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OFNBee Method Used for Solving a Set of Benchmarks

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Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 642))

Abstract

In the article the results of three optimization algorithms has been compared. The first is the OFNBee algorithm, which uses the properties of ordered fuzzy numbers (OFN, KFN) and a bee-based model. The second algorithm is the ABC, currently the best-known optimization algorithm based on a bee swarm. The last is the PSO algorithm, a method based on a herd of particles that mimic the behaviors of people or insects.

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Author information

Authors and Affiliations

  1. Institute of Technology, Kazimierz Wielki University in Bydgoszcz, ul. Chodkiewicza 30, 85-064, Bydgoszcz, Poland

    Dawid Ewald, Jacek M. Czerniak & Hubert Zarzycki

  2. Department of Computer Science, Wroclaw School of Information Technology, ul. Wejherowska 28, 54-239, Wroclaw, Poland

    Dawid Ewald, Jacek M. Czerniak & Hubert Zarzycki

Authors
  1. Dawid Ewald
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  2. Jacek M. Czerniak
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  3. Hubert Zarzycki
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Corresponding author

Correspondence to Dawid Ewald .

Editor information

Editors and Affiliations

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

    Janusz Kacprzyk

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

    Eulalia Szmidt

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

    Slawomir Zadrożny

  4. Department of Telecommunications and Information Processing, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K. T. Atanassov

  5. WIT - Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

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Ewald, D., Czerniak, J.M., Zarzycki, H. (2018). OFNBee Method Used for Solving a Set of Benchmarks. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-66824-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-66824-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66823-9

  • Online ISBN: 978-3-319-66824-6

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