复合打击下具有多次拦截时机的火力分配问题

针对传统火力分配模型容易造成资源浪费的问题，将火力单元以组为单位，以最大化杀伤概率为目标，构建一种具有多次拦截时机的动态火力分配模型；考虑到组内火力单元复合打击的情况，使用Kuhn-Munkres算法，优先将目标分配给复合打击效果大的目标；在此基础之上，设计了一种基于遗传算法（GA）的Anytime算法，引入了元级控制，提出一种任意时刻算法停机时刻的判定方法；仿真实验验证了模型优越性以及算法的合理性，对火力分配任意时刻算法使用元级控制可以有效提高解的效用。

Weapon target assignment at multiple interception opportunities in composite strikes

A dynamic weapon target assignment model at multiple interception opportunities is constructed since the traditional weapon target assignment model is easy to cause waste of resources. The fire units are grouped to optimize the kill probability. Considering the composite strikes of fire units in groups, target with better strike performance is preferentially assigned by Kuhn-Munkres algorithm. An anytime algorithm based on genetic algorithm (GA) is then designed, and meta-level control is introduced. A stop timing determination method of anytime algorithm is proposed. Simulation experiments verify the rationality of the model and algorithm, and show that the algorithm can increase utility significantly.