| 2026 | GECCO | Hybridizing Genetic Algorithms with Pareto Local Search for Multi-Objective Rule Learning. | Evgueni Blanquart, Laetitia Jourdan, Nadarajen Veerapen |
| 2026 | GECCO | Exploring the Parameterized Complexity of TSP Operators in Multi-Objective Optimization. | Narges Tavassoli Kejani, Julien Baste, Marie-Emilie Voge, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2026 | GECCO | Study of Decomposition and Ants Allocation in Multi-Objective Partial Classification Rule Induction. | Adel Abdelkader Mokadem, Marie-Elonore Kessaci, Laetitia Jourdan, Julie Jacques |
| 2026 | PPSN | Multi-objective Approaches for Leakage-Safe Compact Prediction on Temporal Logs. | Qianyun Ye, Mounir Hafsa, Laetitia Jourdan, Clarisse Dhaenens, Julie Jacques |
| 2024 | PPSN | Solution-Based Knowledge Discovery for Multi-objective Optimization. | Clment Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2023 | CEC | A Hybrid Genetic Approach for Bi-Level Flexible Job Shops Arising from Selective Deconstruction. | Corentin Juvigny, Julien Baste, Guillaume Lozenguez, Arnaud Doniec, Laetitia Jourdan |
| 2023 | EMO | Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. | Clment Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2022 | GECCO | Multi-objective recommender system for corporate MOOC. | Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan |
| 2022 | GECCO | Enhancing MOEA/D with learning: application to routing problems with time windows. | Clment Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2022 | RecSys | A Multi-Objective E-learning Recommender System at Mandarine Academy. | Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan |
| 2022 | SMC | Dynamic Dempster Multi-Layer Perceptron for the prediction of admission patient in emergency department. | Khouloud Fakhfakh Maala, Sarah Ben Othman, Hayfa Zgaya-Biau, Laetitia Jourdan, Jean-Marie Renard, Slim Hammadi |
| 2021 | CEC | A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study. | Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan |
| 2021 | GECCO | CLAHC - custom late acceptance hill climbing: first results on TSP. | Sylvain Clay, Lucien Mousin, Nadarajen Veerapen, Laetitia Jourdan |
| 2021 | GECCO | A hybrid CP/MOLS approach for multi-objective imbalanced classification. | Nicolas Szczepanski, Gilles Audemard, Laetitia Jourdan, Christophe Lecoutre, Lucien Mousin, Nadarajen Veerapen |
| 2021 | HIS | Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm. | Weerapan Sae-Dan, Marie-Elonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan |
| 2021 | ICCS | Fuzzy Ontology for Patient Emergency Department Triage. | Khouloud Fakhfakh, Sarah Ben Othman, Laetitia Jourdan, Grgoire Smith, Jean-Marie Renard, Slim Hammadi, Hayfa Zgaya-Biau |
| 2021 | ICTAI | AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem. | Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2020 | CEC | Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem. | Mahmoud Golabi, Soheila Ghambari, Julien Lepagnot, Laetitia Jourdan, Mathieu Brvilliers, Lhassane Idoumghar |
| 2020 | CEC | Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. | Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2020 | GECCO | Time-dependent automatic parameter configuration of a local search algorithm. | Weerapan Sae-Dan, Marie-Elonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan |
| 2020 | ICTAI | An Enhanced NSGA-II for Multiobjective UAV Path Planning in Urban Environments. | Soheila Ghambari, Mahmoud Golabi, Julien Lepagnot, Mathieu Brvilliers, Laetitia Jourdan, Lhassane Idoumghar |
| 2020 | ICTAI | Automatic Configuration of Multi-Thread Local Search: Preliminary Results on Bi-objective TSP. | Nicolas Szczepanski, Lucien Mousin, Nadarajen Veerapen, Laetitia Jourdan |
| 2020 | PPSN | Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. | Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2019 | EMO | Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. | Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2019 | ICTAI | TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets. | Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Elonore Kessaci |
| 2018 | ICTAI | Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. | Aymeric Blot, Holger H. Hoos, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2018 | PPSN | New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop. | Aymeric Blot, Manuel Lpez-Ibez, Marie-Elonore Kessaci, Laetitia Jourdan |
| 2017 | EMO | Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation. | Aymeric Blot, Alexis Pernet, Laetitia Jourdan, Marie-lonore Kessaci-Marmion, Holger H. Hoos |
| 2017 | GECCO | Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problem. | Aymeric Blot, Laetitia Jourdan, Marie-lonore Kessaci-Marmion |
| 2016 | GECCO | Multi-objective Neutral Neighbors': What could be the definition(s)? | Marie-Elonore Marmion, Hernn E. Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Kiyoshi Tanaka |
| 2015 | EMO | Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms. | Aymeric Blot, Hernn E. Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Marie-Elonore Marmion, Kiyoshi Tanaka |
| 2015 | EMO | A Comparison of Decoding Strategies for the 0/1 Multi-objective Unit Commitment Problem. | Sophie Jacquin, Lucien Mousin, Igor Machado Coelho, El-Ghazali Talbi, Laetitia Jourdan |
| 2013 | EMO | Multiobjective Path Relinking for Biclustering: Application to Microarray Data. | Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi |
| 2013 | GECCO | The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data. | Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens |
| 2012 | CIBCB | Hybrid metaheuristic for multi-objective biclustering in microarray data. | Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi |
| 2011 | CEC | Multi-objective evolutionary algorithm for biclustering in microarrays data. | Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi |
| 2011 | GECCO | The road to VEGAS: guiding the search over neutral networks. | Marie-Elonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sbastien Vrel |
| 2010 | AICCSA | Adaptive particle swarm for solving the Dynamic Vehicle Routing Problem. | Mostepha Redouane Khouadjia, Laetitia Jourdan, El-Ghazali Talbi |
| 2010 | AICCSA | Comparison of neighborhoods for the HFF-AVRP. | Marie-Elonore Marmion, Jrmie Humeau, Laetitia Jourdan, Clarisse Dhaenens |
| 2010 | CEC | Using multiobjective metaheuristics to solve VRP with uncertain demands. | Dalia Sulieman, Laetitia Jourdan, El-Ghazali Talbi |
| 2008 | AICCSA | Comparison of population based metaheuristics for feature selection: Application to microarray data classification. | El-Ghazali Talbi, Laetitia Jourdan, Jos Garca-Nieto, Enrique Alba |
| 2008 | CIBCB | Parallel multi-objective algorithms for the molecular docking problem. | Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Dragos Horvath |
| 2007 | CEC | Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms. | Enrique Alba, Jos Garca-Nieto, Laetitia Jourdan, El-Ghazali Talbi |
| 2007 | EMO | ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization. | Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi |
| 2007 | EMO | Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem. | Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi |
| 2007 | EMO | A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. | Oliver Schtze, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi, Jean Luc Wojkiewicz |
| 2007 | GECCO | A comparison of PSO and GA approaches for gene selection and classification of microarray data. | Jos Garca-Nieto, Enrique Alba, Laetitia Jourdan, El-Ghazali Talbi |
| 2006 | AINA | A Preliminary Work on Evolutionary Identification of Protein Variants and New Proteins on Grids. | Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Christian Rolando |
| 2006 | CEC | Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry. | Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Christian Rolando |
| 2005 | EMO | Preliminary Investigation of the 'Learnable Evolution Model' for Faster/Better Multiobjective Water Systems Design. | Laetitia Jourdan, David Corne, Dragan A. Savic, Godfrey A. Walters |