Abstract
This chapter first discusses inspirations, methematicam models, and an in-depth literature of the recently proposed Grey Wolf Optimizer (GWO). Then, several experiments are conducted to analyze and benchmark the performance of different variants and improvements of this algorithm. The chapter also investigates the application of the GWO variants in finding an optimal design for a ship propeller.
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Mirjalili, S., Aljarah, I., Mafarja, M., Heidari, A.A., Faris, H. (2020). Grey Wolf Optimizer: Theory, Literature Review, and Application in Computational Fluid Dynamics Problems. In: Mirjalili, S., Song Dong, J., Lewis, A. (eds) Nature-Inspired Optimizers. Studies in Computational Intelligence, vol 811. Springer, Cham. https://doi.org/10.1007/978-3-030-12127-3_6
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DOI: https://doi.org/10.1007/978-3-030-12127-3_6
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