A Comprehensive Review of the Flower Pollination Algorithm for Solving Engineering Problems

Kayabekir A. E., BEKDAŞ G., Nigdeli S. M., Yang X.

NATURE-INSPIRED ALGORITHMS AND APPLIED OPTIMIZATION, cilt.744, ss.171-188, 2018 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 744
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1007/978-3-319-67669-2_8
  • Dergi Adı: NATURE-INSPIRED ALGORITHMS AND APPLIED OPTIMIZATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, zbMATH
  • Sayfa Sayıları: ss.171-188
  • Anahtar Kelimeler: Flower pollination algorithm, Optimization, Metaheuristic methods, Civil engineering, Nonlinear optimization, RADIAL-DISTRIBUTION SYSTEMS, OPTIMIZATION, DESIGN, CONTROLLER, CAPACITORS, PARAMETERS, PLACEMENT, SIZE
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Engineering optimization problems are often solved by using metaheuristic algorithms. Flower pollination algorithm (FPA) is a nature-inspired metaheuristic algorithm and FPA have been used in a variety of engineering problems. In this book chapter, the engineering applications of FPA and its variants are reviewed, and the applications include chemical engineering, civil engineering, energy and power systems, mechanical engineering, electronical and communication engineering, computer science and others. Further research topics are also outlined.