Marie-Eléonore Kessaci

41 papers A 1B 8C 3Journal 10Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Generalizing the Structure of a University Timetabling Solver for Flexible Automatic Algorithm Configuration. GECCO Companion Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci
2025	J	`jnl`	Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem. Int. Trans. Oper. Res. Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
2024	—	`conf`	Investigation of the Benefit of Extracting Patterns from Local Optima to Solve a Bi-objective VRPTW. MIC (1) Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
2024	—	`conf`	Solution-Based Knowledge Discovery for Multi-objective Optimization. PPSN (4) Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
2023	C	`conf`	Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. EMO Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
2023	—	`conf`	Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction. GECCO Companion Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci
2023	J	`jnl`	Stochastic local search and parameters recommendation: a case study on flowshop problems. Int. Trans. Oper. Res. Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci, Alex Alves Freitas
2023	B	`conf`	When Simpler is Better: Automated Configuration of a University Timetabling Solver. CEC Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci
2022	—	`conf`	A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration. BRACIS (1) Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
2022	—	`conf`	Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem. PPSN (1) Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen
2022	—	`conf`	Enhancing MOEA/D with learning: application to routing problems with time windows. GECCO Companion Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
2022	—	`conf`	Exploiting landscape features for fitness prediction in university timetabling. GECCO Companion Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci
2022	—	`conf`	New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows. MIC Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
2022	J	`jnl`	Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends. Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2021	B	`conf`	AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem. ICTAI Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci
2021	C	`conf`	Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm. HIS Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan
2021	—	`conf`	Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems. BRACIS (1) Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado
2021	B	`conf`	Flowshop NEH-Based Heuristic Recommendation. EvoCOP Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado
2021	—	`conf`	Investigating the landscape of a hybrid local search approach for a timetabling problem. GECCO Companion Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen
2021	B	`conf`	Local Optima Network Sampling for Permutation Flowshop. CEC Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam R. B. S. Delgado
2020	—	`conf`	Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. PPSN (1) Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
2020	—	`conf`	Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm. LION Sara Tari, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
2020	B	`conf`	Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. CEC Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2020	—	`conf`	Time-dependent automatic parameter configuration of a local search algorithm. GECCO Companion Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan
2019	C	`conf`	Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. EMO Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
2019	J	`jnl`	Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem. CoRR Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens
2019	—	`book`	Knowledge-based Design of Stochastic Local Search Algorithms in Combinatorial Optimization. Marie-Eléonore Kessaci
2019	A	`conf`	Meta-learning on flowshop using fitness landscape analysis. GECCO Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
2019	J	`jnl`	Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen
2019	B	`conf`	TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets. ICTAI Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci
2018	—	`conf`	Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem. LION Aymeric Blot, Marie-Eléonore Kessaci, Laetitia Jourdan, Patrick De Causmaecker
2018	B	`conf`	Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. ICTAI Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan
2018	B	`conf`	Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees. CEC Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci
2018	—	`conf`	New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop. PPSN (1) Aymeric Blot, Manuel López-Ibáñez, Marie-Eléonore Kessaci, Laetitia Jourdan
2018	—	`conf`	Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design. BRACIS Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado
2017	—	`conf`	A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem. LION Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens