• DocumentCode
    2033809
  • Title

    A PSO algorithm to solve a real anaesthesiology nurse scheduling problem

  • Author

    Altamirano, Leopoldo ; Riff, Maria-Cristina ; Trilling, Lorraine

  • Author_Institution
    Comput. Sci. Dept., Univ. Tec. Federico Santa Maria, Valparaíso, Chile
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    139
  • Lastpage
    144
  • Abstract
    In this paper we present an approach especially designed to solve the real world problem of Anesthesiology Nurse Scheduling (ANSP) at a French public hospital, where the anesthesiology nurses are one of the most shared resources. We propose a Particle Swarm Optimization algorithm to solve the ANSP. We compare our technique with previous results obtained using Integer Programming and Constraint Programming. The objective is the same for all methods: to maximize fairness of the schedule.
  • Keywords
    constraint handling; health care; hospitals; integer programming; particle swarm optimisation; scheduling; French public hospital; PSO algorithm; constraint programming; integer programming; real anaesthesiology nurse scheduling problem; Job shop scheduling; Processor scheduling; Programming; Schedules; Sun; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-7897-2
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2010.5685868
  • Filename
    5685868
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2033809