Nonlinear marine predator algorithm: a cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks

Sadiq, AS ORCID: https://orcid.org/0000-0002-5746-0257, Dehkordi, AA, Mirjalili, S and Pham, Q-V, 2022. Nonlinear marine predator algorithm: a cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks. Expert Systems with Applications, 203: 117395. ISSN 0957-4174

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Abstract

This paper is an influential attempt to identify and alleviate some of the issues with the recently proposed optimization technique called the Marine Predator Algorithm (MPA). With a visual investigation of its exploratory and exploitative behavior, it is observed that the transition of search from being global to local can be further improved. As an extremely cost-effective method, a set of nonlinear functions is used to change the search patterns of the MPA algorithm. The proposed algorithm, called Nonlinear Marin Predator Algorithm (NMPA), is tested on a set of benchmark functions. A comprehensive comparative study shows the superiority of the proposed method compared to the original MPA and even other recent meta-heuristics. The paper also considers solving a real-world case study around power allocation in non-orthogonal multiple access (NOMA) and visible light communications (VLC) for Beyond 5G (B5G) networks to showcase the applicability of the NMPA algorithm. NMPA algorithm also shows its superiority in solving a wide range of benchmark functions as well as obtaining fair power allocation for multiple users in NOMA-VLC-B5G systems compared with the state-of-the-art algorithms.1

Item Type:	Journal article
Publication Title:	Expert Systems with Applications
Creators:	Sadiq, A.S., Dehkordi, A.A., Mirjalili, S. and Pham, Q.-V.
Publisher:	Elsevier
Date:	October 2022
Volume:	203
ISSN:	0957-4174
Identifiers:	Number Type 10.1016/j.eswa.2022.117395 DOI S0957417422007400 Publisher Item Identifier 1623380 Other
Rights:	© 2022 the authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	29 Nov 2022 13:55
Last Modified:	29 Nov 2022 13:58
URI:	https://irep.ntu.ac.uk/id/eprint/47540

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