%0 Journal Article
%T An Ecological Competition Model for Genetic Reinforcement Learning<br>基于生态竞争模型的遗传强化学习
%A CAO Xian-bin
%A GAO Jun
%A WANG Xu-fa
%A <br>曹先彬
%A 高　隽
%A 王煦法
%J 软件学报
%D 1999
%I 
%X Premature convergence and low converging speed are the distinct weaknesses of the genetic algorithms. Using the living things' growth pattern for reference, a new model called ECM(ecological competition model) is proposed, in which the competition is considered to be in important position. In the ECM model, the congenital genetic evolution and the postnatal competition learning on individuals' level are realized in each sub-population, moreover, the competition reinforcement learning on population level is realized. The experimental results show the ECM model's effectiveness.
%K Genetic algorithms
%K convergence
%K ecological competition
%K reinforcement learning
%K function optimization<br>遗传算法
%K 收敛性
%K 生态竞争
%K 强化学习
%K 函数优化.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=83F80886E5ED87721714F061B6B75EE8&yid=B914830F5B1D1078&vid=F3090AE9B60B7ED1&iid=B31275AF3241DB2D&sid=4E8E6A5CE04FD382&eid=A0C7970CD30381EA&journal_id=1000-9825&journal_name=软件学报&referenced_num=5&reference_num=11