An oppositional learning prediction operator for simulated kalman filter

Simulated Kalman filter (SKF) is a recent metaheuristic optimization algorithm established in 2015. In the present study, we introduce a prediction operator in SKF to prolong its exploration and to avoid premature convergence. The proposed prediction operator is based on oppositional learning. The r...

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Main Authors:	Zuwairie, Ibrahim, Kamil Zakwan, Mohd Azmi, Badaruddin, Muhammad, Mohd Falfazli, Mat Jusof, Nor Azlina, Alias, Nor Hidayati, Abdul Aziz, Mohd Ibrahim, Shapiai
Format:	Conference or Workshop Item
Language:	English English
Published:	2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/22171/ http://umpir.ump.edu.my/id/eprint/22171/1/9.%20An%20Oppostional%20Learning%20Prediction%20Operator%20For%20Simulated%20Kalman%20Filter.pdf http://umpir.ump.edu.my/id/eprint/22171/2/9.1%20An%20Oppostional%20Learning%20Prediction%20Operator%20For%20Simulated%20Kalman%20Filter.pdf

id	ump-22171
recordtype	eprints
spelling	ump-221712018-12-07T06:54:46Z http://umpir.ump.edu.my/id/eprint/22171/ An oppositional learning prediction operator for simulated kalman filter Zuwairie, Ibrahim Kamil Zakwan, Mohd Azmi Badaruddin, Muhammad Mohd Falfazli, Mat Jusof Nor Azlina, Alias Nor Hidayati, Abdul Aziz Mohd Ibrahim, Shapiai TK Electrical engineering. Electronics Nuclear engineering Simulated Kalman filter (SKF) is a recent metaheuristic optimization algorithm established in 2015. In the present study, we introduce a prediction operator in SKF to prolong its exploration and to avoid premature convergence. The proposed prediction operator is based on oppositional learning. The results show that using CEC2014 as benchmark problems, the SKF algorithm with oppositional learning prediction operator outperforms the original SKF algorithm in most cases. 2018-05 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22171/1/9.%20An%20Oppostional%20Learning%20Prediction%20Operator%20For%20Simulated%20Kalman%20Filter.pdf pdf en http://umpir.ump.edu.my/id/eprint/22171/2/9.1%20An%20Oppostional%20Learning%20Prediction%20Operator%20For%20Simulated%20Kalman%20Filter.pdf Zuwairie, Ibrahim and Kamil Zakwan, Mohd Azmi and Badaruddin, Muhammad and Mohd Falfazli, Mat Jusof and Nor Azlina, Alias and Nor Hidayati, Abdul Aziz and Mohd Ibrahim, Shapiai (2018) An oppositional learning prediction operator for simulated kalman filter. In: 3th International Conference on Computational Intelligence and Applications 2018, 28 - 30 July 2018 , Hong Kong. pp. 1-5.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Zuwairie, Ibrahim Kamil Zakwan, Mohd Azmi Badaruddin, Muhammad Mohd Falfazli, Mat Jusof Nor Azlina, Alias Nor Hidayati, Abdul Aziz Mohd Ibrahim, Shapiai An oppositional learning prediction operator for simulated kalman filter
description	Simulated Kalman filter (SKF) is a recent metaheuristic optimization algorithm established in 2015. In the present study, we introduce a prediction operator in SKF to prolong its exploration and to avoid premature convergence. The proposed prediction operator is based on oppositional learning. The results show that using CEC2014 as benchmark problems, the SKF algorithm with oppositional learning prediction operator outperforms the original SKF algorithm in most cases.
format	Conference or Workshop Item
author	Zuwairie, Ibrahim Kamil Zakwan, Mohd Azmi Badaruddin, Muhammad Mohd Falfazli, Mat Jusof Nor Azlina, Alias Nor Hidayati, Abdul Aziz Mohd Ibrahim, Shapiai
author_facet	Zuwairie, Ibrahim Kamil Zakwan, Mohd Azmi Badaruddin, Muhammad Mohd Falfazli, Mat Jusof Nor Azlina, Alias Nor Hidayati, Abdul Aziz Mohd Ibrahim, Shapiai
author_sort	Zuwairie, Ibrahim
title	An oppositional learning prediction operator for simulated kalman filter
title_short	An oppositional learning prediction operator for simulated kalman filter
title_full	An oppositional learning prediction operator for simulated kalman filter
title_fullStr	An oppositional learning prediction operator for simulated kalman filter
title_full_unstemmed	An oppositional learning prediction operator for simulated kalman filter
title_sort	oppositional learning prediction operator for simulated kalman filter
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/22171/ http://umpir.ump.edu.my/id/eprint/22171/1/9.%20An%20Oppostional%20Learning%20Prediction%20Operator%20For%20Simulated%20Kalman%20Filter.pdf http://umpir.ump.edu.my/id/eprint/22171/2/9.1%20An%20Oppostional%20Learning%20Prediction%20Operator%20For%20Simulated%20Kalman%20Filter.pdf
first_indexed	2023-09-18T22:32:51Z
last_indexed	2023-09-18T22:32:51Z
_version_	1777416401713102848

An oppositional learning prediction operator for simulated kalman filter

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