Improved Discrete Grey Wolf Optimizer

Grey wolf optimizer (GWO) is a bioinspired iterative optimization algorithm which simulates the hunting process of a wolf pack guided by three leaders. In this paper, a novel discrete GWO is proposed: a random leader selection is performed, and the probability for the main leader to be selected increases at the detriment of the other leaders across iterations. The proposed discrete GWO is compared to another discrete version of GWO, using standard test functions.