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...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Subjects: | |
| 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 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:36:31Z |
| format | Conference or Workshop Item |
| id | ump-24859 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:36:31Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 (Published) |
| 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 |
| title | 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_short | 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 |
| topic | TS Manufactures |
| 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 |