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    National Tsing Hua University Institutional Repository > 工學院  > 工業工程與工程管理學系 > 期刊論文 >  Evolutionary algorithms for production planning problems with setup decisions

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/46620

    Title: Evolutionary algorithms for production planning problems with setup decisions
    Authors: Hung, Y.-F.;Shih, C.-C.;Chen, C.-P.
    教師: 洪一峰
    Date: 1999
    Publisher: Palgrave Macmillan
    Relation: JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, Palgrave Macmillan, Volume 50, Issue 8, AUG 1999, Pages 857-866
    Keywords: genetic algorithms
    integer programming
    linear programming
    production control
    Abstract: Production planning problems with setup decisions, which were formulated as mixed integer programs (MIP), are solved in this study. The integer component of the MIP solution is determined by three evolution algorithms used in this study. Firstly, a traditional genetic algorithm (GA) uses conventional crossover and mutation operators for generating new chromosomes (solutions). Secondly, a modified GA uses not only the conventional operators but also a sibling operator, which stochastically produces new chromosomes from old ones using the sensitivity information of an associated linear program. Thirdly, a sibling evolution algorithm uses only the sibling operator to reproduce. Based on the experiments done in this study, the sibling evolution algorithm performs the best among all the algorithms used in this study
    URI: http://www.jstor.org/pss/3010344
    Appears in Collections:[工業工程與工程管理學系] 期刊論文

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