多道防线导弹优化部署

现代空袋一般为大规模空袋，单个防空导弹武器系统已不能满足需要，须部署多个导弹武器系统，如何优化部署是是防空作战部署中的重要问题。利用排队论理论和方法，建立了多道防线的导弹优化部署模型。对于两道防线且导弹数目较少时，可采用完全枚举方法；对于导弹数目很大且防线道数多时，可采用遗传算法。遗传算法是一种基于自然选择和遗传法则的优化方法，并给出了具体的例子，实例表明该算法具有较高的计算效率。最后讨论了实战中情况与基本假设不符合时的解决方法。该研究方法为导弹部署优化提供了基本思路。

Optimum Deployment Model for Multi-Lines of Missile Defence

The modern air attack environment is getting more and more complex. The scale of air attackers is usual large. It is impossible that a single air defence missile weapon system has a satisfactory capability against all possible threats. So several air defence missile weapon systems are deployed to hold up the attackers. The problem of allocation optimum for air defence missile weapon system is important in air defence deployment. By use of the queuing theory, an optimum deployment model for multi lines of missile defence is built up. On condition that the number of missile weapon system is less in two lines of missile defence, it can be solved by an entire enumerate method. Contrarily, it can be solved by genetic algorithm. Genetic algorithm is an optimization technique based on the concepts of natural selection and genetics. Result illustrates genetic algorithm efficiency. Finally, it is solved that the condition of actual combat is different from the basic supposition. It provides a basic consideration for optimum deployment of missile weapon system.