Simulated kalman filter algorithm with improved accuracy
This paper presents an improved Simulated Kalman Filter optimiza-tion algorithm. It is a further enhancement of a Simulated Kalman Filter (SKF) optimization algorithm. SKF is a random based optimization algorithm inspired from Kalman Filter theory. An exponential term is introduced into Estimation s...
| Main Authors: | , , , , , , |
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| Format: | Book Chapter |
| Language: | English English English |
| Published: |
Springer Singapore
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/22658/1/9.%20Simulated%20kalman%20filter%20algorithm%20with%20improved%20accuracy.pdf http://umpir.ump.edu.my/id/eprint/22658/8/46.%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf http://umpir.ump.edu.my/id/eprint/22658/9/46.1%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf |
| _version_ | 1825812338055315456 |
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| author | Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Mohd Helmi, Suid Mohd Ashraf, Ahmad Zuwairie, Ibrahim |
| author_facet | Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Mohd Helmi, Suid Mohd Ashraf, Ahmad Zuwairie, Ibrahim |
| author_sort | Mohd Falfazli, Mat Jusof |
| collection | UMP |
| description | This paper presents an improved Simulated Kalman Filter optimiza-tion algorithm. It is a further enhancement of a Simulated Kalman Filter (SKF) optimization algorithm. SKF is a random based optimization algorithm inspired from Kalman Filter theory. An exponential term is introduced into Estimation stage of SKF to speed up the searching process and gain more chances in find-ing better solutions. 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 so-lutions from other agents. A solution that has a lower cost function is consid-ered as the best solution. The algorithm is tested with various benchmark func-tions and compared with the original SKF algorithm. Result of the analysis on the accuracy tested on the benchmark functions shows that the proposed algo-rithm outperforms SKF significantly. |
| first_indexed | 2024-03-06T12:27:40Z |
| format | Book Chapter |
| id | UMPir22658 |
| institution | Universiti Malaysia Pahang |
| language | English English English |
| last_indexed | 2024-03-06T12:27:40Z |
| publishDate | 2018 |
| publisher | Springer Singapore |
| record_format | dspace |
| spelling | UMPir226582019-05-27T07:11:19Z http://umpir.ump.edu.my/id/eprint/22658/ Simulated kalman filter algorithm with improved accuracy Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Mohd Helmi, Suid Mohd Ashraf, Ahmad Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering TS Manufactures This paper presents an improved Simulated Kalman Filter optimiza-tion algorithm. It is a further enhancement of a Simulated Kalman Filter (SKF) optimization algorithm. SKF is a random based optimization algorithm inspired from Kalman Filter theory. An exponential term is introduced into Estimation stage of SKF to speed up the searching process and gain more chances in find-ing better solutions. 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 so-lutions from other agents. A solution that has a lower cost function is consid-ered as the best solution. The algorithm is tested with various benchmark func-tions and compared with the original SKF algorithm. Result of the analysis on the accuracy tested on the benchmark functions shows that the proposed algo-rithm outperforms SKF significantly. Springer Singapore 2018 Book Chapter PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22658/1/9.%20Simulated%20kalman%20filter%20algorithm%20with%20improved%20accuracy.pdf pdf en http://umpir.ump.edu.my/id/eprint/22658/8/46.%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf pdf en http://umpir.ump.edu.my/id/eprint/22658/9/46.1%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf Mohd Falfazli, Mat Jusof and Ahmad Azwan, Abdul Razak and Shuhairie, Mohammad and Ahmad Nor Kasruddin, Nasir and Mohd Helmi, Suid and Mohd Ashraf, Ahmad and Zuwairie, Ibrahim (2018) Simulated kalman filter algorithm with improved accuracy. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 343-351. ISBN 978-981-13-3708-6 https://link.springer.com/chapter/10.1007/978-981-13-3708-6_29 DOI: https://doi.org/10.1007/978-981-13-3708-6_29 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Mohd Helmi, Suid Mohd Ashraf, Ahmad Zuwairie, Ibrahim Simulated kalman filter algorithm with improved accuracy |
| title | Simulated kalman filter algorithm with improved accuracy |
| title_full | Simulated kalman filter algorithm with improved accuracy |
| title_fullStr | Simulated kalman filter algorithm with improved accuracy |
| title_full_unstemmed | Simulated kalman filter algorithm with improved accuracy |
| title_short | Simulated kalman filter algorithm with improved accuracy |
| title_sort | simulated kalman filter algorithm with improved accuracy |
| topic | TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/22658/1/9.%20Simulated%20kalman%20filter%20algorithm%20with%20improved%20accuracy.pdf http://umpir.ump.edu.my/id/eprint/22658/8/46.%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf http://umpir.ump.edu.my/id/eprint/22658/9/46.1%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf |
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