Marie-Éléonore Kessaci
Professeure des universités
CNU : SECTION 27 - INFORMATIQUE
Laboratoire / équipe
Contact
marie-eleonore.kessaci[chez]univ-lille[point].fr
+33 (0)3 28 76 74 36 (Polytech) -- +33 (0)3 28 77 85 63 (ESPRIT)
F029 (Polytech) -- S3.01 (ESPRIT)
Publications
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"title_s":["Investigation of the Benefit of Extracting Patterns from Local Optima to Solve a Bi-objective VRPTW"],
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"citationFull_s":"Lucien Mousin, Laetitia Jourdan, Marie-Éléonore Kessaci, Nadarajen Veerapen, Nicolas Szczepanski, et al.. MH-Builder. 2023, <a target=\"_blank\" style=\"word-break: break-all;\" href=\"https://archive.softwareheritage.org/browse/swh:1:dir:b4cc43c06702b8d5cec1052450ae5e13ac05667e;origin=https://gitlab.cristal.univ-lille.fr/orkad-public/mh-builder;visit=swh:1:snp:737c946f7627e21eb6dfc02459382e21913e6d7d;anchor=swh:1:rev:e756f05e57acdc148d9d889e790415b1f28f58ff\">⟨swh:1:dir:b4cc43c06702b8d5cec1052450ae5e13ac05667e;origin=https://gitlab.cristal.univ-lille.fr/orkad-public/mh-builder;visit=swh:1:snp:737c946f7627e21eb6dfc02459382e21913e6d7d;anchor=swh:1:rev:e756f05e57acdc148d9d889e790415b1f28f58ff⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04444623v1\">⟨hal-04444623⟩</a>",
"title_s":["MH-Builder"],
"authFullName_s":["Lucien Mousin","Laetitia Jourdan","Marie-Éléonore Kessaci","Nadarajen Veerapen","Nicolas Szczepanski","Amadeu Almeida Coco","Caron Olivier"],
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"citationFull_s":"Laurent Parmentier, Laetitia Jourdan, Marie-Eléonore Kessaci, Olivier Nicol, Olivier Caron. Mary-Morstan. 2023, <a target=\"_blank\" style=\"word-break: break-all;\" href=\"https://archive.softwareheritage.org/browse/swh:1:dir:a678c81c3b7b1f87929c97f438421c565f591ab2;origin=https://gitlab.cristal.univ-lille.fr/orkad-public/mary-morstan.git;visit=swh:1:snp:cd3534b3ced199c37782f23155c6c12ef3ee85a6;anchor=swh:1:rev:68f71ea4ab3864ffdd85afeadc2637bc108d9d07\">⟨swh:1:dir:a678c81c3b7b1f87929c97f438421c565f591ab2;origin=https://gitlab.cristal.univ-lille.fr/orkad-public/mary-morstan.git;visit=swh:1:snp:cd3534b3ced199c37782f23155c6c12ef3ee85a6;anchor=swh:1:rev:68f71ea4ab3864ffdd85afeadc2637bc108d9d07⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04444425v1\">⟨hal-04444425⟩</a>",
"title_s":["Mary-Morstan"],
"authFullName_s":["Laurent Parmentier","Laetitia Jourdan","Marie-Eléonore Kessaci","Olivier Nicol","Olivier Caron"],
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"citationFull_s":"Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci. Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem. <i>International Transactions in Operational Research</i>, 2023, Developments in Metaheuristics, 30 (2), pp.1179 - 1180. <a target=\"_blank\" href=\"https://dx.doi.org/10.1111/itor.13223\">⟨10.1111/itor.13223⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04299349v1\">⟨hal-04299349⟩</a>",
"title_s":["Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem"],
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"citationFull_s":"Thomas Feutrier, Nadarajen Veerapen, Marie-Eleonore Kessaci. Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction. <i>GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation</i>, Jul 2023, Lisbon Portugal, France. pp.203-206, <a target=\"_blank\" href=\"https://dx.doi.org/10.1145/3583133.3590690\">⟨10.1145/3583133.3590690⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04197698v1\">⟨hal-04197698⟩</a>",
"title_s":["Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction"],
"authFullName_s":["Thomas Feutrier","Nadarajen Veerapen","Marie-Eleonore Kessaci"],
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"citationRef_s":"<i>IEEE 2023 Congress on Evolutionary Computation</i>, IEEE, Jul 2023, Chicago, France. pp.01-08, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/CEC53210.2023.10253986\">⟨10.1109/CEC53210.2023.10253986⟩</a>",
"citationFull_s":"Thomas Feutrier, Nadarajen Veerapen, Marie-Éléonore Kessaci. When Simpler is Better:\r\nAutomated Configuration of a University Timetabling Solver. <i>IEEE 2023 Congress on Evolutionary Computation</i>, IEEE, Jul 2023, Chicago, France. pp.01-08, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/CEC53210.2023.10253986\">⟨10.1109/CEC53210.2023.10253986⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04206182v1\">⟨hal-04206182⟩</a>",
"title_s":["When Simpler is Better: Automated Configuration of a University Timetabling Solver"],
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"citationFull_s":"Lucas Pavelski, Myriam Delgado, Marie‐éléonore Kessaci, Alex Freitas. Stochastic local search and parameters recommendation: a case study on flowshop problems. <i>International Transactions in Operational Research</i>, 2023, 30 (2), pp.774-799. <a target=\"_blank\" href=\"https://dx.doi.org/10.1111/itor.12922\">⟨10.1111/itor.12922⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03861824v1\">⟨hal-03861824⟩</a>",
"title_s":["Stochastic local search and parameters recommendation: a case study on flowshop problems"],
"authFullName_s":["Lucas Pavelski","Myriam Delgado","Marie‐éléonore Kessaci","Alex Freitas"],
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"citationFull_s":"Clément Legrand, Diego Cattaruzza, Marie-Eléonore Kessaci, Laetitia Jourdan. Integration of Knowledge Discovery into MOEA/D. <i>ROADEF 2023</i>, Feb 2023, Rennes, France. <a target=\"_blank\" href=\"https://hal.science/hal-04206237v1\">⟨hal-04206237⟩</a>",
"title_s":["Integration of Knowledge Discovery into MOEA/D"],
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"citationFull_s":"Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen. Predicting Feasibility in University Timetabling. <i>ROADEF 2023</i>, Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2023, Rennes, France. <a target=\"_blank\" href=\"https://hal.science/hal-04206167v1\">⟨hal-04206167⟩</a>",
"title_s":["Predicting Feasibility in University Timetabling"],
"authFullName_s":["Thomas Feutrier","Marie-Eléonore Kessaci","Nadarajen Veerapen"],
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"citationRef_s":"<i>BRACIS</i>, Nov 2022, Campinas, Brazil. pp.325-339, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-21686-2_23\">⟨10.1007/978-3-031-21686-2_23⟩</a>",
"citationFull_s":"Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Éléonore Kessaci. A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration. <i>BRACIS</i>, Nov 2022, Campinas, Brazil. pp.325-339, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-21686-2_23\">⟨10.1007/978-3-031-21686-2_23⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03971637v1\">⟨hal-03971637⟩</a>",
"title_s":["A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration"],
"authFullName_s":["Lucas Marcondes Pavelski","Myriam Regattieri Delgado","Marie-Éléonore Kessaci"],
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"citationFull_s":"Thomas Feutrier, Marie-Éléonore Kessaci, Nadarajen Veerapen. Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem. <i>Parallel Problem Solving from Nature – PPSN XVII</i>, Sep 2022, Dortmund, Germany. pp.548-561, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-14714-2_38\">⟨10.1007/978-3-031-14714-2_38⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03791817v1\">⟨hal-03791817⟩</a>",
"title_s":["Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem"],
"authFullName_s":["Thomas Feutrier","Marie-Éléonore Kessaci","Nadarajen Veerapen"],
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"citationFull_s":"Holger Hoos, Laetitia Jourdan, Marie‐eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen. Special Cluster on Stochastic Local Search: Recent Developments and Trends. <i>International Transactions in Operational Research</i>, 29 (5), pp.2731-3232, 2022, <a target=\"_blank\" href=\"https://dx.doi.org/10.1111/itor.13107\">⟨10.1111/itor.13107⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03858533v1\">⟨hal-03858533⟩</a>",
"title_s":["Special Cluster on Stochastic Local Search: Recent Developments and Trends"],
"authFullName_s":["Holger Hoos","Laetitia Jourdan","Marie‐eléonore Kessaci","Thomas Stützle","Nadarajen Veerapen"],
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"citationFull_s":"Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci. New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows. <i>MIC 2022 - Metaheuristics International Conference</i>, Jul 2022, Ortigia-Syracuse, Italy. pp.45-60, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-031-26504-4_4\">⟨10.1007/978-3-031-26504-4_4⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04009988v1\">⟨hal-04009988⟩</a>",
"title_s":["New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows"],
"authFullName_s":["Clément Legrand","Diego Cattaruzza","Laetitia Jourdan","Marie-Eléonore Kessaci"],
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"citationFull_s":"Thomas Feutrier, Nadarajen Veerapen, Marie-Éléonore Kessaci. Exploiting landscape features for fitness prediction in university timetabling. <i>GECCO ’22 Companion: Companion Conference on Genetic and Evolutionary Computation</i>, Jul 2022, Boston, MA, United States. pp.192-195, <a target=\"_blank\" href=\"https://dx.doi.org/10.1145/3520304.3528910\">⟨10.1145/3520304.3528910⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03791808v1\">⟨hal-03791808⟩</a>",
"title_s":["Exploiting landscape features for fitness prediction in university timetabling"],
"authFullName_s":["Thomas Feutrier","Nadarajen Veerapen","Marie-Éléonore Kessaci"],
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"citationFull_s":"Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci. Enhancing MOEA/D with Learning: Application to Routing Problems with Time Windows. <i>GECCO 2022 - The Genetic and Evolutionary Computation Conference</i>, Jul 2022, Boston, United States. <a target=\"_blank\" href=\"https://dx.doi.org/10.1145/3520304.3528909\">⟨10.1145/3520304.3528909⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03791804v1\">⟨hal-03791804⟩</a>",
"title_s":["Enhancing MOEA/D with Learning: Application to Routing Problems with Time Windows"],
"authFullName_s":["Clément Legrand","Diego Cattaruzza","Laetitia Jourdan","Marie-Eléonore Kessaci"],
"halId_s":"hal-03791804",
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"citationRef_s":"<i>23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision</i>, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France",
"citationFull_s":"Thomas Feutrier, Marie-Eleonore Kessaci, Nadarajen Veerapen. Landscape-based Performance Prediction for University Timetabling Optimization. <i>23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision</i>, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France. <a target=\"_blank\" href=\"https://hal.science/hal-03595311v1\">⟨hal-03595311⟩</a>",
"title_s":["Landscape-based Performance Prediction for University Timetabling Optimization"],
"authFullName_s":["Thomas Feutrier","Marie-Eleonore Kessaci","Nadarajen Veerapen"],
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"citationFull_s":"Clément Legrand, Laetitia Jourdan, Marie-Eléonore Kessaci, Diego Cattaruzza. Machine Learning for Multi-Objective Problems. <i>ROADEF 2022 - 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision</i>, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France. <a target=\"_blank\" href=\"https://hal.science/hal-03595321v1\">⟨hal-03595321⟩</a>",
"title_s":["Machine Learning for Multi-Objective Problems"],
"authFullName_s":["Clément Legrand","Laetitia Jourdan","Marie-Eléonore Kessaci","Diego Cattaruzza"],
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"citationRef_s":"<i>21st International Conference on Hybrid Intelligent Systems (HIS 2021)</i>, Dec 2021, online, United States. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-030-96305-7_15\">⟨10.1007/978-3-030-96305-7_15⟩</a>",
"citationFull_s":"Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan. Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm. <i>21st International Conference on Hybrid Intelligent Systems (HIS 2021)</i>, Dec 2021, online, United States. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-030-96305-7_15\">⟨10.1007/978-3-030-96305-7_15⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03449789v1\">⟨hal-03449789⟩</a>",
"title_s":["Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm"],
"authFullName_s":["Weerapan Sae-Dan","Marie-Eléonore Kessaci","Nadarajen Veerapen","Laetitia Jourdan"],
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"citationFull_s":"Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Delgado. Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems. <i>BRACIS</i>, Nov 2021, online, Brazil. pp.155-169, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-030-91702-9_11\">⟨10.1007/978-3-030-91702-9_11⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03509717v1\">⟨hal-03509717⟩</a>",
"title_s":["Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems"],
"authFullName_s":["Lucas Marcondes Pavelski","Marie-Eléonore Kessaci","Myriam Delgado"],
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"citationRef_s":"<i>ICTAI 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence</i>, Nov 2021, Washington, United States",
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