Air combat manoeuvre strategy algorithm based on two-layer game decision-making and the distributed MCTS method with double game trees
Qiuni Li, Fawei Wang, Zongcheng Liu, Yuqin Li · Systems Science & Control Engineering · 2022
In view of the huge strategy space and high real-time requirement for multi-fighter air combat maneouvre decisions, the target allocation and the manoeuvre decision model are established, respectively and the air combat strategy solving algorithm is proposed based on two-layer game decision-making and the distributed Monte Carlo strategy search method with double game trees. Moreover, the two-layer game decision-making method can precut the huge game tree strategy space, which improves the efficiency of strategy search. The distributed Monte Carlo strategy search method with double game trees can quickly search out the optimal decision scheme of an air combat game based on the opponent’s strategy. The experiment results show that the designed algorithm is effective and improves the efficiency of the decision compared with the Monte Carlo search algorithm of single-layer decision-making.