%0 Journal Article
%T Study on job-shop scheduling problem by genetic algorithm and artificial immune algorithm<br>遗传算法与人工免疫算法对车间调度问题求解
%A LIU Sheng-hui
%A LI Ying
%A <br>刘胜辉
%A 李莹
%J 计算机应用研究
%D 2009
%I 
%X This paper developed a new algorithm for solving local-optimal and inefficiency problems in the job-shop scheduling problem.The algorithm introduced a method of evaluating premature convergence criteria for population,adopted a new crossover operator speeding up the evolution speed of genetic algorithm,and designed a method of extracting and injecting vaccines during the artificial immune algorithm,which was based on the method of gene segments extracting vaccines of processing machine and the injecting met...
%K genetic algorithm
%K artificial immune algorithm
%K job-shop<br>遗传算法
%K 人工免疫算法
%K 车间调度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D6B819439F17D458D8C5790DF374BBB0&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=26575C75E717EF55&eid=64370E3B99885BD9&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=7