%0 Journal Article
%T Fusion algorithm for vehicle routing problem with soft time windows<br>求解带软时间窗车辆路径问题的融合算法
%A WU Zheng-cheng
%A WEN Zhong-hua
%A HUANG Li-fang
%A <br>吴正成
%A 文中华
%A 黄丽芳
%J 计算机应用研究
%D 2012
%I 
%X This paper designed a fusion optimization algorithm of genetic algorithm and mutated ant colony algorithm. It used the excellent gene protection strategy and introduced a mutation mechanism and improved the pheromone updating methods, to improve the speed to search routing path and solve global ability. After experiments, the results verify this algorithm can obtain problem optimal solution or approximate optimal solution effectively and quickly.
%K vehiele routing problem with soft time windows
%K genetic algorithm
%K mutated ant colony algorithm
%K fusion algorithm<br>带软时间窗车辆路径问题
%K 遗传算法
%K 变异蚂蚁算法
%K 融合算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=11CC05D77ABBCF65498A43A52C640A72&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=FDB84E128E0A186A&eid=51684A67C85FB7B7&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10