Improved aquila optimizer for swarm-based solutions to complex engineering problems

Abstract The traditional optimization approaches suffer from certain problems like getting stuck in local optima, low speed, susceptibility to local optima, and searching unknown search spaces, thus requiring reliance on single-based solutions. Herein, an Improved Aquila Optimizer (IAO) is proposed,...

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Autores principales:	Himanshu Sharma, Krishan Arora, Raghav Mahajan, Syed Immamul Ansarullah, Farhan Amin, Hussain AlSalman
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2024-12-01
Colección:	Scientific Reports
Materias:	Metaheuristic algorithm Particle swarm optimization Engineering optimization design Feature selection Aquila optimizer Improved Aquila optimizer
Acceso en línea:	https://doi.org/10.1038/s41598-024-79577-8
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