%0 Journal Article
%T Adaptive bidirectional bacterial foraging optimization algorithm<br>自适应双向菌群优化算法
%A HU Gui-wu
%A CHEN Jian-chao
%A DU Xiao-yong
%A <br>胡桂武
%A 陈建超
%A 杜小勇
%J 计算机应用研究
%D 2012
%I 
%X This paper proposed on adaptive bidirectional bacterial foraging optimizationABBFO, which had self-adaptive chemotactic step size based clustering, could improve algorithm's local search ability. Bidirectional swarm was devised to enhance the efficiency and speed of algorithm, 10 complex Benchmark functions have been tested. The simulation shows that the ABBFO has better search ability and stability than other typical algorithm up to 60%~90% among test functions. The comparisons also shows ABBFO is an effective optimization.
%K bacterial foraging optimization algorithm
%K chemotactic step size
%K clustering
%K bidirection<br>菌群优化算法
%K 趋化步长
%K 聚类
%K 双向
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=38AAB79AD8A56B533459FE35FCA5613F&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=876A004F66EE6271&eid=BE674B8E9BA2B005&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10