%0 Journal Article
%T Research on Cultural Algorithm for Solving Nonlinear Constrained Optimization<br>求解约束优化问题的文化算法研究
%A HUANG Hai-Yan
%A GU Xin-Sheng
%A LIU Man-Dan
%A <br>黄海燕
%A 顾幸生
%A 刘漫丹
%J 自动化学报
%D 2007
%I 
%X The key idea behind cultural algorithm(CA)is to explicitly acquire problem-solving knowledge(beliefs)from the evolving population and in return apply that knowledge to guide the search.In this paper,we propose a CA based on mul- tilayer belief spaces that selects the best belief space from the multilayer belief spaces so as to apply the extracted knowledge to improve the performance of evolutionary algorithm used for constrained optimization.Examples show that the algorithm produces highly competitive results at a relatively low compu- tational cost.
%K Cultural algorithm
%K constrained optimization
%K multilayer belief spaces<br>文化算法
%K 约束优化
%K 多层信念空间
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=8E1A0BECBC5B9F70&yid=A732AF04DDA03BB3&vid=27746BCEEE58E9DC&iid=F3090AE9B60B7ED1&sid=CA10C709B736BBEA&eid=9C76A7541E963918&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=17