Citation

Ab Aziz, Nor Azlina and Abdul Aziz, Nor Hidayati and Ibrahim, Zuwairie and Ab Rahman, Tasiransurini (2018) Asynchronous Simulated Kalman Filter Optimization Algorithm. International Journal of Engineering and Technology(UAE), 7 (4.27). pp. 44-49. ISSN 2227-524X

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Abstract

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 completed all 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.

Item Type:	Article
Uncontrolled Keywords:	Kalman filtering, Simulated Kalman Filter, Optimization, Asynchronous
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	16 Aug 2021 14:18
Last Modified:	19 Aug 2021 06:00
URII:	http://shdl.mmu.edu.my/id/eprint/7689

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