%0 Journal Article
%T Improved genetic algorithm:GA-EO algorithm<br>一种改进的遗传算法：GA-EO算法
%A HE Ji
%A LI Xue-dong
%A <br>何　嘉
%A 李雪冬
%J 计算机应用研究
%D 2012
%I 
%X The basic GA genetic algorithm has some problems such as the poor ability of local search, the abundant calculated quantity, and the poor ability for searching big space and constrict in local minimum easily etc. Experiment proves that to mix the EO extremal optimization algorithm into GA could improve the above defects.
%K genetic algorithm(GA)
%K hybrid-GA
%K extremal optimization algorithm
%K local minimum<br>遗传算法
%K 混合遗传算法
%K 极值优化算法
%K 局部极小
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=9B3C227A81E2A28CD504CB6907004ADC&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=9CF7A0430CBB2DFD&sid=1B345B8A4C0FC701&eid=EC8E25DD475EC099&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10