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Published in: Artificial Intelligence Review 4/2021

11-01-2021

Advances in Sine Cosine Algorithm: A comprehensive survey

Authors: Laith Abualigah, Ali Diabat

Published in: Artificial Intelligence Review | Issue 4/2021

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Abstract

The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions. After providing an overview of the SCA algorithm, we survey a number of SCA variants and applications that have appeared in the literature. We then present the results of a series of computational experiments to validate the performance of the SCA against similar algorithms.

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Metadata
Title
Advances in Sine Cosine Algorithm: A comprehensive survey
Authors
Laith Abualigah
Ali Diabat
Publication date
11-01-2021
Publisher
Springer Netherlands
Published in
Artificial Intelligence Review / Issue 4/2021
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-020-09909-3

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