Zuwairie, Ibrahim and Suad Khairi, Mohammed and Badaruddin, Muhammad and Nor Azlina, Ab. Aziz and Nor Hidayati, Abdul Aziz and Tasiransurini, Ab Rahman and Norazian, Subari (2018) A simulated Kalman filter optimizer with white hole operator. International Journal of Engineering & Technology (IJET), 7 (4.36). pp. 420-425. ISSN 2227-524X. (Published)
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Abstract
The simulated Kalman filter (SKF) is a population-based optimization algorithm that was developed based on a well-known estimator called Kalman filter. Meanwhile, a white hole operator has been recently introduced to prevent premature convergence in black hole algorithm (BHA). The computation of white hole operator begins by selecting the worst agent as the white hole with event horizon. If an agent is located within the event horizon of white hole, the agent is pushed by the white hole. In this study, the white hole operator is used to improve the effectiveness of the SKF optimizer. A comprehensive experiment is done to prove the improvements of the SKF optimizer.
| Item Type: | Article |
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| Uncontrolled Keywords: | Optimization; Simulated Kalman Filter; White Hole |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering Faculty of Manufacturing Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 01 Jan 2019 12:49 |
| Last Modified: | 02 Jun 2023 01:34 |
| URI: | http://umpir.ump.edu.my/id/eprint/22975 |
| Download Statistic: | View Download Statistics |
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