Hunter–Prey Optimization Algorithm: a review

Abstract

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.