%0 Journal Article %T Similarity matching selection of genetic algorithm
遗传算法的相似性配对方式 %A XIE Zhi-wen %A YIN Jun-xun %A JIN Jing %A
谢志文 %A 尹俊勋 %A 金晶 %J 计算机应用 %D 2005 %I %X A new matching selection called similarity-matching selection of genetic algorithm was presented and the probabilities of the selection were calculated.An experimental calculation based on the proposed matching selection for a maximum problem was performed.The results show that such a matching selection guarantees the centralization and continuity of the excellent genes and can help to maintain the good gene constructions from the point of real world's view.Furthermore,from the point of calculation convergence view,the calculation using the new matching selection is not easy to diverge in the small area around the global maximum.Therefore,the speed of convergence can be accelerated. %K similarity %K genetic algorithm %K matching selection
相似性 %K 遗传算法 %K 配对原则 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=E67E87CE3201B423&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=A0C0AE84F0018085&eid=30D12647FBC8A758&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7