Hybrid spotted hyena-Nelder-Mead optimization algorithm for selection of optimal machining parameters in grinding operations
MATERIALS TESTING, cilt.63, sa.3, ss.293-298, 2021 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 63 Sayı: 3
- Basım Tarihi: 2021
- Doi Numarası: 10.1515/mt-2020-0043
- Dergi Adı: MATERIALS TESTING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.293-298
- Anahtar Kelimeler: Spotted hyena optimization algorithm, nelder-mead optimization, manufacturing, grinding operation, PARTICLE SWARM OPTIMIZATION, MULTIPASS TURNING OPERATIONS, MULTIOBJECTIVE OPTIMIZATION, DESIGN OPTIMIZATION, STRUCTURAL OPTIMIZATION, SEARCH APPROACH, CRASHWORTHINESS
- Bursa Uludağ Üniversitesi Adresli: Evet
Özet
In this research, a novel optimization algorithm, which is a hybrid spotted hyena-Nelder-Mead optimization algorithm (HSHO-NM) algorithm, has been introduced in solving grinding optimization problems. A well-known grinding optimization problem is solved to prove the superiority of the HSHO-NM over other algorithms. The results of the HSHO-NM are compared with others. The results show that HSHO-NM is an efficient optimization approach for obtaining the optimal manufacturing variables in grinding operations.