• DocumentCode
    1997273
  • Title

    Emergency resources scheduling model & algorithm

  • Author

    Chuanhua Zeng ; Yu Wu

  • Author_Institution
    Control & Safety Key Lab. of Sichuan Province, Xihua Univ., Chengdu, China
  • fYear
    2013
  • fDate
    3-4 Dec. 2013
  • Firstpage
    144
  • Lastpage
    148
  • Abstract
    A reasonable allocation of emergency resources can decrease the effect area of the disaster, help victims in time, and reduce the disaster loss. It plays an important role in the whole process. In view of the urgency of transportation, this paper regards transport vehicles, goods and demand points as a network. Based on time windows, it presents a scheduling model for emergency resources with the shortest transportation distance as its goal and the vehicle load, the biggest trip mileage, the latest arrival time etc. as constraint conditions. The feasible solution can be found through ant colony algorithm, and the global search ability can be improved by using genetic algorithm. At last an example solved by ant colony algorithm and genetic algorithm is given to show the validity.
  • Keywords
    ant colony optimisation; emergency management; emergency services; genetic algorithms; resource allocation; search problems; transportation; ant colony algorithm; emergency resource allocation; emergency resource scheduling algorithm; emergency resource scheduling model; genetic algorithm; global search ability; shortest transportation distance; transport vehicles; transportation urgency; trip mileage; vehicle load; Biological cells; Genetic algorithms; Joints; Load modeling; Materials; Vehicles; Allocation; Ant Colony Algorithm; Emergency Resources; Genetic Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2013 Fourth Global Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-2885-9
  • Type

    conf

  • DOI
    10.1109/GCIS.2013.29
  • Filename
    6805926