A Kalman-Filter-Based Sine-Cosine Algorithm
This paper presents a Kalman-Filter-based Sine Cosine algorithm (KFSCA). It is a synergy of a Simulated Kalman Filter (SKF) algorithm and a Sine Cosine (SCA) algorithm. SKF is a random based optimization algorithm inspired from the Kalman Filter theory. A Kalman gain is formulated following the pred...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Universiti Malaysia Pahang
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/24444/1/105.%20A%20kalman-filter-based%20sine-cosine%20algorithm.pdf |
| _version_ | 1825812610340093952 |
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| author | Mohd Falfazli, Mat Jusof Shuhairie, Mohammad Ahmad Azwan, Abd Razak Ahmad Nor Kasruddin, Nasir Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Addie Irawan, Hashim |
| author_facet | Mohd Falfazli, Mat Jusof Shuhairie, Mohammad Ahmad Azwan, Abd Razak Ahmad Nor Kasruddin, Nasir Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Addie Irawan, Hashim |
| author_sort | Mohd Falfazli, Mat Jusof |
| collection | UMP |
| description | This paper presents a Kalman-Filter-based Sine Cosine algorithm (KFSCA). It is a synergy of a Simulated Kalman Filter (SKF) algorithm and a Sine Cosine (SCA) algorithm. SKF is a random based optimization algorithm inspired from the Kalman Filter theory. A Kalman gain is formulated following the prediction, measurement and estimation steps of the Kalman filter design. The Kalman gain is utilized to introduce a dynamic step size of a search agent in the SKF algorithm. On the other hand, a Sine Cosine algorithm is formulated based on mathematical sine and cosine terms. A random based searching strategy is formulated through a little modification on both of the terms. In the KFSCA, a Kalman gain is introduced to vary an individual agent’s step and thus balances exploration and exploitation strategies of the original SCA. Cost function value that represent an accuracy of a solution is considered as the ultimate goal. Every single agent carries an information about the accuracy of a solution in which will be used to compare with other solutions from other agents. A solution that has a lower cost function is considered as the best solution. The algorithm is tested with various benchmark functions and compared with the original SCA algorithm. Result of the analysis on the accuracy tested on the benchmark functions is tabulated in a table form and shows that the proposed algorithm outperforms SCA significantly. The result also is presented in a graphical form to have a clearer visual on the solution. |
| first_indexed | 2024-03-06T12:31:43Z |
| format | Conference or Workshop Item |
| id | UMPir24444 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:31:43Z |
| publishDate | 2019 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir244442020-09-07T08:59:59Z http://umpir.ump.edu.my/id/eprint/24444/ A Kalman-Filter-Based Sine-Cosine Algorithm Mohd Falfazli, Mat Jusof Shuhairie, Mohammad Ahmad Azwan, Abd Razak Ahmad Nor Kasruddin, Nasir Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Addie Irawan, Hashim TK Electrical engineering. Electronics Nuclear engineering This paper presents a Kalman-Filter-based Sine Cosine algorithm (KFSCA). It is a synergy of a Simulated Kalman Filter (SKF) algorithm and a Sine Cosine (SCA) algorithm. SKF is a random based optimization algorithm inspired from the Kalman Filter theory. A Kalman gain is formulated following the prediction, measurement and estimation steps of the Kalman filter design. The Kalman gain is utilized to introduce a dynamic step size of a search agent in the SKF algorithm. On the other hand, a Sine Cosine algorithm is formulated based on mathematical sine and cosine terms. A random based searching strategy is formulated through a little modification on both of the terms. In the KFSCA, a Kalman gain is introduced to vary an individual agent’s step and thus balances exploration and exploitation strategies of the original SCA. Cost function value that represent an accuracy of a solution is considered as the ultimate goal. Every single agent carries an information about the accuracy of a solution in which will be used to compare with other solutions from other agents. A solution that has a lower cost function is considered as the best solution. The algorithm is tested with various benchmark functions and compared with the original SCA algorithm. Result of the analysis on the accuracy tested on the benchmark functions is tabulated in a table form and shows that the proposed algorithm outperforms SCA significantly. The result also is presented in a graphical form to have a clearer visual on the solution. Universiti Malaysia Pahang 2019-10 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24444/1/105.%20A%20kalman-filter-based%20sine-cosine%20algorithm.pdf Mohd Falfazli, Mat Jusof and Shuhairie, Mohammad and Ahmad Azwan, Abd Razak and Ahmad Nor Kasruddin, Nasir and Mohd Riduwan, Ghazali and Mohd Ashraf, Ahmad and Addie Irawan, Hashim (2019) A Kalman-Filter-Based Sine-Cosine Algorithm. In: 2018 IEEE International Conference On Automatic Control And Intelligent Systems (I2CACIS2018) , 20 Oktober 2018 , Shah Alam, Selangor, Malaysia. pp. 137-141.. ISBN 978-1-5386-5654-9 (Published) https://doi.org/10.1109/I2CACIS.2018.8603711 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Falfazli, Mat Jusof Shuhairie, Mohammad Ahmad Azwan, Abd Razak Ahmad Nor Kasruddin, Nasir Mohd Riduwan, Ghazali Mohd Ashraf, Ahmad Addie Irawan, Hashim A Kalman-Filter-Based Sine-Cosine Algorithm |
| title | A Kalman-Filter-Based Sine-Cosine Algorithm |
| title_full | A Kalman-Filter-Based Sine-Cosine Algorithm |
| title_fullStr | A Kalman-Filter-Based Sine-Cosine Algorithm |
| title_full_unstemmed | A Kalman-Filter-Based Sine-Cosine Algorithm |
| title_short | A Kalman-Filter-Based Sine-Cosine Algorithm |
| title_sort | kalman filter based sine cosine algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/24444/1/105.%20A%20kalman-filter-based%20sine-cosine%20algorithm.pdf |
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