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.

中文翻译：

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正弦余弦算法的进展：综合调查

正弦余弦算法 (SCA) 是 Mirjalili 在 2016 年推出的一种基于群体的优化算法，受三角正弦和余弦函数的启发。在概述了 SCA 算法之后，我们调查了一些出现在文献中的 SCA 变体和应用。然后，我们展示了一系列计算实验的结果，以验证 SCA 针对类似算法的性能。