Resumen
This article presents the optimization process of a rectangular patch antenna using nature-inspired optimization algorithms, specifically those based on swarm intelligence. The main contribution of this work lies in the adaptation of Marine Predator Algorithm (MPA) and its comparison with Particle Swarm Optimization (PSO) algorithm for optimization of an antenna designed to resonate at a frequency of 2.4 GHz. Comparison between algorithms was conducted based on error, number of iterations, convergence time, and S11 parameter. Effectiveness of MPA over PSO in this specific optimization problem was demonstrated, achieving superior results with fewer iterations.
Idioma original | Inglés |
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Título de la publicación alojada | Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023 |
Editores | Juan Pablo Salgado-Guerrero, Hector Rene Vega-Carrillo, Gonzalo García-Fernández, Vladimir Robles-Bykbaev |
Editorial | Springer Science and Business Media Deutschland GmbH |
Páginas | 308-316 |
Número de páginas | 9 |
ISBN (versión impresa) | 9783031520891 |
DOI | |
Estado | Publicada - 2024 |
Evento | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2023 - Guayaquil, Ecuador Duración: 26 jul. 2023 → 28 jul. 2023 |
Serie de la publicación
Nombre | Lecture Notes in Networks and Systems |
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Volumen | 871 LNNS |
ISSN (versión impresa) | 2367-3370 |
ISSN (versión digital) | 2367-3389 |
Conferencia
Conferencia | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2023 |
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País/Territorio | Ecuador |
Ciudad | Guayaquil |
Período | 26/07/23 → 28/07/23 |
Nota bibliográfica
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.