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.
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页码：2567 / 2608
页数：41
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