DocumentCode :
240268
Title :
Optimize TOD placement using genetic algorithm
Author :
Namhoon Kim ; Hong-Gyoo Sohn ; Doe-Gyu Jeon ; Hyo-Seon Jang
Author_Institution :
Sch. of Civil & Environ. Eng., Yonsei Univ., Seoul, South Korea
fYear :
2014
fDate :
2-5 Dec. 2014
Firstpage :
136
Lastpage :
139
Abstract :
Geospatial information system (GIS) is widely used in military sides. As an example, penetration analysis is typical for GIS using in military side. In this paper, we apply GIS to analyze the optimized detector location. We use the thermal observation device (TOD), and select Daejeon city to perform this analysis. In this paper, we use DEM data and VITD data. We bring genetic algorithm in our procedure to fine a more effective and global solution. The locations of the rectangular coordinate point (i.e., x and y pixel coordinate) of TOD will be a gene, and a group of TOD locations will be a chromosome. We select the uniform crossover method to make next generation. Target function is composed with detected pixel number part and detection probability part. The research goal of this study is to find the location with the highest target function value. Result of the experiments provide optimized TOD placement.
Keywords :
digital elevation models; genetic algorithms; geographic information systems; military computing; sensor placement; DEM data; Daejeon city; GIS; TOD placement; VITD data; detection probability part; genetic algorithm; geospatial information system; optimized detector location; pixel number part detection; thermal observation device; uniform crossover method; warfare; Biological cells; Educational institutions; Electronic mail; Encoding; Genetic algorithms; Optimization; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Information Sciences (ICCAIS), 2014 International Conference on
Conference_Location :
Gwangju
Type :
conf
DOI :
10.1109/ICCAIS.2014.7020545
Filename :
7020545
Link To Document :
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