Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Marie-Éléonore Kessaci"'
Publikováno v:
PPSN XVII
PPSN XVII, Sep 2022, Dortmund, Germany. pp.548-561, ⟨10.1007/978-3-031-14714-2_38⟩
Lecture Notes in Computer Science ISBN: 9783031147135
PPSN XVII, Sep 2022, Dortmund, Germany. pp.548-561, ⟨10.1007/978-3-031-14714-2_38⟩
Lecture Notes in Computer Science ISBN: 9783031147135
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33771d2e9d4c62ce3d73553178f5ef2d
https://hal.science/hal-03791817
https://hal.science/hal-03791817
Publikováno v:
Intelligent Systems ISBN: 9783031216855
BRACIS
BRACIS, Nov 2022, Campinas, Brazil. pp.325-339, ⟨10.1007/978-3-031-21686-2_23⟩
BRACIS
BRACIS, Nov 2022, Campinas, Brazil. pp.325-339, ⟨10.1007/978-3-031-21686-2_23⟩
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72ad7d64b3669c32055591261e336a2c
https://doi.org/10.1007/978-3-031-21686-2_23
https://doi.org/10.1007/978-3-031-21686-2_23
Autor:
Laetitia Jourdan, Holger H. Hoos, Alexis Pernet, Aymeric Blot, Marie-Éléonore Kessaci-Marmion
Publikováno v:
Lecture Notes in Computer Science
EMO 2017-9th International Conference on Evolutionary Multi-Criterion Optimization
EMO 2017-9th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2017, Münster, Germany. pp.61-73, ⟨10.1007/978-3-319-54157-0_5⟩
Lecture Notes in Computer Science ISBN: 9783319541563
EMO
EMO 2017-9th International Conference on Evolutionary Multi-Criterion Optimization
EMO 2017-9th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2017, Münster, Germany. pp.61-73, ⟨10.1007/978-3-319-54157-0_5⟩
Lecture Notes in Computer Science ISBN: 9783319541563
EMO
International audience; Automatic algorithm configuration (AAC) is becoming an increasingly crucial component in the design of high-performance solvers for many challenging combinatorial optimisation problems. This raises the question how to most eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c3aed59280594da4a90fa2cfb8c08d6
https://hal.science/hal-01559690
https://hal.science/hal-01559690
Autor:
Laetitia Jourdan, Heike Trautmann, Holger H. Hoos, Marie-Éléonore Kessaci-Marmion, Aymeric Blot
Publikováno v:
Learning and Intelligent Optimization
Learning and Intelligent Optimization, May 2016, Ischia, Italy. pp.32-47, ⟨10.1007/978-3-319-50349-3_3⟩
Lecture Notes in Computer Science ISBN: 9783319503486
LION
Learning and Intelligent Optimization, May 2016, Ischia, Italy. pp.32-47, ⟨10.1007/978-3-319-50349-3_3⟩
Lecture Notes in Computer Science ISBN: 9783319503486
LION
International audience; Automated algorithm configuration procedures play an increasingly important role in the development and application of algorithms for a wide range of computationally challenging problems. Until very recently, these configurati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc2d9dad080bf64871a70f1968b7faa
https://hal.science/hal-01370392/document
https://hal.science/hal-01370392/document
Autor:
Sae-Dan, W. (Weerapan)
Les métaheuristiques sont des algorithmes de résolution présentant un grand nombre de paramètres qui leur permettent de s'adapter à tout type de problème d'optimisation. Afin d'obtenir les meilleures performances, les paramètres doivent être
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4198::437f97cf80086948b98ddda6d113bd87
http://hdl.handle.net/20.500.12210/79941
http://hdl.handle.net/20.500.12210/79941
Autor:
Parmentier, L. (Laurent)
L'utilisation grandissante de solutions d'apprentissage automatique (recommandation de films, reconnaissance du texte, détection de la fraude et ainsi de suite) crée une demande pour avoir des outils plus efficaces. En effet, construire un modèle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4198::70b76a0a40ce693b229515a45785b138
http://hdl.handle.net/20.500.12210/80024
http://hdl.handle.net/20.500.12210/80024
Autor:
Sae-Dan, Weerapan
Publikováno v:
Data Structures and Algorithms [cs.DS]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB011⟩
Metaheuristics are resolution algorithms with a large number of parameters that allow them to adapt to any type of optimization problem. In order to obtain the best performance, the parameters must be chosen scrupulously, which generates a very tedio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::203d5e71e414aaff7f4f9e640aeb0f8a
https://theses.hal.science/tel-03945606
https://theses.hal.science/tel-03945606
Autor:
Parmentier, Laurent
Publikováno v:
Data Structures and Algorithms [cs.DS]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB004⟩
The growing usage of machine learning solutions (movie recommendation, speech recognition, fraud detection and so on) pushes the demand for having more efficient tools to build them. Indeed, building a machine learning model is a tedious task. The pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4bcd554faa9ab3fcd6fc6d69204c188e
https://theses.hal.science/tel-03904161
https://theses.hal.science/tel-03904161
Autor:
Blot, Aymeric
Publikováno v:
Operations Research [cs.RO]. Université de Lille; CRIStAL UMR 9189, 2018. English
Operations Research [cs.RO]. Université de Lille; CRIStAL UMR 9189, 2018. English. ⟨NNT : ⟩
Operations Research [cs.RO]. Université de Lille; CRIStAL UMR 9189, 2018. English. ⟨NNT : ⟩
Large-scale optimisation problems are usually hard to solve optimally. Approximation algorithms such as metaheuristics, able to quickly find sub-optimal solutions, are often preferred. This thesis focuses on multi-objective local search (MOLS) algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8e20c96b1a7eadd9cef8f3e8db5f57de
https://hal.archives-ouvertes.fr/tel-01896272
https://hal.archives-ouvertes.fr/tel-01896272