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Advances in Sine Cosine Algorithm: A comprehensive survey
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Journal Article
Advances in Sine Cosine Algorithm: A comprehensive survey
2021
Overview
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.
Publisher
Springer Nature B.V
Subject
