A new hybrid method based on krill herd and cuckoo search for global optimisation tasks

Wang, G-G Gandomi, AH Yang, X-S Alavi, AH

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Publisher:: INDERSCIENCE ENTERPRISES LTD
Publication Type:: Journal Article
Citation:: INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2016, 8, (5), pp. 286-299
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Wang, G-G
dc.contributor.author	Gandomi, AH
dc.contributor.author	Yang, X-S
dc.contributor.author	Alavi, AH
dc.date.accessioned	2022-08-10T22:38:00Z
dc.date.available	2022-08-10T22:38:00Z
dc.date.issued	2016-01-01
dc.identifier.citation	INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2016, 8, (5), pp. 286-299
dc.identifier.issn	1758-0366
dc.identifier.issn	1758-0374
dc.identifier.uri	http://hdl.handle.net/10453/159862
dc.language	English
dc.publisher	INDERSCIENCE ENTERPRISES LTD
dc.relation.ispartof	INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
dc.relation.isbasedon	10.1504/IJBIC.2016.10000414
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences
dc.title	A new hybrid method based on krill herd and cuckoo search for global optimisation tasks
dc.type	Journal Article
utslib.citation.volume	8
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	closed_access	*
dc.date.updated	2022-08-10T22:37:59Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	8
utslib.citation.issue	5

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