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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13823

Titre: A hybrid whale optimization algorithm with tabu search algorithm for resource allocation in indoor VLC systems
Auteur(s): Yahia, Selma
Meraihi, Yassine
Mirjalili, Seyedali
Taleb, Sylia Mekhmoukh
Refas, Souad
Ramdane-Cherif, Amar
Eldeeb, Hossien B.
Mots-clés: Resource allocation
Tabu search algorithm
Visible light communications
Whale optimization algorithm
Date de publication: 2023
Editeur: Elsevier
Collection/Numéro: Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications (2024);PP. 33 - 45
Résumé: This paper proposes a novel hybrid approach (WOATS) based on the hybridization of Whale Optimization Algorithm (WOA) with Tabu search Algorithm (TS) for solving the resource allocation problem for indoor multi-user downlink VLC systems. The efficiency of the proposed WOATS is validated in several scenarios under different settings, considering the throughput and fairness parameters. The results demonstrated that WOATS provides competitive performance in optimizing resource allocation in indoor VLC systems compared to WOA, TS, Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Arithmetic Optimization Algorithm (AOA), Moth Flame Optimization (MFO), Grey Wolf Optimizer (GWO), and Sine Cosine Algorithm (SCA).
URI/URL: https://www.sciencedirect.com/science/article/abs/pii/B9780323953658000099?via%3Dihub
https://doi.org/10.1016/B978-0-32-395365-8.00009-9
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13823
ISBN: 978-032395365-8
978-032395364-1
Collection(s) :Chapitres D'ouvrages

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