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Title: A web-GIS based integrated optimum location assessment tool for gas station using genetic algorithms
Authors: Rahmadya Trias Handayanto, Anita Setyowati Srie Gunarti, Seta Samsiana, Herlawati
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 3
Language: English
Spatial analysis makes Geographic Information System (GIS) more interesting as it supports the user for making a decision not only by seeing the location but also by counting using some algorithms or statistical methods. We have tried to couple Genetic Algorithm with our GIS in searching the best location of Gas Station in Bekasi district, Indonesia. The location must have minimum risk to other important facilities or environment based on their locations. Testing result showed that the system was able to find optimum location and sending it to our database as a Web-GIS data input after converting from local coordinate into latitude and longitude coordinate system.
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