@inproceedings{b4980974fb67407a9fdd9321f49ca989,
title = "Research on the location of fire station based on GIS and GA",
abstract = "To locate the fire station under a prescribed period is of strategic significance in the urban fire planning. On the .Net platform, integrate the Genetic Algorithm and Geographic Information System (GIS) via the C# language to resolve the complicated issue of the spatial site selection. The GIS spatial data will be imported to the module first. Then on the basis of both the spatial analysis feature and the network analysis feature of GIS, calculate the individual's fitness in the process of the genetic evolution. The Conventional coding approach is generally utilized to optimize the small-scale data set. However, to meet the search requirements in the massive spatial data of GIS, the object oriented coding approach is designed in the module. It is indicated that the entire module is able to resolve the site selection issue of the urban fire station properly, which meets the quick response's requirements.",
keywords = "Fire station, GIS, Genetic Algorithm, Geographic Information System, Site selection",
author = "Wei Zhang and Juncheng Jiang",
year = "2012",
doi = "10.4028/www.scientific.net/AMM.130-134.377",
language = "英语",
isbn = "9783037852866",
series = "Applied Mechanics and Materials",
pages = "377--380",
booktitle = "Mechanical and Electronics Engineering III",
note = "2011 3rd International Conference on Mechanical and Electronics Engineering, ICMEE 2011 ; Conference date: 23-09-2011 Through 25-09-2011",
}