%0 Journal Article
%T A Hybrid Genetic Algorithm for Solving a Multi-objective Job Scheduling Problem on Parallel Machines Based JIT Technique<br>基于JIT的多目标并行多机调度问题的混合遗传算法
%A HUANG De-cai
%A GUO Hai-dong
%A SHEN Liang-zhong
%A <br>黄德才
%A 郭海东
%A 沈良忠
%J 系统工程理论与实践
%D 2004
%I 
%X A hybrid genetic algorithm is presented for minimizing the range of lateness and make-span on parallel identical machines. Its coding method is very simple because it utilized the properties of optimal effective algorithm of the corresponding single machine problem. Numeric examples illustrate that the genetic algorithm has the properties of fast convergence. The solutions gained by the genetic algorithm are pretty well.
%K JIT
%K job scheduling
%K genetic algorithm<br>及时制
%K 零件排序
%K 遗传算法
%K 轮盘赌选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=9A70EA33C197C344&yid=D0E58B75BFD8E51C&vid=B91E8C6D6FE990DB&iid=38B194292C032A66&sid=9FFCC7AF50CAEBF7&eid=95D537AC89B28832&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=3&reference_num=6