A review of mothflame optimization algorithm: analysis and applications

Abualigah L., Al-Abadi L., Ikotun A. M., AL-Saqqar F., İZCİ D., Zhang P., ...Daha Fazla

Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications, Elsevier, ss.205-219, 2024 identifier

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1016/b978-0-443-13925-3.00006-6
  • Yayınevi: Elsevier
  • Sayfa Sayıları: ss.205-219
  • Anahtar Kelimeler: algorithm, application, metaheuristic, Moth flame optimization, optimization, survey
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

The moth flame optimization (MFO) algorithm, which is inspired by nature, is studied in this study. This optimizer takes its main inspiration from the directional navigation approach used by moths in nature. Moths fly at a steady angle to the moon at night. This is a particularly efficient method for traveling long distances in a straight line. Insects, on the other hand, are trapped in a useless/deadly spiral path around artificial lights. This chapter provides a review of published papers that used the MFO method.