UAV formation trajectory planning algorithms: A review
Y Yang, X ** nations face energy crises, in addition to the global warming issue, owing
to the recent increase in oil prices, accordingly, identifying the alternate energy sources. As …
to the recent increase in oil prices, accordingly, identifying the alternate energy sources. As …
Hybrid ant colony and intelligent water drop algorithm for route planning of unmanned aerial vehicles
X Sun, S Pan, N Bao, N Liu - Computers and Electrical Engineering, 2023 - Elsevier
Route planning is a crucial element in unmanned aerial vehicle (UAV) systems, particularly
in autonomous UAV technology. In the past decades, various algorithms have been …
in autonomous UAV technology. In the past decades, various algorithms have been …
Novel reinforcement learning guided enhanced variable weight grey wolf optimization (RLV-GWO) algorithm for multi-UAV path planning
R Kumar, L Singh, R Tiwari - Wireless Personal Communications, 2023 - Springer
The multi agent path planning strategy for unmanned aerial vehicles (UAVs) might play a
crucial role in seeking the most feasible path in 3D environment owning to power limitations …
crucial role in seeking the most feasible path in 3D environment owning to power limitations …
[HTML][HTML] Two-stage heuristic algorithm for vehicle-drone collaborative delivery and pickup based on medical supplies resource allocation
This paper aims to optimize medical material distribution in closed community logistics
networks during sudden outbreaks with a focus on efficient waste collection and reduced …
networks during sudden outbreaks with a focus on efficient waste collection and reduced …
Survey of RPAS autonomous control systems using artificial intelligence
M Aibin, M Aldiab, R Bhavsar, J Lodhra, M Reyes… - IEEE …, 2021 - ieeexplore.ieee.org
In this survey, we look at the overall idea of Remotely Piloted Aircraft Systems (RPAS) and
autonomous control, as well as RPAS infrastructure, levels of autonomy, and current benefits …
autonomous control, as well as RPAS infrastructure, levels of autonomy, and current benefits …
Multi-UAV Path Planning Based on Cooperative Co-Evolutionary Algorithms with Adaptive Decision Variable Selection.
Q Meng, Q Qu, K Chen, T Yi - Drones (2504-446X), 2024 - search.ebscohost.com
When dealing with UAV path planning problems, evolutionary algorithms demonstrate
strong flexibility and global search capabilities. However, as the number of UAVs increases …
strong flexibility and global search capabilities. However, as the number of UAVs increases …
UAV path planning algorithm based on Deep Q-Learning to search for a floating lost target in the ocean
In the context of real world application, Search and Rescue Missions on the ocean surface
remain a complex task due to the large-scale area and the forces of the ocean currents …
remain a complex task due to the large-scale area and the forces of the ocean currents …
Equilibrium optimizer with generalized opposition-based learning for multiple unmanned aerial vehicle path planning
Y Chen, D Pi, B Wang, AW Mohamed, J Chen, Y Wang - Soft Computing, 2024 - Springer
Multiple unmanned aerial vehicle (UAV) path planning is the benchmark problem of multiple
UAV application, which belongs to the non-deterministic polynomial problem. Its objective is …
UAV application, which belongs to the non-deterministic polynomial problem. Its objective is …