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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Κύριοι συγγραφείς:	Himanshu Sharma, Krishan Arora, Raghav Mahajan, Syed Immamul Ansarullah, Farhan Amin, Hussain AlSalman
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Nature Portfolio 2024-12-01
Σειρά:	Scientific Reports
Θέματα:	Metaheuristic algorithm Particle swarm optimization Engineering optimization design Feature selection Aquila optimizer Improved Aquila optimizer
Διαθέσιμο Online:	https://doi.org/10.1038/s41598-024-79577-8
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