Abstract The Mountain Gazelle Optimizer (MGO) algorithm has become one of the most prominent swarm-inspired meta-heuristic algorithms because of its outstanding rapid convergence and excellent accuracy. However. the MGO still faces premature convergence. making it challenging to leave the local optima if early-best solutions neglect the relevant search domain. https://unitedssports.shop/product-category/basketball-shoes-junior/
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