Marine Predator Algorithm: A Nature-Inspired Metaheuristic Algorithm Applied in Rectangular Patch Antennas Optimization

Lizbeth M. Naranjo-Mora; Alex C. Ochoa-Siavichay; Luis F. Guerrero-Vásquez; Juan P. Bermeo-Moyano; Jorge O. Ordoñez-Ordoñez; Paul A. Chasi-Pesantez

doi:10.1007/978-3-031-52090-7_29

Marine Predator Algorithm: A Nature-Inspired Metaheuristic Algorithm Applied in Rectangular Patch Antennas Optimization

Lizbeth M. Naranjo-Mora
, Alex C. Ochoa-Siavichay
, Luis F. Guerrero-Vásquez
, Juan P. Bermeo-Moyano
, Jorge O. Ordoñez-Ordoñez
, Paul A. Chasi-Pesantez

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

1 Cita (Scopus)

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
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	https://doi.org/10.1007/978-3-031-52090-7_29
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
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
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.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 14: Vida submarina

Areas de Conocimiento del CACES

8417A Telecomunicaciones

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Naranjo-Mora, L. M., Ochoa-Siavichay, A. C., Guerrero-Vásquez, L. F., Bermeo-Moyano, J. P., Ordoñez-Ordoñez, J. O., & Chasi-Pesantez, P. A. (2024). Marine Predator Algorithm: A Nature-Inspired Metaheuristic Algorithm Applied in Rectangular Patch Antennas Optimization. En J. P. Salgado-Guerrero, H. R. Vega-Carrillo, G. García-Fernández, & V. Robles-Bykbaev (Eds.), Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023 (pp. 308-316). (Lecture Notes in Networks and Systems; Vol. 871 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-52090-7_29

Naranjo-Mora, Lizbeth M. ; Ochoa-Siavichay, Alex C. ; Guerrero-Vásquez, Luis F. et al. / Marine Predator Algorithm : A Nature-Inspired Metaheuristic Algorithm Applied in Rectangular Patch Antennas Optimization. Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023. editor / Juan Pablo Salgado-Guerrero ; Hector Rene Vega-Carrillo ; Gonzalo García-Fernández ; Vladimir Robles-Bykbaev. Springer Science and Business Media Deutschland GmbH, 2024. pp. 308-316 (Lecture Notes in Networks and Systems).

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title = "Marine Predator Algorithm: A Nature-Inspired Metaheuristic Algorithm Applied in Rectangular Patch Antennas Optimization",

abstract = "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.",

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author = "Naranjo-Mora, \{Lizbeth M.\} and Ochoa-Siavichay, \{Alex C.\} and Guerrero-V{\'a}squez, \{Luis F.\} and Bermeo-Moyano, \{Juan P.\} and Ordo{\~n}ez-Ordo{\~n}ez, \{Jorge O.\} and Chasi-Pesantez, \{Paul A.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 8th International Conference on Science, Technology and Innovation for Society, CITIS 2023 ; Conference date: 26-07-2023 Through 28-07-2023",

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Naranjo-Mora, LM, Ochoa-Siavichay, AC, Guerrero-Vásquez, LF, Bermeo-Moyano, JP, Ordoñez-Ordoñez, JO & Chasi-Pesantez, PA 2024, Marine Predator Algorithm: A Nature-Inspired Metaheuristic Algorithm Applied in Rectangular Patch Antennas Optimization. En JP Salgado-Guerrero, HR Vega-Carrillo, G García-Fernández & V Robles-Bykbaev (eds.), Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023. Lecture Notes in Networks and Systems, vol. 871 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 308-316, 8th International Conference on Science, Technology and Innovation for Society, CITIS 2023, Guayaquil, Ecuador, 26/07/23. https://doi.org/10.1007/978-3-031-52090-7_29

Marine Predator Algorithm: A Nature-Inspired Metaheuristic Algorithm Applied in Rectangular Patch Antennas Optimization. / Naranjo-Mora, Lizbeth M.; Ochoa-Siavichay, Alex C.; Guerrero-Vásquez, Luis F. et al.
Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023. ed. / Juan Pablo Salgado-Guerrero; Hector Rene Vega-Carrillo; Gonzalo García-Fernández; Vladimir Robles-Bykbaev. Springer Science and Business Media Deutschland GmbH, 2024. p. 308-316 (Lecture Notes in Networks and Systems; Vol. 871 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AU - Naranjo-Mora, Lizbeth M.

AU - Ochoa-Siavichay, Alex C.

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AU - Bermeo-Moyano, Juan P.

AU - Ordoñez-Ordoñez, Jorge O.

AU - Chasi-Pesantez, Paul A.

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

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AB - 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.

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KW - Marine Predator Algorithm

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SN - 9783031520891

T3 - Lecture Notes in Networks and Systems

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BT - Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023

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A2 - Vega-Carrillo, Hector Rene

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Naranjo-Mora LM, Ochoa-Siavichay AC, Guerrero-Vásquez LF, Bermeo-Moyano JP, Ordoñez-Ordoñez JO , Chasi-Pesantez PA. Marine Predator Algorithm: A Nature-Inspired Metaheuristic Algorithm Applied in Rectangular Patch Antennas Optimization. En Salgado-Guerrero JP, Vega-Carrillo HR, García-Fernández G, Robles-Bykbaev V, editores, Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 308-316. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-52090-7_29