Research on Cooperative Target Assignment Decision of Aircraft

Weapon target assignment is one of the core issues of command decision-making. Seeking a target assignment decision can save firepower resources and improve combat capabilities. Aiming at the problems of a slow solution of weapon target assignment problem, low attack efficiency ratio, and insufficient application scenarios, an improved Hungary algorithm and Monte Carlo Tree Search algorithm are proposed. First, collaborative target assignment optimization models were established, and the models have adjusted accordingly for different algorithms. Secondly, for different confrontation scenarios, virtual firepower units were set to improve the Hungary algorithm; and then aiming at the problem of fire resource waste in the Monte Carlo Tree Search algorithm, design the constraints of the weapon requirement, and get the search method with the shortest search time and the highest attack efficiency ratio. Finally, in different scale confrontation scenarios, several algorithms are compared and tested to verify the use of MCTS _ WR algorithm can optimize the assignment of fire resources, greatly improve the attack efficiency ratio of the target, and save the assignment time and its flexibility to adapt to confrontation scenarios.