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

Qusay Shihab Hamad; Hussein Samma; Shahrel Azmin Suandi; Junita Mohamad Saleh

doi:10.1007/978-981-16-8129-5_166

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

Qusay Shihab Hamad
, Hussein Samma
, Shahrel Azmin Suandi^*
, Junita Mohamad Saleh

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications - Enhancing Research and Innovation through the Fourth Industrial Revolution
Editors	Nor Muzlifah Mahyuddin, Nor Rizuan Mat Noor, Harsa Amylia Mat Sakim
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1083-1089
Number of pages	7
ISBN (Print)	9789811681288
DOIs	https://doi.org/10.1007/978-981-16-8129-5_166
State	Published - 2022
Externally published	Yes
Event	11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021 - Virtual, Online Duration: 5 Apr 2021 → 6 Apr 2021

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	829 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021
City	Virtual, Online
Period	5/04/21 → 6/04/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Metaheuristic algorithm
Optimization algorithms
Population-based optimization algorithms
Swarm intelligence algorithms

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-16-8129-5_166

Cite this

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 N. M. Mahyuddin, N. R. Mat Noor, & H. A. Mat Sakim (Eds.), Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications - Enhancing Research and Innovation through the Fourth Industrial Revolution (pp. 1083-1089). (Lecture Notes in Electrical Engineering; Vol. 829 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-8129-5_166

Hamad, Qusay Shihab ; Samma, Hussein ; Suandi, Shahrel Azmin et al. / A Comparative Study of Sine Cosine Optimizer and Its Variants for Engineering Design Problems. Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications - Enhancing Research and Innovation through the Fourth Industrial Revolution. editor / Nor Muzlifah Mahyuddin ; Nor Rizuan Mat Noor ; Harsa Amylia Mat Sakim. Springer Science and Business Media Deutschland GmbH, 2022. pp. 1083-1089 (Lecture Notes in Electrical Engineering).

@inproceedings{215dd820bbbe4fd4b4b42ed3251628a9,

title = "A Comparative Study of Sine Cosine Optimizer and Its Variants for Engineering Design Problems",

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{\textquoteright}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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author = "Hamad, \{Qusay Shihab\} and Hussein Samma and Suandi, \{Shahrel Azmin\} and Saleh, \{Junita Mohamad\}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021 ; Conference date: 05-04-2021 Through 06-04-2021",

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Hamad, QS, Samma, H, Suandi, SA & Saleh, JM 2022, A Comparative Study of Sine Cosine Optimizer and Its Variants for Engineering Design Problems. in NM Mahyuddin, NR Mat Noor & HA Mat Sakim (eds), Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications - Enhancing Research and Innovation through the Fourth Industrial Revolution. Lecture Notes in Electrical Engineering, vol. 829 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 1083-1089, 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021, Virtual, Online, 5/04/21. https://doi.org/10.1007/978-981-16-8129-5_166

A Comparative Study of Sine Cosine Optimizer and Its Variants for Engineering Design Problems. / Hamad, Qusay Shihab; Samma, Hussein; Suandi, Shahrel Azmin et al.
Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications - Enhancing Research and Innovation through the Fourth Industrial Revolution. ed. / Nor Muzlifah Mahyuddin; Nor Rizuan Mat Noor; Harsa Amylia Mat Sakim. Springer Science and Business Media Deutschland GmbH, 2022. p. 1083-1089 (Lecture Notes in Electrical Engineering; Vol. 829 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Suandi, Shahrel Azmin

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N2 - 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.

AB - 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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ER -

Hamad QS, Samma H, Suandi SA, Saleh JM. A Comparative Study of Sine Cosine Optimizer and Its Variants for Engineering Design Problems. In Mahyuddin NM, Mat Noor NR, Mat Sakim HA, editors, Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications - Enhancing Research and Innovation through the Fourth Industrial Revolution. Springer Science and Business Media Deutschland GmbH. 2022. p. 1083-1089. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-16-8129-5_166

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this