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
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Abstract
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.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | horizon length; optimization; SAFIRO |
| Subjects: | T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Manufacturing Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 02 May 2019 05:03 |
| Last Modified: | 02 May 2019 05:03 |
| URI: | http://umpir.ump.edu.my/id/eprint/24859 |
| Download Statistic: | View Download Statistics |
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