Sadiq, A.S. ORCID: 0000-0002-5746-0257, Dehkordi, A.A., 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
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 | ||||||||
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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: |
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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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