## 留言板

 引用本文: 颜骥, 李相民, 刘立佳, 等 . 基于Memetic算法的超视距协同空战火力分配[J]. 北京航空航天大学学报, 2014, 40(10): 1424-1429.
Yan Ji, Li Xiangmin, Liu Lijia, et al. Weapon-target assignment based on Memetic optimization algorithm in beyond-visual-rang cooperative air combat[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(10): 1424-1429. doi: 10.13700/j.bh.1001-5965.2013.0643(in Chinese)
 Citation: Yan Ji, Li Xiangmin, Liu Lijia, et al. Weapon-target assignment based on Memetic optimization algorithm in beyond-visual-rang cooperative air combat[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(10): 1424-1429. (in Chinese)

• 中图分类号: V247

## Weapon-target assignment based on Memetic optimization algorithm in beyond-visual-rang cooperative air combat

• 摘要: 针对超视距多机协同空战中,火力单元采用一次性完全分配原则容易造成资源浪费的问题,采用一种新的火力分配数学模型.该模型带有毁伤概率门限,能够保证在满足毁伤概率门限的前提下,优先保证威胁度大的目标被分配且选择对各目标杀伤概率相对较大的火力单元,使其对目标的毁伤概率平均值达到最大且尽量少地消耗火力单元,从而节省和充分利用火力资源.在此基础上,提出采用以离散粒子群算法为全局搜索策略,以贪婪算法为局部搜索策略的Memetics算法求解协同空战火力分配问题,有效地提高了算法收敛速度、精度.仿真算例验证了模型的优点及Memetic算法的有效性.

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##### 出版历程
• 收稿日期:  2013-11-06
• 网络出版日期:  2014-10-20

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