A multi-agent system for the weighted earliness tardiness parallel machine problem Polyakovskiy, Sergey and M'Hallah, R 2014, A multi-agent system for the weighted earliness tardiness parallel machine problem, Computers and operations research, vol. 44, pp. 115-136, doi: 10.1016/j.cor.2013.10.013. Attached Files Name Description MIMEType Size Downloads Title A multi-agent system for the weighted earliness tardiness parallel machine problem Author(s) Polyakovskiy, Sergey orcid.org/0000-0001-9489-1972 M'Hallah, R Journal name Computers and operations research Volume number 44 Start page 115 End page 136 Total pages 22 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2014-04 ISSN 0305-0548 Keyword(s) parallel machine scheduling multi-agent systems artificial intelligence earliness tardiness local search science & technology technology computer science, interdisciplinary applications engineering, industrial operations research & management science computer science engineering Language eng DOI 10.1016/j.cor.2013.10.013 Field of Research 0102 Applied Mathematics 0103 Numerical And Computational Mathematics HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2013, Elsevier Ltd. Persistent URL http://hdl.handle.net/10536/DRO/DU:30108040 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 Tue, 01 May 2018, 17:06:47 EST Wed, 02 May 2018, 05:01:08 EST Wed, 02 May 2018, 06:05:39 EST Thu, 03 May 2018, 10:27:15 EST Thu, 03 May 2018, 10:29:04 EST Thu, 03 May 2018, 10:29:44 EST Filtered Full Citation counts:   Cited 16 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 218 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2018, 17:06:47 EST

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