An Improved VEPSO Algorithm for Multi-objective Optimisation Problems
Multi-objective optimisation problem is the problem which contains more than one objective that needs to be solved simultaneously. The vector evaluated particle swarm optimisation algorithm is widely used for such purpose, where this algorithm optimised one objective using one swarm of particles by...
| Main Authors: | , , , , , , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
Springer
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/1/fkee-2015-hawari-Improved%20VEPSO-bk%20chpter.pdf |
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| author | Kamarul Hawari, Ghazali Zuwairie, Ibrahim Faradila, Naim Kian, Sheng Lim Salinda, Buyamin Anita, Ahmad Sophan Wahyudi, Nawawi Norrima, Mokhtar |
| author_facet | Kamarul Hawari, Ghazali Zuwairie, Ibrahim Faradila, Naim Kian, Sheng Lim Salinda, Buyamin Anita, Ahmad Sophan Wahyudi, Nawawi Norrima, Mokhtar |
| author_sort | Kamarul Hawari, Ghazali |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Multi-objective optimisation problem is the problem which contains more than one objective that needs to be solved simultaneously. The vector evaluated particle swarm optimisation algorithm is widely used for such purpose, where this algorithm optimised one objective using one swarm of particles by the guidance from the best solution found by another swarm. However, this best solution is only updated when a solution is better with respect to the optimised objective and results in poor performance. Therefore, the vector evaluated particle swarm optimisation algorithm is improved by incorporating the non-dominated solutions for guiding the particle movement during optimisation. The performance of the improved algorithm is analysed with several performance measures and simulated on various test functions. The results suggest that the improved algorithm outperformed the performance of the original algorithm. |
| first_indexed | 2025-11-15T01:36:01Z |
| format | Book Chapter |
| id | ump-8798 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:36:01Z |
| publishDate | 2015 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-87982018-02-08T01:40:04Z http://umpir.ump.edu.my/id/eprint/8798/ An Improved VEPSO Algorithm for Multi-objective Optimisation Problems Kamarul Hawari, Ghazali Zuwairie, Ibrahim Faradila, Naim Kian, Sheng Lim Salinda, Buyamin Anita, Ahmad Sophan Wahyudi, Nawawi Norrima, Mokhtar TK Electrical engineering. Electronics Nuclear engineering Multi-objective optimisation problem is the problem which contains more than one objective that needs to be solved simultaneously. The vector evaluated particle swarm optimisation algorithm is widely used for such purpose, where this algorithm optimised one objective using one swarm of particles by the guidance from the best solution found by another swarm. However, this best solution is only updated when a solution is better with respect to the optimised objective and results in poor performance. Therefore, the vector evaluated particle swarm optimisation algorithm is improved by incorporating the non-dominated solutions for guiding the particle movement during optimisation. The performance of the improved algorithm is analysed with several performance measures and simulated on various test functions. The results suggest that the improved algorithm outperformed the performance of the original algorithm. Springer 2015 Book Chapter PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8798/1/fkee-2015-hawari-Improved%20VEPSO-bk%20chpter.pdf Kamarul Hawari, Ghazali and Zuwairie, Ibrahim and Faradila, Naim and Kian, Sheng Lim and Salinda, Buyamin and Anita, Ahmad and Sophan Wahyudi, Nawawi and Norrima, Mokhtar (2015) An Improved VEPSO Algorithm for Multi-objective Optimisation Problems. In: The Malaysia-Japan Model on Technology Partnership. Springer, Japan, pp. 253-263. ISBN 978-4-431-54438-8 (print); 978-4-431-54439-5 (online) http://dx.doi.org/10.1007/978-4-431-54439-5_24 DOI: 10.1007/978-4-431-54439-5_24 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Kamarul Hawari, Ghazali Zuwairie, Ibrahim Faradila, Naim Kian, Sheng Lim Salinda, Buyamin Anita, Ahmad Sophan Wahyudi, Nawawi Norrima, Mokhtar An Improved VEPSO Algorithm for Multi-objective Optimisation Problems |
| title | An Improved VEPSO Algorithm for Multi-objective Optimisation Problems |
| title_full | An Improved VEPSO Algorithm for Multi-objective Optimisation Problems |
| title_fullStr | An Improved VEPSO Algorithm for Multi-objective Optimisation Problems |
| title_full_unstemmed | An Improved VEPSO Algorithm for Multi-objective Optimisation Problems |
| title_short | An Improved VEPSO Algorithm for Multi-objective Optimisation Problems |
| title_sort | improved vepso algorithm for multi-objective optimisation problems |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/1/fkee-2015-hawari-Improved%20VEPSO-bk%20chpter.pdf |