Research on the Algorithm of Air Combat Game Strategy Based on MCTS
Abstract
Aiming at the complex problem of make a decision on the game strategy of air combat, this paper analyzed the air combat situation advantage value such as the angle and distance of combat aircraft by the battlefield situation, built the ail combat game model. Monte Carlo tree search algorithm is used to select the best game strategy. The experiment result shows that the model and the method are correct and effective and can search out the optimal game strategy in the huge game strategy space quickly.
DOI
10.12783/dtmse/ameme2020/35597
10.12783/dtmse/ameme2020/35597
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