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Stochastic local search and parameters recommendation: a case study on flowshop problems

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
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: 31 Jul 2021 11:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/89542 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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