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dc.contributor.authorSadiq, Ali Safaa
dc.contributor.authorDekhordi, Amin Abdollahi
dc.contributor.authorMirjalili, Seyedali
dc.contributor.authorPham, Quoc Viet
dc.date.accessioned2022-04-28T14:34:07Z
dc.date.available2022-04-28T14:34:07Z
dc.date.issued2022-05-11
dc.identifier.citationSadiq, A.S., Dekhordi, 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.en
dc.identifier.issn0957-4174en
dc.identifier.doi10.1016/j.eswa.2022.117395
dc.identifier.urihttp://hdl.handle.net/2436/624730
dc.description© 2022 The Authors. Published by Elsevier. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1016/j.eswa.2022.117395en
dc.description.abstractThis 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 is 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 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.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttps://www.sciencedirect.com/science/article/abs/pii/S0957417422007400en
dc.subjectBeyond-5G networksen
dc.subjectmeta-heuristicen
dc.subjectoptimizationen
dc.subjectnonlinear theoryen
dc.subjectMarin Predator algorithmen
dc.titleNonlinear marine predator algorithm: A cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networksen
dc.typeJournal articleen
dc.identifier.journalExpert Systems with Applicationsen
dc.date.updated2022-04-25T21:31:04Z
dc.identifier.articlenumber117395
dc.date.accepted2022-04-25
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW28042022ASen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2023-05-11en
dc.source.volume203
refterms.dateFCD2022-04-28T14:33:37Z
refterms.versionFCDVoR
refterms.dateFOA2022-05-11T00:00:00Z


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