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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.

Authors

Falih M. Alnahwi

I. A. Yasir

Dunia Sattar

Ramzy S. Ali

Raed A. Abd-Alhameed



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
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

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