%0 Journal Article
%T A Hybrid Genetic Algorithm for Function Optimization<br>一种函数优化问题的混合遗传算法
%A PENG Wei
%A LU Xi-cheng
%A <br>彭伟
%A 卢锡城
%J 软件学报
%D 1999
%I 
%X To overcome the problem of slow convergence before the genetic algorithms (GAs) reach the global optima, it is an effective way to combine the conventional local search algorithms with GAs. A new hybrid algorithm that incorporates the flexible polyhedron method into the orthogonal genetic algorithm (OGA) is presented in this paper. The experiments showed that it can achieve better performance by performing global search and local search alternately. The new algorithm can be applied to solve the function optimization problems efficiently.
%K Genetic algorithm
%K flexible polyhedron
%K orthogonal crossover
%K function optimization<br>遗传算法
%K 可变多面体法
%K 正交交叉
%K 函数优化.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=03341E108705B09A&yid=B914830F5B1D1078&vid=F3090AE9B60B7ED1&iid=5D311CA918CA9A03&sid=C79A3F06E2AC5B9E&eid=CE504F5B1E192581&journal_id=1000-9825&journal_name=软件学报&referenced_num=21&reference_num=13