Multi-Unmanned Aerial Vehicle Path Planning Based on Improved Nutcracker Optimization Algorithm

For the multi-UAV path planning problem, environmental modeling and an improved swarm intelligence-based optimization algorithm are discussed in this paper. Firstly, to align with reality, specific constraints of UAVs in motions, attitudes and altitudes, real-world threats such as radars and no-fly...

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Vydané v:	Drones (Basel) Ročník 9; číslo 2; s. 116
Hlavní autori:	Xiao, Chang, Yang, Huiliao, Zhang, Bo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.02.2025
Predmet:	Algorithms Convergence Deep learning Energy consumption Environment models Exploitation Fines & penalties improved nutcracker optimization algorithm Mathematical models Mountains multi-UAV Multiple objective analysis Optimization Optimization algorithms Path planning Swarm intelligence Threats Unmanned aerial vehicles
ISSN:	2504-446X, 2504-446X
On-line prístup:	Získať plný text
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