### Abstract

This chapter presented the Sine Cosine Algorithm (SCA), which is a recent meta-heuristics using mathematical equations to estimate the global optima of optimization problems. After discussing the mathematical model, a brief literature review is given covering the most recent improvements and applications of this algorithm. The performance of this algorithm is benchmarked on a wide range of test functions showing the flexibility of SCA in solving diverse problems with different characteristics. The chapter also considers finding an optimal design for a bend photonics crystal that shows the merits of this algorithm is solving challenging real-world problems.

Original language | English |
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Title of host publication | Studies in Computational Intelligence |

Publisher | Springer Verlag |

Pages | 201-217 |

Number of pages | 17 |

DOIs | |

Publication status | Published - 1 Jan 2020 |

Externally published | Yes |

### Publication series

Name | Studies in Computational Intelligence |
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Volume | 811 |

ISSN (Print) | 1860-949X |

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### Cite this

*Studies in Computational Intelligence*(pp. 201-217). (Studies in Computational Intelligence; Vol. 811). Springer Verlag. https://doi.org/10.1007/978-3-030-12127-3_12