摘要
采用遗传算法进行火力分配,常存在实时性差、易陷局部最优及因条件约束不力导致所得解不符合战术要求等问题。提出一种改进的防空火力分配方法,该方法先采用HA挑选可参与分配的空袭目标和火力单元,再采用PGA进行火力分配优化计算。其间,采用矩阵形式表示染色体,并通过矩阵运算进行遗传操作,从而克服了上述采用传统遗传算法的缺点,便于满足转火约束等原则。试验表明,采用该方法进行实时火力分配,结果合理,具有良好的时效性。
There are some problems,for examples,scarcity of real time, trap of local optimization, scheme disaccording with tactics require from deficiency of condition restriction when assigning firepower by Genetic Algorithm （GA）. An improved approach is presented for air defense firepower allocation, which firstly makes use of Heuristic Algorithm （HA） to select air targets and firepower cells for taking part in the allocation, and then the allocation optimization calculation by is executed Partheno-Genetic Algorithm （PGA）. Because this approach uses matrix expressing chromosome, and performs genetic operation through matrix, so it overcomes the above shortcoming of GA, and is easy to stand to the principle about fire transfer, etc. In the experiments, this approach showed promising results on performance compared with other methods.
出处
《火力与指挥控制》
CSCD
北大核心
2013年第9期143-147,共5页
Fire Control & Command Control
基金
国防预研基金资助项目
关键词
单亲遗传算法
启发式算法
火力分配
弹炮混编
partheno-genetic algorithm, heuristic algorithm, firepower allocation, gun system with missile
作者简介
郑建军（1969-），男，河北宣化人，博士，高级工程师。研究方向：防空指挥自动化、人工智能。
