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Fuzzy Clustering With Derivative–Free Search Algorithm for Location of Biogas Energy Systems

Author

Listed:
  • Gökçe Kiliçkaya

    (Istanbul University-Cerrahpaşa, Turkey)

  • Tarik Küçükdeniz

    (Istanbul University-Cerrahpaşa, Turkey)

  • Şakir Esnaf

    (Istanbul University-Cerrahpasa, Turkey)

Abstract

In the past decades, new models and algorithms have been developed for solving various types of facility location problems using different versions of the fuzzy c-means algorithm and its hybrid combinations. On the other hand, the need for renewable energy sources has become even more important than ever due to the increasing population, environmental pollution, and climate change. In this study, we proposed two revised weighted fuzzy c-means clustering-based hybrid algorithms for solving real-life biogas facility location problem. The first algorithm is Nelder-Mead simplex algorithm, and the second is center-of-gravity approach. Problem is solved as multi-facility Weber problem, and results have been analyzed.

Suggested Citation

  • Gökçe Kiliçkaya & Tarik Küçükdeniz & Şakir Esnaf, 2021. "Fuzzy Clustering With Derivative–Free Search Algorithm for Location of Biogas Energy Systems," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 12(4), pages 1-19, October.
    • Handle: RePEc:igg:joris0:v:12:y:2021:i:4:p:1-19
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    References listed on IDEAS

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