%0 Journal Article
%T Modeling Idealized Parallel Genetic Algorithms<br>一种理想并行遗传算法模型
%A HOU Guang-kun
%A LUO Jiang-peng
%A <br>侯广坤
%A 骆江鹏
%J 软件学报
%D 1999
%I 
%X The migration and population sizing of paralle l genetic algorithms are discussed in this paper, the migration procedure is ana lysed, the nature of migration is revealed, then a computation model of migratio n in the ideal conditions is propose. Base on this model, a quality estimation f or parallel genetic algorithms with large grain is drived, it predicts the quali ty tendency of evolution quite precisely in special domain, by experiments.
%K Parallel genetic algorithms with large grain
%K building blocks convergence
%K migra tion schemes
%K communication topology
%K population sizing<br>粗粒度并行遗传算法
%K 积木块
%K 迁移模式
%K 子群体连接拓扑结构
%K 群体规模估算模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=D68C9291B7AB91A8&yid=B914830F5B1D1078&vid=F3090AE9B60B7ED1&iid=94C357A881DFC066&sid=2E15A588990CC690&eid=A3F93694B058F76C&journal_id=1000-9825&journal_name=软件学报&referenced_num=7&reference_num=4