Stochastic local search and parameters recommendation: a case study on flowshop problems
| Autor: | Lucas M. Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado, Alex A. Freitas |
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| Přispěvatelé: | Federal University of Technology - Paraná (UTFPR), Operational Research, Knowledge And Data (ORKAD), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), School of Computing [Kent], University of Kent [Canterbury] |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
Mathematical optimization
Computer science business.industry Management of Technology and Innovation Strategy and Management Local search (optimization) [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Management Science and Operations Research Business and International Management [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM] business Computer Science Applications |
| Zdroj: | International Transactions in Operational Research International Transactions in Operational Research, 2023, 30 (2), pp.774-799. ⟨10.1111/itor.12922⟩ |
| ISSN: | 0969-6016 1475-3995 |
| Popis: | International audience |
| Databáze: | OpenAIRE |
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