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

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

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.

Original language	English
Title of host publication	ECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
Editors	David Rivas Lalaleo, Manuel Ignacio Ayala Chauvin
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350338232
DOIs	https://doi.org/10.1109/ETCM58927.2023.10309099
State	Published - 2023
Event	7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 - Ambato, Ecuador Duration: 10 Oct 2023 → 13 Oct 2023

Publication series

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

Conference

Conference	7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023
Country/Territory	Ecuador
City	Ambato
Period	10/10/23 → 13/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

fitness function
optimization algorithm
patch antenna
Slime Mould Algorithm

Access to Document

10.1109/ETCM58927.2023.10309099

Cite this

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. In 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).

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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.",

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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",

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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. in 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).

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

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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.

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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. In Lalaleo DR, Chauvin MIA, editors, 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

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

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Keywords

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