Exponentially adaptive sine-cosine algorithm for global optimization

Mohd Falfazli, Mat Jusof and Nurul Amira, Mhd Rizal and Ahmad Azwan, Abdul Razak and Shuhairie, Mohammad and Ahmad Nor Kasruddin, Nasir (2019) Exponentially adaptive sine-cosine algorithm for global optimization. In: 9th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2019, 27-28 April 2019 , Kota Kinabalu. 6 -10. (8743786). ISBN 978-1-5386-8546-4

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Sine-Cosine algorithm (SCA) is an optimization algorithm formulated based on mathematical Sine and Cosine terms. It is widely used to solve various optimization problems. However the algorithm performance in terms of accuracy is not at optimum level. This paper presents an improved SCA with a new adaptive strategy based on an exponential term. The exponential term is adopted to establish a relationship between searching agents step size and fitness cost. The agents step size is exponentially changed due to the change of the fitness cost. The proposed algorithm is tested with a set of benchmark functions in comparison to the original SCA. A statistical analysis of the algorithms performance in terms of their accuracy is conducted. A Wilcoxon Sign Rank test is adopted to check significance level of the proposed algorithm as compared to the original SCA. Based on the simulation conducted, the adaptive strategy has resulted a significance improvement of the accuracy and convergence speed.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Sine-Cosine algorithm; Exponential adaptive; Global optimization algorithm
Subjects: Q Science > QC Physics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Institute of Postgraduate Studies
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 12 Nov 2020 03:38
Last Modified: 12 Nov 2020 03:38
URI: http://umpir.ump.edu.my/id/eprint/29906
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