Transitional Particle Swarm Optimization
A new variation of particle swarm optimization (PSO) termed as transitional PSO (T-PSO) is proposed here. T-PSO attempts to improve PSO via its iteration strategy. Traditionally, PSO adopts either the synchronous or the asynchronous iteration strategy. Both of these iteration strategies have their o...
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| Format: | Article |
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Institute of Advanced Engineering and Science
2017
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| author | Aziz, N.A.A. Ibrahim, Z. Mubin, M. Nawawi, S.W. Aziz, N.H.A. |
| author_facet | Aziz, N.A.A. Ibrahim, Z. Mubin, M. Nawawi, S.W. Aziz, N.H.A. |
| author_sort | Aziz, N.A.A. |
| collection | UM |
| description | A new variation of particle swarm optimization (PSO) termed as transitional PSO (T-PSO) is proposed here. T-PSO attempts to improve PSO via its iteration strategy. Traditionally, PSO adopts either the synchronous or the asynchronous iteration strategy. Both of these iteration strategies have their own strengths and weaknesses. The synchronous strategy has reputation of better exploitation while asynchronous strategy is stronger in exploration. The particles of T-PSO start with asynchronous update to encourage more exploration at the start of the search. If no better solution is found for a number of iteration, the iteration strategy is changed to synchronous update to allow fine tuning by the particles. The results show that T-PSO is ranked better than the traditional PSOs. |
| first_indexed | 2024-03-06T05:47:40Z |
| format | Article |
| id | um.eprints-19232 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:47:40Z |
| publishDate | 2017 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | um.eprints-192322018-09-18T01:31:05Z http://eprints.um.edu.my/19232/ Transitional Particle Swarm Optimization Aziz, N.A.A. Ibrahim, Z. Mubin, M. Nawawi, S.W. Aziz, N.H.A. TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering A new variation of particle swarm optimization (PSO) termed as transitional PSO (T-PSO) is proposed here. T-PSO attempts to improve PSO via its iteration strategy. Traditionally, PSO adopts either the synchronous or the asynchronous iteration strategy. Both of these iteration strategies have their own strengths and weaknesses. The synchronous strategy has reputation of better exploitation while asynchronous strategy is stronger in exploration. The particles of T-PSO start with asynchronous update to encourage more exploration at the start of the search. If no better solution is found for a number of iteration, the iteration strategy is changed to synchronous update to allow fine tuning by the particles. The results show that T-PSO is ranked better than the traditional PSOs. Institute of Advanced Engineering and Science 2017 Article PeerReviewed Aziz, N.A.A. and Ibrahim, Z. and Mubin, M. and Nawawi, S.W. and Aziz, N.H.A. (2017) Transitional Particle Swarm Optimization. International Journal of Electrical and Computer Engineering (IJECE), 7 (3). pp. 1611-1619. ISSN 2088-8708, DOI https://doi.org/10.11591/ijece.v7i3.pp1611-1619 <https://doi.org/10.11591/ijece.v7i3.pp1611-1619>. http://dx.doi.org/10.11591/ijece.v7i3.pp1611-1619 doi:10.11591/ijece.v7i3.pp1611-1619 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Aziz, N.A.A. Ibrahim, Z. Mubin, M. Nawawi, S.W. Aziz, N.H.A. Transitional Particle Swarm Optimization |
| title | Transitional Particle Swarm Optimization |
| title_full | Transitional Particle Swarm Optimization |
| title_fullStr | Transitional Particle Swarm Optimization |
| title_full_unstemmed | Transitional Particle Swarm Optimization |
| title_short | Transitional Particle Swarm Optimization |
| title_sort | transitional particle swarm optimization |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
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