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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27101
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dc.contributor.authorLi, H-
dc.contributor.authorWang, Z-
dc.contributor.authorLan, C-
dc.contributor.authorWu, P-
dc.contributor.authorZeng, N-
dc.date.accessioned2023-09-01T07:29:57Z-
dc.date.available2023-09-01T07:29:57Z-
dc.date.issued2023-07-20-
dc.identifierORCID iDS: Han Li https://orcid.org/0000-0003-0276-9756; Zidong Wang https://orcid.org/0000-0002-9576-7401; Peishu Wu https://orcid.org/0000-0001-9891-3809; Nianyin Zeng https://orcid.org/0000-0002-6957-2942.-
dc.identifier.citationLi, H. et al. (2023) 'A Novel Dynamic Multiobjective Optimization Algorithm With Hierarchical Response System', IEEE Transactions on Computational Social Systems, 2023, 0 (Early Access), pp. 1 - 19. doi: 10.1109/tcss.2023.3293331.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/27101-
dc.description.sponsorshipNatural Science Foundation of China (Grant Number: 62073271); National Science and Technology Major Project of China (Grant Number: J2019-I-0013-0013); Independent Innovation Foundation of Aero Engine Corporation of China (AECC) of China (Grant Number: ZZCX-2018-017); 10.13039/501100007633-Korea Foundation for Advanced Studies; Science Foundation for Distinguished Young Scholars of the Fujian Province (Grant Number: 2023J06010).en_US
dc.format.extent1 - 19-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2023 Institute of Electrical and Electronics Engineers (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 by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectdynamic multiobjective optimization algorithm (DMOA)en_US
dc.subjectevolutionary algorithmen_US
dc.subjecthierarchical response system (HRS)en_US
dc.subjecttransfer learning (TL)en_US
dc.titleA Novel Dynamic Multiobjective Optimization Algorithm With Hierarchical Response Systemen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/tcss.2023.3293331-
dc.relation.isPartOfIEEE Transactions on Computational Social Systems-
pubs.issueEarly Access-
pubs.publication-statusPublished-
pubs.volume0-
dc.identifier.eissn2329-924X-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Computer Science Research Papers

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