Archimedes Optimization Algorithm on a Structural Optimization Problem

AYDIN Y., NİGDELİ S. M., BEKDAŞ G.

6th International Conference on Intelligent Computing and Optimization, ICO 2023, Hua Hin, Tayland, 27 - 28 Nisan 2023, cilt.854 LNNS, ss.173-180, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 854 LNNS
  • Doi Numarası: 10.1007/978-3-031-50151-7_17
  • Basıldığı Şehir: Hua Hin
  • Basıldığı Ülke: Tayland
  • Sayfa Sayıları: ss.173-180
  • Anahtar Kelimeler: Archimedes, Cantilever beam, Flower pollination, Metaheuristic, Optimization, Teaching-learning-based
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Optimization is required in the design of engineering problems with various design variables and constraints since the main aim of an engineer is to find the best result that provides safety and economic conditions. In this study, a cantilever beam is optimized with Archimedes Optimization Algorithm (AOA) and the results are compared with Teaching-Learning-Based Optimization and Flower Pollination Algorithm. The optimization process aims to minimize the weight of the cantilever beam with five different cross-sections. After the optimization process with these three algorithms, the results were compared. The results showed that AOA is a competitive algorithm for the design problem.