Skip to main content
SpringerLink
Log in
Book cover

Nature-Inspired Design of Hybrid Intelligent Systems pp 313–327Cite as

Fireworks Algorithm (FWA) with Adaptation of Parameters Using Fuzzy Logic

  • Chapter
  • First Online:

Part of the book series: Studies in Computational Intelligence ((SCI,volume 667))

Abstract

The main goal of this paper is to improve the performance of the fireworks algorithm (FWA). This improvement is based on fuzzy logic, which means we implemented different fuzzy inference systems into the FWA with the intent to convert parameters that were usually constant in dynamic parameters. After having studied the performance of the FWA, we concluded that two parameters are key of the performance the algorithm (FWA), the parameters that we comment are: the number of sparks and explosion amplitude of each firework, these parameters were adjusted using fuzzy logic, and this adjustment we called Fuzzy Fireworks Algorithm and we denoted as FzFWA. We can justify this adjustment of parameters with simulation results obtained in evaluating six mathematical benchmark functions.

This is a preview of subscription content, 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   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
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

References

  1. S. Das, A. Abraham and A. Konar “Swarm intelligence algorithms in bioinformatics”. Studies in Computational Intelligence 94 (2008), 113–147.

    Google Scholar 

  2. K. Ding, S. Zheng and Y. Tan. “A GPU-based Parallel Fireworks Algorithm for Optimization” GECCO’13, Amsterdam, the Netherlands, July 6-10, 2013.

    Google Scholar 

  3. J. Kennedy and R.C. Eberhart. “Particle swarm optimization”. In: Proceedings of IEEE International Conference on Neural Networks (1995), vol. 4, pp. 1942–1948.

    Google Scholar 

  4. M. Dorigo, V. Maniezzo and A. Colorni. “Ant system: optimization by a colony of cooperating agents”. IEEE Transactions on Systems, Man, and Cybernetics (1996), Part B: Cybernetics 26(1), 29–41.

    Google Scholar 

  5. L.A. Zadeh “Knowledge Representation in Fuzzy Logic”.IEEE transactions on knowledge and data engineering, vol. I, no. I, march 1989,pp. 89-0084.

    Google Scholar 

  6. M. Simoes, K. Bose and J. Spiegel: “Fuzzy Logic Based Intelligent Control of a Variable Speed Cage Machine Wind Generation System”. IEEE transactions on power electronics, vol. 12, no. 1, January 1997,pp. 87–95.

    Google Scholar 

  7. Y. Zheng, X. Xu, H. Ling and Sheng-Yong Chen. “A hybrid fireworks optimization method with differential evolution operators”, Neurocomputing 148 (2015) 75–82.

    Google Scholar 

  8. Y. Pei, S. Zheng, Y. Tan, and T. Hideyuki, “An empirical study on influence of approximation approaches on enhancing fireworks algorithm,” in Proceedings of the 2012 IEEE Congress on System, Man and Cybernetics. IEEE, 2012, pp. 1322–1327.

    Google Scholar 

  9. A. Mohamed and M. Kowsalya. “A new power system reconfiguration scheme for power loss minimization and voltage profile enhancement using Fireworks Algorithm”, Electrical Power and Energy Systems 62 (2014) 312–322.

    Google Scholar 

  10. Y. Zheng, Qin Song, S.-Y Chen. “Multiobjective fireworks optimization for variable-rate fertilization in oil crop production”, Applied Soft Computing 13 (2013) 4253–4263.

    Google Scholar 

  11. J.Li and S.Z. “Adaptive Fireworks Algorithm”. IEEE Congress on Evolutionary Computation 2014 (CEC),, 3214-3221.

    Google Scholar 

  12. Y. Tan, “Fireworks Algorithm”, Springer-Verlag Berlin Heidelberg 2015, 355–364.

    Google Scholar 

  13. Y. Tan and Y. Zhu, “Fireworks Algorithm for Optimization,” Springer-Verlag Berlin Heidelberg 2010, pp. 355–364.

    Google Scholar 

  14. Y. Tan and S. Z. “Enhanced Fireworks Algorithm”. IEEE Congress on Evolutionary Computation (2013), 2069-2077.

    Google Scholar 

  15. Y.Tan and S. Z. “Dynamic Search in Fireworks Algorithm. Evolutionary Computation” (CEC 2014).

    Google Scholar 

  16. N. H. Abdulmajeed and M. Ayob, “A Firework Algorithm for Solving Capacitated Vehicle Routing Problem”, International Journal of Advancements in Computing Technology, January 2014, (IJACT), Volume 6, Number 1, 79-86.

    Google Scholar 

  17. J. Barraza, P. Melin, F. Valdez “Fuzzy FWA with dynamic adaptation of parameters”, IEEE CEC 2016,“accepted for publication”.

    Google Scholar 

  18. M., Liu, S.H., and Mernik. “Exploration and exploitation in evolutionary algorithms”: Asurvey. ACM Comput. Surv. 2013, 45, 3, 35:32.

    Google Scholar 

  19. J. Liu, S. Zheng, and Y. Tan, “The improvement on controlling exploration and exploitation of firework algorithm,” in Advances in Swarm Intelligence. Springer, 2013, pp. 11–23.

    Google Scholar 

  20. L. Rodriguez, O. Castillo, J. Soria “Grey Wolf Optimizer (GWO) with dynamic adaptation of parameters using fuzzy logic”, IEEE CEC 2016, “accepted for publication”.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, Mexico

    Juan Barraza, Patricia Melin, Fevrier Valdez & Claudia González

Authors
  1. Juan Barraza
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Patricia Melin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fevrier Valdez
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Claudia González
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Patricia Melin .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, BC, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, BC, Mexico

    Oscar Castillo

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Barraza, J., Melin, P., Valdez, F., González, C. (2017). Fireworks Algorithm (FWA) with Adaptation of Parameters Using Fuzzy Logic. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Nature-Inspired Design of Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-47054-2_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47054-2_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47053-5

  • Online ISBN: 978-3-319-47054-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation