基于遗传算法的弹炮混编防空群火力分配

The Fire Distribution Problem of ADG Made up of AGM based on Genetic Algorithm

近期局部战争中的防空作战经验表明:实施弹炮混编可以大大提高防空武器系统的作战效能,而如何实施有效的火力分配又是其中的一个重要环节。针对陆军弹炮混编防空群射击指挥中的火力分配问题,简要分析了防空导弹和高炮武器系统射击的不同特点,提出了弹炮混编防空群的火力分配方法,并建立了优化火力分配方案的数学模型。在此基础上,采用遗传算法对此模型求解。结果表明,遗传算法为弹炮混编防空群的火力优化分配问题提供了一条有效途径。

It is concluded from the results of air defense operations in the rcent local wars that the air defense system made up of AGM （Antiaircraft Guns and Missle） is capable of an increased combat effectiveness of the air defense system ,and how to carry out effective fire distribution is the key point in it. Aimed at the fire distribution of the fire command for ADG （Air Defense Group） made up of AGM in the Army,a brief analysis of the different point of the shooting beteen anticraft guns and missle and the fire distribution method for ADG made up of AGM is given,an optimization mathematical model is presented. On the basis, a genetic algorithm is adopted to solve the model. The result indicate that the genetic algorithm provides a new way to solve the fire distribution for ADG made up of AGM.