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
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;
Conference_Titel :
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location :
Hailar
DOI :
10.1109/ICInfA.2014.6932732