%0 Journal Article
%T Ant colony algorithm based on dynamic adjustment of incremental of pheromone<br>基于动态调节信息素增量的蚁群算法*
%A LIU Rui-jie
%A HU Xiao-bing
%A <br>刘瑞杰
%A 胡小兵
%J 计算机应用研究
%D 2012
%I 
%X This paper studied the updating rule of pheromone and employed a new regulatory factor in this paper to avoid the stagnation,so the pheromone on the routes close to the shortest increased,others didn’t change obviously,which encouraged ants to find better solution in less time.Simulation results and convergence process show that the improved ant colony system has better performance in solving the traveling salesman problems(TSP).
%K ant colony algorithm(ACA)
%K dynamic adjustment factor
%K pheromone
%K incremental of pheromone
%K TSP<br>蚁群算法
%K 动态调节因子
%K 信息素
%K 信息素增量
%K 旅行商问题
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4189763B19B8AD452CD84AE3EFB40989&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=5E25104E99903E8A&eid=58F693790F887B3B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11