Q.S., Hamad and H., Samma and S.A., Suandi and J.M., Saleh (2022) A comparative study of sine cosine optimizer and its variants for engineering design problems. In: 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021, 5 April 2021 - 6 April 2021, Virtual, Online.
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Official URL: http://dx.doi.org/10.1007/978-981-16-8129-5_166
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.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Metaheuristic algorithm; Optimization algorithms; Population-based optimization algorithms; Swarm intelligence algorithms |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Faculty of Engineering - School of Electrical |
ID Code: | 104796 |
Deposited By: | Muhamad Idham Sulong |
Deposited On: | 16 Mar 2024 02:08 |
Last Modified: | 16 Mar 2024 02:08 |
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