Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

• Published in: Scientific reports Vol. 14; no. 1; pp. 5032 - 50
• Main Authors: Amiri, Mohammad Hussein, Mehrabi Hashjin, Nastaran, Montazeri, Mohsen, Mirjalili, Seyedali, Khodadadi, Nima
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 29.02.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166; 639/705; Algorithms; Exploitation; Hippopotamus; Humanities and Social Sciences; multidisciplinary; Optimization algorithms; Predators; Science; Science (multidisciplinary); Statistical analysis

The novelty of this article lies in introducing a novel stochastic technique named the Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration from the inherent behaviors observed in hippopotamuses, showcasing an innovative approach in metaheuristic methodology. The HO i...