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

被引：0
|
作者：
Cai, Fei [1 ]
Cui, Jian [1 ]
机构：
[1] Shandong Jianzhu Univ, Coll Civil Engn, Jinan 250101, Shandong, Peoples R China
来源：
ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION, VOL 4: MODELLING AND SIMULATION IN BIOLOGY, ECOLOGY & ENVIRONMENT | 2010年
关键词：
GIS; Emergency rescue; Genetic algorithm; Optimal Path;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：244 / 248
页数：5
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