• DocumentCode
    2555394
  • Title

    Strategy for aircraft sequencing based on artificial fish school algorithm

  • Author

    Fei, Wang ; Xiaohao, Xu ; Jing, Zhang

  • Author_Institution
    Coll. of Civil Aviation, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    861
  • Lastpage
    864
  • Abstract
    A hybrid algorithm is developed in this paper, which is based on artificial fish school algorithm (AFSA) and combined with GA and SA algorithm The new algorithm is used to solve aircraft landing sequence problem. Compared with some other intelligent algorithms, the algorithm is more efficient and practical.
  • Keywords
    aerospace computing; artificial intelligence; genetic algorithms; simulated annealing; aircraft landing sequence problem; aircraft sequencing strategy; artificial fish school algorithm; genetic algorithms; intelligent algorithms; Aircraft; Analytical models; Educational institutions; Marine animals; Performance analysis; AFSA; Air Traffic Flow Management; Aircraft Sequencing; GA; Terminal Area;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597436
  • Filename
    4597436
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2555394