Augmented hunger games search algorithm using logarithmic spiral opposition-based learning for function optimization and controller design

Izci D., Ekinci S., Eker E., Kayri M.

Journal of King Saud University - Engineering Sciences, cilt.36, sa.5, ss.330-338, 2024 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 5
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1016/j.jksues.2022.03.001
  • Dergi Adı: Journal of King Saud University - Engineering Sciences
  • Derginin Tarandığı İndeksler: Scopus, Compendex, INSPEC, Directory of Open Access Journals
  • Sayfa Sayıları: ss.330-338
  • Anahtar Kelimeler: FOPID controller, Hunger games search algorithm, Logarithmic spiral, Magnetic ball suspension system, Opposition-based learning technique
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

This paper explains the construction of a novel augmented hunger games search algorithm using a logarithmic spiral opposition-based learning technique. The proposed algorithm (LsOBL-HGS) is used as an efficient tool for both function optimization and controller design. To assess the performance of the algorithm for function optimization, benchmark functions from the CEC2017 test suite were employed and comparisons were made with available and good performing algorithms. In terms of controller design, the proposed LsOBL-HGS algorithm was utilized to design a FOPID controlled magnetic ball suspension system. Comparative assessments were also performed for FOPID controller design, as well using other state-of-the-art methods reported for the magnetic ball suspension system. The results showed that the proposed LsOBL-HGS algorithm has good capability for FOPID controller design employed in a magnetic ball suspension system as it provided an improvement of more than 13% in terms of the transient response-related parameters and more than 34% in terms of bandwidth compared to the best-reported approach used for comparisons.