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

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