%0 Journal Article
%T Seismic Exploration Attribute Optimization Based on Multi-Agent Parallel Genetic Algorithm<br>多Agent并行遗传算法在地震勘探属性优化中的应用
%A LIU Qi-cheng
%A ZHENG Wei-min
%A <br>刘其成
%A 郑纬民
%J 计算机科学
%D 2010
%I 
%X The method of design and implementation for parallel genetic algorithm is based on thick grain,with the multi-Agent combined with genetic evolution technology,to optimize the seismic attribution selection.A multi-Agent system includes two kinds of Agents:N-Agent and M-Agent,they can exchange the useful information which can represent the current situation of evolution.The methods are benefit to improve the performance of parallel genetic algorithm,and to raise the searching efficiency of the parallel geneti...
%K Agent
%K Attribute optimization
%K Genetic algorithm
%K Parallel<br>Agent
%K 属性优化
%K 遗传算法
%K 并行
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=DB7C2F1D5E2FE95D2EC08E0EC88E05A9&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=E158A972A605785F&sid=D9AE183D3F5C3C75&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9