Skip to main content

Abstract

In the article the problem of design optimization maintenance schedule queue of applications is considered. The analysis of the main features of queuing systems is carried out. A modified evolutionary algorithm of plotting service applications is developed. The authors suggested a new approach on the basis of evolutionary algorithm integration and a fuzzy control model of algorithm parameters. A fuzzy logical controller structure is described in the article. To confirm the method effectiveness a brief program description is reviewed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Dshalalow, J.H. (ed.): Advances in Queueing Theory, Methods, and Open Problems (Probability and Stochastics Series). CRC Press (1995)

    Google Scholar 

  2. Asmussen, S. (ed): Applied Probability and Queues (Stochastic Modeling and Applied Probability Series Vol. 51). Springer (2010)

    Google Scholar 

  3. Gross, D., Shortle, J.F., Thompson, J.M., Harris, C.M.: Solutions Manual to Accompany Fundamentals of Queueing Theory, 4th edn. Wiley (2008)

    Google Scholar 

  4. Bhat, N.U.: An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology). Birkhäuser (2008)

    Google Scholar 

  5. Bose, S.K.: An Introduction to Queueing Systems (Network and Systems Management). Kluver Academic/Plenum Publisher, New York (2002)

    Google Scholar 

  6. Ng, C.-H., Boon-Hee, S.: Queueing Modelling Fundamentals: With Applications in Communication Networks, 2nd edn. Wiley (2008)

    Google Scholar 

  7. Gladkov, L.A., Kureychik, V.V., Kureychik, V.M.: Genetic Algorithms. Fizmatlit, Moscow (2010)

    Google Scholar 

  8. Herrera, F., Lozano, M.: Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions. Journal of Soft Computing, pp. 545–562. Springer-Verlag (2003)

    Google Scholar 

  9. Michael, A., Takagi, H.: Dynamic control of genetic algorithms using fuzzy logic techniques. In: Proceedings of the Fifth International Conference on Genetic Algorithms, pp. 76-83. Morgan Kaufmann (1993)

    Google Scholar 

  10. Batyrshin, I.Z., Nedosekin, S.A.: Fuzzy Hybrid Systems. Theory and Practice. Fizmatlit, Moscow (2007)

    Google Scholar 

  11. Gladkov, L., Gladkova, N., Leiba, S.: Manufactoring scheduling problem based on fuzzy genetic algorithm. In: Proceeding of IEEE East-West Design & Test Symposium—(EWDTS’2014), pp. 209–212, Kiev, Ukraine (2014)

    Google Scholar 

  12. Glagkov, L.A., Glagkova, N.V., Leiba, S.N.: Electronic computing equipment schemes elements placement based on hybrid intelligence approach. In: Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), Vol. 2: Software Engineering in Intelligent Systems, № 348, pp. 35–45

    Google Scholar 

Download references

Acknowledgment

This research is supported by grants of the Russian science foundation (project № 14-11-00242) in Southern Federal University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to L. A. Gladkov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Gladkov, L.A., Gladkova, N.V., Leiba, S.N. (2016). Hybrid Intelligent Approach to Solving the Problem of Service Data Queues. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 450. Springer, Cham. https://doi.org/10.1007/978-3-319-33609-1_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-33609-1_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33608-4

  • Online ISBN: 978-3-319-33609-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics