A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms
Asynchronous Finite Impulse Response Optimizer (AFIRO) is a metaheuristic algorithm that has been developed as a population-based solution with an asynchronous update mechanism. AFIRO is inspired by the Ultimate Unbiased Finite Impulse Response filter framework. AFIRO works with a group of agents wh...
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| Format: | Article |
| Language: | English English |
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ECTI Association
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/40839/1/A%20performance%20of%20AFIRO%20among%20asynchronous%20iteration%20strategy.pdf http://umpir.ump.edu.my/id/eprint/40839/2/A%20performance%20of%20AFIRO%20among%20asynchronous%20iteration%20strategy%20metaheuristic%20algorithms_ABS.pdf |
| _version_ | 1825815568198926336 |
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| author | Ab Rahman, Tasiransurini Nor Azlina, Ab. Aziz Zuwairie, Ibrahim |
| author_facet | Ab Rahman, Tasiransurini Nor Azlina, Ab. Aziz Zuwairie, Ibrahim |
| author_sort | Ab Rahman, Tasiransurini |
| collection | UMP |
| description | Asynchronous Finite Impulse Response Optimizer (AFIRO) is a metaheuristic algorithm that has been developed as a population-based solution with an asynchronous update mechanism. AFIRO is inspired by the Ultimate Unbiased Finite Impulse Response filter framework. AFIRO works with a group of agents where each agent performs the iteration update asynchronously. In the original paper, AFIRO was compared with the Particle Swarm Optimisation algorithm, Genetic Algorithm, and Grey Wolf Optimizer. Although AFIRO shows a better performance, the comparison seems unfair since the iteration strategy of AFIRO is different from those compared algorithms. Hence, this article further investigates the potential of AFIRO against three existent metaheuristic algorithms with the same iteration strategy, namely Asynchronous PSO (A-PSO), Asynchronous Gravitational Search Algorithm (A-GSA), and Asynchronous Simulated Kalman Filter (A-SKF). The CEC2014 test suite was applied to evaluate the performance, where the results revealed that AFIRO leads 18 out of 30 functions. The Holm post hoc showed that AFIRO performs significantly better than A-SKF and A-GSA while having the same performance as APSO. Moreover, the Friedman test disclosed that AFIRO has the highest ranking than A-PSO, A-SKF, and A-GSA. Therefore, it can be concluded that AFIRO performs well in the same iteration strategy category. |
| first_indexed | 2024-09-25T03:48:31Z |
| format | Article |
| id | UMPir40839 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-09-25T03:48:31Z |
| publishDate | 2023 |
| publisher | ECTI Association |
| record_format | dspace |
| spelling | UMPir408392024-05-28T08:03:50Z http://umpir.ump.edu.my/id/eprint/40839/ A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms Ab Rahman, Tasiransurini Nor Azlina, Ab. Aziz Zuwairie, Ibrahim T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Asynchronous Finite Impulse Response Optimizer (AFIRO) is a metaheuristic algorithm that has been developed as a population-based solution with an asynchronous update mechanism. AFIRO is inspired by the Ultimate Unbiased Finite Impulse Response filter framework. AFIRO works with a group of agents where each agent performs the iteration update asynchronously. In the original paper, AFIRO was compared with the Particle Swarm Optimisation algorithm, Genetic Algorithm, and Grey Wolf Optimizer. Although AFIRO shows a better performance, the comparison seems unfair since the iteration strategy of AFIRO is different from those compared algorithms. Hence, this article further investigates the potential of AFIRO against three existent metaheuristic algorithms with the same iteration strategy, namely Asynchronous PSO (A-PSO), Asynchronous Gravitational Search Algorithm (A-GSA), and Asynchronous Simulated Kalman Filter (A-SKF). The CEC2014 test suite was applied to evaluate the performance, where the results revealed that AFIRO leads 18 out of 30 functions. The Holm post hoc showed that AFIRO performs significantly better than A-SKF and A-GSA while having the same performance as APSO. Moreover, the Friedman test disclosed that AFIRO has the highest ranking than A-PSO, A-SKF, and A-GSA. Therefore, it can be concluded that AFIRO performs well in the same iteration strategy category. ECTI Association 2023-07-22 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40839/1/A%20performance%20of%20AFIRO%20among%20asynchronous%20iteration%20strategy.pdf pdf en http://umpir.ump.edu.my/id/eprint/40839/2/A%20performance%20of%20AFIRO%20among%20asynchronous%20iteration%20strategy%20metaheuristic%20algorithms_ABS.pdf Ab Rahman, Tasiransurini and Nor Azlina, Ab. Aziz and Zuwairie, Ibrahim (2023) A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms. ECTI Transactions on Computer and Information Technology, 17 (3). pp. 319-329. ISSN 2286-9131. (Published) https://doi.org/10.37936/ecti-cit.2023173.251829 https://doi.org/10.37936/ecti-cit.2023173.251829 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Ab Rahman, Tasiransurini Nor Azlina, Ab. Aziz Zuwairie, Ibrahim A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms |
| title | A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms |
| title_full | A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms |
| title_fullStr | A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms |
| title_full_unstemmed | A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms |
| title_short | A performance of AFIRO among asynchronous iteration strategy metaheuristic algorithms |
| title_sort | performance of afiro among asynchronous iteration strategy metaheuristic algorithms |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/40839/1/A%20performance%20of%20AFIRO%20among%20asynchronous%20iteration%20strategy.pdf http://umpir.ump.edu.my/id/eprint/40839/2/A%20performance%20of%20AFIRO%20among%20asynchronous%20iteration%20strategy%20metaheuristic%20algorithms_ABS.pdf |
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