A novel hybrid water wave optimization algorithm for solving complex constrained engineering problems

Gurses D., Pholdee N., Bureerat S., Sait S. M., YILDIZ A. R.

MATERIALS TESTING, cilt.63, sa.6, ss.560-564, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 63 Sayı: 6
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1515/mt-2020-0093
  • Dergi Adı: MATERIALS TESTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.560-564
  • Anahtar Kelimeler: Water wave optimization algorithm, Nelder-mead, manufacturing, design, milling, CUCKOO SEARCH ALGORITHM, SALP SWARM ALGORITHM, DESIGN OPTIMIZATION, STRUCTURAL OPTIMIZATION, PARAMETER OPTIMIZATION, MILLING OPERATIONS, GENETIC ALGORITHM, OPTIMUM DESIGN, ROBUST DESIGN, CRASHWORTHINESS
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

In this work, a new hybrid optimization algorithm (HWW-NM), which combines the Nelder-Mead local search algorithm with the water wave algorithm, is introduced to solve real-world engineering optimization problems. This paper is one of the first studies in which both the water wave algorithm and the HWWNM are applied to processing parameters optimization for manufacturing processes. HWW-NM performance is measured using the cantilever beam problem. Additionally, a problem for milling manufacturing optimization is posed and solved to evaluate HWW-NM performance in real-world applications. The results reveal that HWW-NM is an attractive optimization approach for optimizing real-life problems.