Evolving Large Reusable Multi-pass Heuristics for Resource Constrained Job Scheduling Nguyen, Su and Thiruvady, Dhananjay 2020, Evolving Large Reusable Multi-pass Heuristics for Resource Constrained Job Scheduling, in CEC 2020 : Proceedings from the IEEE Congress on Evolutionary Computation, IEEE, Piscataway, N.J., pp. 1-8, doi: 10.1109/CEC48606.2020.9185539. Attached Files Name Description MIMEType Size Downloads Title Evolving Large Reusable Multi-pass Heuristics for Resource Constrained Job Scheduling Author(s) Nguyen, Su Thiruvady, Dhananjay orcid.org/0000-0002-8011-933X Conference name Congress on Evolutionary Computation (2020 : Online from Glasgow, Scotland) Conference location Online from Glasgow, Scotland Conference dates 19-24 Jul. 2020 Title of proceedings CEC 2020 : Proceedings from the IEEE Congress on Evolutionary Computation Publication date 2020 Start page 1 End page 8 Total pages 8 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) genetic programming scheduling learning CORE2020 B ISBN 9781728169293 Language eng DOI 10.1109/CEC48606.2020.9185539 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30141034 Document type: Conference Paper 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, 21 Aug 2020, 15:16:48 EST Fri, 21 Aug 2020, 15:17:29 EST Sat, 22 Aug 2020, 05:01:05 EST Mon, 24 Aug 2020, 08:04:46 EST Tue, 08 Sep 2020, 12:46:26 EST Wed, 09 Sep 2020, 06:03:37 EST Wed, 09 Sep 2020, 14:13:57 EST Wed, 09 Sep 2020, 14:15:29 EST Wed, 09 Sep 2020, 14:16:55 EST Sat, 17 Oct 2020, 01:34:04 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 28 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 08 Sep 2020, 12:46:26 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.