A Target Assignment Method based on Particle Swarm Optimization

被引:0
作者
Chen Zheng-xiong [1 ,2 ]
机构
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
[2] Minist Educ, Key Lab Complex Syst Intelligent Control & Decis, Beijing 100081, Peoples R China
来源
2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年
关键词
tank intelligent force; target assignment; particle swarm optimization; Population Explosion Operator;
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 tank, as traditional land warfare equipment, has been playing an important role in the war. According to the problem that the real-time and high effectiveness are difficult to be met in target assignment of tank intelligent forces, an improved method named Population Explosion Particle Swarm Optimization (PE-PSO) is proposed. The PE-PSO introduces the "Population Explosion Operator" (PEO) which is used to disperse particles and enhance the global search ability. To enhance the local search ability, the "shadow population" is employed. At last the simulation result proves that the proposed method possesses the features of simple implementation and good search capability. Therefore, the PE-PSO can meet the demands of the real-time and high effectiveness and successfully solve the target assignment of tank intelligent forces.
引用
收藏
页码:8405 / 8410
页数:6
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