Enhanced artificial hummingbird algorithm with chaotic traversal flight

Abstract Tackling the shortcomings of slow convergence, imprecision, and entrapment in local optima inherent in traditional meta-heuristic algorithms, this study presents the enhanced artificial hummingbird algorithm with chaotic traversal flight (CEAHA), which employs chaotic ergodicity within the...

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Auteurs principaux:	Juan Du, Jilong Zhang, Shouliang Li, Zhen Yang
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2024-10-01
Collection:	Scientific Reports
Sujets:	Meta-heuristic optimization Chaos Artificial hummingbird algorithm Mechanical design optimization
Accès en ligne:	https://doi.org/10.1038/s41598-024-77115-0
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