基于云遗传算法的防空火力分配  

Air Defense Fire Distribution Based on Cloud-genetic Algorithm

作　　者：雷鸣[1,2] 谢斌 Lei Ming;Xie Bin(The 28th Research Institute of China Electronic Group Corporation,Nanjing 210007,China;Science and Technology on Information Systems Engineering Laboratory,Nanjing 210007,China)

机构地区：[1]中国电子科技集团公司第二十八研究所,江苏南京210007 [2]信息系统工程重点实验室,江苏南京210007

出　　处：《系统仿真学报》2018年第9期3533-3537,3551,共6页Journal of System Simulation

摘　　要：防空火力分配问题是研究防空作战中的一个重要问题,对战争胜负有重要的作用。针对防空战争的特点,建立了以打击效益最大为优化目标的火力分配模型,基于云模型的优良特性,结合遗传算法,提出了一种基于云模型的改进遗传算法,主要是对交叉变异算子进行了构造,不仅能加快收敛速度,提高了算法的搜索效率,还能较好地避免算法陷入局部最优和早熟收敛。通过对某防区火力防空问题的仿真实验,验证了算法的可行性。Air defense fire distribution is a critical problem in the researches on air defense operation. This paper builds a fire distribution model with the maximization of strike as its optimization objective, and proposes a cloud model-based modified genetic algorithm based on the advantageous characteristics of cloud model in combination of genetic algorithm, which not only accelerates the rate of convergence and increases search efficiency of the original algorithm, but also preferably avoids the problems of local optimum and premature convergence. Simulation experiments have verified the feasibility of the modified algorithm.

关 键 词：火力分配 云模型 云发生器 云遗传算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]