Open Access
ARTICLE
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: ; Haiping Lin. Email:
Computer Modeling in Engineering & Sciences 2023, 136(3), 2267-2289. https://doi.org/10.32604/cmes.2023.024247
Received 27 May 2022; Accepted 23 November 2022; Issue published 09 March 2023
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
Hussien, A. G., Liang, G., Chen, H., Lin, H. (2023). A Double Adaptive Random Spare Reinforced Sine Cosine Algorithm.
CMES-Computer Modeling in Engineering & Sciences, 136(3), 2267–2289.