MARC表示: An oppositional learning prediction operator for simulated kalman filter

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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主要な著者:	Zuwairie, Ibrahim, Kamil Zakwan, Mohd Azmi, Badaruddin, Muhammad, Mohd Falfazli, Mat Jusof, Nor Azlina, Alias, Nor Hidayati, Abdul Aziz, Mohd Ibrahim, Shapiai
フォーマット:	Conference or Workshop Item
言語:	English English
出版事項:	2018
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	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 http://umpir.ump.edu.my/id/eprint/22171/
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id	my.ump.umpir.22171
record_format	eprints
spelling	my.ump.umpir.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)
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
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/22171/1/9.%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 http://umpir.ump.edu.my/id/eprint/22171/
_version_	1822920329773711360
score	13.251813

An oppositional learning prediction operator for simulated kalman filter

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