Reinforced Concrete Beam Optimization via Flower Pollination Algorithm by Changing Switch Probability Parameter

AYDIN Y., BEKDAŞ G., NİGDELİ S. M.

6th International Conference on Intelligent Computing and Optimization, ICO 2023, Hua Hin, Tayland, 27 - 28 Nisan 2023, cilt.852 LNNS, ss.66-74, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 852 LNNS
  • Doi Numarası: 10.1007/978-3-031-50330-6_7
  • Basıldığı Şehir: Hua Hin
  • Basıldığı Ülke: Tayland
  • Sayfa Sayıları: ss.66-74
  • Anahtar Kelimeler: Cost optimization, Flower pollination algorithm, Metaheuristic, Optimization, Reinforced concrete beam
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Reinforced concrete (RC) is one of the most widely used and preferred types of construction. Therefore, the optimum design of RC-bearing elements is an important design problem. Metaheuristic algorithms are suitable for the optimum design of the RC beam. In this study, the problem of minimizing the cost of reinforced concrete beams will be solved with the Flower Pollination Algorithm (FPA). For this purpose, the dimensions of the single-span rectangular RC beam are optimized to give minimum cost. In the analysis, the effects of defining different values of switch probability (sp) and defining the sp value randomly on the change of the optimum result were determined. Results showed that using random sp is have near performance to best sp cases.