Advances in Mountain Gazelle Optimizer: A Comprehensive Study on its Classification and Applications

Abstract The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed behavior. It is intended to solve complex optimization problems with an effective balance of exploration and exploitation. The MGO...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Ferzat Anka, Farhad Soleimanian Gharehchopogh, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2025-10-01
coleção:	International Journal of Computational Intelligence Systems
Assuntos:	Mountain gazelle optimizer Metaheuristic algorithm Classification Hybrid methods Improved performance
Acesso em linha:	https://doi.org/10.1007/s44196-025-00968-4
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!