自适应蚁群算法的多机协同空战目标分配方法  

Research of Target Assignment Problem based on Adaptive Ant-Q System Algorithm

作　　者：于雷[1] 任波[1] 鲁艺[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《火力与指挥控制》2008年第6期49-51,共3页Fire Control & Command Control

基　　金：军队重点科研基金资助项目(HX05205)

摘　　要：对目标超视距空战将是今后空战的主要形式和发展趋势,多机协同多目标攻击中的关键问题是空战决策。首先建立了空战态势评估方法,结合蚁群算法思想,提出了一种新型的目标分配算法模型,并进行了算法实验。实验结果表明基于自适应蚁群算法解决多机协同空战的目标分配问题是有效的,特别是问题规模较大时更显示出其较快的收敛速度和较高的精度。To improve the efficiency in combat mission, the target assignment problem is a very important but very difficult problem. The adaptive Ant-Q System algorithm is studied in the paper, which looks quite promising for the target assignment problem. In the full paper, we present the situation model; then based on the ant colony algorithm~ a new method is put forward. Algorithm experimental result is given in the end, which shows that this new target assignment method is valid with a fast convergence raise and high precision.

关 键 词：目标分配 Q-学习蚁群算法 多目标攻击 

分 类 号：V271.41[航空宇航科学与技术—飞行器设计] TU457[建筑科学—岩土工程]