MOEA/D with Adaptive Mutation Operator Based on Walsh Decomposition : Application to Nuclear Reactor Control Optimization
Baptiste Gasse, Sébastien Verel, Jean-Michel Do. MOEA/D with Adaptive Mutation Operator Based on Walsh Decomposition : Application to Nuclear Reactor Control Optimization. 15th International Conference on Evolutionary Computation Theory and Applications, Nov 2023, Rome, Italy. ⟨hal-04202210⟩
Voir la fiche HAL
On the Global Structure of PUBOi Fitness Landscapes
Sara Tari, Gabriela Ochoa, Matthieu Basseur, Sébastien Verel. On the Global Structure of PUBOi Fitness Landscapes. The Genetic and Evolutionary Computation Conference (GECCO), ACM, Jul 2023, Lisbonne, Portugal. ⟨10.1145/3583133.3590649⟩. ⟨hal-04075074⟩
Voir la fiche HAL
Pareto local optimal solutions networks with compression, enhanced visualization and expressiveness
Arnaud Liefooghe, Gabriela Ochoa, Sébastien Verel, Bilel Derbel. Pareto local optimal solutions networks with compression, enhanced visualization and expressiveness. GECCO 2023 - Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.713-721, ⟨10.1145/3583131.3590474⟩. ⟨hal-04169768⟩
Voir la fiche HAL
Fourier Transform-based Surrogates for Permutation Problems
Francisco Chicano, Bilel Derbel, Sébastien Verel. Fourier Transform-based Surrogates for Permutation Problems. GECCO '23: Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.275-283, ⟨10.1145/3583131.3590425⟩. ⟨hal-04202402⟩
Voir la fiche HAL
Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective
Arnaud Liefooghe, Sébastien Verel, Tinkle Chugh, Jonathan Fieldsend, Richard Allmendinger, et al.. Feature-based benchmarking of distance-based multi/many-objective optimisation problems: A machine learning perspective. EMO 2023 - 12th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2023, Leiden, Netherlands. pp.260-273, ⟨10.1007/978-3-031-27250-9_19⟩. ⟨hal-04021499⟩
Voir la fiche HAL
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions
Bilel Derbel, Geoffrey Pruvost, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang. Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. Applied Soft Computing, 2023, 136, pp.110061. ⟨10.1016/j.asoc.2023.110061⟩. ⟨hal-04073811⟩
Voir la fiche HAL
Models to classify the difficulty of genetic algorithms to solve continuous optimization problems
Noel Rodríguez-Maya, Juan Flores, Sébastien Verel, Mario Graff. Models to classify the difficulty of genetic algorithms to solve continuous optimization problems. Natural Computing, 2023, ⟨10.1007/s11047-022-09936-9⟩. ⟨hal-04202542⟩
Voir la fiche HAL
Fractal Dimension and Perturbation Strength: A Local Optima Networks View
Sarah Thomson, Gabriela Ochoa, Sébastien Verel. Fractal Dimension and Perturbation Strength: A Local Optima Networks View. 17th International Conference on Parallel Problem Solving from Nature (PPSN XVII), Sep 2022, Dortmund, Germany. pp.562-574, ⟨10.1007/978-3-031-14714-2_39⟩. ⟨hal-03824159⟩
Voir la fiche HAL
Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis
Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, et al.. Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. GECCO 2022 - Genetic and Evolutionary Computation Conference, Jul 2022, Boston, MA, United States. pp.493-501, ⟨10.1145/3512290.3528731⟩. ⟨hal-03693659⟩
Voir la fiche HAL
The fractal geometry of fitness landscapes at the local optima level
Sarah Thomson, Gabriela Ochoa, Sébastien Verel. The fractal geometry of fitness landscapes at the local optima level. Natural Computing, 2022, 21 (2), pp.317-333. ⟨10.1007/s11047-020-09834-y⟩. ⟨hal-03098496⟩
Voir la fiche HAL
Coupling of the secondary loop and the cooling circuit in a PWR involved in load follow operations
Baptiste Gasse, Jean-Michel Do, Hubert Grard, Cheikh Diop, Sébastien Verel. Coupling of the secondary loop and the cooling circuit in a PWR involved in load follow operations. PHYSOR 2022 - International Conference on Physics of Reactors 2022, May 2022, Pittsburgh (Etats-Unis), United States. pp.3304-3313. ⟨hal-03901398v2⟩
Voir la fiche HAL
PUBOi: A Tunable Benchmark with Variable Importance
Sara Tari, Sébastien Verel, Mahmoud Omidvar. PUBOi: A Tunable Benchmark with Variable Importance. European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Apr 2022, Madrid, Spain. pp.175-190, ⟨10.1007/978-3-031-04148-8_12⟩. ⟨hal-03677551⟩
Voir la fiche HAL
Understanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations
Hugo Monzón Maldonado, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, et al.. Understanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations. Advances in Operations Research, 2021, 2021, pp.6699277. ⟨10.1155/2021/6699277⟩. ⟨hal-03505604⟩
Voir la fiche HAL
Composition of weighted finite transducers in MapReduce
Bilal Elghadyry, Faissal Ouardi, Sébastien Verel. Composition of weighted finite transducers in MapReduce. Journal of Big Data, 2021, 8 (1), pp.22. ⟨10.1186/s40537-020-00397-4⟩. ⟨hal-03515727⟩
Voir la fiche HAL
Efficient parallel derivation of short distinguishing sequences for nondeterministic finite state machines using MapReduce
Bilal Elghadyry, Faissal Ouardi, Zineb Lotfi, Sébastien Verel. Efficient parallel derivation of short distinguishing sequences for nondeterministic finite state machines using MapReduce. International Journal of Big Data Intelligence, 2021, 8 (145), pp.1-27. ⟨10.1186/s40537-021-00535-6⟩. ⟨hal-03507111⟩
Voir la fiche HAL
Efficient parallel derivation of short distinguishing sequences for nondeterministic finite state machines using MapReduce
Bilal Elghadyry, Faissal Ouardi, Zineb Lotfi, Sébastien Verel. Efficient parallel derivation of short distinguishing sequences for nondeterministic finite state machines using MapReduce. Journal of Big Data, 2021, 8, pp.145. ⟨10.1186/s40537-021-00535-6⟩. ⟨hal-03515722⟩
Voir la fiche HAL
A Modular Surrogate-assisted Framework for Expensive Multiobjective Combinatorial Optimization
Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang. A Modular Surrogate-assisted Framework for Expensive Multiobjective Combinatorial Optimization. 2021. ⟨hal-03380316⟩
Voir la fiche HAL
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics
Johann Dreo, Arnaud Liefooghe, Sébastien Verel, Marc Schoenauer, Juan J. Merelo, et al.. Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics: 22 Years of Paradiseo. GECCO 2021 - Genetic and Evolutionary Computation Conference, ACM Sigevo, Jul 2021, Lille / Virtual, France. pp.1522-1530, ⟨10.1145/3449726.3463276⟩. ⟨pasteur-03220556⟩
Voir la fiche HAL
Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems
Arnaud Liefooghe, Sébastien Verel, Benjamin Lacroix, Alexandru-Ciprian Zăvoianu, John Mccall. Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems. GECCO 2021 - The Genetic and Evolutionary Computation Conference, Jul 2021, Lille / Virtual, France. pp.421-429, ⟨10.1145/3449639.3459353⟩. ⟨hal-03325676⟩
Voir la fiche HAL
Alliance humAIn en Hauts-de-France
Clarisse Dhaenens, Sébastien Konieczny, Stéphane Lecoeuche, Christophe Lecoutre, René Mandiau, et al.. Alliance humAIn en Hauts-de-France. Bulletin de l'Association Française pour l'Intelligence Artificielle, 2021, 113, pp.60-65. ⟨hal-03533774⟩
Voir la fiche HAL
Fonctions de Walsh pour le benchmarking des métaheuristiques
Mahmoud Omidvar, Sara Tari, Sébastien Verel. Fonctions de Walsh pour le benchmarking des métaheuristiques. 22ème Conférence ROADEF de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Apr 2021, Mulhouse (virtuel), France. ⟨hal-03384311⟩
Voir la fiche HAL
Composition of weighted finite transducers in MapReduce
Bilal Elghadyry, Faissal Ouardi, Sébastien Verel. Composition of weighted finite transducers in MapReduce. International Journal of Big Data Intelligence, 2021, 8 (22), ⟨10.1186/s40537-020-00397-4⟩. ⟨hal-03507182⟩
Voir la fiche HAL
Iterated local search with partition crossover for computational protein design
François Beuvin, Simon De Givry, Thomas Schiex, Sébastien Verel, David Simoncini. Iterated local search with partition crossover for computational protein design. Proteins - Structure, Function and Bioinformatics, 2021, 89 (11), pp.1522-1529. ⟨10.1002/prot.26174⟩. ⟨hal-03298736⟩
Voir la fiche HAL
Short term soil moisture forecasts for potato crop farming: a machine learning approach
Amaury Dubois, Fabien Teytaud, Sébastien Verel. Short term soil moisture forecasts for potato crop farming: a machine learning approach. Computers and Electronics in Agriculture, In press, 180, ⟨10.1016/j.compag.2020.105902⟩. ⟨hal-03081945⟩
Voir la fiche HAL
Inferring Future Landscapes: Sampling the Local Optima Level
Sarah L Thomson, Gabriela Ochoa, Sébastien Verel, Nadarajen Veerapen. Inferring Future Landscapes: Sampling the Local Optima Level. Evolutionary Computation, 2020, 28 (4), pp.621-641. ⟨10.1162/evco_a_00271⟩. ⟨hal-03035340⟩
Voir la fiche HAL
Landscape-aware performance prediction for evolutionary multi-objective optimization
Arnaud Liefooghe, Fabio Daolio, Sébastien Verel, Bilel Derbel, Hernan Aguirre, et al.. Landscape-aware performance prediction for evolutionary multi-objective optimization. IEEE Transactions on Evolutionary Computation, 2020, 24 (6), pp.1063-1077. ⟨10.1109/TEVC.2019.2940828⟩. ⟨hal-02294201⟩
Voir la fiche HAL
Les conséquences de la réforme aéroportuaire pour les territoires : apports d’une simulation informatique multi-agents
Christopher Jankee, Michel Carrard, Sébastien Verel, Eric Ramat. Les conséquences de la réforme aéroportuaire pour les territoires : apports d’une simulation informatique multi-agents. Cybergeo : Revue européenne de géographie / European journal of geography, 2020, pp.957. ⟨hal-02965863⟩
Voir la fiche HAL
Dominance, indicator and decomposition based search for multi-objective QAP: landscape analysis and automated algorithm selection
Arnaud Liefooghe, Sébastien Verel, Bilel Derbel, Hernan Aguirre, Kiyoshi Tanaka. Dominance, indicator and decomposition based search for multi-objective QAP: landscape analysis and automated algorithm selection. PPSN 2020 - Sixteenth International Conference on Parallel Problem Solving from Nature, Sep 2020, Leiden, Netherlands. pp.33-47, ⟨10.1007/978-3-030-58112-1_3⟩. ⟨hal-02920085⟩
Voir la fiche HAL
On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators
Brahim Aboutaib, Sébastien Verel, Cyril Fonlupt, Bilel Derbel, Arnaud Liefooghe, et al.. On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators. PPSN 2020 - The 16th International Conference on Parallel Problem Solving from Nature, Sep 2020, Leiden, Netherlands. pp.97-110, ⟨10.1007/978-3-030-58115-2_7⟩. ⟨hal-02949069⟩
Voir la fiche HAL
BCMA-ES: A Bayesian approach to CMA-ES
Eric Benhamou, David Saltiel, Sébastien Verel, Fabien Teytaud. BCMA-ES: A Bayesian approach to CMA-ES. GECCO 2020 - The Genetic and Evolutionary Computation Conference, Jul 2020, ONLINE, Mexico. ⟨hal-02886512⟩
Voir la fiche HAL
