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DC Field | Value | Language |
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dc.contributor.author | Zeng, N | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Liu, W | - |
dc.contributor.author | Zhang, H | - |
dc.contributor.author | Hone, K | - |
dc.contributor.author | Liu, X | - |
dc.date.accessioned | 2020-11-20T14:05:01Z | - |
dc.date.available | 2020-11-20T14:05:01Z | - |
dc.date.issued | 2020-11-10 | - |
dc.identifier.citation | Zeng, N., Wang, Z, Liu, W., Zhang, H., Hone, K. and Liu, X. (2022) 'A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm', IEEE Transactions on Cybernetics, 52 (9), pp. 9290 - 9301. doi: 10.1109/TCYB.2020.3029748. | en_US |
dc.identifier.issn | 2168-2267 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/21856 | - |
dc.description.sponsorship | 10.13039/501100001809-Natural Science Foundation of China (Grant Number: 61873148, 61933007 and 62073271); 10.13039/501100007633-Korea Foundation for Advanced Studies International Science and Technology Cooperation Project of Fujian Province of China (Grant Number: 2019I0003); 10.13039/501100012226-Fundamental Research Funds for the Central Universities of China (Grant Number: 20720190009); Open Fund of Engineering Research Center of Big Data Application in Private Health Medicine of China (Grant Number: KF2020002); 10.13039/501100007310-Open Fund of Provincial Key Laboratory of Eco-Industrial Green Technology, Wuyi University of China. | en_US |
dc.format.extent | 9290 - 9301 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.rights | Copyright © 2020 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 | differential evolution (DE) | en_US |
dc.subject | dynamic neighborhood | en_US |
dc.subject | particle swarm optimization (PSO) | en_US |
dc.subject | switching strategy | en_US |
dc.subject | topology | en_US |
dc.title | A Dynamic-Neighborhood-Based Switching Particle Swarm Optimization Algorithm | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1109/TCYB.2020.3029748 | - |
dc.relation.isPartOf | IEEE Transactions on Cybernetics | - |
pubs.issue | 9 | - |
pubs.publication-status | Published | - |
pubs.volume | 52 | - |
dc.identifier.eissn | 2168-2275 | - |
dc.rights.license | https://www.ieee.org/publications/rights/rights-policies.html | - |
dc.rights.holder | IEEE | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright © 2020 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. | 583.47 kB | Adobe PDF | View/Open |
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