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...

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Bibliografiska uppgifter
Huvudupphovsmän: Jiayu Zhao, Yansong Cui, Jianming Huang, Ronghua Zhu
Materialtyp: Artikel
Språk:English
Publicerad: Elsevier 2024-11-01
Serie:Alexandria Engineering Journal
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Länkar:http://www.sciencedirect.com/science/article/pii/S1110016824007890