A new hybrid artificial hummingbird-simulated annealing algorithm to solve constrained mechanical engineering problems

YILDIZ B. S., Mehta P., Sait S. M., Panagant N., Kumar S., YILDIZ A. R.

MATERIALS TESTING, cilt.64, sa.7, ss.1043-1050, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 64 Sayı: 7
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1515/mt-2022-0123
  • Dergi Adı: MATERIALS TESTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1043-1050
  • Anahtar Kelimeler: artificial hummingbird algorithm, planetary gear train, simulated annealing, ten bar truss problem, vehicle crash problem, SEARCH ALGORITHM, TRUSS STRUCTURES, OPTIMIZATION ALGORITHM, DESIGN OPTIMIZATION, CRASHWORTHINESS
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

Nature-inspired algorithms known as metaheuristics have been significantly adopted by large-scale organizations and the engineering research domain due their several advantages over the classical optimization techniques. In the present article, a novel hybrid metaheuristic algorithm (HAHA-SA) based on the artificial hummingbird algorithm (AHA) and simulated annealing problem is proposed to improve the performance of the AHA. To check the performance of the HAHA-SA, it was applied to solve three constrained engineering design problems. For comparative analysis, the results of all considered cases are compared to the well-known optimizers. The statistical results demonstrate the dominance of the HAHA-SA in solving complex multi-constrained design optimization problems efficiently. Overall study shows the robustness of the adopted algorithm and develops future opportunities to optimize critical engineering problems using the HAHA-SA.