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    Genetic algorithm and adaptive neural network hybrid method for job-shop scheduling problems 

    Yang, Shengxiang; Wang, Dingwei (Northeastern University Press, China, 1998-07)
    This paper proposes a hybrid method of genetic algorithm (GA) and constraint satisfaction adaptive neural network (CSANN) for solving job-shop scheduling problems. In the hybrid method GA is used to iterate for searching ...
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    AuthorWang, Dingwei (1)
    Yang, Shengxiang (1)
    Subjectadaptive neural network (1)constraint satisfaction (1)
    genetic algorithm (1)
    Job-shop scheduling (1)... View MoreDate Issued1998 (1)Has File(s)Yes (1)

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary