A novel Deep Learning Scheme for Cooperative Task Allocation of Large-scale UAVs

Task allocation of large-scale unmanned aircraft vehicles (UAVs) is an important guarantee for UAVs to complete scheduled missions. In this study, a knowledge-based fast task allocation method is proposed for large-scale UAVs cooperative task allocation problem. Firstly, according to the multi-UAVs mission requirement, the large-scale UAVs task allocation mathematical model is established. Secondly, A knowledge-based fast cooperative task allocation (KB-FCTA) method utilizing deep learning method is presented and the database for KB-FCTA is obtained by discrete particle-GuoTao-simulated annealing (DPSO-GT-SA) algorithm. Finally, the proposed method is evaluated through 10-cross-validation method and simulation results show the rapidity and effectiveness of proposed algorithm.