About this Journal Submit a Manuscript Table of Contents
Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 687969, 14 pages
http://dx.doi.org/10.1155/2013/687969
Research Article

Escape-Route Planning of Underground Coal Mine Based on Improved Ant Algorithm

School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China

Received 2 October 2012; Revised 1 December 2012; Accepted 4 December 2012

Academic Editor: Baozhen Yao

Copyright © 2013 Guangwei Yan and Dandan Feng. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. Yun, “Current safety situation analysis in china,” China's Development Observer, vol. 1, no. 3, pp. 33–37, 2005.
  2. State Administration of Work Safety, “The national production safety supervision and administration bureau dispatching statistics 2006–2008,” pp. 40–41, 2009.
  3. L. Shuling, “The confirmation of the best route for evading accident under the pit,” Journal of LiaoNing Technical University, vol. 18, no. 1, pp. 27–29, 1999.
  4. S. Jia, S. Diange, and J. Zhong’an, “The improvement of Dijkstra algorithm used for choosing the best escape route in mine's emergency response,” China Mining Magazine, vol. 14, no. 6, pp. 46–48, 2005.
  5. H. Yunbing, X. Xing, Y. Xu, et al., “Improved shortest path algorithm based on mine geographic network model,” Coal Science and Technology, vol. 39, no. 2, pp. 103–105, 2011.
  6. Y. Wanqing, D. heng, and H. Jiejun, “Mine safety relief system based on the improved Dijkstra algorithm,” Mining Safety & Environmental Protection, vol. 35, no. 3, pp. 40–44, 2008.
  7. S. E. Jalali and M. Noroozi, “Determination of the optimal escape routes of underground mine networks in emergency cases,” Safety Science, vol. 47, no. 8, pp. 1077–1082, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Dorigo, V. Maniezzo, and A. Colorni, “Ant system: optimization by a colony of cooperating agents,” IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 26, no. 1, pp. 29–41, 1996. View at Publisher · View at Google Scholar · View at Scopus
  9. D. Jiping, Mining, Chinese Mining University Press, 2009.
  10. W. Deming, “Selecting the optimum escape routes by a computer during a mine fire,” Journal of China University of Mining & Technology, vol. 23, no. 3, pp. 27–32, 1994.
  11. Y. Liao, Fluid Mechanics, China Railway, Beijing, China, 1987.
  12. Z. Yunming, “Study on safe evacuation with performance-based analytical method in public gathering place,” Journal of Safety Science and Technology, vol. 7, no. 10, pp. 70–74, 2011.
  13. P. Thompson and E. Marehant, “A computer model for the evacuation of large building populations,” Fire Safety Journal, vol. 24, no. 2, pp. 131–148, 1995. View at Publisher · View at Google Scholar
  14. T. Stützle and H. H. Hoos, “Max–Min Ant system,” Future Generation Computer Systems, vol. 16, no. 8, pp. 889–914, 2000. View at Publisher · View at Google Scholar · View at Scopus