• DocumentCode
    534882
  • Title

    Multi-car elevator system using Genetic Network Programming for high-rise building

  • Author

    Yu, Lu ; Mabu, Shingo ; Hirasawa, Kotaro

  • Author_Institution
    Grad. Sch. of Inf., Waseda Univ., Fukuoka, Japan
  • fYear
    2010
  • fDate
    10-13 Oct. 2010
  • Firstpage
    1216
  • Lastpage
    1222
  • Abstract
    The multi-car elevators consist of plural cars in a single elevator shaft. It makes the improvement in handling capacity, while allowing the reduction of the space occupied in the building. At present, lots of buildings with more than 40 floors are being built, which are usually divided into several zones served by local elevator groups. The cars should be operated at equal time intervals, especially in such a building with multi-car elevator systems (MCES) in order to obtain its good performance. In this paper, Genetic Network Programming (GNP) has been applied to MCES in high-rise buildings. The performances are shown by simulations.
  • Keywords
    genetic algorithms; lifts; elevator shaft; genetic network programming; high-rise building; multi-car elevator system; Economic indicators; IEEE Journals and Transactions On-LINE - OpeRA; Genetic Network Programming; bunching; high-rise building; multi-car elevator system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-6586-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2010.5642411
  • Filename
    5642411