Abstract:

The manned/unmanned combat Agents task coalition is a new combat mode, which is geared to the needs of the distributed networked operations system. Task allocation is one of the key points in studying the task coalition’s command policy. The distributed system architecture adapted to the task coalition is proposed. The task implement quality is introduced into task allocation modeling. Through the improved mechanism of grouping auction as a whole and scheme predisposition, the formed overhead of a unity scheme is reduced. The method rooted in the auction algorithm can realize the dynamic task allocation of the task coalition within the restraint time. Simulation results based on combat scenarios indicate that the algorithm can present the allocation scheme closed to ideal optimal effect in a limited auction cycle.