Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 164932, 6 pages
http://dx.doi.org/10.1155/2014/164932
Research Article

Two-Parameter Inversion of Fluid-Saturated Porous Medium with Niche Ant Colony Algorithm

Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong 518055, China

Received 6 November 2013; Accepted 2 December 2013; Published 9 January 2014

Academic Editor: Manuel Ruiz Galan

Copyright © 2014 Xin-Ming Zhang and Li-Rong Wang. 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. M. A. Biot, “Theory of propagation of elastic waves in a fluid-saturated porous solid, Low-frequency range,” Journal of the Acoustical Society of America, vol. 28, pp. 168–178, 1956. View at Google Scholar
  2. M. A. Biot, “Theory of propagation of elastic waves in a fluid-saturated porous solid, Higher-frequency range,” Journal of the Acoustical Society of America, vol. 28, pp. 179–191, 1956. View at Google Scholar
  3. A. Colorni, M. Dorigo, and V. Maniezzo, “Distributed optimization by ant colonies,” in Proceedings of the 1st EuroPean Conference on Artificial Life, pp. 134–142, 1991.
  4. G. A. Bilchev and I. C. Parmee, “The ant colony metaphor for searching continuous spaces,” Lecture Notes in Computer Science, vol. 993, pp. 25–39, 1995. View at Google Scholar
  5. Y. J. Li and T. J. Wu, “Adaptive ant colony system algorithm for continuous-space optimization problems,” Pattern Recognition and Artificial Intelligence, vol. 14, no. 4, pp. 423–427, 2001. View at Google Scholar · View at Scopus
  6. L. Chen, J. Shen, and L. Qin, “Method for solving optimization problem in continuous space using ant colony algorithm,” System Engineering Theory and Practice, vol. 23, no. 3, pp. 48–53, 2003. View at Google Scholar · View at Scopus
  7. J. Dréo and P. Siarry, “Continuous interacting ant colony algorithm based on dense heterarchy,” Future Generation Computer Systems, vol. 20, no. 5, pp. 841–856, 2004. View at Publisher · View at Google Scholar · View at Scopus
  8. J. Dréo and P. Siarry, “An ant colony algorithm aimed at dynamic continuous optimization,” Applied Mathematics and Computation, vol. 181, no. 1, pp. 457–467, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. Y. Chen, “Ant colony system for continuous function optimization,” Journal of Sichuan University, vol. 36, pp. 117–120, 2004. View at Google Scholar
  10. Y.-D. Zhang and S.-B. Huang, “Ant colony algorithm for solving multiobjective optimization problems,” Control and Decision, vol. 20, no. 2, pp. 170–178, 2005. View at Google Scholar · View at Scopus
  11. S. W. Mahfoud, “Crowding and preselection revisited,” in Parallel Problem Solving From Nature 2 (PPSN2), R. Männer and B. Manderick, Eds., pp. 27–36, North-Holland, Amsterdam, The Netherlands, 1992. View at Google Scholar
  12. D. E. Goldberg and J. Richardson, “Genetic algorithms with sharing for multi-model function optimization,” in Proceedings of the 2nd Conference on Genetic Algorithms, pp. 41–47, Lawrence Erlbaum Associates, Hillsdale, NJ, USA, 1987.
  13. A. Petrowski, “Clearing procedure as a niching method for genetic algorithms,” in Proceedings of the IEEE International Conference on Evolutionary Computation (ICEC '96), pp. 798–803, IEEE, Los Alamitos, Calif, USA, May 1996. View at Scopus
  14. F. Streichert, G. Stein, H. Ulmer, and A. Zell, “A clustering based niching EA for multimodal search spaces,” in Proceedings of the International Conference Evolution Artificielle, vol. 2936 of Lecture Notes in Computer Science, pp. 293–304, Springer, 2003.
  15. B. L. Miller and M. J. Shaw, “Genetic algorithms with dynamic niche sharing for multimodal function optimization,” in Proceedings of the IEEE International Conference on Evolutionary Computation (ICEC '96), IlliGAL Report No. 95010, pp. 786–791, IEEE Press, Piscataway, NJ, USA, May 1996. View at Scopus
  16. B. Sareni and L. Krähenbühl, “Fitness sharing and niching methods revisited,” IEEE Transactions on Evolutionary Computation, vol. 2, no. 3, pp. 97–106, 1998. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Della Cioppa, C. De Stefano, and A. Marcelli, “On the role of population size and niche radius in fitness sharing,” IEEE Transactions on Evolutionary Computation, vol. 8, no. 6, pp. 580–592, 2004. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Angus, “Niching for population-based ant colony optimization,” in Proceedings of the 2nd International IEEE Conference on e-Science and Grid Computing, Workshop on Biologically-inspired Optimisation Methods for Parallel and Distributed Architectures: Algorithms, Systems and Applications, 2006.
  19. D. Angus, “Crowding population-based ant colony optimisation for the multi-objective travelling salesman problem,” in Proceedings of the 1st IEEE Symposium of Computational Intelligence in Multicriteria Decision Making (MCDM '07), pp. 333–340, IEEE, Piscataway, NJ, USA, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  20. B. R. Simon, O. C. Zienkiewicz, and D. K. Paul, “An analytical solution for the transient response of saturated porous elastic solids,” International Journal for Numerical and Analytical Methods in Geomechanics, vol. 8, no. 4, pp. 381–398, 1984. View at Google Scholar · View at Scopus
  21. J. Grinnell, “The niche relationship of the california thrasher,” Auk, vol. 34, pp. 427–433, 1917. View at Google Scholar
  22. G. E. Hutchinson, “Concluding remarks, cold spring harbor symposium,” Quantitative Biology, vol. 22, pp. 415–427, 1957. View at Google Scholar
  23. D. H. Yang and X. H. Chen, “BISQ model for fluid-filled, porous medium,” Oil Geophysical Prospecting, vol. 36, no. 2, pp. 146–159, 2001. View at Google Scholar · View at Scopus