%0 Journal Article
%T Migration Strategy for Mobile Agent Based on Distributed Genetic Algorithm<br>基于分布式遗传算法的移动Agent迁移策略
%A ZHU Cui-Tao
%A YANG Zong-Kai
%A CHENG Wen-Qing
%A WU Di
%A YAN He
%A <br>朱翠涛
%A 杨宗凯
%A 程文青
%A 吴砥
%A 严鹤
%J 计算机科学
%D 2007
%I 
%X Migration strategy is one of the most critical problems in the system based on mobile Agent, the efficiency of mobile Agent depends on the optimal migration strategy. This paper proposes a new genetic Algorithm, called Extended Distributed Genetic Algorithms (EDGA, for multiple constrained migration strategy of mobile Agent. EDGA combines the advantages of Distributed Genetic Algorithms with Cascade Model. We design a central monitor dynamically allotting the size of sub-populations according to their performance, directing the migration, therefore making the searching of routes converge to the global optimization faster and better. The result of the experiments shows that the method is more effective than others.
%K Mobile Agent
%K Migration strategy
%K Distributed genetic algorithm<br>移动代理
%K 迁移策略
%K 分布式遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=1E8759907DE6547817085CB4EC5DC97B&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=DF92D298D3FF1E6E&sid=4609832E4B5C797B&eid=F1A8654ADB4E656E&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9