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题名: An application of immune genetic algorithm for flexible job-shop scheduling problem
作者: Ma J(马佳) ; Zhu YL(朱云龙) ; Wang TR(王天然)
作者部门: 工业信息学研究室
会议名称: 2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
会议日期: October 22-24, 2010
会议地点: Taiyuan, China
会议录: 2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2010
页码: 461-464
收录类别: EI
ISBN号: 978-1-4244-7235-2
关键词: flexible job-shop scheduling problem ; scheduling ; immune genetic algorithm ; immune operator ; Abstract vaccin
摘要: The flexible job-shop scheduling problem (FJSP) is one of the most general and difficult of all traditional scheduling problem. The paper presents a novelty immune genetic algorithm (IGA) to solve the problem. This algorithm preserves the random global search ability of simple genetic algorithm (SGA), and introduces the immune mechanism by which the necessary vaccine may be extracted with the scheduling vaccinated so as to improve efficiently SGA's low ability for global search because of immature convergence and low local search ability. Thus, the IGA proposed can provide such ability and convergence rate that will implement the global optimum solution. The computation results validate the effectiveness of the proposed algorithm .
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8322
Appears in Collections:工业信息学研究室_会议论文

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Recommended Citation:
马佳; 朱云龙; 王天然.An application of immune genetic algorithm for flexible job-shop scheduling problem.见:IEEE .2010 International Conference on Computer Application and System Modeling (ICCASM 2010) ,Piscataway, NJ, USA,2010,461-464
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