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

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
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