Adaptive Harmony Search for Cost Optimization of Reinforced Concrete Columns

Kayabekir A. E., NİGDELİ S. M., BEKDAŞ G.

4th International Conference on Intelligent Computing and Optimization, ICO 2021, Virtual, Online, 30 - 31 Aralık 2021, cilt.371, ss.35-44 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 371
  • Doi Numarası: 10.1007/978-3-030-93247-3_4
  • Basıldığı Şehir: Virtual, Online
  • Sayfa Sayıları: ss.35-44
  • Anahtar Kelimeler: Harmony search, Metaheuristics, Optimization, Reinforced concrete
  • İstanbul Gelişim Üniversitesi Adresli: Evet

Özet

© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The performance of metaheuristic algorithms used in engineering optimization is evaluated via the robustness of the method. To make a better algorithm for specific problems, investigations have to be continued by applying methods to new problems. In the present study, adaptive harmony search (AHS) that automatically updates the algorithm parameters is presented for optimum cost design of reinforced concrete (RC) columns. The results were compared with the approach that constant parameters within the optimization process. Results proved that AHS is not greatly affected by the choice of initial algorithm parameters.