Hunter–Prey Optimization Algorithm: a review

• Published in: Journal of Electrical Systems and Information Technology Vol. 11; no. 1; pp. 19 - 27
• Main Authors: Lahari, Pappu Soundarya, Janamala, Varaprasad
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-12-2024; Springer Nature B.V; SpringerOpen
• Subjects: Algorithms; Artificial Intelligence; Birds; Classification; Electrical Engineering; Electrical Machines and Networks; Engineering; Foraging behavior; Genetic algorithms; Heuristic; Hunter–Prey Optimization; Improved Hunter–Prey Optimization; Information Systems and Communication Service; Integer programming; Linear programming; Mechanical Engineering; Optimization; Optimization algorithms; Optimization techniques; Physics; Power Electronics; Review; Improved Hunter–Prey Optimization; Optimization techniques; Hunter–Prey Optimization
• ISSN: 2314-7172
• DOI: 10.1186/s43067-024-00144-2

The Hunter–Prey Optimization Algorithm (HPO) is a nature-inspired optimization technique influenced by the predator–prey relationships observed in nature. Over the years, HPO has gained attention as a promising method for solving complex optimization problems. This review article provides a comprehensive analysis and a bibliographic study of the Hunter–Prey Optimization Algorithm. It explores its origins, underlying principles, applications, strengths, weaknesses, and recent developments in detail. By delving into various facets of HPO, this review aims to shed light on its effectiveness and potential, inspiring the researchers to address real-world optimization challenges.