Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 179457, 3 pages
http://dx.doi.org/10.1155/2014/179457
Editorial

Intelligent Techniques for Simulation and Modelling

1School of Engineering and Technology, Central Queensland University, North Rockhampton, QLD 4702, Australia
2Center for Biometrics Research, Southern Polytechnic State University, Atlanta, GA 30060-2896, USA
3College of Computer Science and Information Technology, Northeast Normal University, Changchun, Jilin 130017, China
4School of Science, Information Technology and Engineering, Federation University, Ballarat, VIC 3353, Australia

Received 23 January 2014; Accepted 23 January 2014; Published 26 February 2014

Copyright © 2014 William Guo et al. 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. W. W. Guo, Advanced Mathematics for Engineering and Applied Sciences, ” Pearson, Melbourne, Australia, 2014.
  2. D. Bradford and C. C. Hung, “Pollen-based bee algorithm for data clustering-a computational model,” Progress in Intelligent Computing and Applications, vol. 1, no. 1, pp. 16–36, 2012. View at Publisher · View at Google Scholar
  3. T. Kohonen, Self-Organizing Maps, Springer, New York, NY, USA, 2001.
  4. R. Shepherd, T. Meuwissen, and J. Woolliams, “Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers,” BMC Bioinformatics, vol. 11, pp. 529–541, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. M. M. Li, W. Guo, B. Verma, K. Tickle, and J. O'Connor, “Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing,” Neural Computing and Applications, vol. 18, no. 5, pp. 423–430, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. C. C. Hung, S. Kulkarni, and B. C. Kuo, “A new weighted fuzzy C-means clustering algorithm for remotely sensed image classification,” IEEE Journal on Selected Topics in Signal Processing, vol. 5, no. 3, pp. 543–553, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. X.-S. Yang, Engineering Optimization, Wiley, New York, NY, USA, 2010.
  8. G. Dong, W. W. Guo, and K. Tickle, “Solving the traveling salesman problem using cooperative genetic ant systems,” Expert Systems with Applications, vol. 39, no. 5, pp. 5006–5011, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. E. K. P. Chong and S. H. Zak, An Introduction to Optimization (3rd Edition), Wiley, New York, NY, USA, 2008.
  10. F. Giordano, W. P. Fox, and S. Horton, A First Course in Mathematical Modeling (5th Edition), Cenerge Learning, Stamford, Conn, USA, 2014.