Asynchronous simulated kalman filter optimization algorithm
Simulated Kalman filter (SKF) is an optimization algorithm which is inspired by Kalman filtering method. SKF was introduced as synchronous population-based algorithm. This work introduced a new variation of SKF which is SKF with asynchronous update mechanism, asynchronous-SKF (ASKF). In contrast to...
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2018
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ump-229742018-12-27T07:24:30Z http://umpir.ump.edu.my/id/eprint/22974/ Asynchronous simulated kalman filter optimization algorithm Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Tasiransurini, Ab Rahman T Technology (General) TS Manufactures Simulated Kalman filter (SKF) is an optimization algorithm which is inspired by Kalman filtering method. SKF was introduced as synchronous population-based algorithm. This work introduced a new variation of SKF which is SKF with asynchronous update mechanism, asynchronous-SKF (ASKF). In contrast to the synchronous implementation where the whole population go through each optimization step as a group, in ASKF an agent starts its optimization steps only after its preceding agent has complete all of its optimization steps. The performance of ASKF is compared against SKF using CEC2014 benchmark functions, where the ASKF is found to perform significantly better than the original SKF. Science Publishing Corporation Inc. 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22974/1/90.%20Asynchronous%20simulated%20kalman%20filter%20optimization%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/22974/2/90.1%20Asynchronous%20simulated%20kalman%20filter%20optimization%20algorithm.pdf Zuwairie, Ibrahim and Nor Azlina, Ab. Aziz and Nor Hidayati, Abd Aziz and Tasiransurini, Ab Rahman (2018) Asynchronous simulated kalman filter optimization algorithm. International Journal of Engineering and Technology(UAE), 7 (4). pp. 44-49. ISSN 2227524X https://doi.org/10.14419/ijet.v7i4.27.22478 |
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T Technology (General) TS Manufactures Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Tasiransurini, Ab Rahman Asynchronous simulated kalman filter optimization algorithm |
description |
Simulated Kalman filter (SKF) is an optimization algorithm which is inspired by Kalman filtering method. SKF was introduced as synchronous population-based algorithm. This work introduced a new variation of SKF which is SKF with asynchronous update mechanism, asynchronous-SKF (ASKF). In contrast to the synchronous implementation where the whole population go through each optimization step as a group, in ASKF an agent starts its optimization steps only after its preceding agent has complete all of its optimization steps. The performance of ASKF is compared against SKF using CEC2014 benchmark functions, where the ASKF is found to perform significantly better than the original SKF. |
format |
Article |
author |
Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Tasiransurini, Ab Rahman |
author_facet |
Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abd Aziz Tasiransurini, Ab Rahman |
author_sort |
Zuwairie, Ibrahim |
title |
Asynchronous simulated kalman filter optimization algorithm |
title_short |
Asynchronous simulated kalman filter optimization algorithm |
title_full |
Asynchronous simulated kalman filter optimization algorithm |
title_fullStr |
Asynchronous simulated kalman filter optimization algorithm |
title_full_unstemmed |
Asynchronous simulated kalman filter optimization algorithm |
title_sort |
asynchronous simulated kalman filter optimization algorithm |
publisher |
Science Publishing Corporation Inc. |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/22974/ http://umpir.ump.edu.my/id/eprint/22974/ http://umpir.ump.edu.my/id/eprint/22974/1/90.%20Asynchronous%20simulated%20kalman%20filter%20optimization%20algorithm.pdf http://umpir.ump.edu.my/id/eprint/22974/2/90.1%20Asynchronous%20simulated%20kalman%20filter%20optimization%20algorithm.pdf |
first_indexed |
2023-09-18T22:34:13Z |
last_indexed |
2023-09-18T22:34:13Z |
_version_ |
1777416487164706816 |