Synchronous-asynchronous simulated kalman filter algorithm with random switching
The original Simulated Kalman Filter (SKF) is an optimizer that employs synchronous update mechanism. The agents in SKF update their solutions after all fitness calculations, prediction process, and measurement process are completed. An alternative to synchronous update is asynchronous update. In as...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Universiti Malaysia Pahang
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/28582/1/31.%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf http://umpir.ump.edu.my/id/eprint/28582/2/31.1%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf |
| _version_ | 1825813380638703616 |
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| author | Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Marizan, Mubin Norrima, Mokhtar |
| author_facet | Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Marizan, Mubin Norrima, Mokhtar |
| author_sort | Zuwairie, Ibrahim |
| collection | UMP |
| description | The original Simulated Kalman Filter (SKF) is an optimizer that employs synchronous update mechanism. The agents in SKF update their solutions after all fitness calculations, prediction process, and measurement process are completed. An alternative to synchronous update is asynchronous update. In asynchronous update, only one agent does fitness calculation, prediction, measurement, and estimation processes at one time. A recent study shows that the asynchronous SKF outperforms synchronous SKF. In this study, synchronous and asynchronous mechanisms are combined in SKF. At first, the SKF starts with synchronous update. If no improved solution is found, the SKF changes its update mechanism. The decision to switch from synchronous to asynchronous or vice versa is made randomly. Using the CEC2014 benchmark test suite, experimental results indicate that the proposed synchronous-asynchronous SKF with random switching outperforms the asynchronous SKF including the synchronous SKF as well. |
| first_indexed | 2024-03-06T12:43:08Z |
| format | Conference or Workshop Item |
| id | UMPir28582 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:43:08Z |
| publishDate | 2020 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir285822021-02-08T08:57:26Z http://umpir.ump.edu.my/id/eprint/28582/ Synchronous-asynchronous simulated kalman filter algorithm with random switching Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Marizan, Mubin Norrima, Mokhtar T Technology (General) The original Simulated Kalman Filter (SKF) is an optimizer that employs synchronous update mechanism. The agents in SKF update their solutions after all fitness calculations, prediction process, and measurement process are completed. An alternative to synchronous update is asynchronous update. In asynchronous update, only one agent does fitness calculation, prediction, measurement, and estimation processes at one time. A recent study shows that the asynchronous SKF outperforms synchronous SKF. In this study, synchronous and asynchronous mechanisms are combined in SKF. At first, the SKF starts with synchronous update. If no improved solution is found, the SKF changes its update mechanism. The decision to switch from synchronous to asynchronous or vice versa is made randomly. Using the CEC2014 benchmark test suite, experimental results indicate that the proposed synchronous-asynchronous SKF with random switching outperforms the asynchronous SKF including the synchronous SKF as well. Universiti Malaysia Pahang 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28582/1/31.%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf pdf en http://umpir.ump.edu.my/id/eprint/28582/2/31.1%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf Zuwairie, Ibrahim and Nor Azlina, Ab. Aziz and Marizan, Mubin and Norrima, Mokhtar (2020) Synchronous-asynchronous simulated kalman filter algorithm with random switching. In: International Conference on Communication, Electrical, and Computer Networks , 25-26 January 2020 , University of Malaya. pp. 1-5.. (Unpublished) (Unpublished) |
| spellingShingle | T Technology (General) Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Marizan, Mubin Norrima, Mokhtar Synchronous-asynchronous simulated kalman filter algorithm with random switching |
| title | Synchronous-asynchronous simulated kalman filter algorithm with random switching |
| title_full | Synchronous-asynchronous simulated kalman filter algorithm with random switching |
| title_fullStr | Synchronous-asynchronous simulated kalman filter algorithm with random switching |
| title_full_unstemmed | Synchronous-asynchronous simulated kalman filter algorithm with random switching |
| title_short | Synchronous-asynchronous simulated kalman filter algorithm with random switching |
| title_sort | synchronous asynchronous simulated kalman filter algorithm with random switching |
| topic | T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/28582/1/31.%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf http://umpir.ump.edu.my/id/eprint/28582/2/31.1%20Synchronous-asynchronous%20simulated%20kalman%20filter%20algorithm%20with%20random%20switching.pdf |
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