QoS-aware service composition for cloud manufacturing based on the optimal construction of synergistic elementary service groups Liu, Bo and Zhang, Zili 2017, QoS-aware service composition for cloud manufacturing based on the optimal construction of synergistic elementary service groups, International journal of advanced manufacturing technology, vol. 88, no. 9-12, pp. 2757-2771, doi: 10.1007/s00170-016-8992-7. Attached Files Name Description MIMEType Size Downloads Title QoS-aware service composition for cloud manufacturing based on the optimal construction of synergistic elementary service groups Author(s) Liu, Bo orcid.org/0000-0002-3603-6617 Zhang, Zili orcid.org/0000-0002-8721-9333 Journal name International journal of advanced manufacturing technology Volume number 88 Issue number 9-12 Start page 2757 End page 2771 Total pages 15 Publisher Springer Place of publication London, Eng. Publication date 2017-02 ISSN 0268-3768 1433-3015 Keyword(s) cloud manufacturing (CMfg) service composition quality of service (QoS) synergistic elementary service group (SESG) genetic algorithm Language eng DOI 10.1007/s00170-016-8992-7 Field of Research 09 Engineering 08 Information And Computing Sciences 01 Mathematical Sciences HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, Springer-Verlag London Persistent URL http://hdl.handle.net/10536/DRO/DU:30107023 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 26 Mar 2018, 12:17:36 EST Tue, 27 Mar 2018, 04:00:24 EST Tue, 27 Mar 2018, 05:04:15 EST Tue, 27 Mar 2018, 09:09:48 EST Tue, 27 Mar 2018, 09:11:12 EST Tue, 27 Mar 2018, 09:11:54 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 14 times in Scopus Search Google Scholar Access Statistics: 38 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Mon, 26 Mar 2018, 12:17:36 EST

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