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

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Abstract

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.

Original languageEnglish
Title of host publicationECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting
EditorsDavid Rivas Lalaleo, Manuel Ignacio Ayala Chauvin
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350338232
DOIs
StatePublished - 2023
Event7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023 - Ambato, Ecuador
Duration: 10 Oct 202313 Oct 2023

Publication series

NameECTM 2023 - 2023 IEEE 7th Ecuador Technical Chapters Meeting

Conference

Conference7th IEEE Ecuador Technical Chapters Meeting, ECTM 2023
Country/TerritoryEcuador
CityAmbato
Period10/10/2313/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Bat Algorithm
  • Firefly Algorithm
  • Harris Hawks Optimization
  • Marine Predators Algorithm
  • metaheuristic algorithm
  • nature inspired
  • Optimization algorithm
  • Particle Swarm Optimization
  • patch antenna
  • Slime Mould Algorithm
  • swarm intelligence

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