A hybrid whale optimization algorithm with tabu search algorithm for resource allocation in indoor VLC systems

dc.contributor.authorYahia, Selma
dc.contributor.authorMeraihi, Yassine
dc.contributor.authorMirjalili, Seyedali
dc.contributor.authorTaleb, Sylia Mekhmoukh
dc.contributor.authorRefas, Souad
dc.contributor.authorRamdane-Cherif, Amar
dc.contributor.authorEldeeb, Hossien B.
dc.date.accessioned2024-04-21T09:23:53Z
dc.date.available2024-04-21T09:23:53Z
dc.date.issued2023
dc.description.abstractThis 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).en_US
dc.identifier.isbn978-032395365-8
dc.identifier.isbn978-032395364-1
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/B9780323953658000099?via%3Dihub
dc.identifier.urihttps://doi.org/10.1016/B978-0-32-395365-8.00009-9
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/13823
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesHandbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications (2024);PP. 33 - 45
dc.subjectResource allocationen_US
dc.subjectTabu search algorithmen_US
dc.subjectVisible light communicationsen_US
dc.subjectWhale optimization algorithmen_US
dc.titleA hybrid whale optimization algorithm with tabu search algorithm for resource allocation in indoor VLC systemsen_US
dc.typeBook chapteren_US

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