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

Selma Yahia, Yassine Meraihi, Seyedali Mirjalili, Sylia Mekhmoukh Taleb, Souad Refas, Amar Ramdane-Cherif, Hossien B. Eldeeb

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

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).

Original languageEnglish
Title of host publicationHandbook of Whale Optimization Algorithm
Subtitle of host publicationVariants, Hybrids, Improvements, and Applications
PublisherElsevier
Pages33-45
Number of pages13
ISBN (Electronic)9780323953658
ISBN (Print)9780323953641
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

  • Resource allocation
  • Tabu search algorithm
  • Visible light communications
  • Whale optimization algorithm

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