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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23529Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, W | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Zeng, N | - |
| dc.contributor.author | Yuan, Y | - |
| dc.contributor.author | Alsaadi, FE | - |
| dc.contributor.author | Liu, X | - |
| dc.date.accessioned | 2021-11-15T17:47:04Z | - |
| dc.date.available | 2021-11-15T17:47:04Z | - |
| dc.date.issued | 2020-08-14 | - |
| dc.identifier.citation | Liu, W., Wang, Z., Zeng, N., Yuan, Y., Alsaadi, F.E. and Liu, X. (2021) 'A novel randomised particle swarm optimizer', International Journal of Machine Learning and Cybernetics, 12, 529–540. doi: 10.1007/s13042-020-01186-4. | en_US |
| dc.identifier.issn | 1868-8071 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/23529 | - |
| dc.format.extent | 529 - 540 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.rights | This is a pre-copyedited, author-produced version of an article accepted for publication in International Journal of Machine Learning and Cybernetics following peer review. The final authenticated version is available online at https://doi.org/10.1007/s13042-020-01186-4. | - |
| dc.subject | randomized algorithms | en_US |
| dc.subject | evolutionary computation | en_US |
| dc.subject | particle swarm optimization | en_US |
| dc.subject | Gaussian white noise | en_US |
| dc.subject | acceleration coefficients | en_US |
| dc.title | A novel randomised particle swarm optimizer | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1007/s13042-020-01186-4 | - |
| dc.relation.isPartOf | International Journal of Machine Learning and Cybernetics | - |
| pubs.issue | 2 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 12 | - |
| dc.identifier.eissn | 1868-808X | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | This is a pre-copyedited, author-produced version of an article accepted for publication in International Journal of Machine Learning and Cybernetics following peer review. The final authenticated version is available online at https://doi.org/10.1007/s13042-020-01186-4. | 373.72 kB | Adobe PDF | View/Open |
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