针对现有机动决策模型体现空战对抗性不足的问题,基于博弈论构建机动决策模型并提出采用改进Memetic算法求解。基于双矩阵博弈构造空战机动决策模型;MA由粒子群优化算法和禁忌搜索算法组成,并引入模拟退火算法以保持粒子多样性。仿真表明更加符合空战实际,可对空战进行有效建模,求解算法满足实时性要求。

The existing maneuvering decision models are deficient in reflecting the confrontation of the air combat.Therefore,we proposed an air combat maneuvering decision model based on game theory,and used Memetic Algorithm (MA) to solve the model.The air combat maneuvering decision model was established based on bi-matrix game.The MA was composed of Particle Swarm Optimization (PSO) and Tabu Search (TS) algorithm,and Simulated Annealing (SA) was introduced to maintain the diversity of particles.Simulation results show that the framework can effectively model the actual air combat,and the improved MA can meet the real-time requirements.