• DocumentCode
    3407493
  • Title

    Research on Greedy Simulated Annealing Algorithm for irregular flight schedule recovery model

  • Author

    Qiang, Gao ; Xiao-wei, Tang ; Jin-fu, Zhu

  • Author_Institution
    Coll. of Civil Aviation, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1469
  • Lastpage
    1475
  • Abstract
    To release the severe influence caused by irregular flight, this article puts forward a new model and its optimization algorithm on basis of the existing model, the focus of which is to design greedy simulated annealing algorithm. The new algorithm, which integrates the characteristics of GRASP and simulated annealing algorithm, improves the efficiency of neighborhood selection and reduces the probability of falling into a local optimal solution. Example proves that this algorithm is able to solve large-scale irregular flight schedule recovery, with the time cost suitable to the outcome quality.
  • Keywords
    air traffic; greedy algorithms; simulated annealing; GRASP; greedy simulated annealing algorithm; irregular flight schedule recovery model; large-scale irregular flight schedule recovery; optimization algorithm; Aerospace simulation; Aircraft; Airports; Algorithm design and analysis; Delay; Forward contracts; Large-scale systems; Optimal scheduling; Scheduling algorithm; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408145
  • Filename
    5408145