指挥控制与仿真2016，Vol.38Issue(3)：51-54,4.DOI:10.3969/j.issn.1673-3819.2016.03.009
基于云遗传算法的防空导弹目标分配问题
Target Assignment P roblem of Air-defense Missile Based on Cloud Genetic Algorithm
程彦杰 1刘正堂 1邹永杰1
作者信息
- 1. 中国电子装备试验中心，河南 洛阳 471000
- 折叠
摘要
Abstract
Aimming at the defects of traditional genetic algorithm in target optimizing distribution, a more efficient cloud ge⁃netic algorithm is proposed. Using this algorithm, the target distribution model for air⁃defense missile shooting target is simu⁃lated and solved. At last, the optimal allocation scheme of air⁃defense missile is obtained. Compared with the traditional ge⁃netic algorithm, the numerical analysis shows that convergence speed of the cloud genetic algorithm is faster. At the same time,search efficiency increases more than double approximately. Meanwhile local optima phenomena can be controlled effec⁃tively and reasonablely. The results shows the operability and superiority of this algorithm are better.关键词
云遗传算法/防空导弹/火力优化/目标分配/作战效能Key words
cloud genetic algorithm/air-defense missile/firepower optimal/target assignment/combat effectiveness分类
军事科技引用本文复制引用
程彦杰,刘正堂,邹永杰..基于云遗传算法的防空导弹目标分配问题[J].指挥控制与仿真,2016,38(3):51-54,4.
