Multi-UAV Mission Planning for Monitoring Critical Infrastructures Considering Failures and Cyberattacks

2021 ◽  
Vol 49 ◽  
Author(s):  
Vyacheslav Kharchenko ◽  
Ihor Kliushnikov ◽  
Herman Fesenko ◽  
Oleg Illiashenko
Keyword(s):  
Mission Planning ◽  
Critical Infrastructures ◽  
Multi Uav

Dynamic Discrete Pigeon-inspired Optimization for Multi-UAV Cooperative Search-attack Mission Planning

2020 ◽  
pp. 1-1
Author(s):  
Haibin Duan ◽  
Jianxia Zhao ◽  
Yimin Deng ◽  
Yuhui Shi ◽  
Xilun Ding
Keyword(s):  
Mission Planning ◽  
Cooperative Search ◽  
Multi Uav

scholarly journals Mission Planning for Unmanned Aerial Vehicles Based on Voronoi Diagram-Tabu Genetic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wei Tan ◽  
Yong-jiang Hu ◽  
Yue-fei Zhao ◽  
Wen-guang Li ◽  
Xiao-meng Zhang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Unmanned Aerial Vehicles ◽  
Voronoi Diagram ◽  
Pso Algorithm ◽  
Mission Planning ◽  
Cooperative System ◽  
Aerial Vehicles ◽  
Rendezvous Problem ◽  
Aerial Vehicle ◽  
Multi Uav

Unmanned aerial vehicles (UAVs) are increasingly used in different military missions. In this paper, we focus on the autonomous mission allocation and planning abilities for the UAV systems. Such abilities enable adaptation to more complex and dynamic mission environments. We first examine the mission planning of a single unmanned aerial vehicle. Based on that, we then investigate the multi-UAV cooperative system under the mission background of cooperative target destruction and show that it is a many-to-one rendezvous problem. A heterogeneous UAV cooperative mission planning model is then proposed where the mission background is generated based on the Voronoi diagram. We then adopt the tabu genetic algorithm (TGA) to obtain multi-UAV mission planning. The simulation results show that the single-UAV and multi-UAV mission planning can be effectively realized by the Voronoi diagram-TGA (V-TGA). It is also shown that the proposed algorithm improves the performance by 3% in comparison with the Voronoi diagram-particle swarm optimization (V-PSO) algorithm.

Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms

2016 ◽  
Vol 21 (17) ◽  
pp. 4883-4900 ◽  
Author(s):  
Cristian Ramirez-Atencia ◽  
Gema Bello-Orgaz ◽  
María D. R-Moreno ◽  
David Camacho
Keyword(s):  
Genetic Algorithms ◽  
Mission Planning ◽  
Multi Objective ◽  
Planning Problems ◽  
Multi Uav
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