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.
Original language | English (US) |
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Pages (from-to) | 2567-2608 |
Number of pages | 42 |
Journal | Artificial Intelligence Review |
Volume | 54 |
Issue number | 4 |
DOIs | |
State | Published - Apr 2021 |
Keywords
- Meta-heuristic optimization algorithms
- Optimization problems
- Population-based algorithms
- Sine Cosine Algorithm
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language
- Artificial Intelligence