🐺 Nature inspired algorithms - Grey Wolf

Grey wolves have strict hierarchies in their packs

alpha: Leaders, Beta = Advisors, enforcers, Delta = hunters, Omega: Followers

When on hunt a coordinated plan to encircle, change and attack is carried out.

This is the inspiration for Grey Wolf Optimization algorithm. Mirjalili et al. (2014) introduced GWO as a population-based optimization algorithm. Each "wolf" represents a candidate solution. It has been used for search methods and training perceptrons and robot path planning.