Optimum design of the chute-flip bucket system using evolutionary algorithms considering conflicts between decision-makers

Bananmah, M Nikoo, MR Mooselu, MG Gandomi, AH

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Field	Value	Language
dc.contributor.author	Bananmah, M
dc.contributor.author	Nikoo, MR
dc.contributor.author	Mooselu, MG
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2023-01-27T05:35:59Z
dc.date.available	2023-01-27T05:35:59Z
dc.date.issued	2022-12-01
dc.identifier.citation	Expert Systems with Applications, 2022, 216, pp. 119480
dc.identifier.issn	0957-4174
dc.identifier.uri	http://hdl.handle.net/10453/165540
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Expert Systems with Applications
dc.relation.isbasedon	10.1016/j.eswa.2022.119480
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Optimum design of the chute-flip bucket system using evolutionary algorithms considering conflicts between decision-makers
dc.type	Journal Article
utslib.citation.volume	216
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2025-04-01T00:00:00+1000Z
dc.date.updated	2023-01-27T05:35:37Z
pubs.publication-status	Accepted
pubs.volume	216

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