Yahia, SelmaMeraihi, YassineMirjalili, SeyedaliTaleb, Sylia MekhmoukhRefas, SouadRamdane-Cherif, AmarEldeeb, Hossien B.2024-04-212024-04-212023978-032395365-8978-032395364-1https://www.sciencedirect.com/science/article/abs/pii/B9780323953658000099?via%3Dihubhttps://doi.org/10.1016/B978-0-32-395365-8.00009-9https://dspace.univ-boumerdes.dz/handle/123456789/13823This 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).enResource allocationTabu search algorithmVisible light communicationsWhale optimization algorithmBook chapter