TY - GEN
T1 - Dynamic task allocation for formation air-to-ground attack
AU - Zhang, An
AU - Guo, Fengjuan
PY - 2013
Y1 - 2013
N2 - In accordance with the allocation of random arriving tasks, queuing network is proposed and then utilized to establish combat model for air-to-ground attack of formation. With the methodology of Markov Decision Processes (MDP), the paper establishes the dynamic task assignment model under the complete information condition. Allowing for the issue of dynamic task allocation with incomplete information, load threshold and value function sharing mechanism are proposed. Afterwards, two layers Q-learning algorithm is presented in this context to establish the dynamic task allocation model, which aims to achieve the cooperation with in formation and between formations. The simulation result indicates that the model aforementioned can enhance the long-term profit value, as well as avoid omitting the target with bigger income. Furthermore, it sheds light on the study on the dynamic task allocation and combat effectiveness evaluation for air-to-ground attack of formation problem in theory and method.
AB - In accordance with the allocation of random arriving tasks, queuing network is proposed and then utilized to establish combat model for air-to-ground attack of formation. With the methodology of Markov Decision Processes (MDP), the paper establishes the dynamic task assignment model under the complete information condition. Allowing for the issue of dynamic task allocation with incomplete information, load threshold and value function sharing mechanism are proposed. Afterwards, two layers Q-learning algorithm is presented in this context to establish the dynamic task allocation model, which aims to achieve the cooperation with in formation and between formations. The simulation result indicates that the model aforementioned can enhance the long-term profit value, as well as avoid omitting the target with bigger income. Furthermore, it sheds light on the study on the dynamic task allocation and combat effectiveness evaluation for air-to-ground attack of formation problem in theory and method.
KW - Dynamic Task Allocation
KW - Formation
KW - MDP
KW - Q-learning Algorithm
UR - http://www.scopus.com/inward/record.url?scp=84896370982&partnerID=8YFLogxK
U2 - 10.1109/ICACI.2013.6748486
DO - 10.1109/ICACI.2013.6748486
M3 - 会议稿件
AN - SCOPUS:84896370982
SN - 9781467363433
T3 - 2013 6th International Conference on Advanced Computational Intelligence, ICACI 2013 - Proceedings
SP - 119
EP - 123
BT - 2013 6th International Conference on Advanced Computational Intelligence, ICACI 2013 - Proceedings
PB - IEEE Computer Society
T2 - 2013 6th International Conference on Advanced Computational Intelligence, ICACI 2013
Y2 - 19 October 2013 through 21 October 2013
ER -