• DocumentCode
    130073
  • Title

    A novel heuristic algorithm in field GIS-based emergency path finding

  • Author

    Danjv Lv ; Xinling Shi ; Baolei Li ; Qinhu Zhang ; Lian Gao ; Yufeng Zhang ; Junhua Zhang ; Danjv Lv ; Yan Zhang ; Xu Chen

  • Author_Institution
    Dept. of Electron. Eng., Yunnan Univ., Kunming, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    640
  • Lastpage
    643
  • Abstract
    A novel heuristic algorithm, multivariant optimization algorithm (MOA), in field geographic information system (GIS)-based emergency path finding is proposed in this paper The MOA algorithm featured with alternating global-local search iterations by multivariant search groups, global and local exploitation groups, is employed to find field emergency path by considering the time length weighted model which is determined by the analytical hierarchy process (AHP) covering impedance factors of the altitude, the slope and the aspect. The comparisons between the MOA and other two algorithms, the GA and PSO, implemented in a real GIS map show that the MOA in emergency path finding outperforms the GA or PSO in emergency path finding especially in multiple impedance factors.
  • Keywords
    analytic hierarchy process; emergency management; genetic algorithms; geographic information systems; particle swarm optimisation; search problems; AHP; GA; MOA algorithm; PSO; alternating global-local search iterations; analytical hierarchy process; field GIS-based emergency path finding; field geographic information system; genetic algorithm; global exploitation groups; heuristic algorithm; impedance factors; local exploitation groups; multivariant optimization algorithm; multivariant search groups; particle swarm optimization; time length weighted model; Geographic information systems; Heuristic algorithms; Impedance; Land surface; Optimization; Surface impedance; Vehicles; Analytical hierarchy process; GIS; Multivariant optimization algorithm; Path planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2014 IEEE International Conference on
  • Conference_Location
    Hailar
  • Type

    conf

  • DOI
    10.1109/ICInfA.2014.6932732
  • Filename
    6932732