Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
A new hybrid algorithm based on MVO and SA for function optimization
International Journal of Industrial Engineering Computations · Mart 2022
YÖKSİS Kayıtları
A new hybrid algorithm based on MVO and SA for function optimization
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS · 2022 SCI-Expanded
PROFESÖR ADEM ALPASLAN ALTUN →
A New Hybrid Algorithm Based on MVO and SA for Function Optimization
International Journal of Industrial Engineering Computations · 2022 SCI-Expanded
DOÇENT MURAT KÖKLÜ →
Makale Bilgileri
DergiInternational Journal of Industrial Engineering Computations
Yayın TarihiMart 2022
Cilt / Sayfa13 · 237-254
Scopus ID2-s2.0-85125062083
Erişim🔓 Açık Erişim
Özet
Hybrid algorithms are widely used today to increase the performance of existing algorithms. In this paper, a new hybrid algorithm called IMVOSA that is based on multi-verse optimizer (MVO) and simulated annealing (SA) is used. In this model, a new method called the black hole selection (BHS) is proposed, in which exploration and exploitation can be increased. In the BHS method, the acceptance probability feature of the SA algorithm is used to increase exploitation by searching for the best regions found by the MVO algorithm. The proposed IMVOSA algorithm has been tested on 50 benchmark functions. The performance of IMVOSA has been compared with other latest and well-known metaheuristic algorithms. The consequences show that IMVOSA produces highly successful and competitive results.
Yazarlar (3)
1
Ömer Yılmaz
2
A. A. Altun
3
Murat Koklu
ORCID: 0000-0002-2737-2360
Anahtar Kelimeler
Function optimization
Hybrid optimization algorithm
Multi-verse optimizer
Simulated annealing
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
6
Atıf
3
Yazar
4
Anahtar Kelime