On Modeling and Discrete Particle Swarm Optimization for Task Assignment of Cooperating UAVs

被引：0
|
作者：
Gao Na [1 ]
Qu Zhi-hong [2 ]
Li Xiang-jun [3 ]
机构：
[1] Railway Profess Technol Coll, Xian 710014, Shaanxi, Peoples R China
[2] Air Force Engn Univ, Xian 710038, Shaanxi, Peoples R China
[3] PLA, Unit 95596, Xian 710306, Shaanxi, Peoples R China
来源：
2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6 | 2011年
关键词：
Unmanned Aerial Vehicle(UAV); Cooperation; Task assignment; Discrete particle swarm optimization algorithm(DPSO);
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：
Task assignment of cooperating multi Unmanned Aerial Vehicles (UAVs) is a hot problem recently. Considering the main factors include the attack order of UAV, kill probability, survival probability and attack path, the target assignment model in different stages for multi-UAVs is established. Discrete particle swarm optimization(DPSO) algorithm is introduced to solve the complex task assignment problem. Each particle's position is expressed in two multi-dimension vectors and the vectors evolve in different manner synchronously. The simulation results show that this method is satisfying.
引用
收藏
页码：1044 / +
页数：3
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