Dualband Patch Antenna Design Using Binary Grey Wolf Optimizer. Goudos, S., K., Boursianis, A., Salucci, M., & Rocca, P. In 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, pages 1777-1778, 2020. doi abstract bibtex 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.
@inproceedings{
title = {Dualband Patch Antenna Design Using Binary Grey Wolf Optimizer},
type = {inproceedings},
year = {2020},
keywords = {Patch antennas;Meetings;Dual band;Evolutionary com},
pages = {1777-1778},
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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.},
bibtype = {inproceedings},
author = {Goudos, Sotirios K and Boursianis, Achilles and Salucci, Marco and Rocca, Paolo},
doi = {10.1109/IEEECONF35879.2020.9330100},
booktitle = {2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting}
}
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