Open Access
Issue
ITM Web Conf.
Volume 9, 2017
The 2016 International Conference Applied Mathematics, Computational Science and Systems Engineering
Article Number 02003
Number of page(s) 5
Section Computational Science
DOI https://doi.org/10.1051/itmconf/20170902003
Published online 09 January 2017
  1. A.N. Vasilev, D.A. Tarhov, Parametric neural network models of building of regularization of identify problems solution in ecology. Contemporary information technologies and IT-education 1 (2014). [Google Scholar]
  2. D. Dasgupta, Artificial Immune Systems and their Application: collection of papers. M.: FIZMATLIT (2006). [Google Scholar]
  3. D. Dasgupta, S. Yua, F. Nino, Recent Advances in Artificial Immune Systems: Models and Applications. Appl. Soft Computing 11 (2011). [CrossRef] [Google Scholar]
  4. F. Freschi, M. Repetto, Multiobjective optimisation by a modified artificial immune system, Artificial Immune Systems (2005), 248–261. [CrossRef] [Google Scholar]
  5. N.X. Hoai, R.I. McKay, D. Essam, Solving the symbolic regression problem with tree-adjunct grammar guided genetic programming: the comparative results. Evolutionary Computation, CEC ‘02. Proceedings of the 2002 Congress 2 (200) 1326–1331. [Google Scholar]
  6. I. E. Hunt, D. E. Cooke. Learning using an artificial immune system. J. Network Comp. Appl. 19 (1996) 189–212. [CrossRef] [Google Scholar]
  7. A.A. Ishiguro, Y. Watanabe, T. Kondo, Robot with a decentralized consensus-making mechanism based on the immune system. Proceedings of ISADS (1997) 231–237. [Google Scholar]
  8. C.G. Johnson, Artificial immune systems programming for symbolic regression. Genetic Programming: 6th European Conference (2003) 345–353. [Google Scholar]
  9. J.O. Kephart, A biologically inspired immune system for computers. Proceedings of Artificial Life IV: The Fourth International Workshop on the Synthesis and Simulation of Living Systems (1994) 130–139. [Google Scholar]
  10. R.A. Schollmeier, Definition of peer-to-peer networking for the classification of peer-to-peer architectures and applications. Proceedings of the First International Conference on Peer-to-Peer Computing, IEEE (2001) 101–102. [Google Scholar]
  11. E. Hart, J. Timmis, Application areas of AIS: The past, the present and the future. Appl. Soft Computing 8 (2008) 191–201. [CrossRef] [Google Scholar]
  12. M. Bardeen, Survey of methods to prevent premature convergence in evolutionary algorithms. Workshop of Natural Computing, J. Chilenas de Computation (2013) 13–15. [Google Scholar]
  13. D. Barkai, Peer-to-Peer Computing. Santa Clara: Intel Press (2002). [Google Scholar]
  14. K. Bennett, M.C. Ferris, Y.E. Ioannidis, A genetic algorithm for database query optimization. Proceedings of the fourth International Conference on Genetic Algorithms (1991) 400–407. [Google Scholar]
  15. H. Bersini, The endogenous double plasticity of the immune network and the inspiration to be drawn for engineering artifacts. Artificial Immune Systems and Their Applications (1999) 22–44. [Google Scholar]
  16. I.F. Astakhova, S.A. Ushakov, Ju.V. Hitskova, Model and algorithm of an artificial immune systems for the recognition of single symbols and their comparison with existing methods. WSEAS Trans. on Information Science and Applications 13 (2016) 38–45. [Google Scholar]
  17. J.R. Koza, Genetic Programming. Cambridge: MIT Press (1998). — 220 p. [Google Scholar]
  18. W.B. Langdon, R. Poli, Foundations of Genetic Programming, Heidelberg: Springer-Verlag (2002). [Google Scholar]

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