A multi-strategy framework for enhancing Harris hawks optimization for global optimization problems

Abstract The standard Harris Hawks Optimization (HHO) algorithm often suffers from premature convergence and stagnation on complex, high-dimensional problems, particularly in wrapper-based feature selection (FS) for medical diagnosis, where costly fitness evaluations demand efficient search strategi...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Safaa Al-Adwan, Salwani Abdullah, Mohammed Alweshah, Sofian Kassaymeh, Aws Al-Qaisi, Maen Takruri, WANDEEP KAUR RATAN SINGH
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-03-01
Colecção:	Scientific Reports
Assuntos:	Harris hawks optimization Global optimization Feature selection Wrapper-based feature selection Metaheuristics Medical diagnosis
Acesso em linha:	https://doi.org/10.1038/s41598-026-45741-5
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!