• DocumentCode
    1634397
  • Title

    A multi criteria meta-heuristic approach to nurse rostering

  • Author

    Burke, Edmund K. ; De Causmaecker, Patrick ; Petrovic, Sanja ; Berghe, Greet Vanden

  • Author_Institution
    Sch. of Comput. Sci. & IT, Nottingham Univ., UK
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1197
  • Lastpage
    1202
  • Abstract
    Users of hospital personnel planning software cope with the complex task of translating their needs into several constraints of a very different nature and with differing cost parameters. We present a multi criteria evolutionary approach, which overcomes some of the practical difficulties that personnel schedulers in hospitals often face
  • Keywords
    evolutionary computation; medical information systems; operations research; personnel; evolutionary approach; hospital personnel planning software cost parameters; multicriteria meta-heuristic approach; nurse rostering; Computer science; Costs; Expert systems; Genetic algorithms; Hospitals; Information technology; Medical services; Personnel; Qualifications; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004413
  • Filename
    1004413