%0 Journal Article
%T Weighed Hybrid Heuristics for B1-objective No-wait Flow Shops Problem<br>双目标无等待流水线调度的加权混合算法
%A TAN Chao
%A LI Xiao-ping
%A <br>谈超
%A 李小平
%J 计算机科学
%D 2008
%I 
%X A weighed hybrid particle swarm optimization was introduced for bi-objective no-wait flow shops to minimize makespan and total flow-time problem,which makes the problem into single objective by random weighted and apply PSO on no-wait flow shops problem with the rule based on ranked-order-value.In order to improve the optimization of PSO and increase the algorithm's exploring ability,we can improve the performances through constructing the initial swarm by using NEH and executing PSO on a better initial val...
%K Bi-objective no-wait flow shops
%K Discrete particle swarm optimization
%K Objective weighted
%K Variable neighborhood search<br>双目标无等待流水线作业调度
%K 粒子群优化
%K ROV编码
%K 目标加权
%K 变邻域搜索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=8610BCC7C61C822F26FDB7EEAB6135B6&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=708DD6B15D2464E8&sid=FCD27DC5E1F2EEE7&eid=974CBB04624305A1&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=16