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Sebastien Verel

PR

Equipe : OSMOSE

Téléphone : +33 (0)3 21 46 56 73

ORCID : 0000-0003-1661-4093

Domaine de recherche

Complex system, combinatorial optimization, evolutionary computation, fitness landscape, multiobjective optimization, metaheuristics, adaptive metaheuristics, Model/Simulation/Optimization.

Sebastien Verel

Agent-Based Modeling and Simulation for Urban Air Quality Assessment

Neda Mashhadi, Cyril Fonlupt, Matthieu Puigt, Gilles Roussel, Sébastien Verel. Agent-Based Modeling and Simulation for Urban Air Quality Assessment. 7 th International Conference on Logistics Operations Management: Smart Sustainable and Green Logistics, May 2024, Marrakech (Maroc), Morocco. ⟨hal-04447553⟩

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Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing Problem

Valentin Vendi, Sébastien Verel, Cyril Fonlupt. Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing Problem. Evolutionary Computation in Combinatorial Optimization Conference (evoCOP), Apr 2024, Aberystwyth, Wales, United Kingdom. ⟨hal-04502943⟩

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Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances

Sébastien Verel, Sarah Thomson, Omar Rifki. Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances. Evolutionary Computation in Combinatorial Optimization Conference (evoCOP), Apr 2024, Aberystwyth, United Kingdom. ⟨hal-04489201⟩

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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. pp.75-85. ⟨hal-04202210v2⟩

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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), Jul 2023, Lisbonne, Portugal. pp.247-250, ⟨10.1145/3583133.3590649⟩. ⟨hal-04075074⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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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⟩

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Sujets de thèse 2024

Nous avons plusieurs sujets de thèses à pourvoir en 2024. Merci de contacter les personnes pour plus renseignements. Les candidatures s’effectuent uniquement par Adum (dans

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