• DocumentCode
    2997568
  • Title

    A new methodology for applying simulation driven metaheuristics to the balancing of security inspection lines

  • Author

    Saetta, Stefano ; Tiacci, Lorenzo

  • Author_Institution
    Dipt. di Ingegneria Industriale, Universita di Perugia, Italy
  • fYear
    2005
  • fDate
    4-7 Dec. 2005
  • Abstract
    In the paper author show a new approach to the line balancing of security inspection lines. In this approach there is a particular combination of simulation of metaheuristics and modeling and simulation. Simulation is used directly during the metaheuristics process for evaluating the objective function. In this manner it is possible to obtain more effective objective function. This process can be quite fast in many situations where simulation calculation can be done very effectively. In particular simulation is used for the computation of the objective function. In particular in the paper a tabu search based algorithm is considered. The application concerns a problem of line balancing. Same algorithm is applied to a conventional objective function in order to show benefits of the new approach.
  • Keywords
    inspection; search problems; security; line balancing; objective function; security inspection lines; simulation driven metaheuristics; tabu search; Airports; Assembly; Computational modeling; Genetic algorithms; Inspection; Security; Simulated annealing; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2005 Proceedings of the Winter
  • Print_ISBN
    0-7803-9519-0
  • Type

    conf

  • DOI
    10.1109/WSC.2005.1574281
  • Filename
    1574281