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