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http://bura.brunel.ac.uk/handle/2438/24636Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sheng, M | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Liu, W | - |
| dc.contributor.author | Wang, X | - |
| dc.contributor.author | Chen, S | - |
| dc.contributor.author | Liu, X | - |
| dc.date.accessioned | 2022-05-28T15:28:01Z | - |
| dc.date.available | 2022-05-28T15:28:01Z | - |
| dc.date.issued | 2022-02-12 | - |
| dc.identifier | ORCiD: Zidong Wang https://orcid.org/0000-0002-9576-7401 | - |
| dc.identifier | ORCiD: Weibo Liu https://orcid.org/0000-0002-8169-3261 | - |
| dc.identifier | ORCiD: Xiaohui Liu https://orcid.org/0000-0003-1589-1267 | - |
| dc.identifier | Article no. 108382 | - |
| dc.identifier.citation | Sheng, M. et al. (2022) 'A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization', Knowledge-Based Systems, 242, 108382, pp. 1-13. doi: 10.1016/j.knosys.2022.108382. | en_US |
| dc.identifier.issn | 0950-7051 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24636 | - |
| dc.format.extent | 1 - 13 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Elsevier | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | - |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
| dc.subject | particle swarm optimization | en_US |
| dc.subject | large-scale optimization | en_US |
| dc.subject | population sampling | en_US |
| dc.subject | particle learning strategy | en_US |
| dc.title | A particle swarm optimizer with multi-level population sampling and dynamic p-learning mechanisms for large-scale optimization | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1016/j.knosys.2022.108382 | - |
| dc.relation.isPartOf | Knowledge-Based Systems | - |
| pubs.publication-status | Published | - |
| pubs.volume | 242 | - |
| dc.identifier.eissn | 1872-7409 | - |
| dc.rights.license | https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en | - |
| dcterms.dateAccepted | 2022-02-06 | - |
| dc.rights.holder | Elsevier B.V. | - |
| Appears in Collections: | Dept of Computer Science Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2022 Elsevier B.V. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.knosys.2022.108382, archived on this repository under a Creative Commons CC BY-NC-ND attribution licence. | 754.17 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
