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

机译:基于现场GIS的应急路径寻找中的一种新的启发式算法

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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.
机译:本文提出了一种新颖的启发式算法,即基于地理地理信息系统(GIS)的紧急路径查找中的多元优化算法(MOA)。该MOA算法具有通过多元搜索组,全局和局部利用而交替进行的全局-局部搜索迭代的功能通过考虑时间长度加权模型来确定野外应急路径,该模型是由层次分析法(AHP)确定的,该模型涵盖了海拔,坡度和坡向的阻抗因子。在真实GIS地图中实现的MOA与其他两种算法GA和PSO之间的比较表明,紧急路径查找中的MOA优于紧急路径查找中的GA或PSO,尤其是在多个阻抗因素中。

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