A Novel HGW Optimizer with Enhanced Differential Perturbation for Efficient 3D UAV Path Planning

In general, path planning for unmanned aerial vehicles (UAVs) is modeled as a challenging optimization problem that is critical to ensuring efficient UAV mission execution. The challenge lies in the complexity and uncertainty of flight scenarios, particularly in three-dimensional scenarios. In this...

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Auteurs principaux:	Lei Lv, Hongjuan Liu, Ruofei He, Wei Jia, Wei Sun
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-03-01
Collection:	Drones
Sujets:	UAV path planning gray wolf optimizer differential perturbation hybrid algorithm
Accès en ligne:	https://www.mdpi.com/2504-446X/9/3/212
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