Evaluation of different horizon lengths in single-agent finite impulse response optimizer

Tasiransurini Ab Rahman, Zuwairie Ibrahim, Nor Hidayati Abdul Aziz, Nor Azlina Ab Aziz, Mohd Saberi Mohamad, Mohd Ibrahim Shapiai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2019 International Conference on Computer and Information Sciences, ICCIS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538681251
DOIs
Publication statusPublished - May 15 2019
Externally publishedYes
Event2019 International Conference on Computer and Information Sciences, ICCIS 2019 - Sakaka, Saudi Arabia
Duration: Apr 3 2019Apr 4 2019

Publication series

Name2019 International Conference on Computer and Information Sciences, ICCIS 2019

Conference

Conference2019 International Conference on Computer and Information Sciences, ICCIS 2019
Country/TerritorySaudi Arabia
CitySakaka
Period4/3/194/4/19

Keywords

  • Horizon length
  • Optimization
  • SAFIRO

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management

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