UAV path planning in mountain areas based on a hybrid parallel compact arithmetic optimization algorithm

Unmanned Aerial Vehicle (UAV) path planning is one of the core components of its entire autonomous control system. The main challenge lies in efficiently obtaining an optimal flight route in complex environments, especially in mountain areas. To address this, we propose a novel version of arithmetic...

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Veröffentlicht in:	Neural computing & applications Jg. 37; H. 27; S. 22353 - 22368
Hauptverfasser:	Wang, Ruo-Bin, Wang, Wei-Feng, Geng, Fang-Dong, Pan, Jeng-Shyang, Chu, Shu-Chuan, Xu, Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.09.2025 Springer Nature B.V
Schlagworte:	Algorithms Arithmetic Artificial Intelligence B spline functions Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Efficiency Flight Heuristic Image Processing and Computer Vision Mathematical analysis Mountainous areas Mountains Optimization Optimization algorithms Path planning Performance evaluation Planning Probability and Statistics in Computer Science S.I.: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications Special Issue on Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications Unmanned aerial vehicles UAV path planning Compact technique Arithmetic optimization algorithm Parallel technique
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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