Sébastien Verel
Professor of computer science
100%
Libre accès
26
Documents
Affiliations actuelles
- 157346
Identifiants chercheurs
- sebastien-verel
- IdRef : 11806259X
- 0000-0003-1661-4093
- VIAF : 216274280
Domaines de recherche
Intelligence artificielle [cs.AI]
Publications
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- 26
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Landscape-aware performance prediction for evolutionary multi-objective optimizationIEEE Transactions on Evolutionary Computation, 2020, 24 (6), pp.1063-1077. ⟨10.1109/TEVC.2019.2940828⟩
Article dans une revue
hal-02294201v1
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Distributed Localized Bi-objective SearchEuropean Journal of Operational Research, 2014, 239 (3), pp.731-743. ⟨10.1016/j.ejor.2014.05.040⟩
Article dans une revue
hal-01002520v1
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Pareto local optimal solutions networks with compression, enhanced visualization and expressivenessGECCO 2023 - Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon, Portugal. pp.713-721, ⟨10.1145/3583131.3590474⟩
Communication dans un congrès
hal-04169768v1
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Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysisGECCO 2022 - Genetic and Evolutionary Computation Conference, Jul 2022, Boston, MA, United States. pp.493-501, ⟨10.1145/3512290.3528731⟩
Communication dans un congrès
hal-03693659v1
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Surrogate-assisted Multi-objective Combinatorial Optimization based on Decomposition and Walsh BasisGECCO '20 - Genetic and Evolutionary Computation Conference, Jul 2020, Cancun, Mexico. ⟨10.1145/3377930.3390149⟩
Communication dans un congrès
hal-02898952v1
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On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search OperatorsPPSN 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⟩
Communication dans un congrès
hal-02949069v1
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Dominance, indicator and decomposition based search for multi-objective QAP: landscape analysis and automated algorithm selectionPPSN 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⟩
Communication dans un congrès
hal-02920085v1
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Dynamic compartmental models for large multi-objective landscapes and performance estimationEvoCOP 2020 - 20th European Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2020, Seville, Spain. pp.99-113, ⟨10.1007/978-3-030-43680-3_7⟩
Communication dans un congrès
hal-02920043v1
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Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective ProblemsEMO 2019 - International Conference on Evolutionary Multi-Criterion Optimization, Mar 2019, East Lansing, Michigan, United States. pp.386-398, ⟨10.1007/978-3-030-12598-1_31⟩
Communication dans un congrès
hal-02064548v1
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Estimating Relevance of Variables for Effective RecombinationEMO 2019 - International Conference on Evolutionary Multi-Criterion Optimization, Mar 2019, East Lansing, Michigan, United States. pp.411-423, ⟨10.1007/978-3-030-12598-1_33⟩
Communication dans un congrès
hal-02064547v1
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New Features for Continuous Exploratory Landscape Analysis based on the SOO TreeFOGA 2019 - 15th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms, Aug 2019, Potsdam, Germany. pp.72-86
Communication dans un congrès
hal-02282986v1
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Dynamic compartmental models for algorithm analysis and population size estimationGECCO 2019 - Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.2044-2047, ⟨10.1145/3319619.3326912⟩
Communication dans un congrès
hal-02436226v1
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On Pareto local optimal solutions networksPPSN 2018 - International Conference on Parallel Problem Solving from Nature, Sep 2018, Coimbra, Portugal. pp.232-244, ⟨10.1007/978-3-319-99259-4_19⟩
Communication dans un congrès
hal-01823721v1
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A set-oriented MOEA/DGECCO 2018 - Genetic and Evolutionary Computation Conference, Jul 2018, Kyoto, Japan. pp.617-624, ⟨10.1145/3205455.3205575⟩
Communication dans un congrès
hal-01823671v1
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A surrogate model based on Walsh decomposition for pseudo-boolean functionsPPSN 2018 - International Conference on Parallel Problem Solving from Nature, Sep 2018, Coimbra, Portugal. pp.181-193, ⟨10.1007/978-3-319-99259-4_15⟩
Communication dans un congrès
hal-01823725v1
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Using Parallel Strategies to Speed Up Pareto Local Search11th International Conference on Simulated Evolution and Learning (SEAL 2017), Nov 2017, Shenzhen, China
Communication dans un congrès
hal-01581257v1
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Towards landscape-aware automatic algorithm configuration: preliminary experiments on neutral and rugged landscapesEvoCOP 2017 - Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2017, Amsterdam, Netherlands. pp.215-232
Communication dans un congrès
hal-01496347v1
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Learning variable importance to guide recombination on many-objective optimization5th International Conference on Smart Computing and Artificial Intelligence (SCAI 2017), Jul 2017, Hamamatsu, Japan
Communication dans un congrès
hal-01581247v1
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Closed state model for understanding the dynamics of MOEAsGenetic and Evolutionary Computation Conference (GECCO 2017), Jul 2017, Berlin, Germany
Communication dans un congrès
hal-01496329v1
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A fitness landscape analysis of Pareto local search on bi-objective permutation flowshop scheduling problems9th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2017), Mar 2017, Münster, Germany. ⟨10.1007/978-3-319-54157-0_29⟩
Communication dans un congrès
hal-01496357v1
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Learning variable importance to guide recombinationIEEE Symposium on Computational Intelligence, Dec 2016, Athens, Greece
Communication dans un congrès
hal-01380646v1
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On the Impact of Multiobjective Scalarizing FunctionsParallel Problem Solving from Nature - PPSN XIII, Sep 2014, Ljubljana, Slovenia. pp.548-557
Communication dans un congrès
hal-01066139v1
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An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization FunctionsSEAL 2014 - 10th International Conference on Simulated Evolution and Learning, Dec 2014, Dunedin, New Zealand. pp.1 - 12
Communication dans un congrès
hal-01066221v1
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Studying MOEAs Dynamics and their Performance using a Three Compartmental ModelGECCO 2018 - Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Poster de conférence
hal-01823709v1
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Pareto dominance-based MOEAs on Problems with Difficult Pareto Set TopologiesGECCO 2018 - Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Poster de conférence
hal-01823715v1
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On the Impact of Scalarizing Functions on Evolutionary Multiobjective Optimization[Research Report] RR-8512, 2014
Rapport
hal-00968145v1
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