基于改进蚁群算法的防空作战武器目标分配方法

Air Defense Weapon Target Allocation Method Based on Improved Ant Colony Algorithm

针对防空作战中传统武器目标分配模型的不足,提出了防空作战的WTA模型。同时,根据蚁群计算在解决武器目标分解问题上的缺陷,提出了把混沌变换运用到蚁群计算中来处理该问题的新思路,即通过改进遗传算法并引入混沌算子,运用混沌变换的特性选择了蚁群计算的起始部分:随机性、遍历性和规则,使初始类型产生了多样化,进而形成了良好的计算公式,进而提升了计算的寻优效率,进而提升了全局角度收敛性。经过仿真实验,该方法是优于原算法的。

In view of the shortcomings of the traditional weapon target allocation model in air defense operations,a WTA mod⁃el for air defense operations is proposed.At the same time,in view of the shortcomings of ant colony algorithm in solving the prob⁃lem of weapon target allocation,the idea of applying chaotic transformation to ant colony algorithm to solve this problem is pro⁃posed,that is,genetic algorithm is improved,chaotic operator is introduced,and the characteristics of chaotic transformation is used to select the initial position of ant colony algorithm:randomness,ergodicity and regularity,so that the initial population has di⁃versity and produces better initial values,thus improving the optimization speed of the algorithm,The global convergence is further improved.The results show that this method is feasible and far better than the traditional ant colony algorithm.