Whale Optimization Algorithm for Numerical Constrained Optimization
Küçük Resim Yok
Tarih
2020
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Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Whale Optimization Algorithm (WOA), WOA is a recently developed, nature-inspired, meta-heuristic optimization algorithm. The algorithm was developed in 2016, inspired by bubble hunting strategies used by humpback whales. To determine the performance of each optimization algorithm developed, they should be tested on a different type of optimization test problems. In this paper, we aim to investigate and analyse WOA logarithm on constrained optimization the performance and accuracy of the proposed method are examined on 13 (G1-G13) constrained numerical benchmark functions, and the obtained results are compared with other meta-heuristic optimization algorithms which taken from the literature. The experimental results show that WOA has low performance on constrained optimization.
Açıklama
Anahtar Kelimeler
Kaynak
ACADEMIC PLATFORM-JOURNAL OF ENGINEERING AND SCIENCE
WoS Q Değeri
Scopus Q Değeri
Cilt
8
Sayı
3
