%0 Journal Article
%T Improved real coded hybrid genetic algorithm<br>一种改进的实数编码混合遗传算法
%A ZHENG Sheng-rong
%A LAI Jia-mei
%A LIU Guo-liang
%A TANG Gang
%A <br>郑生荣
%A 赖家美
%A 刘国亮
%A 唐刚
%J 计算机应用
%D 2006
%I 
%X To solve such problems as premature convergence and slow evolving speed of the simple genetic algorithm during evolution,a comprehensive improved measure was put forward for the real coded genetic algorithm,including the netlike distribution of initial population creation,the best-keeping after operation of the genetic operators in each step,the improved dynamic crossover probability and dynamic self-adapting mutation probability.What's more,to replace the worst individual of current generation by the best one of the father generation was applied,and closed crossing avoidance as well. The numerical simulations show that the improved genetic algorithm is more effective in realizing the global optimization and promoting evolution efficiency,and has stronger adaptability in solving complex optimization problems.
%K real coding
%K dynamic adaptation
%K closed crossing avoidance
%K survival of the best
%K hybrid genetic algorithm<br>实数编码
%K 动态自适应
%K 近亲交叉回避
%K 优胜劣汰
%K 混合遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=3323B3E6E60BE1F8&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=AC45B356D9DF3BDB&eid=995853F82EBBAC94&journal_id=1001-9081&journal_name=计算机应用&referenced_num=9&reference_num=14