A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer

Simulated Kalman Filter (SKF) is a population-based optimizer introduced in 2015 that is based on Kalman filtering, which consists of prediction, measurement, and estimation processes. The original SKF algorithm employs synchronous update mechanism in which the agents in SKF update their solutions a...

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Main Authors:	Nor Azlina, Ab. Aziz, Marizan, Mubin, Zuwairie, Ibrahim, Norrima, Mokhtar, Nor Hidayati, Abdul Aziz, Mohd Ibrahim, Shapiai
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2019
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/24944/ http://umpir.ump.edu.my/id/eprint/24944/ http://umpir.ump.edu.my/id/eprint/24944/1/41.1%20A%20fitness-based%20adaptive%20synchronous-asynchronous%20switching.pdf http://umpir.ump.edu.my/id/eprint/24944/7/A%20fitness-based%20adaptive%20synchronous-asynchronous%20switching%20in%20simulated%20kalman%20filter%20optimizer.pdf

id	ump-24944
recordtype	eprints
spelling	ump-249442019-10-24T03:49:32Z http://umpir.ump.edu.my/id/eprint/24944/ A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer Nor Azlina, Ab. Aziz Marizan, Mubin Zuwairie, Ibrahim Norrima, Mokhtar Nor Hidayati, Abdul Aziz Mohd Ibrahim, Shapiai TS Manufactures Simulated Kalman Filter (SKF) is a population-based optimizer introduced in 2015 that is based on Kalman filtering, which consists of prediction, measurement, and estimation processes. The original SKF algorithm employs synchronous update mechanism in which the agents in SKF update their solutions after all fitness calculations, prediction process, and measurement process are completed. An alternative to synchronous update is asynchronous update. In asynchronous update, only one agent does fitness calculation, prediction, measurement, and estimation processes at one time. In this study, synchronous and asynchronous mechanisms are combined in SKF. At first, the SKF starts with synchronous update. If no improved solution is found, the SKF changes its update mechanism. Using the CEC2014 benchmark test suite, experimental results indicate that the proposed adaptive switching synchronous-asynchronous SKF outperforms the original SKF significantly. IEEE 2019-05 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24944/1/41.1%20A%20fitness-based%20adaptive%20synchronous-asynchronous%20switching.pdf pdf en http://umpir.ump.edu.my/id/eprint/24944/7/A%20fitness-based%20adaptive%20synchronous-asynchronous%20switching%20in%20simulated%20kalman%20filter%20optimizer.pdf Nor Azlina, Ab. Aziz and Marizan, Mubin and Zuwairie, Ibrahim and Norrima, Mokhtar and Nor Hidayati, Abdul Aziz and Mohd Ibrahim, Shapiai (2019) A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer. In: International Conference on Computer and Information Sciences, ICCIS 2019, 3 - 4 April 2019 , Jouf University, Aljouf, Kingdom of Saudi Arabia. pp. 1-5.. ISBN 978-153868125-1 https://doi.org/10.1109/ICCISci.2019.8716393
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TS Manufactures
spellingShingle	TS Manufactures Nor Azlina, Ab. Aziz Marizan, Mubin Zuwairie, Ibrahim Norrima, Mokhtar Nor Hidayati, Abdul Aziz Mohd Ibrahim, Shapiai A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer
description	Simulated Kalman Filter (SKF) is a population-based optimizer introduced in 2015 that is based on Kalman filtering, which consists of prediction, measurement, and estimation processes. The original SKF algorithm employs synchronous update mechanism in which the agents in SKF update their solutions after all fitness calculations, prediction process, and measurement process are completed. An alternative to synchronous update is asynchronous update. In asynchronous update, only one agent does fitness calculation, prediction, measurement, and estimation processes at one time. In this study, synchronous and asynchronous mechanisms are combined in SKF. At first, the SKF starts with synchronous update. If no improved solution is found, the SKF changes its update mechanism. Using the CEC2014 benchmark test suite, experimental results indicate that the proposed adaptive switching synchronous-asynchronous SKF outperforms the original SKF significantly.
format	Conference or Workshop Item
author	Nor Azlina, Ab. Aziz Marizan, Mubin Zuwairie, Ibrahim Norrima, Mokhtar Nor Hidayati, Abdul Aziz Mohd Ibrahim, Shapiai
author_facet	Nor Azlina, Ab. Aziz Marizan, Mubin Zuwairie, Ibrahim Norrima, Mokhtar Nor Hidayati, Abdul Aziz Mohd Ibrahim, Shapiai
author_sort	Nor Azlina, Ab. Aziz
title	A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer
title_short	A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer
title_full	A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer
title_fullStr	A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer
title_full_unstemmed	A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer
title_sort	fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer
publisher	IEEE
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24944/ http://umpir.ump.edu.my/id/eprint/24944/ http://umpir.ump.edu.my/id/eprint/24944/1/41.1%20A%20fitness-based%20adaptive%20synchronous-asynchronous%20switching.pdf http://umpir.ump.edu.my/id/eprint/24944/7/A%20fitness-based%20adaptive%20synchronous-asynchronous%20switching%20in%20simulated%20kalman%20filter%20optimizer.pdf
first_indexed	2023-09-18T22:38:01Z
last_indexed	2023-09-18T22:38:01Z
_version_	1777416726888054784

A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer

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