Advances in Sine Cosine Algorithm: A comprehensive survey

被引:0
|
作者
Laith Abualigah
Ali Diabat
机构
[1] Amman Arab University,Faculty of Computer Sciences and Informatics
[2] New York University Abu Dhabi,Division of Engineering
[3] New York University,Department of Civil and Urban Engineering, Tandon School of Engineering
来源
Artificial Intelligence Review | 2021年 / 54卷
关键词
Sine Cosine Algorithm; Meta-heuristic optimization algorithms; Optimization problems; Population-based algorithms;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:2567 / 2608
页数:41
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