Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization

Duan, Q; Shao, C; Zhou, G; Zhang, M; Zhao, Q; Shi, Y

Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization

Duan, Q Shao, C

Zhou, G Zhang, M Zhao, Q Shi, Y

Permalink

Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Parallel and Distributed Systems, 2024, PP, (99), pp. 1-15
Issue Date:: 2024

Embargoed

	Filename	Description	Size
	Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization.pdf	Accepted version	5.13 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Embargoed
Open Access

This item is currently unavailable due to the publisher's embargo.

The embargo period expires on 2 Aug 2026

Full metadata record

Field	Value	Language
dc.contributor.author	Duan, Q
dc.contributor.author	Shao, C https://orcid.org/0000-0002-1065-3537
dc.contributor.author	Zhou, G
dc.contributor.author	Zhang, M
dc.contributor.author	Zhao, Q
dc.contributor.author	Shi, Y
dc.date.accessioned	2024-08-15T06:39:00Z
dc.date.available	2024-08-15T06:39:00Z
dc.date.issued	2024
dc.identifier.citation	IEEE Transactions on Parallel and Distributed Systems, 2024, PP, (99), pp. 1-15
dc.identifier.issn	1045-9219
dc.identifier.issn	1558-2183
dc.identifier.uri	http://hdl.handle.net/10453/180421
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	Southern University of Science and Technology
dc.relation.ispartof	IEEE Transactions on Parallel and Distributed Systems
dc.relation.isbasedon	10.1109/tpds.2024.3437688
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0803 Computer Software, 0805 Distributed Computing, 1005 Communications Technologies
dc.subject.classification	Distributed Computing
dc.subject.classification	4606 Distributed computing and systems software
dc.title	Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
dc.type	Journal Article
utslib.citation.volume	PP
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
utslib.for	1005 Communications Technologies
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2026-08-02T00:00:00+1000Z
dc.date.updated	2024-08-15T06:38:57Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/180421