基于遗传算法的地地导弹火力优化分配方法

Optimized Fire Distribution Method of Surface-to-Surface Missiles Based on Genetic Algorithm

火力分配直接关系到导弹作战效能的高低。本文针对多枚同型号导弹攻击疏散型集群目标的问题进行分析建模,并对模型进行验证。结论表明,借助遗传算法求解来实现火力优化分配,效率较高,是一种较好的工程适用方法。

Fire distribution is directly related to the level of missile battle efficiency.This paper gives analysis,modeling and validation of a scenario where multiple identical models of missiles attack scattered group targets.The result shows that genetic algorithms have greater efficiency in solving optimized fire distribution,providing a promising engineering method.