Contrasting the landscapes of feature selection under different machine learning models
Arnaud Liefooghe, Ryoji Tanabe, Sébastien Verel. Contrasting the landscapes of feature selection under different machine learning models. PPSN 2024 – Parallel Problem Solving from Nature, Sep 2024, Hagenberg, Austria. pp.360-376, ⟨10.1007/978-3-031-70055-2_22⟩. ⟨hal-04692860⟩
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Funnels in multi-objective fitness landscapes
Gabriela Ochoa, Arnaud Liefooghe, Sébastien Verel. Funnels in multi-objective fitness landscapes. PPSN 2024 – Parallel Problem Solving from Nature, Sep 2024, Hagenberg, Austria. pp.343-359, ⟨10.1007/978-3-031-70055-2_21⟩. ⟨hal-04692819⟩
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Complete combinatorial mutational enumeration of a protein functional site enables sequence‐landscape mapping and identifies highly‐mutated variants that retain activity
Mireia Solà Colom, Jelena Vučinić, Jared Adolf-Bryfogle, James Bowman, Sébastien Verel, et al.. Complete combinatorial mutational enumeration of a protein functional site enables sequence‐landscape mapping and identifies highly‐mutated variants that retain activity. Protein Science, 2024, 33 (8), pp.e5109. ⟨10.1002/pro.5109⟩. ⟨hal-04646616⟩
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Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks
Olivier Goudet, Adrien Goëffon, Frédéric Saubion, Sébastien Verel. Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks. GECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion, Jul 2024, Melbourne VIC Australia, France. pp.195-198, ⟨10.1145/3638530.3654319⟩. ⟨hal-04672486⟩
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Landscape analysis for explainable optimization
Arnaud Liefooghe, Sébastien Verel. Landscape analysis for explainable optimization. Tutorial at IEEE World Congress on Computational Intelligence (WCCI 2024), 2024. ⟨hal-04692793⟩
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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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Benchmark mobility problems using real-world data: the example of bus stops spacing problem for the city of Calais
Valentin Vendi, Cyril Fonlupt, Sébastien Verel. Benchmark mobility problems using real-world data: the example of bus stops spacing problem for the city of Calais. The 7th International Conference on Logistics Operations Management, GOL'24, May 2024, Marrakesh, Morocco. ⟨hal-04594899⟩
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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. 24th European Conference on Evolutionary Computation in Combinatorial Optimisation (evoCOP), Apr 2024, Aberystwyth, United Kingdom. pp.129-145. ⟨hal-04489201⟩
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Complete Combinatorial Mutational Enumeration of a protein functional site enables sequence-landscape mapping and identifies highly-mutated variants that retain activity
Mireia Solà Colom, Jelena Vucinic, Jared Adolf-Bryfogle, James W Bowman, Sébastien Verel, et al.. Complete Combinatorial Mutational Enumeration of a protein functional site enables sequence-landscape mapping and identifies highly-mutated variants that retain activity. 2024. ⟨hal-04432033⟩
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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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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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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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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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Conception d'outils décisionnels pour la mobilité durable dans la région hdf
Valentin Vendi, Cyril Fonlupt, Sébastien Verel. Conception d'outils décisionnels pour la mobilité durable dans la région hdf. Séminaire Intelligence Artificielle et Optimisation de l'A2U, Jun 2023, Montreuil-sur-Mer, France. ⟨hal-04163015⟩
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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, 23, pp.431-451, 2023, Part 1: Special Issue: Selected Papers from the Third Workshop on Reaction Systems 2023 / Special Issue: Selected Papers from the 26th International Conference on DNA Computing and Molecular Programming, ⟨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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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. 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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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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