Chaotic-Based Mountain Gazelle Optimizer for Solving Optimization Problems
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 sea