基于免疫算法的空战目标分配

目标分配是现代空战系统对抗中要首先面对的问题,它是一个组合优化问题.首先用优势函数来表明敌我态势,建立机群对抗优势函数矩阵.然后将一种新型的启发式算法--免疫算法用于解决目标分配问题.免疫算法具有很好的全局搜索能力和收敛性,能够很好地解决这类问题,实例也证明了该方法是可行和有效的.

Target assignment based on immune algorithm in air combat

Target assignment is very important in modern air combat system antagonism,and it is a combined optimization problem.First, we used a superiority function to express the situation between the enemy and ourselves,and built up an air fleet fight superiority function matrix.Then,we used a new heuristic algorithm,Immune Algorithm(IA) to solve the problem of target assignment.With nice global searching capability and convergence property, IA is suitable for such kind of problem.It is proved by practice that this method is reliable and suitable.