A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO

Single-agent Finite Impulse Response Optimizer (SAFIRO) is a recently proposed metaheuristic optimization algorithm which adopted the procedure of the ultimate unbiased finite impulse response filter (UFIR) in state estimation. In SAFIRO, a random mutation with shrinking local neighborhood method is...

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Main Authors:	Tasiransurini, Ab Rahman, Zuwairie, Ibrahim, Nor Azlina, Ab. Aziz, Nor Hidayati, Abdul Aziz, Suad Khairi, Mohammed, Badaruddin, Muhammad, Zulkifli, Md. Yusof
Format:	Article
Language:	English
Published:	Science Publishing Corporation 2018
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/24837/ http://umpir.ump.edu.my/id/eprint/24837/ http://umpir.ump.edu.my/id/eprint/24837/1/A%20Study%20on%20the%20Effect%20of%20Local%20Neighbourhood%20Parameter%20%20towards%20the%20Performance%20of%20SAFIRO.pdf

id	ump-24837
recordtype	eprints
spelling	ump-248372019-10-09T06:14:01Z http://umpir.ump.edu.my/id/eprint/24837/ A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO Tasiransurini, Ab Rahman Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abdul Aziz Suad Khairi, Mohammed Badaruddin, Muhammad Zulkifli, Md. Yusof TJ Mechanical engineering and machinery Single-agent Finite Impulse Response Optimizer (SAFIRO) is a recently proposed metaheuristic optimization algorithm which adopted the procedure of the ultimate unbiased finite impulse response filter (UFIR) in state estimation. In SAFIRO, a random mutation with shrinking local neighborhood method is employed during measurement phase to balance the exploration and the exploitation process. Beta, β, is one of the parameters used in the local neighborhood to control the step size. In this study, the effect of β towards the performance of SAFIRO is observed by assigning the value of 1, 5, 10, 15, and 20. The best setting of β for SAFIRO is also determined. The CEC2014 Benchmark Test Suite is used to evaluate the SAFIRO performance with different β values. Results show that the performance of β is depending on the problems to be optimized. 17 out of 30 functions show the best performance of SAFIRO by setting β = 10. Statistical analysis using Friedman test and Holm post hoc test were performed to rank the performance. β = 10 has the highest rank where its performance is significantly better than other values, but equivalent to β = 5 and β = 15. Hence, it is recommended to tune the β for best performance, however, β = 10 is a good value to be used in SAFIRO for solving optimization problems. Science Publishing Corporation 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24837/1/A%20Study%20on%20the%20Effect%20of%20Local%20Neighbourhood%20Parameter%20%20towards%20the%20Performance%20of%20SAFIRO.pdf Tasiransurini, Ab Rahman and Zuwairie, Ibrahim and Nor Azlina, Ab. Aziz and Nor Hidayati, Abdul Aziz and Suad Khairi, Mohammed and Badaruddin, Muhammad and Zulkifli, Md. Yusof (2018) A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO. International Journal of Engineering & Technology, 7 (4.27). pp. 30-37. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/22476
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Tasiransurini, Ab Rahman Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abdul Aziz Suad Khairi, Mohammed Badaruddin, Muhammad Zulkifli, Md. Yusof A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO
description	Single-agent Finite Impulse Response Optimizer (SAFIRO) is a recently proposed metaheuristic optimization algorithm which adopted the procedure of the ultimate unbiased finite impulse response filter (UFIR) in state estimation. In SAFIRO, a random mutation with shrinking local neighborhood method is employed during measurement phase to balance the exploration and the exploitation process. Beta, β, is one of the parameters used in the local neighborhood to control the step size. In this study, the effect of β towards the performance of SAFIRO is observed by assigning the value of 1, 5, 10, 15, and 20. The best setting of β for SAFIRO is also determined. The CEC2014 Benchmark Test Suite is used to evaluate the SAFIRO performance with different β values. Results show that the performance of β is depending on the problems to be optimized. 17 out of 30 functions show the best performance of SAFIRO by setting β = 10. Statistical analysis using Friedman test and Holm post hoc test were performed to rank the performance. β = 10 has the highest rank where its performance is significantly better than other values, but equivalent to β = 5 and β = 15. Hence, it is recommended to tune the β for best performance, however, β = 10 is a good value to be used in SAFIRO for solving optimization problems.
format	Article
author	Tasiransurini, Ab Rahman Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abdul Aziz Suad Khairi, Mohammed Badaruddin, Muhammad Zulkifli, Md. Yusof
author_facet	Tasiransurini, Ab Rahman Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abdul Aziz Suad Khairi, Mohammed Badaruddin, Muhammad Zulkifli, Md. Yusof
author_sort	Tasiransurini, Ab Rahman
title	A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO
title_short	A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO
title_full	A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO
title_fullStr	A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO
title_full_unstemmed	A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO
title_sort	study on the effect of local neighbourhood parameter towards the performance of safiro
publisher	Science Publishing Corporation
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/24837/ http://umpir.ump.edu.my/id/eprint/24837/ http://umpir.ump.edu.my/id/eprint/24837/1/A%20Study%20on%20the%20Effect%20of%20Local%20Neighbourhood%20Parameter%20%20towards%20the%20Performance%20of%20SAFIRO.pdf
first_indexed	2023-09-18T22:37:50Z
last_indexed	2023-09-18T22:37:50Z
_version_	1777416714707795968

A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO

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