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

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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 originalInglés
Título de la publicación alojadaECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
EditoresDavid Rivas Lalaleo, Manuel Ignacio Ayala Chauvin
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350338232
DOI
EstadoPublicada - 2023
Evento7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 - Ambato, Ecuador
Duración: 10 oct. 202313 oct. 2023

Serie de la publicación

NombreECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting

Conferencia

Conferencia7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023
País/TerritorioEcuador
CiudadAmbato
Período10/10/2313/10/23

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© 2023 IEEE.

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