Submit your research to the International Journal "Notes on Intuitionistic Fuzzy Sets". Contact us at nifs.journal@gmail.com

Call for Papers for the 25th Jubilee Edition of the International Conference on Intuitionistic Fuzzy Sets is now open!
Conference: 9–10 September 2022 • Deadline for submission: 30 May 2022.

Issue:Modelling of a stochastic universal sampling selection operator in genetic algorithms using generalized nets

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Jump to navigation Jump to search
shortcut
http://ifigenia.org/wiki/issue:iwgn-2009-01-07
Title of paper: Modelling of a stochastic universal sampling selection operator in genetic algorithms using generalized nets
Author(s):
Tania Pencheva
Centre of Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
tania.pencheva@clbme.bas.bg
Krassimir Atanassov
Centre of Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
krat@bas.bg
Anthony Shannon
Warrane College, University of New South Wales, Kensington, 1465, Australia
t.shannon@warrane.unsw.edu.au
Presented at: 10th IWGN, Sofia, 5 December 2009
Published in: Conference proceedings, pages 1—7
Download: Download-icon.png PDF (209  Kb, Info)
Abstract: The apparatus of Generalized Nets (GNs) is applied here to a description of a selection operator, which is one of the basic genetic algorithm operators. The GN model presented here describes one of the most widely used selection algorithms in current GA, namely stochastic universal sampling. The resulting GN model could be considered as a separate module, but can also be accumulated into a GN model to describe a whole genetic algorithm.
Keywords: Generalized nets, Genetic algorithms, Selection, Stochastic universal sampling
References:
  1. Aladjov H., K. Atanassov, A generalized net for genetic algorithms learning, Proceedings of the XXX Spring Conference of the Union of Bulgarian Mathematicians, Borovets, Bulgaria, April 8-11, 2001, 242-248.
  2. Atanassov, K., Generalized Nets, World Scientific, Singapore, New Jersey, London, 1991.
  3. Atanassov, K., H. Aladjov. Generalized Nets in Artificial Intelligence. Vol.2: Generalized Nets and Machine Learning. “Prof. M. Drinov” Academic Publishing House, Sofia, 2001.
  4. Baker J., Reducing Bias and Inefficiency in the Selection Algorithm, Proceedings of the Second International Conference on Genetic Algorithms and their Application, Hillsdale, New Jersey, 1987, 14-21.
  5. Bies R., M. Muldoon, B. Pollock, S. Manuck, G. Smith, M. Sale, A Genetic Algorithm-based, Hybrid Machine Learning Approach to Model Selection, Journal of Pharmacokinetics and Pharmacodynamics, 2006, 196-221.
  6. Chipperfield A., P. J. Fleming, H. Pohlheim, C. M. Fonseca, Genetic Algorithm Toolbox for Use with MATLAB, 1993.
  7. Davis L., Handbook of Genetic Algorithms, Van Nostrand Reinhold, 1991.
  8. Fogel D., Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, IEEE Press, NJ, Third Edition, 2006.
  9. Goldberg D. E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, 1989.
  10. Houck C., J. Joines, M. Kay, A Genetic Algorithm for Function Optimization: A Matlab Implementation, NCSU-IE TR 95-05, 1995
  11. MathWorks, Genetic Algorithm Toolbox User’s Guide for MATLAB.
  12. Pencheva T., K. Atanassov, A. Shannon, Modelling of a Roulette Wheel Selection Operator in Genetic Algorithms Using Generalized Nets, Bioautomation, 2009, 13(4), 257-264.
  13. Pencheva T., O. Roeva, A. Shannon, Generalized net models of crossover operators in genetic algorithms, Proceedings of Ninth International Workshop on Generalized Nets, Sofia, Bulgaria, July 4, 2008, 2, 64-70.
  14. Roeva O., A. Shannon, A generalized net model of a mutation operator for the breeder genetic algorithm, Proceedings of Ninth International Workshop on Generalized Nets, Sofia, Bulgaria, July 4, 2008, 2, 59-63.
  15. Roeva О., K. Atanassov, A. Shannon, Issue:Generalized net for selection оf genetic algorithm operators, Annual of “Informatics” Section, Union of Scientists in Bulgaria, 2008, 1, 117-126.
  16. Roeva, O., K. Atanassov, A. Shannon, Generalized net for evaluation of the genetic algorithm fitness function, Proceedings of the Eighth International Workshop on Generalized Nets, Sofia, Bulgaria, June 26, 2007, 48-55.
  17. Zalzala A. M. S., P. J. Fleming (Eds.), Genetic Algorithms in Engineering Systems, Institution of Electrical Engineers, London, 1997.
Citations:

The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.