Prof Emma Hart E.Hart@napier.ac.uk
Professor
This document describes two sets of benchmark problem instances for the job shop scheduling problem. Each set of instances is supplied as a compressed (zipped) archive containing a single CSV file for each problem instance using the format described in http://rollproject.org/jssp/jsspGen.pdf
Hart, E., & Sim, K. (2015). Roll Project Job Shop scheduling benchmark problems. [Data]. https://doi.org/10.17869/ENU.2015.9365
Publication Date | Nov 10, 2015 |
---|---|
Deposit Date | Feb 1, 2016 |
Publicly Available Date | Feb 1, 2016 |
Peer Reviewed | Not Peer Reviewed |
DOI | https://doi.org/10.17869/ENU.2015.9365 |
Keywords | Benchmark problem instances; job shop; scheduled problem; combinatorial optimisation; |
Public URL | http://researchrepository.napier.ac.uk/id/eprint/9365 |
Collection Date | Nov 10, 2015 |
Contract Date | Feb 1, 2016 |
JsspTraining.zip
(739 Kb)
Archive
readme.docx
(19 Kb)
Document
jsspGen.pdf
(130 Kb)
PDF
JsspTest.zip
(296 Kb)
Archive
A hyper-heuristic ensemble method for static job-shop scheduling.
(2016)
Journal Article
A research agenda for metaheuristic standardization.
(2015)
Presentation / Conference Contribution
A Lifelong Learning Hyper-heuristic Method for Bin Packing
(2015)
Journal Article
On Constructing Ensembles for Combinatorial Optimisation
(2017)
Journal Article
Use of machine learning techniques to model wind damage to forests
(2018)
Journal Article
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search