Rectangular Patch Antenna Optimization using Metaheuristic Algorithms of Swarm Intelligence: A Comparative Study

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Resumen

This article presents a comparative study of six nature-inspired metaheuristic algorithms based on swarm intelligence for solving a specific optimization problem in the design of a rectangular patch antenna for resonance generation at a frequency of 2.4GHz. The algorithms used were: Bat Algorithm, Firefly Algorithm, Harris Hawks Optimization, Marine Predators Algorithm, Particle Swarm Optimization, and Slime Mould Algorithm. Results show that all algorithms can be useful for solving the optimization problem, however, there are considerable differences in terms of error in the fitness function, obtained gain, and convergence time. The selection of the best algorithm will depend on the priorities when formulating the optimization problem.

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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