Optimize TOD placement using genetic algorithm

Namhoon Kim, Hong Gyoo Sohn, Doe Gyu Jeon, Hyo Seon Jang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages136-139
Number of pages4
ISBN (Electronic)9781479972043
DOIs
Publication statusPublished - 2014 Jan 23
Event3rd International Conference on Control, Automation and Information Sciences, ICCAIS 2014 - Gwangju, Korea, Republic of
Duration: 2014 Dec 22014 Dec 5

Publication series

Name2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014

Other

Other3rd International Conference on Control, Automation and Information Sciences, ICCAIS 2014
CountryKorea, Republic of
CityGwangju
Period14/12/214/12/5

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering

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    Kim, N., Sohn, H. G., Jeon, D. G., & Jang, H. S. (2014). Optimize TOD placement using genetic algorithm. In 2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014 (pp. 136-139). [7020545] (2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAIS.2014.7020545