Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies

Unmanned Aerial Vehicles (UAVs) consistently encounter complex operational environments during task execution. To enhance UAV adaptability in such environments, improve rapid and efficient path planning capabilities, and reduce operational costs, this paper proposes a 3D UAV path planning algorithm...

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Vydané v:	Scientific reports Ročník 15; číslo 1; s. 26979 - 24
Hlavní autori:	Mu, Lixin, Liu, Wenhui, Wang, Haocheng, Zhang, Yu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 24.07.2025 Nature Publishing Group Nature Portfolio
Predmet:	639/166/984 639/705/117 Accuracy Adaptability Algorithms Aviation Chaotic mapping Convergence Dwarf mongoose algorithm Exploitation Females Flight Foraging behavior Golden sine Humanities and Social Sciences Inverse learning multidisciplinary Nonlinear weights Optimization algorithms Performance evaluation Science Science (multidisciplinary) UAV path planning Unmanned aerial vehicles UAV path planning Chaotic mapping Dwarf mongoose algorithm Golden sine Nonlinear weights Inverse learning Differential mutation
ISSN:	2045-2322, 2045-2322
On-line prístup:	Získať plný text
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