Task Scheduling in Cloud Environments: A Survey on Population-based Evolutionary Algorithms

Ramezani, F; Naderpour, M; Taheri, J; Romanous, J; Zomaya, AY

Task Scheduling in Cloud Environments: A Survey on Population-based Evolutionary Algorithms

Ramezani, F Naderpour, M

Taheri, J Romanous, J Zomaya, AY

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Publisher:: John Wiley & Sons
Publication Type:: Chapter
Citation:: Evolutionary Computation in Scheduling, 2020
Issue Date:: 2020-04-29

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Field	Value	Language
dc.contributor.author	Ramezani, F
dc.contributor.author	Naderpour, M https://orcid.org/0000-0002-3549-3875
dc.contributor.author	Taheri, J
dc.contributor.author	Romanous, J
dc.contributor.author	Zomaya, AY
dc.contributor.editor	Gandomi, AH
dc.contributor.editor	Emrouznejad, A
dc.contributor.editor	Jamshidi, MM
dc.contributor.editor	Deb, K
dc.contributor.editor	Rahimi, I
dc.date.accessioned	2020-05-11T05:01:38Z
dc.date.available	2020-05-11T05:01:38Z
dc.date.issued	2020-04-29
dc.identifier.citation	Evolutionary Computation in Scheduling, 2020
dc.identifier.isbn	1119573866
dc.identifier.isbn	9781119573869
dc.identifier.uri	http://hdl.handle.net/10453/140625
dc.description.abstract	This book: Provides a representative sampling of real-world problems currently being tackled by practitioners Examines a variety of single-, multi-, and many-objective problems that have been solved using evolutionary computations, ...
dc.language	en
dc.publisher	John Wiley & Sons
dc.relation.ispartof	Evolutionary Computation in Scheduling
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Task Scheduling in Cloud Environments: A Survey on Population-based Evolutionary Algorithms
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-05-11T05:01:37Z
pubs.publication-status	Published online

Abstract:

This book: Provides a representative sampling of real-world problems currently being tackled by practitioners Examines a variety of single-, multi-, and many-objective problems that have been solved using evolutionary computations, ...

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

http://hdl.handle.net/10453/140625