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://www.chiggate.com/jerome-brown-philadelphia-eagles-mitchell-ness-1990-legacy-jersey-discount/