Sébastien Verel
Publications of Sébastien Verel
84%
Open access
32
Documents
Current affiliations
- 157346
Researcher identifiers
sebastien-verel
- IdRef : 11806259X
-
0000-0003-1661-4093
- VIAF : 216274280
Research domains
Artificial Intelligence [cs.AI]
Publications
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Understanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution ApproximationsAdvances in Operations Research, 2021, 2021, pp.1-16. ⟨10.1155/2021/6699277⟩
Journal articles
hal-03505604v1
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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⟩
Journal articles
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⟩
Journal articles
hal-01002520v1
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Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysisGenetic and Evolutionary Computation Conference (GECCO 2022), Jul 2022, Boston, MA, United States
Conference papers
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⟩
Conference papers
hal-02898952v1
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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, 2020, Seville, Spain. pp.99-113, ⟨10.1007/978-3-030-43680-3_7⟩
Conference papers
hal-02920043v1
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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, 2020, Leiden, Netherlands. pp.33-47, ⟨10.1007/978-3-030-58112-1_3⟩
Conference papers
hal-02920085v1
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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, 2020, Leiden, Netherlands. pp.97-110, ⟨10.1007/978-3-030-58115-2_7⟩
Conference papers
hal-02949069v1
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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⟩
Conference papers
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⟩
Conference papers
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
Conference papers
hal-02282986v1
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Dynamic compartmental models for algorithm analysis and population size estimationGECCO '19: Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.2044-2047, ⟨10.1145/3319619.3326912⟩
Conference papers
hal-02436226v1
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On Pareto local optimal solutions networksInternational Conference on Parallel Problem Solving from Nature (PPSN 2018), Sep 2018, Coimbra, Portugal. pp.232-244, ⟨10.1007/978-3-319-99259-4_19⟩
Conference papers
hal-01823721v1
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A surrogate model based on Walsh decomposition for pseudo-boolean functionsInternational Conference on Parallel Problem Solving from Nature (PPSN 2018), Sep 2018, Coimbra, Portugal. pp.181-193, ⟨10.1007/978-3-319-99259-4_15⟩
Conference papers
hal-01823725v1
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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⟩
Conference papers
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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
Conference papers
hal-01581257v1
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Analysis of a batch strategy for a Master-Worker adaptive selection algorithm framework9th International Joint Conference on Computational Intelligence (IJCCI 2017), Nov 2017, Madère, Portugal. pp.313-320, ⟨10.5220/0006504203130320⟩
Conference papers
hal-01643337v1
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Closed state model for understanding the dynamics of MOEAsGenetic and Evolutionary Computation Conference (GECCO 2017), Jul 2017, Berlin, Germany
Conference papers
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⟩
Conference papers
hal-01496357v1
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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
Conference papers
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
Conference papers
hal-01581247v1
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On the Design of a Master-Worker Adaptive Algorithm Selection FrameworkEA 2017 - 13th International Conference on Artificial Evolution, Oct 2017, Paris, France. pp.1-15, ⟨10.1007/978-3-319-78133-4_1⟩
Conference papers
hal-01643354v1
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A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods14th International Conference on Parallel Problem Solving from Nature (PPSN2016), Sep 2016, Edinburgh, United Kingdom. pp.80-90, ⟨10.1007/978-3-319-45823-6_8⟩
Conference papers
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Learning variable importance to guide recombinationIEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (IEEE MCDM 2016), 2016, Athens, Greece
Conference papers
hal-01380646v1
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Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies13th International Conference on Artificial Evolution (EA 2015), Oct 2015, Lyon, France. pp.83-96
Conference papers
hal-01178608v1
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An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization FunctionsThe Tenth International Conference on Simulated Evolution And Learning (SEAL 2014), Dec 2014, Dunedin, New Zealand. pp.1 - 12
Conference papers
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On the Impact of Multiobjective Scalarizing FunctionsParallel Problem Solving from Nature - PPSN XIII, Sep 2014, Ljubljana, Slovenia. pp.548-557
Conference papers
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DAMS: Distributed Adaptive Metaheuristic SelectionGenetic And Evolutionary Computation Conference, Jun 2011, Dublin, Ireland. pp.1955--1962, ⟨10.1145/2001576.2001839⟩
Conference papers
hal-00579993v1
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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
Conference poster
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
Conference poster
hal-01823715v1
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New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic SelectionGenetic and Evolutionary Computation Conference 2015, Jul 2015, Madrid, Spain. ACM, Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference, GECCO Companion '15, pp.1405--1406, 2015, Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ⟨10.1145/2739482.2764694⟩
Conference poster
hal-01178619v1
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On the Impact of Scalarizing Functions on Evolutionary Multiobjective Optimization[Research Report] RR-8512, 2014
Reports
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