郑州大学学报（工学版）2018，Vol.39Issue(3)：51-55,5.DOI:10.13705/j.issn.1671-6833.2017.06.026
基于改进人工蜂群算法的多无人机协同任务规划
Multi-UAV Cooperative Mission Planning Based on Improved Artificial Bee Colony Algorithm
摘要
Abstract
Multi-UAV cooperative mission planning was the key to multi-UAV cooperative combat.UAVs could share information with others and tackle tasks,which make it difficult to plan mission.In this paper,considering threat distribution,task sequence restriction and time of endurance,a mission planning mathematical model of multi-UAV cooperative mission planning was developed.To increase mission planning efficiency,the traditional ABC algorithm were improved by introducting dynamic evaluation selection strategy,introduction of metropolis rule,etc.The correctness and effectiveness of proposed method were validated by the calculation and analysis for multi-UAV cooperative mission planning.关键词
无人机/协同/任务规划/动态评价策略/人工蜂群算法Key words
unmanned aerial vehicles/coordination/mission planning/dynamic evaluation selection strategy/artificial bee colony(ABC) algorithm分类
航空航天引用本文复制引用
刘广瑞,王庆海,姚冬艳..基于改进人工蜂群算法的多无人机协同任务规划[J].郑州大学学报（工学版）,2018,39(3):51-55,5.基金项目
国家自然科学基金资助项目(U1304510) （U1304510）
郑州大学优秀青年教师发展基金(1421321076) （1421321076）
