%0 Journal Article
%T Hybrid artificial fish swarm algorithm for global optimization problems<br>求解全局优化问题的混合人工鱼群算法
%A HUANG Hua-juan
%A ZHOU Yong-quanCollege of Mathematics
%A Computer Science
%A Guangxi University for Nationalities
%A Nanning Guangxi
%A China
%A <br>黄华娟
%A 周永权
%J 计算机应用
%D 2008
%I 
%X Based on the Powell algorithm and Adaptive Artificial Fish Swarm Algorithm (AAFSA), a hybrid artificial fish swarm algorithm (AAFSA-Powell) for global optimization problems was presented by inserting Powell algorithm into AAFSA. As a local search operator, Powell algorithm has strong local search ability, whereas artificial fish swarm algorithm has global convergence. Therefore, the hybrid algorithm is capable of improving the global search ability of the algorithm, as well as reducing the computational burden. The numerical experimental results show that the algorithm can converge quickly with high adjustment.
%K Powell algorithm
%K artificial fish swarm algorithm
%K adaptive artificial fish swarm algorithm
%K global optimization<br>Powell算法
%K 人工鱼群算法
%K 自适应人工鱼群算法
%K 全局优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=6E98B5964C3BB6AB9ED2FFE48713D561&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=F7A972A4989AB38B&eid=A58F9414E3DFB66B&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=14