%0 Journal Article
%T Chaotic bacterial colony chemotaxis algorithm and application<br>混沌细菌群体趋药算法及应用
%A SUN Jia-ze
%A GENG Guo-hu
%A WANG Shu-yan
%A PAN Xiao-ying
%A <br>孙家泽
%A 耿国华
%A 王曙燕
%A 潘晓英
%J 计算机应用研究
%D 2012
%I 
%X To overcome the problem of slow convergence speed in bacterial colony chemotaxisBCC optimization algorithm, this paper presented chaotic bacterial colony chemotaxis CBCC algorithm. The algorithm introduced the chaotic search based on Tent map into bacterial colony to keep the variety of bacterial movement, and partitioned the bacteria into two groups: traditional group searching via BCC and chaotic group searching via Tent Map at the same time. So the global convergence performance was greatly enhanced. Finally, the classic examples show that chaos bacterial colony chemotaxis optimization algorithm has better convergence speed than traditional BCC.
%K bacterial colony chemotaxis optimization algorithm
%K chaotic optimization algorithm
%K Tent map
%K convergence speed<br>细菌群体趋药算法
%K 混沌优化算法
%K 帐篷映射
%K 收敛速度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=11CC05D77ABBCF65EB7640E27431CE7D&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=E1B0928DFC2A1ADD&eid=355648A871120E2F&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8