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A Comparative Study of Sine Cosine Optimizer and Its Variants for Engineering Design Problems

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Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 829))

Abstract

Sine Cosine Algorithm (SCA) is one of the simplest optimization algorithms and is used to solve a wide range of problems due to using two simple mathematical equations. However, it faces local optima stagnation because of the constraints in its exploration and exploitation mechanism. To solve this problem, many researchers proposed new versions of sine cosine algorithm (SCA). The main concept of developing SCA performance is to add some methods or layers to original SCA, edit the SCA parameters, or only hybridize it with other optimization algorithms to improve SCA’s exploration and exploitation. SCA and three new SCA variants were applied to solve three constrained engineering design problems in this study. The outcomes show that SCA was still able to report a good result more than some of its variants.

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Acknowledgements

This research is supported by the Malaysia Ministry of Higher Education (MOHE) Fundamental Research Grant Scheme (FRGS), no. FRGS/1/2019/ICT02/USM/03/3.

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Authors and Affiliations

  1. School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Penang, Malaysia

    Qusay Shihab Hamad, Shahrel Azmin Suandi & Junita Mohamad Saleh

  2. School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 UTM, Johor, Johor Bahru, Malaysia

    Hussein Samma

  3. University of Information Technology and Communications (UOITC), Baghdad, Iraq

    Qusay Shihab Hamad

Authors
  1. Qusay Shihab Hamad
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  2. Hussein Samma
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  3. Shahrel Azmin Suandi
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  4. Junita Mohamad Saleh
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Corresponding author

Correspondence to Shahrel Azmin Suandi .

Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

    Nor Muzlifah Mahyuddin

  2. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

    Nor Rizuan Mat Noor

  3. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

    Harsa Amylia Mat Sakim

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Hamad, Q.S., Samma, H., Suandi, S.A., Saleh, J.M. (2022). A Comparative Study of Sine Cosine Optimizer and Its Variants for Engineering Design Problems. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_166

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