不确定情况下协同空战目标分配方法

现代空战环境下出现的大量不确定信息, 现在常用的协同目标分配模型都没有考虑到这种情况.针对这种情况,将随机规划引入到协同空战目标分配研究中,在一般期望值模型的基础上,建立了多机空战协同目标分配期望值模型,并利用随机模拟、神经网络和遗传算法结合而成的混合智能算法来求解该期望值模型.2∶4协同空战仿真结果表明该模型的有效性.

An Approach to Target Allocation for Cooperative Air Combat in Uncertain Environment

There is much uncertain information in modern air combat, which is seldom taken into account in the presented target allocation models. Considering this problem, random programming is introduced into target allocation in cooperative air combat. Based on the common expected value model, an expected value model of target allocation in cooperative air combat is constructed . This paper proposes the hybrid algorithm integrated with random simulation, neural network and genetic algorithm for the expected value model. The simulation result of 2 via 4 air-to-air combat shows that our system is effective.