Abstract:

In large-scale static weapon-target assignment （WTA）, the realtime capability of its algorithm is bad. The assignment scheme is not suitable for varying battlefield situation. The features of armored unit dynamic weapon-target assignment （DWTA） problem are analyzed. For the maximal solution-utility objective function, terminating control of the algorithm is proposed, which considers three factors, including solution quality, efficiency of the solution quality improvement, and varying model parameters. It also is used in an improved ant colony algorithm. The simulation results reveals that the present best solution can be exported before the battlefield situation changes by using the terminating control. The solution-utility is improved. The iteration is reduced and computation time is shortened.