Marie-Eléonore Kessaci

According to our database, Marie-Eléonore Kessaci authored at least 56 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem.

Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci

Int. Trans. Oper. Res., January, 2025

2024

Solution-Based Knowledge Discovery for Multi-objective Optimization.

Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Investigation of the Benefit of Extracting Patterns from Local Optima to Solve a Bi-objective VRPTW.

Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci

Proceedings of the Metaheuristics - 15th International Conference, 2024

2023

Stochastic local search and parameters recommendation: a case study on flowshop problems.

Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci, Alex Alves Freitas

Int. Trans. Oper. Res., 2023

Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction.

Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem.

Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

When Simpler is Better: Automated Configuration of a University Timetabling Solver.

Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends.

Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen

Int. Trans. Oper. Res., 2022

Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem.

Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Enhancing MOEA/D with learning: application to routing problems with time windows.

Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Exploiting landscape features for fitness prediction in university timetabling.

Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A Novel Multi-objective Decomposition Formulation for Per-Instance Configuration.

Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows.

Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci

Proceedings of the Metaheuristics - 14th International Conference, 2022

2021

AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem.

Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm.

Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan

Proceedings of the Hybrid Intelligent Systems, 2021

Investigating the landscape of a hybrid local search approach for a timetabling problem.

Thomas Feutrier, Marie-Eléonore Kessaci, Nadarajen Veerapen

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Flowshop NEH-Based Heuristic Recommendation.

Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

Local Optima Network Sampling for Permutation Flowshop.

Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam R. B. S. Delgado

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems.

Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020

Special issue on "Stochastic Local Search: Recent developments and trends".

Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen

Int. Trans. Oper. Res., 2020

Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification.

Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm.

Sara Tari, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan

Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

Time-dependent automatic parameter configuration of a local search algorithm.

Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data.

Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems.

Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan, Holger H. Hoos

Evol. Comput., 2019

Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem.

Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens

CoRR, 2019

TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets.

Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Meta-learning on flowshop using fitness landscape analysis.

Lucas Marcondes Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling.

Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Knowledge-based Design of Stochastic Local Search Algorithms in Combinatorial Optimization.

Marie-Eléonore Kessaci

, 2019

2018

Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation.

Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan

J. Heuristics, 2018

New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop.

Aymeric Blot, Manuel López-Ibáñez, Marie-Eléonore Kessaci, Laetitia Jourdan

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem.

Aymeric Blot, Marie-Eléonore Kessaci, Laetitia Jourdan, Patrick De Causmaecker

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives.

Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Meta-Learning for Optimization: A Case Study on the Flowshop Problem Using Decision Trees.

Lucas M. Pavelski, Myriam Regattieri Delgado, Marie-Eléonore Kessaci

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Recommending Meta-Heuristics and Configurations for the Flowshop Problem via Meta-Learning: Analysis and Design.

Lucas Marcondes Pavelski, Marie-Eléonore Kessaci, Myriam Regattieri Delgado

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem.

Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens

Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problem.

Aymeric Blot, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems.

Marie-Éléonore Kessaci-Marmion, Clarisse Dhaenens, Jérémie Humeau

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation.

Aymeric Blot, Alexis Pernet, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Holger H. Hoos

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search.

Lucien Mousin, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Clarisse Dhaenens

Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework.

Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann

Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

Multi-objective Neutral Neighbors': What could be the definition(s)?

Marie-Eléonore Marmion, Hernán E. Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Kiyoshi Tanaka

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

Fitness Landscape of the Factoradic Representation on the Permutation Flowshop Scheduling Problem.

Marie-Eléonore Marmion, Olivier Regnier-Coudert

Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms.

Aymeric Blot, Hernán E. Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion, Kiyoshi Tanaka

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014

Algorithm Comparison by Automatically Configurable Stochastic Local Search Frameworks: A Case Study Using Flow-Shop Scheduling Problems.

Franco Mascia, Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Marie-Eléonore Marmion, Thomas Stützle

Proceedings of the Hybrid Metaheuristics - 9th International Workshop, HM 2014, 2014

A template for designing single-solution hybrid metaheuristics.

Manuel López-Ibáñez, Franco Mascia, Marie-Eléonore Marmion, Thomas Stützle

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Fitness Landscape Analysis and Metaheuristics Efficiency.

Marie-Eléonore Marmion, Laetitia Jourdan, Clarisse Dhaenens

J. Math. Model. Algorithms, 2013

Local search and combinatorial optimization: from structural analysis of a problem to efficient algorithms design.

Marie-Eléonore Marmion

4OR, 2013

Neutrality in the Graph Coloring Problem.

Marie-Eléonore Marmion, Aymeric Blot, Laetitia Jourdan, Clarisse Dhaenens

Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Automatic Design of Hybrid Stochastic Local Search Algorithms.

Marie-Eléonore Marmion, Franco Mascia, Manuel López-Ibáñez, Thomas Stützle

Proceedings of the Hybrid Metaheuristics - 8th International Workshop, 2013

2011

Recherche locale et optimisation combinatoire : de l'analyse structurelle d'un problème à la conception d'algorithmes efficaces. (Local search and combinatorial optimization: from structural analysis of a problem to design efficient algorithms).

Marie-Eléonore Marmion

PhD thesis, 2011

On the Neutrality of Flowshop Scheduling Fitness Landscapes.

Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

The road to VEGAS: guiding the search over neutral networks.

Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling.

Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

2010

Comparison of neighborhoods for the HFF-AVRP.

Marie-Eléonore Marmion, Jérémie Humeau, Laetitia Jourdan, Clarisse Dhaenens

Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010