A genetic programming approach for evolving variable selectors in constraint programming Nguyen, Su, Thiruvady, Dhananjay, Zhang, Mengjie and Tan, Kay Chen 2021, A genetic programming approach for evolving variable selectors in constraint programming, IEEE transactions on evolutionary computation, pp. 1-16, doi: 10.1109/TEVC.2021.3050465. Attached Files Name Description MIMEType Size Downloads Title A genetic programming approach for evolving variable selectors in constraint programming Author(s) Nguyen, Su Thiruvady, Dhananjay orcid.org/0000-0002-8011-933X Zhang, Mengjie Tan, Kay Chen Journal name IEEE transactions on evolutionary computation Start page 1 End page 16 Total pages 16 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2021-01-11 ISSN 1089-778X 1941-0026 Keyword(s) Genetic Programming Job-Shop Scheduling Makespan Tardiness Heuristics Language eng DOI 10.1109/TEVC.2021.3050465 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 0806 Information Systems 0906 Electrical and Electronic Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30147434 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 Thu, 21 Jan 2021, 09:25:43 EST Thu, 21 Jan 2021, 13:05:57 EST Fri, 22 Jan 2021, 04:01:48 EST Fri, 22 Jan 2021, 05:05:47 EST Sat, 13 Feb 2021, 01:30:31 EST Fri, 26 Feb 2021, 13:24:30 EST Fri, 26 Feb 2021, 13:26:00 EST Fri, 26 Feb 2021, 14:47:11 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 18 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Thu, 21 Jan 2021, 13:05:57 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.