Marie-Eléonore Kessaci
Orcid: 0000-0002-4372-5162
According to our database1,
Marie-Eléonore Kessaci
authored at least 53 papers
between 2010 and 2023.
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Bibliography
2023
Stochastic local search and parameters recommendation: a case study on flowshop problems.
Int. Trans. Oper. Res., 2023
Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction.
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.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends.
Int. Trans. Oper. Res., 2022
Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows.
Proceedings of the Metaheuristics - 14th International Conference, 2022
2021
AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the Hybrid Intelligent Systems, 2021
Investigating the landscape of a hybrid local search approach for a timetabling problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
2020
Int. Trans. Oper. Res., 2020
Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification.
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.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems.
Evol. Comput., 2019
Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem.
CoRR, 2019
TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
Knowledge-based Design of Stochastic Local Search Algorithms in Combinatorial Optimization.
, 2019
2018
Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation.
J. Heuristics, 2018
New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018
Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives.
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.
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.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017
Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017
2016
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016
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.
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015
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.
Proceedings of the Hybrid Metaheuristics - 9th International Workshop, HM 2014, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
J. Math. Model. Algorithms, 2013
Local search and combinatorial optimization: from structural analysis of a problem to efficient algorithms design.
4OR, 2013
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013
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).
PhD thesis, 2011
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011
2010
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010