%0 Journal Article
%T Ant Colony Optimization Parallel Algorithm Based on Fine-grained Model<br>基于细粒度模型的并行蚁群优化算法
%A ZHU Hai-mei
%A ZHU Qing-bao
%A <br>朱海梅
%A 朱庆保
%J 计算机应用研究
%D 2004
%I 
%X Although a good many important results have been achieved about the research of Ant Colony Optimization (ACO) algorithm and its application,the time required to find good optimal solution is unbearable for large scale optimization problems.Therefore,ant colony optimization parallel algorithm base on fine-grained model is proposed to improve its performance in this paper.The results of experiment show that the algorithm described in this paper make the searching speed hundreds of times faster than the latest improved one.
%K Ant Colony Optimization Algorithm
%K Ant Colony
%K System
%K Parallel
%K Algorithm
%K Fine-grained Model
%K TSP
%K (Problems<br>蚁群优化算法
%K 蚁群系统
%K 并行算法
%K 细粒度模型
%K TSP问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8319E911E2216A93&yid=D0E58B75BFD8E51C&vid=659D3B06EBF534A7&iid=708DD6B15D2464E8&sid=6AC2A205FBB0EF23&eid=1D0FA33DA02ABACD&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13