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

Telecommunications and Telematics Research Group (GITEL)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023
Editors	Juan Pablo Salgado-Guerrero, Hector Rene Vega-Carrillo, Gonzalo García-Fernández, Vladimir Robles-Bykbaev
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	308-316
Number of pages	9
ISBN (Print)	9783031520891
DOIs	https://doi.org/10.1007/978-3-031-52090-7_29
State	Published - 2024
Event	8th International Conference on Science, Technology and Innovation for Society, CITIS 2023 - Guayaquil, Ecuador Duration: 26 Jul 2023 → 28 Jul 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	871 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	8th International Conference on Science, Technology and Innovation for Society, CITIS 2023
Country/Territory	Ecuador
City	Guayaquil
Period	26/07/23 → 28/07/23

Bibliographical note

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

Keywords

fitness function
Marine Predator Algorithm
optimization algorithm
Particle Swarm Optimization
patch antenna

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

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. In 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).

@inproceedings{dc5c6adeb3cc46c2bdd55245756ac414,

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.",

keywords = "fitness function, Marine Predator Algorithm, optimization algorithm, Particle Swarm Optimization, patch antenna",

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",

year = "2024",

doi = "10.1007/978-3-031-52090-7_29",

language = "English",

isbn = "9783031520891",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "308--316",

editor = "Salgado-Guerrero, {Juan Pablo} and Vega-Carrillo, {Hector Rene} and Gonzalo Garc{\'i}a-Fern{\'a}ndez and Vladimir Robles-Bykbaev",

booktitle = "Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023",

address = "Germany",

}

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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Marine Predator Algorithm

T2 - 8th International Conference on Science, Technology and Innovation for Society, CITIS 2023

AU - Naranjo-Mora, Lizbeth M.

AU - Ochoa-Siavichay, Alex C.

AU - Guerrero-Vásquez, Luis F.

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

Y1 - 2024

N2 - 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.

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.

KW - fitness function

KW - Marine Predator Algorithm

KW - optimization algorithm

KW - Particle Swarm Optimization

KW - patch antenna

UR - http://www.scopus.com/inward/record.url?scp=85188793810&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-52090-7_29

DO - 10.1007/978-3-031-52090-7_29

M3 - Conference contribution

AN - SCOPUS:85188793810

SN - 9783031520891

T3 - Lecture Notes in Networks and Systems

SP - 308

EP - 316

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

A2 - Salgado-Guerrero, Juan Pablo

A2 - Vega-Carrillo, Hector Rene

A2 - García-Fernández, Gonzalo

A2 - Robles-Bykbaev, Vladimir

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 26 July 2023 through 28 July 2023

ER -

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. In Salgado-Guerrero JP, Vega-Carrillo HR, García-Fernández G, Robles-Bykbaev V, editors, 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