A Method of Policy Automated Generation for Carrier Aircraft Sortie and Recovery Scheduling

作者：Yang, Fang Qing; Wang, Chao^*; Jiang, Bin; Zhang, Xiu Yuan

来源：Transactions of Beijing Institute of Technology, 2018, 38(10): 1030-1036.

DOI：10.15918/j.tbit1001-0645.2018.10.007

• Apprenticeship learning
• Automated generation
• Carrier aircraft
• Markov Decision Processes
• Optimized scheduling
• Robot navigation
• Simulation model

To improve the capability of carrier aircrafts sortie and recovery, a theory of apprenticeship learning, came of the robot navigation and control domain, was applied to automate the process of sortie and recovery scheduling. Firstly, a simulation model of aircrafts sortie and recovery was established based on the frame of Markov decision process. Then, taking an expert's demonstration operation as learning former, an optimized scheduling policy was created with the multiplicative weights apprenticeship learning algorithm. Compared with the optimization results of the two typical research cases in the condition of group sortie and continuous sortie with the expert's demonstration, the algorithm shows a better performance and function.

• 出版日期2018
• 单位哈尔滨工程大学