A New Optimization Algorithm Based on the Fungi Kingdom Expansion Behavior for Antenna Applications

Alnahwi, Falih M.; Yasir, I. A.; Sattar, Dunia; Ali, Ramzy S.; See, Chan Hwang; Abd-Alhameed, Raed A.

Abstract

This paper presents a new optimization algorithm based on the behavior of the fungi kingdom expansion (FKE) to optimize the radiation pattern of the array antenna. The immobile mass expansion of the fungi is mimicked in this work as a chaotic behavior with a sinusoidal map function, while the mobile mass expansion is realized by a linear function. In addition, the random germination of the spores is utilized for randomly distributing the variables that are far away from the best solution. The proposed FKE algorithm is applied to optimize the radiation pattern of the antenna array, and then its performance is compared with that of some well-known algorithms. The MATLAB simulation results verify the superiority of the proposed algorithm in solving 20-element antenna array problems such as sidelobe reduction with sidelobe ratio (SLR = 25.6 dB), flat-top pattern with SLR = 23.5 dB, rectangular pattern with SLR = 19 dB, and anti-jamming systems. The algorithm also results in a 100% success rate for all of the mentioned antenna array problems.

Citation

Alnahwi, F. M., Yasir, I. A., Sattar, D., Ali, R. S., See, C. H., & Abd-Alhameed, R. A. (2021). A New Optimization Algorithm Based on the Fungi Kingdom Expansion Behavior for Antenna Applications. Electronics, 10(17), Article 2057. https://doi.org/10.3390/electronics10172057

• Journal Article Type: Article
• Acceptance Date: Aug 23, 2021
• Online Publication Date: Aug 26, 2021
• Publication Date: Aug 26, 2021
• Deposit Date: Aug 26, 2021
• Publicly Available Date: Aug 26, 2021
• Journal: Electronics
• Electronic ISSN: 2079-9292
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 10
• Issue: 17
• Article Number: 2057
• DOI: https://doi.org/10.3390/electronics10172057
• Keywords: fungi kingdom; antenna array; array factor; immobile mass; mobile mass
• Public URL: http://researchrepository.napier.ac.uk/Output/2796504