Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
A Novel Artificial Jellyfish Search Algorithm Improved with a Differential Evolution Algorithm-Based Global Search Strategy
El Cezeri Journal of Science and Engineering · Aralık 2022
YÖKSİS Kayıtları
Diferansiyel Evrim Algoritması Temelli Global Arama Stratejisi ile Geliştirilmiş Yeni Bir Yapay Denizanası Arama Algoritması
El-Cezeri Fen ve Mühendislik Dergisi · 2022 Scopus
DOKTOR ÖĞRETİM ÜYESİ GÜLNUR YILDIZDAN →
Makale Bilgileri
DergiEl Cezeri Journal of Science and Engineering
Yayın TarihiAralık 2022
Cilt / Sayfa9 · 1178-1192
Scopus ID2-s2.0-85146763487
Erişim🔓 Açık Erişim
Özet
Metaheuristic algorithms are algorithms inspired by natural phenomena and that are used to decide which possible solution is more efficient to solve a problem. Although these algorithms, whose numbers are increasing day by day, do not guarantee the exact solution, they promise to reach a solution around the exact solution quickly.The Artificial Jellyfish Search Algorithm (YDA) is also a new metaheuristic algorithm proposed in 2021. In this study, a modification has been made to the global search part of the standard algorithm in order to improve the global search capability of YDA. Accordingly, the "current-to-best" approach, which is one of the successful mutation strategies in the Differential Evolution Algorithm, has been integrated into the global search method of YDA. The advanced algorithm (MYDA) obtained as a result of this modification has been tested for 10, 30, 50, 100, 500 and 1000 dimensions on a total of twelve benchmark functions, seven of which are uni-modal and five are multi-modal. In addition, MYDA has also been compared with algorithms selected from the literature. The results have been interpreted with the help of statistical tests. When the results obtained are examined, it has been determined that the proposed algorithm outperforms the standard algorithm for all dimensions in all functions. In the comparison with the literature, it has been determined that the algorithm produces successful and competitive results.
Yazarlar (1)
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Gülnur Yildizdan
Anahtar Kelimeler
artificial jellyfish search algorithm
classic benchmark functions
continuous optimization
Differential evolution algorithm
metaheuristic algorithm
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey