Adaptive grey wolf optimizer based on transfer function inertia weight of second-order high-pass filter

This paper proposes an Adaptive Grey Wolf Optimizer based on Transfer function Inertia Weight of Second-order High-pass Filter (SAGWO), aiming to overcome the limitations of Grey Wolf Optimizer (GWO) in terms of convergence speed and solution accuracy. SAGWO enhances the algorithm's dynamic ada...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Jiayu Zhao, Yansong Cui, Jianming Huang, Ronghua Zhu
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Elsevier 2024-11-01
Sarja:Alexandria Engineering Journal
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Linkit:http://www.sciencedirect.com/science/article/pii/S1110016824007890