Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration

In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. This new algorithm is inspired by the estimation capability of the Kalman Filter. In principle, state estimation problem is regarded as an optimization problem, and each age...

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Main Authors:	Abdulbari, Hayder A., Fiona Ling, Wang Ming
Format:	Conference or Workshop Item
Language:	English English
Published:	2016
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/9547/ http://umpir.ump.edu.my/id/eprint/9547/1/Liquid%20Flow%20Enhancement%20using%20Natural%20Polymeric%20Additives-%20Effect%20of%20Concentration.pdf http://umpir.ump.edu.my/id/eprint/9547/7/fkksa-2016-hayder-Liquid%20Flow%20Enhancement%20using%20Natural%20Polymeric%20Additives.pdf

id	ump-9547
recordtype	eprints
spelling	ump-95472018-01-11T07:25:31Z http://umpir.ump.edu.my/id/eprint/9547/ Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration Abdulbari, Hayder A. Fiona Ling, Wang Ming TP Chemical technology In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. This new algorithm is inspired by the estimation capability of the Kalman Filter. In principle, state estimation problem is regarded as an optimization problem, and each agent in SKF acts as a Kalman Filter. An agent in the population finds solution to optimization problem using a standard Kalman Filter framework, which includes a simulated measurement process and a best-so-far solution as a reference. To evaluate the performance of the Simulated Kalman Filter algorithm, it is applied to 30 benchmark functions of CEC 2014 for real-parameter single objective optimization problems. Statistical analysis is then carried out to rank SKF results to those obtained by other metaheuristic algorithms. The experimental results show that the proposed SKF algorithm is a promising approach, and has a comparable performance to some well-known metaheuristic algorithms. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9547/1/Liquid%20Flow%20Enhancement%20using%20Natural%20Polymeric%20Additives-%20Effect%20of%20Concentration.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/9547/7/fkksa-2016-hayder-Liquid%20Flow%20Enhancement%20using%20Natural%20Polymeric%20Additives.pdf Abdulbari, Hayder A. and Fiona Ling, Wang Ming (2016) Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration. In: 9th International Conference on Thermal Engineering: Theory and Application, 24-26 March 2016 , Abu Dhabi, UAE. pp. 1-3.. ISSN 1051-8215
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Abdulbari, Hayder A. Fiona Ling, Wang Ming Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration
description	In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. This new algorithm is inspired by the estimation capability of the Kalman Filter. In principle, state estimation problem is regarded as an optimization problem, and each agent in SKF acts as a Kalman Filter. An agent in the population finds solution to optimization problem using a standard Kalman Filter framework, which includes a simulated measurement process and a best-so-far solution as a reference. To evaluate the performance of the Simulated Kalman Filter algorithm, it is applied to 30 benchmark functions of CEC 2014 for real-parameter single objective optimization problems. Statistical analysis is then carried out to rank SKF results to those obtained by other metaheuristic algorithms. The experimental results show that the proposed SKF algorithm is a promising approach, and has a comparable performance to some well-known metaheuristic algorithms.
format	Conference or Workshop Item
author	Abdulbari, Hayder A. Fiona Ling, Wang Ming
author_facet	Abdulbari, Hayder A. Fiona Ling, Wang Ming
author_sort	Abdulbari, Hayder A.
title	Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration
title_short	Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration
title_full	Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration
title_fullStr	Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration
title_full_unstemmed	Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration
title_sort	liquid flow enhancement using natural polymeric additives: effect of concentration
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/9547/ http://umpir.ump.edu.my/id/eprint/9547/1/Liquid%20Flow%20Enhancement%20using%20Natural%20Polymeric%20Additives-%20Effect%20of%20Concentration.pdf http://umpir.ump.edu.my/id/eprint/9547/7/fkksa-2016-hayder-Liquid%20Flow%20Enhancement%20using%20Natural%20Polymeric%20Additives.pdf
first_indexed	2023-09-18T22:08:13Z
last_indexed	2023-09-18T22:08:13Z
_version_	1777414851759439872

Liquid Flow Enhancement using Natural Polymeric Additives: Effect of Concentration

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