• DocumentCode
    2736609
  • Title

    Fuzzy model and optimization for airport gate assignment problem

  • Author

    Dong-xuan Wei ; Chang-you Liu

  • Author_Institution
    Civil Aviation Coll., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    828
  • Lastpage
    832
  • Abstract
    Gate assignment is an important decision making problem which involves multiple and conflict objectives in airport. In this paper, fuzzy model is proposed to handle two main objectives, minimizing the total walking distance for passengers and maximizing the robustness of assignment. The idle times of flight-to-gate are regarded as fuzzy variables, and whose membership degrees are used to express influence on robustness of assignment. Adjustment function on membership degree is introduced to transfer two objectives into one. Modified genetic algorithm is adopted to optimize the NP-hard problem. Finally, illustrative example is given to evaluate the performance of fuzzy model. Three distribution functions are tested, and comparison with the method of fixed buffer time is given. Simulation results demonstrate the feasibility and effectiveness of proposed fuzzy method.
  • Keywords
    fuzzy set theory; genetic algorithms; transportation; NP-hard problem; airport gate assignment problem; decision making problem; flight-to-gate; fuzzy model; modified genetic algorithm; Air transportation; Aircraft; Airports; Delay estimation; Distribution functions; Educational institutions; Genetic algorithms; Heuristic algorithms; Legged locomotion; Robustness; airport gate assignment; fuzzy optimization; genetic algorithms; multi-objective;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358268
  • Filename
    5358268