Application of Grey Wolf Optimization Algorithm: Recent Trends, Issues, and Possible Horizons

Authors : Emmanuel DADA, Stephen JOSEPH, David OYEWOLA, Alaba Ayotunde FADELE, Haruna CHİROMA, Shafi`i Muhammad ABDULHAMİD

Pages : 485-504

Doi:10.35378/gujs.820885

View : 17 | Download : 6

Publication Date : 2022-06-01

Article Type : Review Paper

Abstract :The development of Grey Wolf Optimisation insert ignore into journalissuearticles values(GWO); Algorithm was motivated by the biological behaviours of swarm of wolves hunting for prey. This paper presents recent progress on Grey Wolf Optimization insert ignore into journalissuearticles values(GWO); algorithm, its variants and their applications, issues, and likely prospects. The review revealed that opportunities still exists for development of more robust and stable variants of GWO that will overcome the shortcomings of existing variants. This review has the potential to stimulate researchers in the area of nature-inspired algorithms to further advance the effectiveness of the GWO and its ability to solve problems. Such problems can be real-life, complicated and nonlinear optimization problems in different domain of human endeavour. Suggestions for new research directions that have the capacity to increase the performance of GWO are presented. It is expected that this paper will serve as reading material for beginners whereas experienced researchers can also use it as an article yardstick for further development of GWO algorithms. 
Keywords : Grey wolf optimisation, Single objective gwo, Multi objective gwo, Hybrid gwo