Marie-Éléonore Kessaci
Publications
Julien Baste, Laetitia Jourdan, Marie-Eléonore Kessaci, Narges Tavassoli, Marie-Emilie Voge
The Parameterized Complexity of Local Search for MOTSP
26e Journées Graphes et Algorithmes, Nov 2024, Dijon, France
Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
Solution-based Knowledge Discovery for Multi-objective Optimization
PPSN 2024, Sep 2024, Hagenberg, Austria
Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
Investigation of the Benefit of Extracting Patterns from Local Optima to Solve a Bi-objective VRPTW
MIC 2024 - Metaheuristics International Conference, Jun 2024, Lorient, France. pp.62-77, ⟨10.1007/978-3-031-62912-9_7⟩
Lucien Mousin, Laetitia Jourdan, Marie-Éléonore Kessaci, Nadarajen Veerapen, Nicolas Szczepanski, Amadeu Almeida Coco, Caron Olivier
MH-Builder
Laurent Parmentier, Laetitia Jourdan, Marie-Eléonore Kessaci, Olivier Nicol, Olivier Caron
Mary-Morstan
Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem
International Transactions in Operational Research, 2023, Developments in Metaheuristics, 30 (2), pp.1179 - 1180. ⟨10.1111/itor.13223⟩
Thomas Feutrier, Nadarajen Veerapen, Marie-Eleonore Kessaci
Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction
GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2023, Lisbon Portugal, France. pp.203-206, ⟨10.1145/3583133.3590690⟩
Thomas Feutrier, Nadarajen Veerapen, Marie-Éléonore Kessaci
When Simpler is Better: Automated Configuration of a University Timetabling Solver
IEEE 2023 Congress on Evolutionary Computation, IEEE, Jul 2023, Chicago, United States. pp.01-08, ⟨10.1109/CEC53210.2023.10253986⟩
Lucas Pavelski, Myriam Delgado, Marie‐éléonore Kessaci, Alex Freitas
Stochastic local search and parameters recommendation: a case study on flowshop problems
International Transactions in Operational Research, 2023, 30 (2), pp.774-799. ⟨10.1111/itor.12922⟩
Clément Legrand, Diego Cattaruzza, Marie-Eléonore Kessaci, Laetitia Jourdan
Integration of Knowledge Discovery into MOEA/D
ROADEF 2023, Feb 2023, Rennes, France
Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen
Predicting Feasibility in University Timetabling
ROADEF 2023, Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2023, Rennes, France
Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Éléonore Kessaci
A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration
BRACIS, Nov 2022, Campinas, Brazil. pp.325-339, ⟨10.1007/978-3-031-21686-2_23⟩
Thomas Feutrier, Marie-Éléonore Kessaci, Nadarajen Veerapen
Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem
Parallel Problem Solving from Nature – PPSN XVII, Sep 2022, Dortmund, Germany. pp.548-561, ⟨10.1007/978-3-031-14714-2_38⟩
Holger Hoos, Laetitia Jourdan, Marie‐eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special Cluster on Stochastic Local Search: Recent Developments and Trends
International Transactions in Operational Research, 29 (5), pp.2731-3232, 2022, ⟨10.1111/itor.13107⟩
Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows
MIC 2022 - Metaheuristics International Conference, Jul 2022, Ortigia-Syracuse, Italy. pp.45-60, ⟨10.1007/978-3-031-26504-4_4⟩
Thomas Feutrier, Nadarajen Veerapen, Marie-Éléonore Kessaci
Exploiting landscape features for fitness prediction in university timetabling
GECCO ’22 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2022, Boston, MA, United States. pp.192-195, ⟨10.1145/3520304.3528910⟩
Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
Enhancing MOEA/D with Learning: Application to Routing Problems with Time Windows
GECCO 2022 - The Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. ⟨10.1145/3520304.3528909⟩
Clément Legrand, Laetitia Jourdan, Marie-Eléonore Kessaci, Diego Cattaruzza
Machine Learning for Multi-Objective Problems
ROADEF 2022 - 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France
Thomas Feutrier, Marie-Eleonore Kessaci, Nadarajen Veerapen
Landscape-based Performance Prediction for University Timetabling Optimization
23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France
Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan
Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm
21st International Conference on Hybrid Intelligent Systems (HIS 2021), Dec 2021, online, United States. ⟨10.1007/978-3-030-96305-7_15⟩
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Delgado
Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems
BRACIS, Nov 2021, online, Brazil. pp.155-169, ⟨10.1007/978-3-030-91702-9_11⟩
Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci
AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem
ICTAI 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence, Nov 2021, Washington, United States
Thomas Feutrier, Marie-Éléonore Kessaci, Nadarajen Veerapen
Investigating the landscape of a hybrid local search approach for a timetabling problem
GECCO '21 Companion: Companion Conference on Genetic and Evolutionary Computation, ACM, Jul 2021, Lille, France. pp.1665-1673, ⟨10.1145/3449726.3463175⟩
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Delgado
Local Optima Network Sampling for Permutation Flowshop
2021 IEEE Congress on Evolutionary Computation (CEC), Jun 2021, Kraków, Poland. pp.1131-1138, ⟨10.1109/CEC45853.2021.9504690⟩
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Delgado
Flowshop NEH-Based Heuristic Recommendation
European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP), Apr 2021, Seville, Spain. pp.136-151, ⟨10.1007/978-3-030-72904-2_9⟩
Clément Legrand, Luca Accorsi, Vigo Daniele, Laetitia Jourdan, Marie-Eléonore Kessaci, Diego Cattaruzza
Using Machine Learning to Enhance Clarke and Wright Heuristic
Conférence ROADEF 2021, Apr 2021, Mulhouse, France
Sara Tari, Holger Hoos, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification
PPSN 2020, Sep 2020, Leiden, Netherlands. pp.65-77, ⟨10.1007/978-3-030-58112-1_5⟩
Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data
2020 IEEE Congress on Evolutionary Computation (CEC), Jul 2020, Glasgow, United Kingdom. pp.1-8, ⟨10.1109/CEC48606.2020.9185785⟩
Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan
Time-Dependent Automatic Parameter Configuration of a Local Search Algorithm
GECCO '20 Companion: Companion Conference on Genetic and Evolutionary Computation, ACM, Jul 2020, Cancún, Mexico. ⟨10.1145/3377929.3398107⟩
Sara Tari, Laetitia Jourdan, Marie-Eléonore Kessaci, Julie Jacques, Lucien Mousin
Optimisation multiobjectif pour le diagnostic de pathologies via biomarqueurs
Congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF), Feb 2020, Montpellier, France
Sara Tari, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm
LION 2020 - Learning and Intelligent Optimization, 2020, Athens, Greece. pp.151-157, ⟨10.1007/978-3-030-53552-0_16⟩
Knowledge-based Design of Stochastic Local Search Algorithms in Combinatorial Optimization
Discrete Mathematics [cs.DM]. Université de Lille, 2019
Laurent Parmentier, Olivier Nicol, Marie-Eléonore Kessaci, Laetitia Jourdan
TPOT-SH: a FasterOptimization Algorithm to Solve the AutoML Problem on Large Datasets
ICTAI - International Conference on Tools with Artificial Intelligence, Nov 2019, Portland, United States
Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan
Automatic Configuration of a Dynamic Hill Climbing Algorithm
SLS - International Workshop on Stochastic Local Search Algorithms, Sep 2019, Villeneuve d'Ascq, France
Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci
TPOT-SH: a Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets
SLS - International Workshop on Stochastic Local Search Algorithms, Sep 2019, Villeneuve d'Ascq, France
Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
Meta-learning on flowshop using fitness landscape analysis
the Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.925-933
Camille Pageau, Aymeric Blot, Holger Hoos, Marie-Éléonore Kessaci, Laetitia Jourdan
Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling
Evolutionary Multi-Criterion Optimization, Mar 2019, Lansing, United States. pp.565-577
Camille Pageau, Aymeric Blot, Holger Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
A Dynamic Algorithm Framework to Automatically Design a Multi-Objective Local Search
ROADEF 2019, Feb 2019, Le Havre, France
Aymeric Blot, Marie-Eléonore Kessaci, Laetitia Jourdan, Holger Hoos
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems
Evolutionary Computation, 2019, pp.1 - 24. ⟨10.1162/evco_a_00240⟩
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado
Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design
2018 7th Brazilian Conference on Intelligent Systems (BRACIS), Oct 2018, Sao Paulo, Brazil. pp.163-168
Aymeric Blot, Holger H Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
Automatic Configuration of Multi-objective Optimization Algorithms. Impact of Correlation between Objectives.
30th International Conference on Tools with Artificial Intelligence, Oct 2018, Volos, Greece
Aymeric Blot, Manuel López-Ibáñez, Marie-Éléonore Kessaci, Laetitia Jourdan
New Initialisation Techniques for Multi-objective Local Search
Parallel Problem Solving from Nature - PPSN XV, Sep 2018, Coimbra, Portugal. ⟨10.1007/978-3-319-99253-2_26⟩
Lucas Pavelski, Myriam Delgado, Marie-Eléonore Kessaci
Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees
2018 IEEE Congress on Evolutionary Computation (CEC), Jul 2018, Rio de Janeiro, France. ⟨10.1109/CEC.2018.8477664⟩
Aymeric Blot, Marie-Éléonore Kessaci, Laetitia Jourdan, Patrick de Causmaecker
Adaptive Multi-Objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem
Learning and Intelligent Optimization Conference (LION 12), Jun 2018, Kalamata, Greece
Aymeric Blot, Marie-Eléonore Kessaci, Laetitia Jourdan
Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation
Journal of Heuristics, 2018, ⟨10.1007/s10732-018-9381-1⟩
Clarisse Dhaenens, Julie Jacques, Vincent Vandewalle, Maxence Vandromme, Emmanuel Chazard, Cristian Preda, Alexandru Amarioarei, Porpimol Chaiwuttisak, Cristina Cozma, Grégoire Ficheur, Marie-Eléonore Kessaci, Renaud Perichon, Julien Taillard, Régis Bordet, Apolline Lansiaux, Laetitia Jourdan, David Delerue, Arnaud Hansske
ClinMine: Optimizing the Management of Patients in Hospital
Innovation and Research in BioMedical engineering, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩
Aymeric Blot, Laetitia Jourdan, Marie-Éléonore Kessaci
Automatic Design of Multi-Objective Local Search Algorithms
GECCO 2017 - Genetic and Evolutionary Computation Conference, Jul 2017, Berlin, Germany. pp.227-234, ⟨10.1145/3071178.3071323⟩
Aymeric Blot, Marie-Éléonore Kessaci-Marmion, Laetitia Jourdan
AMH: a new Framework to Design Adaptive Metaheuristics
12th Metaheuristics International Conference, Jul 2017, Barcelona, Spain
Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens
An Iterated Greedy-based Approach Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem
MIC 2017 - 12th Metaheuristics International Conference, Jul 2017, Barcelona, Spain
Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens
A new constructive heuristic for the No-Wait Flowshop Scheduling Problem
11th Learning and Intelligent OptimizatioN Conference, Jun 2017, Nizhny Novgorod, Russia
Marie-Eléonore Kessaci, Clarisse Dhaenens, Jérémie Humeau
Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems
EMO 2017 - 9th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2017, Munster, Germany. pp.344-358, ⟨10.1007/978-3-319-54157-0_24⟩
Aymeric Blot, Alexis Pernet, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Holger H Hoos
Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation
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⟩
Aymeric Blot, Marie-Éléonore Kessaci-Marmion, Laetitia Jourdan
AMH: une plate-forme pour le design et le contrôle automatique de métaheuristiques multi-objectif
ROADEF2017: 18ème Conférence ROADEF de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2017, Metz, France
Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens
De nouvelles meilleures solutions pour le problème d'ordonnancement No-Wait Flowshop
ROADEF2017: 18ème Conférence ROADEF de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2017, Metz, France
Lucien Mousin, Laetitia Jourdan, Marie-Eléonore Marmion, Clarisse Dhaenens
Feature Selection using Tabu Search with Learning Memory: Learning Tabu Search
Learning and Intelligent OptimizatioN Conference LION 10, May 2016, Ischia Island (Napoli), Italy
Aymeric Blot, Holger Hoos, Laetitia Jourdan, Marie-Éléonore Marmion, Heike Trautmann
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework
Learning and Intelligent Optimization, May 2016, Ischia, Italy. pp.32-47, ⟨10.1007/978-3-319-50349-3_3⟩
Marie-Eléonore Kessaci-Marmion, Hernan Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Kiyoshi Tanaka
Multi-objective Neutral Neighbors? What could be the definition(s)?
Genetic and Evolutionary Computation Conference, 2016, Denver, CO, United States. pp.349--356, ⟨10.1145/2908812.2908902⟩
Marie-Eléonore Marmion, Olivier Regnier-Coudert
Fitness Landscape of the Factoradic Representation on the Permutation Flowshop Scheduling Problem
LION 9 - 9th International Conference on Learning and Intelligent OptimizatioN, Jan 2015, Lille, France. pp.151-164, ⟨10.1007/978-3-319-19084-6_14⟩
Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion
Learning and Intelligent Optimization - 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers
Clarisse Dhaenens and Laetitia Jourdan and Marie-Eléonore Marmion. Springer, 8994, 2015, Lecture Notes in Computer Science, 978-3-319-19083-9. ⟨10.1007/978-3-319-19084-6⟩
Aymeric Blot, Hernan Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion, Kiyoshi Tanaka
Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms
Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 -April 1, 2015. Proceedings, Part I, 2015, Guimarães, Portugal. pp.34--47, ⟨10.1007/978-3-319-15934-8_3⟩
Franco Mascia, Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Marie-Eléonore Marmion, Thomas Stützle
Algorithm comparison by automatically configurable stochastic local search frameworks: a case study using flow-shop scheduling problems
HM 2014 - 9th International Workshop Hybrid Metaheuristics , Jun 2014, Hamburg, Germany. pp.30-44, ⟨10.1007/978-3-319-07644-7_3⟩
Manuel López-Ibáñez, Franco Mascia, Marie-Eléonore Marmion, Thomas Stützle
A Template for Designing Single-Solution Hybrid Metaheuristics
Genetic and evolutionary computation companion, GECCO Comp'14, 2014, Vancouver, Canada
Franco Mascia, Marie-Eléonore Marmion, Manuel Lopéz-Ibáñez, Thomas Stützle
Automatic Design of a Hybrid Iterated Local Search for the Multi-Mode Resource-Constrained Multi-Project Scheduling Problem
MISTA 2013 - Multidisciplinary International Conference on Scheduling: Theory and Applications, Aug 2013, Gent, Belgium. pp.1-6
Marie-Eleonore Marmion, Franco Mascia, Manuel López-Ibánez, Thomas Stützle
Towards the Automatic Design of Metaheuristics
MIC 2013 - 10th Metaheuristics International Conference, Aug 2013, Singapore, Singapore. pp.1-3
Marie-Eleonore Marmion, Franco Mascia, Manuel López-Ibáñez, Thomas Stützle.
Automatic Design of Hybrid Stochastic Local Search Metaheuristics
HM 2013 - 8th International Workshop on Hybrid Metaheuristics, May 2013, Ischia, Italy. pp.144-158, ⟨10.1007/978-3-642-38516-2_12⟩
Marie-Eleonore Marmion, Aymeric Blot, Laetitia Jourdan, Clarisse Dhaenens
Neutralité du problème de coloration de graphe
ROADEF 2013 : 14e congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2013, Troyes, France
Marie-Eleonore Marmion, Aymeric Blot, Laetitia Jourdan, Clarisse Dhaenens
Neutrality in the Graph Coloring Problem
Learning and Intelligent OptimizatioN Conference, Jan 2013, Catania, Italy. pp.125--130
Marie-Eleonore Marmion, Aymeric Blot, Laetitia Jourdan, Clarisse Dhaenens
Neutrality in the Graph Coloring Problem
[Research Report] RR-8215, INRIA. 2013, pp.15
Marie-Eléonore Marmion, Laetitia Jourdan, Clarisse Dhaenens
Fitness Landscape Analysis and Metaheuristics Efficiency
Journal of Mathematical Modelling and Algorithms in Operations Research, 2013, 12 (1), pp.3-26. ⟨10.1007/s10852-012-9177-5⟩
Marie-Eleonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Verel
Conception de recherche locale en présence de neutralité
ROADEF 2012 : 13e congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Apr 2012, Angers, France
Recherche locale et optimisation combinatoire : de l'analyse structurelle d'un problème à la conception d'algorithmes efficaces
Mathématique discrète [cs.DM]. Université des Sciences et Technologie de Lille - Lille I, 2011. Français. ⟨NNT : ⟩
Marie-Eleonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Verel
The Road to VEGAS: Guiding the Search over Neutral Networks
Genetic And Evolutionary Computation Conference, Jun 2011, Dublin, Ireland. pp.1979--1986, ⟨10.1145/2001576.2001842⟩
Marie-Eleonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Verel
NILS: a Neutrality-based Iterated Local Search and its application to Flowshop Scheduling
11th European Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2011, Turino, Italy. pp.191--202
Marie-Eleonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Verel
On the Neutrality of Flowshop Scheduling Fitness Landscapes
Learning and Intelligent OptimizatioN Conference (LION 5), Jan 2011, Rome, Italy. pp.238--252, ⟨10.1007/978-3-642-25566-3_18⟩
Marie-Eleonore Marmion, Clarisse Dhaenens, Laetitia Jourdan
A Fitness Landscape Analysis for the Permutation Flowshop Scheduling Problem
International Conference on Metaheuristics and Nature Inspired Computing (META 2010), Oct 2010, Djerba, Tunisia
Marie-Eleonore Marmion, Laetitia Jourdan, Clarisse Dhaenens
Comparison of Neighborhood for the HFF-AVRP
IEEE International Conference on Computer Systems and Applications (AICCSA 2010 workshop), May 2010, Hammamet, Tunisia
Marie-Eleonore Marmion, Laetitia Jourdan, Clarisse Dhaenens
A new distance measure based on the exchange operator for the HFF-AVRP
[Intern report] RR-7263, INRIA. 2010
Marie-Eleonore Marmion, Laetitia Jourdan, Clarisse Dhaenens
Une nouvelle mesure de distance pour l'ACVRP
ROADEF 2010 : 11e congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2010, Toulouse, France
Recherche
Type de document
Année