Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review

• Published in: IEEE access Vol. 12; pp. 22991 - 23028
• Main Authors: Makhadmeh, Sharif Naser, Al-Betar, Mohammed Azmi, Doush, Iyad Abu, Awadallah, Mohammed A., Kassaymeh, Sofian, Mirjalili, Seyedali, Zitar, Raed Abu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; Bioinformatics; Biomedical engineering; Classification algorithms; Computer Science; COVID-19; Evolutionary computation; Grey Wolf Optimizer; Mathematical models; Optimization; Particle swarm optimization; Search problems; Swarm intelligence; Evolutionary Computation; Grey wolf Optimizer; Optimization; Swarm Intelligence

The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's appeal lies in its remarkable characteristics: it is parameter-free, derivative-free, conceptually simple, user-friendly, adapt...