火力与指挥控制2012，Vol.37Issue(4)：188-191,4.
基于分合粒子群算法的多无人机任务重分配
Multi-UAV Dynamic Task Assignment by Particle Swarm Optimization Algorithm Based on Division and Union Strategy
许书诚 1王琪 1刘贤敏1
作者信息
- 1. 南昌航空大学信息工程学院,南昌 330063
- 折叠
摘要
Abstract
With the mission implemented by multi-UAV, the change of the battle field and formation state of UAV may cause failure of the original distribution plan or reduce efficiency, so it is necessary to execute multi-UAV dynamic task assignment again- Firstly, a formulation was proposed for it. Then task reassignment based on grouping was used. ,task grouping was implemented according to improved k-means algorithm, and particle swarm optimization algorithm based on division and union strategy was used to make task reassignment inside a group. In the end,a simulation proceeds.The simulation results indicate that the approach satisfies the requirements of the battle field.关键词
无人机/任务重分配/K均值聚类算法/粒子群优化算法/分合策略Key words
Unmanned Aerial Vehiche(UAV)/dynamic task assignment/k-means algorithm/particle swarm optimization algorithm/division and union strategy分类
航空航天引用本文复制引用
许书诚,王琪,刘贤敏..基于分合粒子群算法的多无人机任务重分配[J].火力与指挥控制,2012,37(4):188-191,4.
