摘要
本文构建一个多无人机协同任务规划的模型,利用Voronoi图通过划分空间来形成有向图,根据特定的约束条件,使无人机能用最短的时间在防御方雷达有效探测范围内,并用遗传算法求得最短时间.
In this paper,the author has built the model of multi UAV by cooperative mission planning,using the Voronoi map to divide the space to form a directed graph. According to the specific constraints,the UAV could get the shortest time to detect in effective range,and use genetic algorithm to find out the the shortest time.
出处
《白城师范学院学报》
2017年第6期37-41,共5页
Journal of Baicheng Normal University
基金
吉林省教育科学"十三五"规划课题(GH16482)
河北省社科联社会科学发展研究青年课题(201604030505)
关键词
VORONOI图
聚类
多目标分配
遗传算法
Voronoi graph
clustering
multi-objective assignment
genetic algorithm
