Pavelski, L, Delgado, Myriam, Kessaci, M.E., Freitas, Alex A. (2020) Stochastic local search and parameters recommendation: a case study on flowshop problems. International Transactions in Operational Research, . pp. 1-26. ISSN 1475-3995. (doi:10.1111/itor.12922) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:89542)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
Official URL: https://doi.org/10.1111/itor.12922 |
Item Type: | Article |
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DOI/Identification number: | 10.1111/itor.12922 |
Uncontrolled keywords: | machine learning, stochastic local search, parameter tuning, flowshop problem |
Subjects: | Q Science > Q Science (General) > Q335 Artificial intelligence |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Alex Freitas |
Date Deposited: | 31 Jul 2021 11:48 UTC |
Last Modified: | 19 Oct 2022 22:09 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/89542 (The current URI for this page, for reference purposes) |
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