• DocumentCode
    233384
  • Title

    A bi-objective optimization problem about rescue route during disaster time

  • Author

    Wen-mei Gai ; Yun-feng Deng ; Jing Li ; Yan Du ; Fang-qi Ye

  • Author_Institution
    Sch. of Civil & Environ. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    8906
  • Lastpage
    8910
  • Abstract
    Based on the theories and methods of operations research, a mathematical model for the shortest rescue route during disaster emergencies is built in this paper, which contains two weights of rescue route optimization. An approximate search algorithm with two optimization objectives is proposed for the model based on heuristic algorithm, which could find out the shortest escape route from the double-weight escape route network by constructing auxiliary functions. Along with the study case of mine fire emergency rescue system of the Dongpang coal mine, the algorithm procedures are introduced, and the strengths of the algorithm are discussed. By this algorithm, decision makers can find out the optimum rescue route on the distribution sketch map of the Dongpang coal mine, thus realizing the two optimizing targets, and providing strong technical support for disaster emergencies.
  • Keywords
    emergency management; optimisation; search problems; Dongpang coal mine; approximate search algorithm; auxiliary functions; bi-objective optimization problem; decision makers; disaster emergency; disaster time; distribution sketch map; double-weight escape route network; heuristic algorithm; mathematical model; mine fire emergency rescue system; optimum rescue route; shortest escape route; shortest rescue route optimization; Accidents; Approximation algorithms; Heuristic algorithms; Mathematical model; Optimization; Safety; Time complexity; Bi-objective optimization function; algorithm; mathematical model; rescue route;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896499
  • Filename
    6896499