Open Access iconOpen Access

ARTICLE

crossmark

A Double Adaptive Random Spare Reinforced Sine Cosine Algorithm

Abdelazim G. Hussien1,2, Guoxi Liang3, Huiling Chen4,*, Haiping Lin5,*

1 Department of Computer and Information Science, Linköping University, Linköping, 4189, Sweden
2 Faculty of Science, Fayoum University, Fayoum, 63514, Egypt
3 Department of Information Technology, Wenzhou Polytechnic, Wenzhou, 325035, China
4 Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China
5 College of Information Engineering, Hangzhou Vocational & Technical College, Hangzhou, 310018, China

* Corresponding Authors: Huiling Chen. Email: email; Haiping Lin. Email: email

Computer Modeling in Engineering & Sciences 2023, 136(3), 2267-2289. https://doi.org/10.32604/cmes.2023.024247

Abstract

Many complex optimization problems in the real world can easily fall into local optimality and fail to find the optimal solution, so more new techniques and methods are needed to solve such challenges. Metaheuristic algorithms have received a lot of attention in recent years because of their efficient performance and simple structure. Sine Cosine Algorithm (SCA) is a recent Metaheuristic algorithm that is based on two trigonometric functions Sine & Cosine. However, like all other metaheuristic algorithms, SCA has a slow convergence and may fail in sub-optimal regions. In this study, an enhanced version of SCA named RDSCA is suggested that depends on two techniques: random spare/replacement and double adaptive weight. The first technique is employed in SCA to speed the convergence whereas the second method is used to enhance exploratory searching capabilities. To evaluate RDSCA, 30 functions from CEC 2017 and 4 real-world engineering problems are used. Moreover, a nonparametric test called Wilcoxon signed-rank is carried out at 5% level to evaluate the significance of the obtained results between RDSCA and the other 5 variants of SCA. The results show that RDSCA has competitive results with other metaheuristics algorithms.

Keywords


Supplementary Material

Supplementary Material File

Cite This Article

APA Style
Hussien, A.G., Liang, G., Chen, H., Lin, H. (2023). A double adaptive random spare reinforced sine cosine algorithm. Computer Modeling in Engineering & Sciences, 136(3), 2267-2289. https://doi.org/10.32604/cmes.2023.024247
Vancouver Style
Hussien AG, Liang G, Chen H, Lin H. A double adaptive random spare reinforced sine cosine algorithm. Comput Model Eng Sci. 2023;136(3):2267-2289 https://doi.org/10.32604/cmes.2023.024247
IEEE Style
A.G. Hussien, G. Liang, H. Chen, and H. Lin "A Double Adaptive Random Spare Reinforced Sine Cosine Algorithm," Comput. Model. Eng. Sci., vol. 136, no. 3, pp. 2267-2289. 2023. https://doi.org/10.32604/cmes.2023.024247



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 2223

    View

  • 850

    Download

  • 0

    Like

Share Link