As of August 2024, International Journal "Notes on Intuitionistic Fuzzy Sets" is being indexed in Scopus.
Please check our Instructions to Authors and send your manuscripts to nifs.journal@gmail.com. Next issue: September/October 2024.

Open Call for Papers: International Workshop on Intuitionistic Fuzzy Sets • 13 December 2024 • Banska Bystrica, Slovakia/ online (hybrid mode).
Deadline for submissions: 16 November 2024.

Issue:Generalized net model of intuitionistic fuzzy logic control of genetic algorithm parameters

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
(Redirected from Issue:Nifs/19/2/71-76)
Jump to navigation Jump to search
shortcut
http://ifigenia.org/wiki/issue:nifs/19/2/71-76
Title of paper: Generalized net model of intuitionistic fuzzy logic control of genetic algorithm parameters
Author(s):
Olympia Roeva
Bioinformatics and Mathematical Modelling Department, IBPhBME - Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., block 105, Sofia 1113, Bulgaria
olympia@biomed.bas.bg
Alžbeta Michalíková
Faculty of Natural Sciences, Matej Bel University, 40 Tajovského Str., SK–974 01 Banská Bystrica, Slovakia
Alzbeta.Michalikova@umb.sk
Presented at: 9th International Workshop on Intuitionistic Fuzzy Sets, 8 October 2013, Banská Bystrica, Slovakia
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 19, 2013, Number 2, pages 71-76
Download:  PDF (124  Kb, File info)
Abstract: In this paper a Generalized Net (GN) model of Intuitionistic fuzzy logic (IFL) control of two Genetic Algorithm (GA) parameters, is proposed. IFL controller is used to tune dynamically GA parameters – crossover and mutation probability. The GN-model describes the process of GA parameters control, trying to improve the algorithm performance.
Keywords: Generalized Net, Intuitionistic fuzzy logic, Parameters control, Genetic algorithm.
AMS Classification: 03E72,65Q85, 68T20.
References:
  1. Akram, M., S. Shahzad, A. Butt, A. Khaliq. Intuitionistic Fuzzy Logic Control for Heater Fans, Mathematics in Computer Science, Vol. 7, 2013, No. 3, 367–378.
  2. Aladjov, H., K. Atanassov. A Generalized Net for Genetic Algorithms Learning, Proceedings of the XXX Spring Conf. of the Union of Bulgarian Mathematicians, Borovets, 2001, 242–249.
  3. Atanassov, K., H. Aladjov. Generalized Nets in Artificial Intelligence. Volume 2: Generalized Nets and Machine Learning, Prof. M. Drinov Academic Publishing House, Sofia, 2000.
  4. Atanassov, K. Intuitionistic fuzzy sets, Fuzzy Set and Systems, Vol. 20, 1986, No. 1, 87–96.
  5. Atanassov, K. Intuitionistic Fuzzy Sets: Theory and Applications, Springer, Heidelberg, 1999.
  6. Atanassov, K. On Intuitionistic Fuzzy Sets Theory, Springer Physica-Verlag, Berlin, 2012.
  7. Atanassov, K. Generalized Nets. World Scientific, Singapore, 1991.
  8. Cicirello, V. A., S. F. Smith. Modeling GA Performance for Control Parameter Optimization, Proc. of the Genetic and Evolutionary Computation Conference(D. Whitley, D. Goldberg, E. Cantu-Paz, L. Spector, I. Parmee, H. Beyer, Eds.), Morgan Kaufmann Publishers, Las Vegas, 2000, 235–242.
  9. Eiben, A. E., R. Hinterding, Z. Michalewicz. Parameter Control in Evolutionary algorithms. IEEE Transactions on Evolutionary Computation, Vol.3, 1999, No. 2, 124–141.
  10. Goldberg, D. Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publishing Company, Massachusetts, 1989.
  11. Herrera, F., M. Lozano. Fuzzy Adaptive Genetic Algorithms: Design, Taxonomy, and Future Directions, Soft Computing, Vol. 7, 2003, 545–562.
  12. Holland, J., Adaptation in Natural and Artificial Systems, MIT Press, 1975.
  13. Liu, H., Z. Xu, A. Abraham, Hybrid Fuzzy-Genetic Algorithm Approach for Crew Grouping, Proc. of the 5th International Conference on Intelligent Systems Design and Applications, 2005, 332–337, doi: 10.1109/ISDA.2005.51.
  14. Pencheva, T., O. Roeva, A. Shannon, Generalized net models of crossover operators in genetic algorithms, Proc. of the 9th International Workshop on Generalized Nets, Sofia, 2008, 2, 64–70.
  15. Prieto, J. A. F., J. R. V. Pérez. Adaptive Genetic Algorithm Control Parameter Optimization to Verify the Network Protocol Performance, Proc. of IPMU'08(L. Magdalena, M. Ojeda-Aciego, J. L. Verdegay, Eds.), June 22–27, 2008, 785–791.
  16. Roeva, O., A. Shannon. A generalized net model of a mutation operator for the breeder genetic algorithm, Proc. of the Ninth International Workshop on Generalized Nets, Sofia, 2008, 2, 59–63.
  17. Subbu, R., P. Bonissone. A Retrospective View of Fuzzy Control of Evolutionary Algorithm Resources, Proc. of the IEEE Conference on Fuzzy Systems, May 25–28, 2003, St. Louis, USA.
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.