%0 Journal Article
%T Research on QoS-aware cloud service optimal composition<br>QoS感知的云服务优化组合研究
%A LIU Zhi-zhong
%A LEI Guan-jun
%A XUE Xiao
%A LUO Jun-wei
%A <br>刘志中
%A 雷冠军
%A 薛　霄
%A 罗军伟
%J 计算机应用研究
%D 2012
%I 
%X In order to address the problem of QoS-aware cloud services optimal composition, this paper firstly improved the social cognitive optimization, and proposed a kind of imitation learning method for discrete optimization problems and designed a kind of observation learning method. Then, it used the improved SCO algorithm to solve the QoS-aware cloud service optimal composition problem. The experiment results show that improved social cognitive optimal algorithm has strong search ability and fast convergence rate, it also can be used to solve other discrete optimization problems.
%K cloud computing
%K cloud service composition
%K quality of service（QoS）
%K social cognitive optimization（SCO）<br>云计算
%K 云服务组合
%K 服务质量
%K 社会认知算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=38AAB79AD8A56B53AB379479CD6616A8&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=DE6D96EFF57B8D35&eid=384594116339BF99&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14