基于模糊遗传算法的先进战机协同攻防决策

A Decision-making of Advanced Fighter Cooperative Attack and Defense Based on Fuzzy Genetic Algorithm

根据先进战机的特点以及协同空战的发展方向,采用了一种基于先敌发现、先敌发射、先敌摧毁能力的空战态势分析模型,为了更符合作战情形对其进行了部分改进。将模糊遗传算法应用于上述模型,给出了求解多机协同攻防决策问题的算法,模糊推理器主要用于交叉概率Pc和变异概率Pm的整定。最后用具体算例进行仿真验证,结果表明采用的空战态势分析模型能够较为准确地描述多机协同空战,同时采用的算法具有较好的可行性和实时性,为协同空战的攻防决策提供了新的解决方案。

According to the characteristics of advanced fighters and the development direction of cooperative air combat,an air combat situation analysis model is considered based on the first view,the first shit,the first kill,and some improves have been made to be more in line with the combat situation.Subsequently,a fuzzy genetic algorithm is applied to the model for solving the problem of collaborative attack and defense decision-making for advanced fighters.Then,a fuzzy inference is used to set the crossover probability Pc and the mutation probability Pm.Finally,the simulation results are given through a specific example.The results show that the model can describe the multi-fighter cooperative air combat more accurately.And,the provided algorithm is verified with good feasibility and real-time performance,which also provides a new solution for the offensive and defensive decision-making of multi-fighter cooperative air combat.