Tasiransurini, Ab Rahman and Zuwairie, Ibrahim and Nor Azlina, Ab. Aziz and Nor Hidayati, Abdul Aziz and Suad Khairi, Mohammed and Badaruddin, Muhammad and Zulkifli, Md. Yusof (2018) A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO. International Journal of Engineering & Technology, 7 (4.27). pp. 30-37. ISSN 2227-524X. (Published)
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Abstract
Single-agent Finite Impulse Response Optimizer (SAFIRO) is a recently proposed metaheuristic optimization algorithm which adopted the procedure of the ultimate unbiased finite impulse response filter (UFIR) in state estimation. In SAFIRO, a random mutation with shrinking local neighborhood method is employed during measurement phase to balance the exploration and the exploitation process. Beta, β, is one of the parameters used in the local neighborhood to control the step size. In this study, the effect of β towards the performance of SAFIRO is observed by assigning the value of 1, 5, 10, 15, and 20. The best setting of β for SAFIRO is also determined. The CEC2014 Benchmark Test Suite is used to evaluate the SAFIRO performance with different β values. Results show that the performance of β is depending on the problems to be optimized. 17 out of 30 functions show the best performance of SAFIRO by setting β = 10. Statistical analysis using Friedman test and Holm post hoc test were performed to rank the performance. β = 10 has the highest rank where its performance is significantly better than other values, but equivalent to β = 5 and β = 15. Hence, it is recommended to tune the β for best performance, however, β = 10 is a good value to be used in SAFIRO for solving optimization problems.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Finite Impulse Response; Local Search Neighborhood; Metaheuristic; Optimization |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering Faculty of Manufacturing Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 25 Apr 2019 04:02 |
| Last Modified: | 09 Oct 2019 06:14 |
| URI: | http://umpir.ump.edu.my/id/eprint/24837 |
| Download Statistic: | View Download Statistics |
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