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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Institute of Advanced Engineering and Science (IAES)
2017
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Online Access: | http://umpir.ump.edu.my/id/eprint/27013/1/Transitional%20particle%20swarm%20optimization.pdf http://umpir.ump.edu.my/id/eprint/27013/ http://doi.org/10.11591/ijece.v7i3.pp1611-1619 http://doi.org/10.11591/ijece.v7i3.pp1611-1619 |
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my.ump.umpir.270132020-03-10T10:04:03Z http://umpir.ump.edu.my/id/eprint/27013/ Transitional particle swarm optimization Nor Azlina, Ab. Aziz Zuwairie, Ibrahim Marizan, Mubin Sophan Wahyudi, Nawawi Nor Hidayati, Abdul Aziz QA76 Computer software 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 (IAES) 2017-06 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/27013/1/Transitional%20particle%20swarm%20optimization.pdf Nor Azlina, Ab. Aziz and Zuwairie, Ibrahim and Marizan, Mubin and Sophan Wahyudi, Nawawi and Nor Hidayati, Abdul Aziz (2017) Transitional particle swarm optimization. International Journal of Electrical and Computer Engineering (IJECE), 7 (3). pp. 1611-1619. ISSN 2088-8708 http://doi.org/10.11591/ijece.v7i3.pp1611-1619 http://doi.org/10.11591/ijece.v7i3.pp1611-1619 |
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QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Nor Azlina, Ab. Aziz Zuwairie, Ibrahim Marizan, Mubin Sophan Wahyudi, Nawawi Nor Hidayati, Abdul Aziz Transitional particle swarm optimization |
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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. |
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Article |
author |
Nor Azlina, Ab. Aziz Zuwairie, Ibrahim Marizan, Mubin Sophan Wahyudi, Nawawi Nor Hidayati, Abdul Aziz |
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Nor Azlina, Ab. Aziz Zuwairie, Ibrahim Marizan, Mubin Sophan Wahyudi, Nawawi Nor Hidayati, Abdul Aziz |
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Nor Azlina, Ab. Aziz |
title |
Transitional particle swarm optimization |
title_short |
Transitional particle swarm optimization |
title_full |
Transitional particle swarm optimization |
title_fullStr |
Transitional particle swarm optimization |
title_full_unstemmed |
Transitional particle swarm optimization |
title_sort |
transitional particle swarm optimization |
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Institute of Advanced Engineering and Science (IAES) |
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2017 |
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http://umpir.ump.edu.my/id/eprint/27013/1/Transitional%20particle%20swarm%20optimization.pdf http://umpir.ump.edu.my/id/eprint/27013/ http://doi.org/10.11591/ijece.v7i3.pp1611-1619 http://doi.org/10.11591/ijece.v7i3.pp1611-1619 |
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