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Adegboye OR, Feda AK, Ishaya MM, Agyekum EB, Kim KC, Mbasso WF, Kamel S. Antenna S-parameter optimization based on golden sine mechanism based honey badger algorithm with tent chaos. Heliyon 2023; 9:e21596. [PMID: 38034692 PMCID: PMC10682539 DOI: 10.1016/j.heliyon.2023.e21596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 10/22/2023] [Accepted: 10/24/2023] [Indexed: 12/02/2023] Open
Abstract
This work proposed a new method to optimize the antenna S-parameter using a Golden Sine mechanism-based Honey Badger Algorithm that employs Tent chaos (GST-HBA). The Honey Badger Algorithm (HBA) is a promising optimization method that similar to other metaheuristic algorithms, is prone to premature convergence and lacks diversity in the population. The Honey Badger Algorithm is inspired by the behavior of honey badgers who use their sense of smell and honeyguide birds to move toward the honeycomb. Our proposed approach aims to improve the performance of HBA and enhance the accuracy of the optimization process for antenna S-parameter optimization. The approach we propose in this study leverages the strengths of both tent chaos and the golden sine mechanism to achieve fast convergence, population diversity, and a good tradeoff between exploitation and exploration. We begin by testing our approach on 20 standard benchmark functions, and then we apply it to a test suite of 8 S-parameter functions. We perform tests comparing the outcomes to those of other optimization algorithms, the result shows that the suggested algorithm is superior.
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Affiliation(s)
| | - Afi Kekeli Feda
- Management Information System Department, European University of Lefke, Mersin, 10, Turkey
| | - Meshack Magaji Ishaya
- Electrical and Electronics Engineering Department, Cyprus International University, Mersin, 10, Turkey
| | - Ephraim Bonah Agyekum
- Department of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia Boris, 19 Mira Street, Yeltsin, Ekaterinburg, 620002, Russia
| | - Ki-Chai Kim
- Department of Electrical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea
| | - Wulfran Fendzi Mbasso
- Laboratory of Technology and Applied Sciences, University Institute of Technology, University of Douala, PO Box: 8698, Douala, Cameroon
| | - Salah Kamel
- Electrical Engineering Department, Faculty of Engineering, Aswan University, 81542, Aswan, Egypt
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Abed-alguni BH, Paul D, Hammad R. Improved Salp swarm algorithm for solving single-objective continuous optimization problems. APPL INTELL 2022. [DOI: 10.1007/s10489-022-03269-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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