한국측량학회지 (Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography)

  • 제34권6호
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  • Pages.547-557
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  • 2016
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  • 1598-4850(pISSN)
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  • 2288-260X(eISSN)
한국측량학회 (Korean Society of Surveying, Geodesy, Photogrammetry and Cartography)
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A Genetic Algorithm to Solve the Optimum Location Problem for Surveillance Sensors

  • Kim, NamHoon (Department of Civil and Environmental Engineering, Yonsei University) ;
  • Kim, Sang-Pil (Department of Civil and Environmental Engineering, Yonsei University) ;
  • Kim, Mi-Kyeong (Department of Civil and Environmental Engineering, Yonsei University) ;
  • Sohn, Hong-Gyoo (Department of Civil and Environmental Engineering, Yonsei University)
  • 투고 : 2016.07.29
  • 심사 : 2016.10.11
  • 발행 : 2016.12.31
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초록

Due to threats caused by social disasters, operating surveillance devices are essential for social safety. CCTV, infrared cameras and other surveillance equipment are used to observe threats. This research proposes a method for searching for the optimum location of surveillance sensors. A GA (Genetic Algorithm) was used, since this algorithm is one of the most reasonable and efficient methods for solving complex non-linear problems. The sensor specifications, a DEM (Digital Elevation Model) and VITD (Vector Product Interim Terrain Data) maps were used for input data. We designed a chromosome using the sensor pixel location, and used elitism selection and uniform crossover for searching final solution. A fitness function was derived by the number of detected pixels on the borderline and the sum of the detection probability in the surveillance zone. The results of a 5-sensor and a 10-sensor were compared and analyzed.

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참고문헌

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피인용 문헌

  1. 유전자 알고리즘과 네트워크 분석을 활용한 민방위 대피시설 위치 선정 vol.36, pp.6, 2016, https://doi.org/10.7848/ksgpc.2018.36.6.573