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Erschienen in: Artificial Intelligence Review 7/2021

02.06.2021

A comprehensive survey of sine cosine algorithm: variants and applications

verfasst von: Asma Benmessaoud Gabis, Yassine Meraihi, Seyedali Mirjalili, Amar Ramdane-Cherif

Erschienen in: Artificial Intelligence Review | Ausgabe 7/2021

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Abstract

Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields. This attention is due to its reasonable execution time, good convergence acceleration rate, and high efficiency compared to several well-regarded optimization algorithms available in the literature. This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions. Furthermore, the applications of SCA in several domains such as classification, image processing, robot path planning, scheduling, radial distribution networks, and other engineering problems are described. Finally, the paper recommended some potential future research directions for SCA.

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Metadaten
Titel
A comprehensive survey of sine cosine algorithm: variants and applications
verfasst von
Asma Benmessaoud Gabis
Yassine Meraihi
Seyedali Mirjalili
Amar Ramdane-Cherif
Publikationsdatum
02.06.2021
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence Review / Ausgabe 7/2021
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-021-10026-y

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