Grey Wolf Optimisation Case Study

Grey Wolf Optimisation (GWO) is a new population-based metaheuristic algorithm based on the ways of living and hunting behavior of wolves []. In this technique, a specific role is defined for every member of group. One of the interesting facts about the life of wolves is their hierarchy structure in the group. In fact, there is a special types of wolf named alphas (β) that are leader, can be a male or female. As leader, the alphas can make decision about hunting, sleeping place and time to wake of other wolves (this decision-making process called pack). The second level in the grey wolves’ hierarchy is beta (β). The betas are those which help alphas to carry out their pack activities and convey group members’ opinions to alphas, so that
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