4.5 Article

Chaotic spotted hyena optimizer for numerical problems

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Summary: Metaheuristic algorithms, particularly the Spotted Hyena Optimizer (SHO) algorithm, have shown great effectiveness and success in solving continuous optimization problems. This algorithm, inspired by the life of spotted hyenas, strikes a good balance between exploration and exploitation stages, making it suitable for solving intricate and NP-hard problems across various fields. Its adaptability and flexibility have been demonstrated to surpass those of other metaheuristic algorithms in different studies and investigations.

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