• DocumentCode
    952484
  • Title

    Hybridizing a genetic algorithm with rule-based reasoning for production planning

  • Author

    Hamada, Kazuro ; Baba, Torhimitsu ; Sato, Ken´ Ichi ; Yufu, Masanao

  • Author_Institution
    Electron. Res. Lab., Nippon Steel Corp., Kanagawa, Japan
  • Volume
    10
  • Issue
    5
  • fYear
    1995
  • fDate
    10/1/1995 12:00:00 AM
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    Scheduling problems in steelmaking are too large and complex for any one method. Our approach divides the problem into subproblems, and then combines procedural methods, a rule-based expert system, and a genetic algorithm. This strategy produces time-saving, cost-effective schedules
  • Keywords
    expert systems; genetic algorithms; inference mechanisms; scheduling; steel industry; steel manufacture; cost-effective schedules; genetic algorithm; procedural methods; production planning; rule-based expert system; rule-based reasoning; scheduling problems; steelmaking; Control systems; Expert systems; Genetic algorithms; Inference algorithms; Job shop scheduling; Manufacturing industries; Pattern matching; Production planning; Software systems; Steel;
  • fLanguage
    English
  • Journal_Title
    IEEE Expert
  • Publisher
    ieee
  • ISSN
    0885-9000
  • Type

    jour

  • DOI
    10.1109/64.464934
  • Filename
    464934
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=952484