Exponentially adaptive sine-cosine algorithm for global optimization
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 ad...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/29906/1/Exponentially%20adaptive%20sine-cosine%20algorithm%20for%20global%20optimization.pdf |
| _version_ | 1796994336968146944 |
|---|---|
| author | Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir |
| author_facet | Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir |
| author_sort | Mohd Falfazli, Mat Jusof |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:46:24Z |
| format | Conference or Workshop Item |
| id | UMPir29906 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:46:24Z |
| publishDate | 2019 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir299062020-11-12T03:38:17Z http://umpir.ump.edu.my/id/eprint/29906/ Exponentially adaptive sine-cosine algorithm for global optimization Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir QC Physics TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2019-04 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29906/1/Exponentially%20adaptive%20sine-cosine%20algorithm%20for%20global%20optimization.pdf 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 https://doi.org/10.1109/ISCAIE.2019.8743786 |
| spellingShingle | QC Physics TK Electrical engineering. Electronics Nuclear engineering Mohd Falfazli, Mat Jusof Nurul Amira, Mhd Rizal Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Exponentially adaptive sine-cosine algorithm for global optimization |
| title | Exponentially adaptive sine-cosine algorithm for global optimization |
| title_full | Exponentially adaptive sine-cosine algorithm for global optimization |
| title_fullStr | Exponentially adaptive sine-cosine algorithm for global optimization |
| title_full_unstemmed | Exponentially adaptive sine-cosine algorithm for global optimization |
| title_short | Exponentially adaptive sine-cosine algorithm for global optimization |
| title_sort | exponentially adaptive sine cosine algorithm for global optimization |
| topic | QC Physics TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/29906/1/Exponentially%20adaptive%20sine-cosine%20algorithm%20for%20global%20optimization.pdf |
| work_keys_str_mv | AT mohdfalfazlimatjusof exponentiallyadaptivesinecosinealgorithmforglobaloptimization AT nurulamiramhdrizal exponentiallyadaptivesinecosinealgorithmforglobaloptimization AT ahmadazwanabdulrazak exponentiallyadaptivesinecosinealgorithmforglobaloptimization AT shuhairiemohammad exponentiallyadaptivesinecosinealgorithmforglobaloptimization AT ahmadnorkasruddinnasir exponentiallyadaptivesinecosinealgorithmforglobaloptimization |