%0 Journal Article
%T Novel hybrid genetic algorithm for global optimization problems<br>一种求解全局优化问题的新混合遗传算法
%A LI Hong
%A JIAO Yong-chang
%A ZHANG Li
%A WANG Yu-ping
%A <br>李宏
%A 焦永昌
%A 张莉
%A 王宇平
%J 控制理论与应用
%D 2007
%I 
%X A novel hybrid genetic algorithm for global optimization problems is proposed in this paper.A real-coded genetic algorithm is addressed.A simplified quadratic interpolation method is then integrated into the genetic algorithm. The hybrid genetic algorithm is capable of avoiding the premature convergence,improving the global search ability of the algorithm and the accuracy of the minimum function value,as well as reducing the computational burden.Simulation results on 23 benchmark problems show that the proposed hybrid genetic algorithm is efficient and effective in comparison with other existing algorithms.
%K quadratic interpolation method
%K genetic algorithm
%K global optimization
%K hybrid genetic algorithm<br>二次插值法
%K 遗传算法
%K 全局优化
%K 混合遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=98170EA49C782E785F64B1251A0EB4B8&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=38B194292C032A66&sid=5957D6E0A50D26B5&eid=375BEEEA164CFE59&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=5&reference_num=7