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

• 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/24859/1/Evaluation%20of%20Different%20Horizon%20Lengths%20in%20Single-agent1.pdf; http://umpir.ump.edu.my/id/eprint/24859/
• Institution: Universiti Malaysia Pahang

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.