Achilles; Salucci, Marco; Rocca, Paolo. - STAMPA. - (2020), pp. 1777-1778. (Intervento presentato al convegno 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting tenutosi a Toronto, ON, Canada (virtual conference) nel 5th-10th July 2020) [10.1109/IEEECONF35879.2020.9330100].
Dualband Patch Antenna Design Using Binary Grey Wolf Optimizer
Salucci, Marco;Rocca, Paolo
2020-01-01
Abstract
Various antenna design problems are discrete-valued. To address these problems, binary-coded algorithms suited for combinatorial optimization problems are required. Grey Wolf Optimizer (GWO) is a recently proposed evolutionary algorithm based on grey wolves' behavior. Although GWO was originally designed for real-valued problems, discrete versions also exist. In this paper, we apply a binary GWO algorithm (bGWO) for arbitrary-shaped dual-band patch antenna design. Computational results demonstrate that bGWO is quite efficient and can be further applied to discrete valued problems in electromagnetics.File | Dimensione | Formato | |
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