%0 Journal Article
%T Chaotic migration-based pseudo parallel genetic algorithm and its application<br>一种基于混沌迁移的伪并行遗传算法及其应用
%A CHEN Xiao-fang
%A GUI Wei-hu
%A WU Min
%A WANG Ya-lin
%A <br>陈晓方
%A 桂卫华
%A 吴　敏
%A 王雅琳
%J 控制理论与应用
%D 2004
%I 
%X To address the premature convergence in the searching process of genetic algorithm a chaotic migration-based pseudo parallel genetic algorithm (CMPPGA) is proposed,which applied the idea of isolated evolution and information exchanging in distributed parallel genetic algorithm by serial program structure to solve the optimization problem of low real-time demand.In this algorithm,the asynchronic migration of individuals during parallel evolution is guided by a chaotic migration sequence.Because the sequence is ergodic and stochastic,information exchanging among sub-populations is ensured to be efficient and sufficient.Simulation study of CMPPGA and its application to inventory optimization have proved its capability of strong global search and superiority to SGA and high immunity against premature convergence.
%K parallel genetic algorithm
%K chaotic migration
%K premature convergence
%K inventory optimization<br>并行遗传算法
%K 混沌迁移
%K 早熟收敛
%K 库存优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=44B7551B3C9727FA&yid=D0E58B75BFD8E51C&vid=659D3B06EBF534A7&iid=B31275AF3241DB2D&sid=71EC92B56215521C&eid=15A3E3A739C4EF3F&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=5&reference_num=13