Recent advances in Grey Wolf Optimizer, its versions and applications: Review

The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm intelligence methods, drawing inspiration from hunting behavior wolf packs. GWO’s appeal lies in its remarkable characteristics: it is parameter-free, derivative-free, conceptually simple, user-friendly, adaptable, flexible, and robust. Its efficacy been demonstrated across a wide range optimization problems diverse domains, including engineering, bioinformatics, biomedical, scheduling planning, business. Given substantial growth effectiveness GWO, essential to conduct recent review provide updated insights. This delves into GWO-related research conducted between 2019 2022, encompassing over 200 articles. It explores GWO terms publications, citations, domains that leverage potential. thoroughly examines latest versions categorizing them based on their contributions. Additionally, highlights primary applications with computer science engineering emerging dominant domains. A critical analysis accomplishments limitations presented, offering valuable Finally, concludes brief summary outlines potential future developments theory applications. Researchers seeking employ problem-solving tool will find this comprehensive immensely beneficial advancing endeavors.