猎人-猎物优化算法:综述

Pappu Soundarya Lahari, Varaprasad Janamala
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引用次数: 0

摘要

猎人-猎物优化算法(HPO)是一种受自然界中捕食者-猎物关系影响而产生的优化技术。多年来,HPO 作为一种解决复杂优化问题的有前途的方法受到了广泛关注。这篇综述文章对猎人-猎物优化算法进行了全面分析和文献研究。文章详细探讨了该算法的起源、基本原理、应用、优缺点和最新发展。通过深入探讨 HPO 的各个方面,本综述旨在阐明其有效性和潜力,激励研究人员应对现实世界中的优化挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hunter–Prey Optimization Algorithm: a review
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.
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