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 |
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| Item Type: | Article |
|---|---|
| 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 |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
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| Depositing User: | Alex Freitas |
| Date Deposited: | 31 Jul 2021 11:48 UTC |
| Last Modified: | 20 May 2025 10:26 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/89542 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Freitas, Alex A..
| Creator's ORCID: |
 https://orcid.org/0000-0001-9825-4700
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