• DocumentCode
    2835459
  • Title

    Min-max robust optimization for the Wounded Transfer Problem in large-scale emergencies

  • Author

    Ma, Xin ; Song, Yuantao ; Huang, Jun

  • Author_Institution
    Sch. of Math., Grad. Sch. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    901
  • Lastpage
    904
  • Abstract
    In this paper, we are interested in obtaining robust solutions to the Wounded Transfer Problem based on an absolute robustness criterion, in the background of large-scale emergencies such as typhoons, floods, earthquakes, droughts and so on. We firstly describe the related methodology, and then introduce a min-max robust multi-point transportation model with multi-type vehicles to minimize the maximum rescue time across all scenarios. Lastly, a computational experiment is provided to illustrate the effectiveness of this approach in the decision making of rescue activities in large-scale emergencies.
  • Keywords
    emergency services; minimax techniques; transportation; absolute robustness criterion; large-scale emergencies; maximum rescue time minimization; min-max robust optimization; multipoint transportation model; multitype vehicles; wounded transfer problem; Ant colony optimization; Decision making; Earthquake engineering; Floods; Large-scale systems; Robustness; Routing; Transportation; Uncertainty; Vehicles; Absolute Robustness; Large-scale Emergency; Robust Optimization; the Wounded Transfer Problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498096
  • Filename
    5498096