Abstract
GWO algorithm is a swarm or population-based meta-heuristic technique developed based on motivation from the hunting pattern of the Grey Wolves (GW). In this study, the model was implemented using MATLAB 2020. Thirty (30) search agents were considered and the maximum number of iterations was set to 1000. The best solution, best optimal value and objective function are presented in the study. GWO algorithm is considered useful for solving complex optimization problem.
Cite
CITATION STYLE
Okwu, M. O., & Tartibu, L. K. (2021). Grey Wolf Optimizer. In Studies in Computational Intelligence (Vol. 927, pp. 43–52). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-61111-8_5
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