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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/73503
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/73503

    Title: Genetic algorithms applied to the continuous flow shop problem
    Authors: 陳春龍
    Neppalli, Ranga V.;Aljaber, Nasser
    Contributors: 資管系
    Date: 1996-09
    Issue Date: 2015-02-12 14:44:29 (UTC+8)
    Abstract: This research develops an approach for applying Genetic Algorithms (GA) to scheduling problems. We generate a GA based heuristic for continuous flow shop problems with total flow time as the criterion. The effects of several crucial factors of GA on the performance of the heuristic for the problem are explored in detail. The computational experience of heuristic provides several observations of the application of GA, and strongly supports that the applications of GA are problem specific. The computational experience also shows that GA can be good techniques for scheduling problems.
    Relation: Computers & Industrial Engineering,30(4),919-929
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/0360-8352(96)00042-3
    DOI: 10.1016/0360-8352(96)00042-3
    Appears in Collections:[資訊管理學系] 期刊論文

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