Application of particle swarm optimization algorithm in area target fire assignment

被引:0
|
作者
Zhao, Xuan [1 ]
Zhao, Xiaoning [1 ]
Shen, Qingfeng [1 ]
Yang, Jian [1 ]
Yang, Wenfu [1 ]
Xie, Xiaoyang [1 ]
机构
[1] China Acad Launch Vehicle Technol, Beijing 100076, Peoples R China
关键词
particle swarm optimization; aiming point; damage area ratio; ammunition consumption;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The calculation of ammunition consumption is an important research content of missile fire planning, to give full play to the missile operational effectiveness has important significance. In order to solve the optimization problem of the traditional aiming point distribution method, this paper presents an optimization calculation method of ammunition consumption for attacking area target. In the first place, the optimized calculation model and the calculation process is established. Secondly, through the introduction of particle swarm optimization (PSO) algorithm, the optimal aiming point position is solved. Finally, the rationality and adaptability of the PSO algorithm are compared with the traditional aiming point distribution method. It provides an important support for the fire planning of missile weapon system.
引用
收藏
页码:770 / 775
页数:6
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