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Optimal Path Planning in Emergency Rescue Based on GIS and Improved Genetic Algorithm

机译:基于GIS和改进遗传算法的应急救援最优路径规划。

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To meet the requirements of urban emergency rescue, this paper presents in detail the optimal path planning in emergency rescue based on GIS and improved genetic algorithm. Spatial data and attribute data are acquired with GIS technology, optimal path is solved with improved genetic algorithm, and a great number of invalid paths and the phenomenon of "prematurity" generated in the implementation of conventional genetic algorithm are avoided. Experiments showed that the optimal path planning with improved genetic algorithm can improve the algorithm efficiency and provide effective services in emergency rescue.
机译:为满足城市应急救援的需求,本文详细介绍了基于GIS和改进遗传算法的应急救援最优路径规划。利用GIS技术获取空间数据和属性数据,采用改进的遗传算法求解最优路径,避免了许多无效路径,避免了传统遗传算法在实现过程中产生的“过早”现象。实验表明,改进遗传算法的最优路径规划可以提高算法效率,为紧急救援提供有效的服务。

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