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A simulated Kalman filter optimizer with white hole operator

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. In: International Conference on Robotics and Intelligent Systems, 12 - 14 September 2018 , Seri Pacific Hotel, Kuala Lumpur. pp. 1-6.. (Unpublished)

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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: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Optimization; Simulated Kalman Filter; White Hole
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
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: 01 Jan 2019 12:49
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