Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer

Single-agent Finite Impulse Response Optimizer (SAFIRO) is a newly single solution-based metaheuristic optimization algorithm which mimics the work procedure of the ultimate unbiased finite impulse response (UFIR) filter. In a real UFIR filter, the horizon length, N plays an important role to obtain...

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Main Authors:	Tasiransurini, Ab Rahman, Mohd Ibrahim, Shapiai, Zuwairie, Ibrahim, Nor Hidayati, Abdul Aziz, Nor Azlina, Ab. Aziz, Mohd Saberi, Mohamad
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2019
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/24859/ http://umpir.ump.edu.my/id/eprint/24859/1/Evaluation%20of%20Different%20Horizon%20Lengths%20in%20Single-agent1.pdf

id	ump-24859
recordtype	eprints
spelling	ump-248592019-05-02T05:03:19Z http://umpir.ump.edu.my/id/eprint/24859/ Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer Tasiransurini, Ab Rahman Mohd Ibrahim, Shapiai Zuwairie, Ibrahim Nor Hidayati, Abdul Aziz Nor Azlina, Ab. Aziz Mohd Saberi, Mohamad TS Manufactures Single-agent Finite Impulse Response Optimizer (SAFIRO) is a newly single solution-based metaheuristic optimization algorithm which mimics the work procedure of the ultimate unbiased finite impulse response (UFIR) filter. In a real UFIR filter, the horizon length, N plays an important role to obtain the optimal estimation. In SAFIRO, N represents the repetition number of estimation part that needs to be done in finding an optimal solution. In the original SAFIRO, N = 4 is assigned. In this study, the effect of N towards the performance of SAFIRO is evaluated by assigning N between the range of 4 to 10. The CEC 2014 benchmark test suite is used for performance evaluations. Statistical analysis using the nonparametric Friedman test was performed to observe the performance. Experimental results show that N is a function dependent parameter where for certain functions, SAFIRO performs better with a larger value of N. However, for certain functions, SAFIRO performs better with a minimum value of N. IEEE 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24859/1/Evaluation%20of%20Different%20Horizon%20Lengths%20in%20Single-agent1.pdf Tasiransurini, Ab Rahman and Mohd Ibrahim, Shapiai and Zuwairie, Ibrahim and Nor Hidayati, Abdul Aziz and Nor Azlina, Ab. Aziz and Mohd Saberi, Mohamad (2019) Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer. In: IEEE International Conference on Computer and Information Sciences (ICCIS 2019), 3-4 April 2019 , Jouf University, Aljouf, Kingdom of Saudi Arabia. pp. 1-7.. ISBN 978-1-5386-8125-1
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Tasiransurini, Ab Rahman Mohd Ibrahim, Shapiai Zuwairie, Ibrahim Nor Hidayati, Abdul Aziz Nor Azlina, Ab. Aziz Mohd Saberi, Mohamad Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer
description	Single-agent Finite Impulse Response Optimizer (SAFIRO) is a newly single solution-based metaheuristic optimization algorithm which mimics the work procedure of the ultimate unbiased finite impulse response (UFIR) filter. In a real UFIR filter, the horizon length, N plays an important role to obtain the optimal estimation. In SAFIRO, N represents the repetition number of estimation part that needs to be done in finding an optimal solution. In the original SAFIRO, N = 4 is assigned. In this study, the effect of N towards the performance of SAFIRO is evaluated by assigning N between the range of 4 to 10. The CEC 2014 benchmark test suite is used for performance evaluations. Statistical analysis using the nonparametric Friedman test was performed to observe the performance. Experimental results show that N is a function dependent parameter where for certain functions, SAFIRO performs better with a larger value of N. However, for certain functions, SAFIRO performs better with a minimum value of N.
format	Conference or Workshop Item
author	Tasiransurini, Ab Rahman Mohd Ibrahim, Shapiai Zuwairie, Ibrahim Nor Hidayati, Abdul Aziz Nor Azlina, Ab. Aziz Mohd Saberi, Mohamad
author_facet	Tasiransurini, Ab Rahman Mohd Ibrahim, Shapiai Zuwairie, Ibrahim Nor Hidayati, Abdul Aziz Nor Azlina, Ab. Aziz Mohd Saberi, Mohamad
author_sort	Tasiransurini, Ab Rahman
title	Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer
title_short	Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer
title_full	Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer
title_fullStr	Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer
title_full_unstemmed	Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer
title_sort	evaluation of different horizon lengths in single-agent finite impulse response optimizer
publisher	IEEE
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24859/ http://umpir.ump.edu.my/id/eprint/24859/1/Evaluation%20of%20Different%20Horizon%20Lengths%20in%20Single-agent1.pdf
first_indexed	2023-09-18T22:37:52Z
last_indexed	2023-09-18T22:37:52Z
_version_	1777416716895125504

Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer

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