兵工自动化2016，Vol.35Issue(7)：7-10,4.DOI:10.7690/bgzdh.2016.07.003
基于ACA_PSO算法的无人机分布式任务分配方法
Distributed Task Allocation Method for UAV Based on ACA_PSO Algorithm
张瀚桥 1侯琳 2宋科璞1
作者信息
- 1. 中航工业西安飞行自动控制研究所，西安 710065
- 2. 飞行器控制一体化技术重点实验室，西安 710065
- 折叠
摘要
Abstract
In order to solve the task allocation problem, put forward a particle based ant colony algorithm. Ant colony algorithm-particle swarm optimization algorithm, the mixed algorithm, makes the ant colony have the character of ‘particle’. Build up a model of extended cooperative multi-tasks assignment problem. Using making up state-transition allowed set, the number of infeasible solutions was reduced sharply. Additionally, this algorithm has better performance in solving the task allocation problems, by relieving the problem of prematurity and falling into local optimum. The simulation results show that this algorithm can solve the distributed task allocation problem for multiple UAVs effectively, with faster convergence rate and better results.关键词
无人机/分布式/任务分配/蚁群_粒子群算法Key words
UAV/distributed/task allocation/ACA_PSO分类
军事科技引用本文复制引用
张瀚桥,侯琳,宋科璞..基于ACA_PSO算法的无人机分布式任务分配方法[J].兵工自动化,2016,35(7):7-10,4.
