%0 Journal Article
%T Mission Planning of Satellite Ground Station System Based on the Hybrid Ant Colony Optimization<br>基于混合蚁群优化的卫星地面站系统任务调度方法
%A XING Li-Ning
%A CHEN Ying-Wu
%A <br>邢立宁
%A 陈英武
%J 自动化学报
%D 2008
%I 
%X The mission planning of satellite ground station system is a representative of combinative optimization problem,and its optimization process is very complicated.For this reason,this paper proposes a hybrid approach which combines the ant colony optimization with guided local search to solve this problem.The optimization performance is improved largely by effectively integrating guided local search with ant colony optimization.Experimental results suggest that the proposed algorithm is a viable and effective approach for the mission planning of satellite ground station system.
%K Satellite ground station system
%K ant colony optimization
%K guided local search
%K mission planning<br>卫星地面站系统
%K 蚁群优化
%K 导向局部搜索
%K 任务规划
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=F5D9A73D0F62221220E05FFABB38CB29&yid=67289AFF6305E306&vid=339D79302DF62549&iid=E158A972A605785F&sid=3081401A9FAB9CE2&eid=6B3068A7C27BD349&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=9