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Application of OFN Numbers in the Artificial Duroc Pigs Optimization (ADPO) Method

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Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives (IWIFSGN 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1081))

Abstract

In the article, the authors propose a new optimization method inspired directly by the behavior of the Duroc pig herd, which was bred in New England. The new metaheuristics called Artificial Duroc Pigs Optimization (ADPO) is an example of the successful implementation of Ordered Fuzzy Numbers into a swarm optimization method. The notation of OFN is suitable for describing the behavior of the pig herd in the article. The experiments were carried out for eight benchmark functions with many extremes. For comparison, experiments with PSO, BA and GA methods were carried out on the same functions. In most tests, the results obtained by ADPO were the best.

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Acknowledgement

This article is based upon work from COST Action CA15140 Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) and COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), supported by COST (European Cooperation in Science and Technology).

Author information

Authors and Affiliations

  1. Department of Computer Science, Casimir the Great University in Bydgoszcz, ul. Chodkiewicza 30, 85-064, Bydgoszcz, Poland

    Jacek M. Czerniak, Dawid Ewald & Piotr Augustyn

  2. University of Information Technology and Management Copernicus, ul. Inowroclawska 56, 53-648, Wroclaw, Poland

    Hubert Zarzycki

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

Correspondence to Jacek M. Czerniak .

Editor information

Editors and Affiliations

  1. Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Sofia, Bulgaria

    Krassimir T. Atanassov

  2. Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Sofia, Bulgaria

    Vassia Atanassova

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

    Janusz Kacprzyk

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

    Andrzej Kaluszko

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

    Maciej Krawczak

  6. Polish Acadamy of Sciences, Systems Research Institute, Warsaw, Poland

    Jan W. Owsinski

  7. Intelligent Systems Laboratory, Faculty of Technical Sciences, Bourgas, Bulgaria

    Sotir Sotirov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University, Burgas, Bulgaria

    Evdokia Sotirova

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

    Eulalia Szmidt

  10. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Slawomir Zadrozny

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Czerniak, J.M., Zarzycki, H., Ewald, D., Augustyn, P. (2021). Application of OFN Numbers in the Artificial Duroc Pigs Optimization (ADPO) Method. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_31

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