TY - JOUR
T1 - A comprehensive survey of sine cosine algorithm
T2 - variants and applications
AU - Gabis, Asma Benmessaoud
AU - Meraihi, Yassine
AU - Mirjalili, Seyedali
AU - Ramdane-Cherif, Amar
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature B.V.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Meta-heuristics
KW - Optimization
KW - Population-based Algorithm
KW - Sine Cosine Algorithm
UR - http://www.scopus.com/inward/record.url?scp=85107426504&partnerID=8YFLogxK
UR - https://doi.org/10.25905/21728696.v1
U2 - 10.1007/s10462-021-10026-y
DO - 10.1007/s10462-021-10026-y
M3 - Article
AN - SCOPUS:85107426504
SN - 0269-2821
JO - Artificial Intelligence Review
JF - Artificial Intelligence Review
ER -