Marie-Eléonore Kessaci

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 37

Top Topics

Top Venues

Int. Trans. Oper. Res.

GECCO Companion

Publications

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 (1) (2024)
Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. EMO (2023)
Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci, Alex Alves Freitas
Stochastic local search and parameters recommendation: a case study on flowshop problems. Int. Trans. Oper. Res. 30 (2) (2023)
Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci
When Simpler is Better: Automated Configuration of a University Timetabling Solver. CEC (2023)
Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci
Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction. GECCO Companion (2023)
Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci
Exploiting landscape features for fitness prediction in university timetabling. GECCO Companion (2022)
Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen
Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem. PPSN (1) (2022)
Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration. BRACIS (1) (2022)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends. Int. Trans. Oper. Res. 29 (5) (2022)
Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows. MIC (2022)
Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
Enhancing MOEA/D with learning: application to routing problems with time windows. GECCO Companion (2022)
Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen
Investigating the landscape of a hybrid local search approach for a timetabling problem. GECCO Companion (2021)
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado
Flowshop NEH-Based Heuristic Recommendation. EvoCOP (2021)
Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci
AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem. ICTAI (2021)
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam R. B. S. Delgado
Local Optima Network Sampling for Permutation Flowshop. CEC (2021)
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado
Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems. BRACIS (1) (2021)
Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan
Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm. HIS (2021)
Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. PPSN (1) (2020)
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)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (2) (2020)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (5) (2020)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (3) (2020)
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. CEC (2020)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (4) (2020)
Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan
Time-dependent automatic parameter configuration of a local search algorithm. GECCO Companion (2020)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27 (1) (2020)
Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci
TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets. ICTAI (2019)
Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. EMO (2019)
Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 26 (6) (2019)
Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
Meta-learning on flowshop using fitness landscape analysis. GECCO (2019)
Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens
Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem. CoRR (2019)
Aymeric Blot, Marie-Eléonore Kessaci, Laetitia Jourdan, Patrick De Causmaecker
Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem. LION (2018)
Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees. CEC (2018)
Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. ICTAI (2018)
Aymeric Blot, Manuel López-Ibáñez, Marie-Eléonore Kessaci, Laetitia Jourdan
New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop. PPSN (1) (2018)
Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado
Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design. BRACIS (2018)
Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens
A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem. LION (2017)