%0 Journal Article
%T An Improved Fuzzy Genetic Algorithm to Suppress the Premature Convergence<br>一种改进的抑制早熟收敛的模糊遗传算法
%A DENG Li
%A LU Rui-Hua
%A <br>邓莉
%A 鲁瑞华
%J 计算机科学
%D 2007
%I 
%X Aiming at the premature convergence of the genetic algorithm, an improved fuzzy genetic algorithm is proposed. In this algorithm, the mean square deviation of group fitness and population evolution generation are used as the criteria of prema- ture convergence, and according to the estimation from fuzzy logic controllers, relevant evolution methods are given to different chromosomes, that is punishing the strongers and awarding the weakers when the population evolves normally in order to maintain the diversity of population, while doing catastrophe operation to the weakers to renew population evolution once the premature convergence appears or tends to appear. The experiment results show that the improved fuzzy genetic algorithm can maintain the population diversity and suppress the premature convergence better in comparison with the standard genetic algo- rithm, the adaptive genetic algorithm and the fuzzy genetic algorithm.
%K Premature convergence
%K Fuzzy genetic algorithm
%K Evolution generation
%K Fuzzy logic controller
%K Population diversity<br>早熟收敛
%K 模糊遗传算法
%K 进化代数
%K 模糊逻辑控制器
%K 种群多样性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=62AA7059D13A9CA3CCED90BC2499C7F9&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=708DD6B15D2464E8&sid=2DBBF45CC176713E&eid=D59111839E7C8BDF&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=17