Nature Inspired Optimization Algorithms and Their Performance on the Solution of Nonlinear Equation Systems
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Sakarya Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The aim of this article is both to introduce recent published nature-inspired optimization algorithms and to compare the performances of them. Four benchmark test problems(two unimodal, two multimodal) and four nonlinear equations systems were used for the comparison. The results were submitted. It was seen with these test results, we can not say that one of the algorithms outperforms. But all af them can be an alternative for solving the nonlinear equation systems.
Açıklama
Anahtar Kelimeler
Nature-Inspired Optimization Algorithms|Nonlinear Equation Systems|Grey Wolf Optimization|Ant-Lion Algorithm|Whale Optimization Algorithm|Salp Swar Algorithm
Kaynak
Sakarya University Journal of Computer and Information Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
1
Sayı
1
