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