Evolutionary Machine Learning: A Survey

Telikani, A; Tahmassebi, AH; Banzhaf, W; Gandomi, A

Evolutionary Machine Learning: A Survey

Telikani, A Tahmassebi, AH Banzhaf, W Gandomi, A

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Publisher:: Association for Computing Machinery (ACM)
Publication Type:: Journal Article
Citation:: ACM Computing Surveys, 2021, 54, (8), pp. 11-11
Issue Date:: 2021

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Field	Value	Language
dc.contributor.author	Telikani, A
dc.contributor.author	Tahmassebi, AH
dc.contributor.author	Banzhaf, W
dc.contributor.author	Gandomi, A https://orcid.org/0000-0002-2798-0104
dc.date.accessioned	2021-09-03T06:02:32Z
dc.date.available	2021-09-03T06:02:32Z
dc.date.issued	2021
dc.identifier.citation	ACM Computing Surveys, 2021, 54, (8), pp. 11-11
dc.identifier.issn	0360-0300
dc.identifier.uri	http://hdl.handle.net/10453/150318
dc.language	en
dc.publisher	Association for Computing Machinery (ACM)
dc.relation.ispartof	ACM Computing Surveys
dc.relation.isbasedon	10.1145/3467477
dc.rights	Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are notmade or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-partycomponents of this work must be honored. For all other uses, contact the owner/author(s).©2021 Copyright held by the owner/author(s).
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences
dc.subject.classification	Information Systems
dc.title	Evolutionary Machine Learning: A Survey
dc.type	Journal Article
utslib.citation.volume	54
utslib.for	08 Information and Computing Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-09-03T06:02:31Z
pubs.issue	8
pubs.publication-status	Accepted
pubs.volume	54
utslib.citation.issue	8

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