Simulated kalman filter algorithm with improved accuracy

This paper presents an improved Simulated Kalman Filter optimiza-tion algorithm. It is a further enhancement of a Simulated Kalman Filter (SKF) optimization algorithm. SKF is a random based optimization algorithm inspired from Kalman Filter theory. An exponential term is introduced into Estimation s...

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Main Authors:	Mohd Falfazli, Mat Jusof, Ahmad Azwan, Abdul Razak, Shuhairie, Mohammad, Ahmad Nor Kasruddin, Nasir, Mohd Helmi, Suid, Mohd Ashraf, Ahmad, Zuwairie, Ibrahim
Format:	Book Section
Language:	English English English
Published:	Springer Singapore 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/22658/ http://umpir.ump.edu.my/id/eprint/22658/ http://umpir.ump.edu.my/id/eprint/22658/ http://umpir.ump.edu.my/id/eprint/22658/1/9.%20Simulated%20kalman%20filter%20algorithm%20with%20improved%20accuracy.pdf http://umpir.ump.edu.my/id/eprint/22658/8/46.%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf http://umpir.ump.edu.my/id/eprint/22658/9/46.1%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf

id	ump-22658
recordtype	eprints
spelling	ump-226582019-05-27T07:11:19Z http://umpir.ump.edu.my/id/eprint/22658/ Simulated kalman filter algorithm with improved accuracy Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Mohd Helmi, Suid Mohd Ashraf, Ahmad Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering TS Manufactures This paper presents an improved Simulated Kalman Filter optimiza-tion algorithm. It is a further enhancement of a Simulated Kalman Filter (SKF) optimization algorithm. SKF is a random based optimization algorithm inspired from Kalman Filter theory. An exponential term is introduced into Estimation stage of SKF to speed up the searching process and gain more chances in find-ing better solutions. Cost function value that represent an accuracy of a solution is considered as the ultimate goal. Every single agent carries an information about the accuracy of a solution in which will be used to compare with other so-lutions from other agents. A solution that has a lower cost function is consid-ered as the best solution. The algorithm is tested with various benchmark func-tions and compared with the original SKF algorithm. Result of the analysis on the accuracy tested on the benchmark functions shows that the proposed algo-rithm outperforms SKF significantly. Springer Singapore 2018 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22658/1/9.%20Simulated%20kalman%20filter%20algorithm%20with%20improved%20accuracy.pdf pdf en http://umpir.ump.edu.my/id/eprint/22658/8/46.%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf pdf en http://umpir.ump.edu.my/id/eprint/22658/9/46.1%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf Mohd Falfazli, Mat Jusof and Ahmad Azwan, Abdul Razak and Shuhairie, Mohammad and Ahmad Nor Kasruddin, Nasir and Mohd Helmi, Suid and Mohd Ashraf, Ahmad and Zuwairie, Ibrahim (2018) Simulated kalman filter algorithm with improved accuracy. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 343-351. ISBN 978-981-13-3708-6 https://link.springer.com/chapter/10.1007/978-981-13-3708-6_29 DOI: https://doi.org/10.1007/978-981-13-3708-6_29
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
topic	TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Mohd Helmi, Suid Mohd Ashraf, Ahmad Zuwairie, Ibrahim Simulated kalman filter algorithm with improved accuracy
description	This paper presents an improved Simulated Kalman Filter optimiza-tion algorithm. It is a further enhancement of a Simulated Kalman Filter (SKF) optimization algorithm. SKF is a random based optimization algorithm inspired from Kalman Filter theory. An exponential term is introduced into Estimation stage of SKF to speed up the searching process and gain more chances in find-ing better solutions. Cost function value that represent an accuracy of a solution is considered as the ultimate goal. Every single agent carries an information about the accuracy of a solution in which will be used to compare with other so-lutions from other agents. A solution that has a lower cost function is consid-ered as the best solution. The algorithm is tested with various benchmark func-tions and compared with the original SKF algorithm. Result of the analysis on the accuracy tested on the benchmark functions shows that the proposed algo-rithm outperforms SKF significantly.
format	Book Section
author	Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Mohd Helmi, Suid Mohd Ashraf, Ahmad Zuwairie, Ibrahim
author_facet	Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Mohd Helmi, Suid Mohd Ashraf, Ahmad Zuwairie, Ibrahim
author_sort	Mohd Falfazli, Mat Jusof
title	Simulated kalman filter algorithm with improved accuracy
title_short	Simulated kalman filter algorithm with improved accuracy
title_full	Simulated kalman filter algorithm with improved accuracy
title_fullStr	Simulated kalman filter algorithm with improved accuracy
title_full_unstemmed	Simulated kalman filter algorithm with improved accuracy
title_sort	simulated kalman filter algorithm with improved accuracy
publisher	Springer Singapore
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/22658/ http://umpir.ump.edu.my/id/eprint/22658/ http://umpir.ump.edu.my/id/eprint/22658/ http://umpir.ump.edu.my/id/eprint/22658/1/9.%20Simulated%20kalman%20filter%20algorithm%20with%20improved%20accuracy.pdf http://umpir.ump.edu.my/id/eprint/22658/8/46.%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf http://umpir.ump.edu.my/id/eprint/22658/9/46.1%20Simulated%20Kalman%20Filter%20algorithm%20with%20improved%20accuracy.pdf
first_indexed	2023-09-18T22:33:52Z
last_indexed	2023-09-18T22:33:52Z
_version_	1777416465463377920

Simulated kalman filter algorithm with improved accuracy

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