Abstract
This article presents the optimization process of a rectangular patch antenna using nature-inspired optimization algorithms, specifically those based on swarm intelligence. The main contribution of this work lies in the adaptation of Marine Predator Algorithm (MPA) and its comparison with Particle Swarm Optimization (PSO) algorithm for optimization of an antenna designed to resonate at a frequency of 2.4 GHz. Comparison between algorithms was conducted based on error, number of iterations, convergence time, and S11 parameter. Effectiveness of MPA over PSO in this specific optimization problem was demonstrated, achieving superior results with fewer iterations.
Original language | English |
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Title of host publication | Systems, Smart Technologies and Innovation for Society - Proceedings of CITIS 2023 |
Editors | Juan Pablo Salgado-Guerrero, Hector Rene Vega-Carrillo, Gonzalo García-Fernández, Vladimir Robles-Bykbaev |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 308-316 |
Number of pages | 9 |
ISBN (Print) | 9783031520891 |
DOIs | |
State | Published - 2024 |
Event | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2023 - Guayaquil, Ecuador Duration: 26 Jul 2023 → 28 Jul 2023 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 871 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2023 |
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Country/Territory | Ecuador |
City | Guayaquil |
Period | 26/07/23 → 28/07/23 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keywords
- fitness function
- Marine Predator Algorithm
- optimization algorithm
- Particle Swarm Optimization
- patch antenna