An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition Zhang, Xiaoge, Chan, Felix TS, Adamatzky, Andrew, Mahadevan, Sankaran, Yang, Hai, Zhang, Zili and Deng, Yong 2017, An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition, International journal of production research, vol. 55, no. 1, pp. 244-263, doi: 10.1080/00207543.2016.1203075. Attached Files Name Description MIMEType Size Downloads Title An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition Author(s) Zhang, Xiaoge Chan, Felix TS Adamatzky, Andrew Mahadevan, Sankaran Yang, Hai Zhang, Zili orcid.org/0000-0002-8721-9333 Deng, Yong Journal name International journal of production research Volume number 55 Issue number 1 Start page 244 End page 263 Total pages 20 Publisher Taylor & Francis Place of publication Abingdon, Eng. Publication date 2017 ISSN 0020-7543 1366-588X Keyword(s) supply chain design decision support systems artificial intelligence Physarum network oligopolies Language eng DOI 10.1080/00207543.2016.1203075 Field of Research MD Multidisciplinary HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, Informa UK Limited Persistent URL http://hdl.handle.net/10536/DRO/DU:30105965 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment 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 Fri, 19 Jan 2018, 14:07:45 EST Sat, 20 Jan 2018, 04:01:33 EST Sat, 20 Jan 2018, 05:04:48 EST Fri, 02 Mar 2018, 10:38:22 EST Fri, 02 Mar 2018, 10:40:03 EST Fri, 02 Mar 2018, 10:40:51 EST Filtered Full Citation counts:   Cited 56 times in TR Web of Science Cited 27 times in Scopus Search Google Scholar Access Statistics: 246 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Fri, 19 Jan 2018, 14:07:45 EST

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