Parameter selection in particle swarm optimisation: a survey
Nowadays, particle swarm optimisation (PSO) is one of the most commonly used optimisation techniques. However, PSO parameters significantly affect its computational behaviour. That is, while it exposes desirable computational behaviour with some settings, it does not behave so by some other settings...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2013
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/28729/ http://psasir.upm.edu.my/id/eprint/28729/1/Parameter%20selection%20in%20particle%20swarm%20optimisation.pdf |
| _version_ | 1848846196974551040 |
|---|---|
| author | Rezaee Jordehi, Ahmad Rezaee Jasni, Jasronita |
| author_facet | Rezaee Jordehi, Ahmad Rezaee Jasni, Jasronita |
| author_sort | Rezaee Jordehi, Ahmad Rezaee |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Nowadays, particle swarm optimisation (PSO) is one of the most commonly used optimisation techniques. However, PSO parameters significantly affect its computational behaviour. That is, while it exposes desirable computational behaviour with some settings, it does not behave so by some other settings, so the way for setting them is of high importance. This paper explains and discusses thoroughly about various existent strategies for setting PSO parameters, provides some hints for its parameter setting and presents some proposals for future research on this area. There exists no other paper in literature that discusses the setting process for all PSO parameters. Using the guidelines of this paper can be strongly useful for researchers in optimisation-related fields. |
| first_indexed | 2025-11-15T08:58:52Z |
| format | Article |
| id | upm-28729 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:58:52Z |
| publishDate | 2013 |
| publisher | Taylor & Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-287292015-10-30T03:14:16Z http://psasir.upm.edu.my/id/eprint/28729/ Parameter selection in particle swarm optimisation: a survey Rezaee Jordehi, Ahmad Rezaee Jasni, Jasronita Nowadays, particle swarm optimisation (PSO) is one of the most commonly used optimisation techniques. However, PSO parameters significantly affect its computational behaviour. That is, while it exposes desirable computational behaviour with some settings, it does not behave so by some other settings, so the way for setting them is of high importance. This paper explains and discusses thoroughly about various existent strategies for setting PSO parameters, provides some hints for its parameter setting and presents some proposals for future research on this area. There exists no other paper in literature that discusses the setting process for all PSO parameters. Using the guidelines of this paper can be strongly useful for researchers in optimisation-related fields. Taylor & Francis 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28729/1/Parameter%20selection%20in%20particle%20swarm%20optimisation.pdf Rezaee Jordehi, Ahmad Rezaee and Jasni, Jasronita (2013) Parameter selection in particle swarm optimisation: a survey. Journal of Experimental and Theoretical Artificial Intelligence, 25 (4). pp. 527-542. ISSN 0952-813X; ESSN: 1362-3079 10.1080/0952813X.2013.782348 |
| spellingShingle | Rezaee Jordehi, Ahmad Rezaee Jasni, Jasronita Parameter selection in particle swarm optimisation: a survey |
| title | Parameter selection in particle swarm optimisation: a survey |
| title_full | Parameter selection in particle swarm optimisation: a survey |
| title_fullStr | Parameter selection in particle swarm optimisation: a survey |
| title_full_unstemmed | Parameter selection in particle swarm optimisation: a survey |
| title_short | Parameter selection in particle swarm optimisation: a survey |
| title_sort | parameter selection in particle swarm optimisation: a survey |
| url | http://psasir.upm.edu.my/id/eprint/28729/ http://psasir.upm.edu.my/id/eprint/28729/ http://psasir.upm.edu.my/id/eprint/28729/1/Parameter%20selection%20in%20particle%20swarm%20optimisation.pdf |