Skip to main content
SpringerLink
Log in

Comparing Boundary Control Methods for Firefly Algorithm

  • Conference paper
  • First Online:
Book cover Bioinspired Optimization Methods and Their Applications (BIOMA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10835))

Included in the following conference series:

Abstract

This paper compares four different methods for handling the roaming behavior of fireflies in the firefly algorithm. The problems of boundary constrained optimization forces the algorithm to actively keep the fireflies inside the feasible area of possible solutions. The recent CEC’17 benchmark suite is used for the performance comparison of the methods and the results are compared and tested for statistical significance.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Yang, X.S.: Algorithms N.I.M., pp. 242–246. Luniver Press, Beckington (2008)

    Google Scholar 

  2. Yang, X.-S.: Firefly algorithms for multimodal optimization. In: Watanabe, O., Zeugmann, T. (eds.) SAGA 2009. LNCS, vol. 5792, pp. 169–178. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04944-6_14

    Chapter  Google Scholar 

  3. Oosumi, R., Tamura, K., Yasuda, K.: Novel single-objective optimization problem and firefly algorithm-based optimization method. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 001011–001015. IEEE (2016)

    Google Scholar 

  4. Yang, X.S.: Multiobjective firefly algorithm for continuous optimization. Eng. Comput. 29(2), 175–184 (2013)

    Article  Google Scholar 

  5. Yang, X.S.: Firefly algorithm, lévy flights and global optimization. In: Bramer, M., Ellis, R., Petridis, M. (eds.) Research and Development in Intelligent Systems XXVI, pp. 209–218. Springer, London (2010). https://doi.org/10.1007/978-1-84882-983-1_15

    Chapter  Google Scholar 

  6. dos Santos Coelho, L., Mariani, V.C.: Firefly algorithm approach based on chaotic tinkerbell map applied to multivariable PID controller tuning. Comput. Math. Appl. 64(8), 2371–2382 (2012)

    Article  MathSciNet  Google Scholar 

  7. Helwig, S., Branke, J., Mostaghim, S.: Experimental analysis of bound handling techniques in particle swarm optimization. IEEE Trans. Evol. Comput. 17(2), 259–271 (2013)

    Article  Google Scholar 

  8. Kadavy, T., Pluhacek, M., Viktorin, A., Senkerik, R.: Comparing border strategies for roaming particles on single and multi-swarm PSO. In: Silhavy, R., Senkerik, R., Kominkova Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds.) CSOC 2017. AISC, vol. 573, pp. 528–536. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57261-1_52

    Chapter  Google Scholar 

  9. Awad, N., Ali, M., Liang, J., Qu, B., Suganthan, P.: Problem definitions and evaluation criteria for the CEC 2017 special session and competition on single objective bound constrained real-parameter numerical optimization. Technical Report. NTU, Singapore (2016)

    Google Scholar 

  10. Kadavy, T., Pluhacek, M., Viktorin, A., Senkerik, R.: Hypersphere universe boundary method comparison on HCLPSO and PSO. In: Martínez de Pisón, F.J., Urraca, R., Quintián, H., Corchado, E. (eds.) HAIS 2017. LNCS (LNAI), vol. 10334, pp. 173–182. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59650-1_15

    Chapter  Google Scholar 

  11. Barthelemy, P., Bertolotti, J., Wiersma, D.S.: A lévy flight for light. Nature 453(7194), 495 (2008)

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014), further by the European Regional Development Fund under the Project CEBIA-Tech no. CZ.1.05/2.1.00/03.0089 and by Internal Grant Agency of Tomas Bata University under the Projects no. IGA/CebiaTech/2018/003. This work is also based upon support by COST (European Cooperation in Science & Technology) under Action CA15140, Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO), and Action IC406, High-Performance Modelling and Simulation for Big Data Applications (cHiPSet).

Author information

Authors and Affiliations

  1. Tomas Bata University in Zlin, T. G. Masaryka 5555, Zlin, Czech Republic

    Tomas Kadavy, Michal Pluhacek, Adam Viktorin & Roman Senkerik

Authors
  1. Tomas Kadavy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michal Pluhacek
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Adam Viktorin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Roman Senkerik
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tomas Kadavy .

Editor information

Editors and Affiliations

  1. Computer Systems Department, Jožef Stefan Institute, Ljubljana, Slovenia

    Peter Korošec

  2. University of Lille, Lille, France

    Nouredine Melab

  3. University of Lille, Lille, France

    El-Ghazali Talbi

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kadavy, T., Pluhacek, M., Viktorin, A., Senkerik, R. (2018). Comparing Boundary Control Methods for Firefly Algorithm. In: Korošec, P., Melab, N., Talbi, EG. (eds) Bioinspired Optimization Methods and Their Applications. BIOMA 2018. Lecture Notes in Computer Science(), vol 10835. Springer, Cham. https://doi.org/10.1007/978-3-319-91641-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-91641-5_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91640-8

  • Online ISBN: 978-3-319-91641-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation