A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions

Abstract Unmanned aerial vehicle (UAV) path planning is a constrained multi-objective optimization problem. With the increasing scale of UAV applications, finding an efficient and safe path in complex real-world environments is crucial. However, existing particle swarm optimization (PSO) algorithms...

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Autors principals:	Yanfei Liu, Hao Zhang, Hao Zheng, Qi Li, Qi Tian
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-01-01
Col·lecció:	Scientific Reports
Matèries:	Particle swarm optimization UAV path planning Initialization Adaptation Evolutionary programming
Accés en línia:	https://doi.org/10.1038/s41598-025-85912-4
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