A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO
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...
| প্রধান লেখক: | , , , , , , |
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| বিন্যাস: | প্রবন্ধ |
| ভাষা: | English |
| প্রকাশিত: |
Science Publishing Corporation
2018
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://umpir.ump.edu.my/id/eprint/24837/1/A%20Study%20on%20the%20Effect%20of%20Local%20Neighbourhood%20Parameter%20%20towards%20the%20Performance%20of%20SAFIRO.pdf |
| _version_ | 1825812684597100544 |
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| author | Tasiransurini, Ab Rahman Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abdul Aziz Suad Khairi, Mohammed Badaruddin, Muhammad Zulkifli, Md. Yusof |
| author_facet | Tasiransurini, Ab Rahman Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abdul Aziz Suad Khairi, Mohammed Badaruddin, Muhammad Zulkifli, Md. Yusof |
| author_sort | Tasiransurini, Ab Rahman |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:32:47Z |
| format | Article |
| id | UMPir24837 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:32:47Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation |
| record_format | dspace |
| spelling | UMPir248372019-10-09T06:14:01Z http://umpir.ump.edu.my/id/eprint/24837/ A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO Tasiransurini, Ab Rahman Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abdul Aziz Suad Khairi, Mohammed Badaruddin, Muhammad Zulkifli, Md. Yusof TJ Mechanical engineering and machinery 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. Science Publishing Corporation 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24837/1/A%20Study%20on%20the%20Effect%20of%20Local%20Neighbourhood%20Parameter%20%20towards%20the%20Performance%20of%20SAFIRO.pdf 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) https://www.sciencepubco.com/index.php/ijet/article/view/22476 |
| spellingShingle | TJ Mechanical engineering and machinery Tasiransurini, Ab Rahman Zuwairie, Ibrahim Nor Azlina, Ab. Aziz Nor Hidayati, Abdul Aziz Suad Khairi, Mohammed Badaruddin, Muhammad Zulkifli, Md. Yusof A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO |
| title | A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO |
| title_full | A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO |
| title_fullStr | A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO |
| title_full_unstemmed | A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO |
| title_short | A Study on the Effect of Local Neighbourhood Parameter towards the Performance of SAFIRO |
| title_sort | study on the effect of local neighbourhood parameter towards the performance of safiro |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/24837/1/A%20Study%20on%20the%20Effect%20of%20Local%20Neighbourhood%20Parameter%20%20towards%20the%20Performance%20of%20SAFIRO.pdf |
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