Slime Mould Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization

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

doi:10.1109/ETCM58927.2023.10309099

Slime Mould Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization

Alex C. Ochoa Siavichay, Lizbeth M. Naranjo Mora, Luis F. Guerrero Vasquez, 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

Resumen

This article presents an optimization process of a rectangular patch antenna using Slime Mould Algorithm (SMA), which is a bio-inspired optimization method based on the behavior of slime molds. Algorithm fitness function was modified to search for optimization in relation to reflection coefficient S₁₁ at a specific resonance frequency of 2.4 GHz. Variables to be optimized are length dimension of the patch, width of the patch, and length of the inserts made on the sides of the feed line. Results demonstrate that SMA can be used as a tool for optimizing rectangular patch antennas, with improved gain results in the antenna characteristics, notably better than the initial or other work presented in the literature.

Idioma original	Inglés
Título de la publicación alojada	ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
Editores	David Rivas Lalaleo, Manuel Ignacio Ayala Chauvin
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9798350338232
DOI	https://doi.org/10.1109/ETCM58927.2023.10309099
Estado	Publicada - 2023
Evento	7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 - Ambato, Ecuador Duración: 10 oct. 2023 → 13 oct. 2023

Serie de la publicación

Nombre	ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting

Conferencia

Conferencia	7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023
País/Territorio	Ecuador
Ciudad	Ambato
Período	10/10/23 → 13/10/23

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.

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10.1109/ETCM58927.2023.10309099

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Ochoa Siavichay, A. C., Naranjo Mora, L. M., Guerrero Vasquez, L. F., Bermeo Moyano, J. P., Ordoñez Ordoñez, J. O., & Chasi Pesantez, P. A. (2023). Slime Mould Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization. En D. R. Lalaleo, & M. I. A. Chauvin (Eds.), ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting (ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETCM58927.2023.10309099

Ochoa Siavichay, Alex C. ; Naranjo Mora, Lizbeth M. ; Guerrero Vasquez, Luis F. et al. / Slime Mould Algorithm : A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization. ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting. editor / David Rivas Lalaleo ; Manuel Ignacio Ayala Chauvin. Institute of Electrical and Electronics Engineers Inc., 2023. (ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting).

@inproceedings{da3f4d69faa44bc3a706558515688e44,

title = "Slime Mould Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization",

abstract = "This article presents an optimization process of a rectangular patch antenna using Slime Mould Algorithm (SMA), which is a bio-inspired optimization method based on the behavior of slime molds. Algorithm fitness function was modified to search for optimization in relation to reflection coefficient S11 at a specific resonance frequency of 2.4 GHz. Variables to be optimized are length dimension of the patch, width of the patch, and length of the inserts made on the sides of the feed line. Results demonstrate that SMA can be used as a tool for optimizing rectangular patch antennas, with improved gain results in the antenna characteristics, notably better than the initial or other work presented in the literature.",

keywords = "fitness function, optimization algorithm, patch antenna, Slime Mould Algorithm",

author = "{Ochoa Siavichay}, {Alex C.} and {Naranjo Mora}, {Lizbeth M.} and {Guerrero Vasquez}, {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} 2023 IEEE.; 7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 ; Conference date: 10-10-2023 Through 13-10-2023",

year = "2023",

doi = "10.1109/ETCM58927.2023.10309099",

language = "English",

series = "ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ochoa Siavichay, AC, Naranjo Mora, LM, Guerrero Vasquez, LF , Bermeo Moyano, JP , Ordoñez Ordoñez, JO & Chasi Pesantez, PA 2023, Slime Mould Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization. En DR Lalaleo & MIA Chauvin (eds.), ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting. ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting, Institute of Electrical and Electronics Engineers Inc., 7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023, Ambato, Ecuador, 10/10/23. https://doi.org/10.1109/ETCM58927.2023.10309099

Slime Mould Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization. / Ochoa Siavichay, Alex C.; Naranjo Mora, Lizbeth M.; Guerrero Vasquez, Luis F. et al.
ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting. ed. / David Rivas Lalaleo; Manuel Ignacio Ayala Chauvin. Institute of Electrical and Electronics Engineers Inc., 2023. (ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting).

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

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T1 - Slime Mould Algorithm

T2 - 7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023

AU - Ochoa Siavichay, Alex C.

AU - Naranjo Mora, Lizbeth M.

AU - Guerrero Vasquez, Luis F.

AU - Bermeo Moyano, Juan P.

AU - Ordoñez Ordoñez, Jorge O.

AU - Chasi Pesantez, Paul A.

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N2 - This article presents an optimization process of a rectangular patch antenna using Slime Mould Algorithm (SMA), which is a bio-inspired optimization method based on the behavior of slime molds. Algorithm fitness function was modified to search for optimization in relation to reflection coefficient S11 at a specific resonance frequency of 2.4 GHz. Variables to be optimized are length dimension of the patch, width of the patch, and length of the inserts made on the sides of the feed line. Results demonstrate that SMA can be used as a tool for optimizing rectangular patch antennas, with improved gain results in the antenna characteristics, notably better than the initial or other work presented in the literature.

AB - This article presents an optimization process of a rectangular patch antenna using Slime Mould Algorithm (SMA), which is a bio-inspired optimization method based on the behavior of slime molds. Algorithm fitness function was modified to search for optimization in relation to reflection coefficient S11 at a specific resonance frequency of 2.4 GHz. Variables to be optimized are length dimension of the patch, width of the patch, and length of the inserts made on the sides of the feed line. Results demonstrate that SMA can be used as a tool for optimizing rectangular patch antennas, with improved gain results in the antenna characteristics, notably better than the initial or other work presented in the literature.

KW - fitness function

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KW - patch antenna

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Ochoa Siavichay AC, Naranjo Mora LM, Guerrero Vasquez LF , Bermeo Moyano JP , Ordoñez Ordoñez JO , Chasi Pesantez PA. Slime Mould Algorithm: A nature-inspired metaheuristic algorithm applied in rectangular patch antennas optimization. En Lalaleo DR, Chauvin MIA, editores, ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting. Institute of Electrical and Electronics Engineers Inc. 2023. (ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting). doi: 10.1109/ETCM58927.2023.10309099