TY - GEN
T1 - Research of UAVs cooperative tasks assignment model
AU - Pan, Feng
AU - Zhang, Zhe
AU - Zhang, Rui
AU - Long, Ting
PY - 2010
Y1 - 2010
N2 - The multiple Unmanned Combat Aerial Vehicles (UAVs) tasks allocation, studied in the paper, is a complex assignment problem which requires allocating UAVs to targets to complete various tasks. The challenges is not only the potential dimensional explosion when the scenarios become more complicated and the size of problems increases, but also the constraints handling which is a specific characteristic compared with other scheduling or assignment problems. In this paper, A cooperative assignment model for UAVs tasks allocation is proposed and a "separation for sorting" strategy is introduced. The proposed model can effectively deal with various constraints, including the constraints expressed by nature language, and is flexible and effective enough to be combined with kinds of computation intelligence algorithms. Various scenarios with different dimension and non-stationary scenarios are studied by numerical experiments. Results illustrate that it can efficiently achieve the optima and demonstrate the effectiveness.
AB - The multiple Unmanned Combat Aerial Vehicles (UAVs) tasks allocation, studied in the paper, is a complex assignment problem which requires allocating UAVs to targets to complete various tasks. The challenges is not only the potential dimensional explosion when the scenarios become more complicated and the size of problems increases, but also the constraints handling which is a specific characteristic compared with other scheduling or assignment problems. In this paper, A cooperative assignment model for UAVs tasks allocation is proposed and a "separation for sorting" strategy is introduced. The proposed model can effectively deal with various constraints, including the constraints expressed by nature language, and is flexible and effective enough to be combined with kinds of computation intelligence algorithms. Various scenarios with different dimension and non-stationary scenarios are studied by numerical experiments. Results illustrate that it can efficiently achieve the optima and demonstrate the effectiveness.
KW - Computational intelligence algorithm
KW - Multiple Unmanned Combat Aerial Vehicles(UAVs)
KW - Separation for sorting
KW - Task assignment
UR - http://www.scopus.com/inward/record.url?scp=78650237938&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:78650237938
SN - 9787894631046
T3 - Proceedings of the 29th Chinese Control Conference, CCC'10
SP - 1757
EP - 1762
BT - Proceedings of the 29th Chinese Control Conference, CCC'10
T2 - 29th Chinese Control Conference, CCC'10
Y2 - 29 July 2010 through 31 July 2010
ER -