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Nature-Inspired Optimizers pp 201–217Cite as

Sine Cosine Algorithm: Theory, Literature Review, and Application in Designing Bend Photonic Crystal Waveguides

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 811))

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.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada

    Seyed Mohammad Mirjalili

  2. School of Electrical Engineering and Computing, University of Newcastle, Callaghan, NSW, 2308, Australia

    Seyedeh Zahra Mirjalili

  3. Institute for Integrated and Intelligent Systems, Griffith University, Nathan, Brisbane, QLD, 4111, Australia

    Shahrzad Saremi & Seyedali Mirjalili

Authors
  1. Seyed Mohammad Mirjalili
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  2. Seyedeh Zahra Mirjalili
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  3. Shahrzad Saremi
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  4. Seyedali Mirjalili
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Correspondence to Seyedali Mirjalili .

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Editors and Affiliations

  1. Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, QLD, Australia

    Seyedali Mirjalili

  2. Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, QLD, Australia

    Jin Song Dong

  3. Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, QLD, Australia

    Andrew Lewis

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Mirjalili, S.M., Mirjalili, S.Z., Saremi, S., Mirjalili, S. (2020). Sine Cosine Algorithm: Theory, Literature Review, and Application in Designing Bend Photonic Crystal Waveguides. In: Mirjalili, S., Song Dong, J., Lewis, A. (eds) Nature-Inspired Optimizers. Studies in Computational Intelligence, vol 811. Springer, Cham. https://doi.org/10.1007/978-3-030-12127-3_12

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