Improved particle swarm optimization by fast annealing algorithm
This paper proposes a hybrid particle swarm optimization with the fast-simulated annealing (PSO-FSA). The proposed algorithm is meant to solve high dimensional optimization problems based on two strategies, which are utilizing the particle swarm optimization to define the global search area and util...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/7/77179%20Improved%20Particle%20Swarm.pdf http://irep.iium.edu.my/77179/8/77179%20Improved%20Particle%20Swarm%20SCOPUS.pdf |
| _version_ | 1848788396984500224 |
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| author | Bashath, Samar Ismail, Amelia Ritahani |
| author_facet | Bashath, Samar Ismail, Amelia Ritahani |
| author_sort | Bashath, Samar |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper proposes a hybrid particle swarm optimization with the fast-simulated annealing (PSO-FSA). The proposed algorithm is meant to solve high dimensional optimization problems based on two strategies, which are utilizing the particle swarm optimization to define the global search area and utilizing the fast-simulated annealing to refine the visited search area. To evaluate its performance, we examined the algorithm on 14 benchmark functions. Based on the results, PSO-FSA has higher accuracy result compared with particle swarm, simulated annealing. We also apply the algorithm in clustering problem, and the results shows that the proposed method has better accuracy than the optimization methods. |
| first_indexed | 2025-11-14T17:40:10Z |
| format | Proceeding Paper |
| id | iium-77179 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:40:10Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-771792020-07-13T01:35:43Z http://irep.iium.edu.my/77179/ Improved particle swarm optimization by fast annealing algorithm Bashath, Samar Ismail, Amelia Ritahani QA75 Electronic computers. Computer science This paper proposes a hybrid particle swarm optimization with the fast-simulated annealing (PSO-FSA). The proposed algorithm is meant to solve high dimensional optimization problems based on two strategies, which are utilizing the particle swarm optimization to define the global search area and utilizing the fast-simulated annealing to refine the visited search area. To evaluate its performance, we examined the algorithm on 14 benchmark functions. Based on the results, PSO-FSA has higher accuracy result compared with particle swarm, simulated annealing. We also apply the algorithm in clustering problem, and the results shows that the proposed method has better accuracy than the optimization methods. IEEE 2019-09-12 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/77179/7/77179%20Improved%20Particle%20Swarm.pdf application/pdf en http://irep.iium.edu.my/77179/8/77179%20Improved%20Particle%20Swarm%20SCOPUS.pdf Bashath, Samar and Ismail, Amelia Ritahani (2019) Improved particle swarm optimization by fast annealing algorithm. In: 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), 13 - 15 Mar 2019, Yogyakarta, Indonesia. https://ieeexplore.ieee.org/abstract/document/8834515 10.1109/ICAIIT.2019.8834515 |
| spellingShingle | QA75 Electronic computers. Computer science Bashath, Samar Ismail, Amelia Ritahani Improved particle swarm optimization by fast annealing algorithm |
| title | Improved particle swarm optimization by fast annealing algorithm |
| title_full | Improved particle swarm optimization by fast annealing algorithm |
| title_fullStr | Improved particle swarm optimization by fast annealing algorithm |
| title_full_unstemmed | Improved particle swarm optimization by fast annealing algorithm |
| title_short | Improved particle swarm optimization by fast annealing algorithm |
| title_sort | improved particle swarm optimization by fast annealing algorithm |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/7/77179%20Improved%20Particle%20Swarm.pdf http://irep.iium.edu.my/77179/8/77179%20Improved%20Particle%20Swarm%20SCOPUS.pdf |