Multi-aircraft Cooperative Air Combat Decision-making Simulation Based on Bayesian Optimization Algorithm

Multi-aircraft cooperative air combat will be an important air-to-air combat format.The intelligent decision making is very important for air combat.According to the characters of air combat and the requirement of decision making,a selfdetermination advantage matrix of multi-aircraft cooperative air combat is built firstly.The weights of both sides and aircraft formation have been assigned based on conflict theory.The whole advantage matrix has been built based on the analysis.The Bayesian optimization algorithm is given out.The modeling has been optimized with Bayesian optimization algorithms and the multi-aircraft cooperative air combat decision-making is realized.Simulations have verified that the method could be used to solve the complex problem.