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http://bura.brunel.ac.uk/handle/2438/21857Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, W | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Yuan, Y | - |
| dc.contributor.author | Zeng, N | - |
| dc.contributor.author | Hone, K | - |
| dc.contributor.author | Liu, X | - |
| dc.date.accessioned | 2020-11-20T14:19:30Z | - |
| dc.date.available | 2019-07-18 | - |
| dc.date.available | 2020-11-20T14:19:30Z | - |
| dc.date.issued | 2019-07-18 | - |
| dc.identifier.citation | Liu, W., Wang, Z., Yuan, Y., Zeng, N., Hone, K. and Liu, X. (2021) 'A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer,' IEEE Transactions on Cybernetics, 51(2), pp. 1085-1093. doi: 10.1109/TCYB.2019.2925015. | en_US |
| dc.identifier.issn | 2168-2267 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/21857 | - |
| dc.description.sponsorship | European Union’s Horizon 2020 Research and Innovation Programme (INTEGRADDE); U.K.–China Industry Academia Partnership Programme; 10.13039/501100000266-Engineering and Physical Sciences Research Council of the U.K.; 10.13039/501100000288-Royal Society of the U.K.; 10.13039/100005156-Alexander von Humboldt Foundation of Germany; | en_US |
| dc.format.extent | 1085 - 1093 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language | English | - |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.subject | acceleration coefficients | en_US |
| dc.subject | adaptive weighting | en_US |
| dc.subject | convergence rate | en_US |
| dc.subject | evolutionary computation | en_US |
| dc.subject | particle swarm optimization (PSO) | en_US |
| dc.title | A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1109/tcyb.2019.2925015 | - |
| dc.relation.isPartOf | IEEE Transactions on Cybernetics | - |
| pubs.issue | 2 | - |
| pubs.publication-status | Published | - |
| pubs.volume | 51 | - |
| dc.identifier.eissn | 2168-2275 | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 2.66 MB | Adobe PDF | View/Open |
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