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24 Results
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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
hal-01823671v1
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What makes an instance difficult for black-box 0-1 evolutionary multiobjective optimizers?11th International Conference on Artificial Evolution (EA 2013), Oct 2013, Bordeaux, France. pp.3-15, ⟨10.1007/978-3-319-11683-9⟩
Conference papers
hal-00855252v1
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Injecting CMA-ES into MOEA/DGenetic and Evolutionary Computation Conference (GECCO 2015), Jul 2015, Madrid, Spain. ⟨10.1145/2739480.2754754⟩
Conference papers
hal-01146738v1
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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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Surrogate-assisted multiobjective optimization based on decompositionGECCO '19 - Proceedings of the Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. pp.507-515, ⟨10.1145/3321707.3321836⟩
Conference papers
hal-02292851v1
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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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Studying MOEAs Dynamics and their Performance using a Three Compartmental ModelGECCO 2018 - Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan
Poster communications
hal-01823709v1
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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⟩
Conference papers
hal-01823725v1
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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⟩
Conference papers
hal-02920043v1
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Geometric Differential Evolution in MOEA/D: A Preliminary StudyThe 14th LNCS-LNAI International Conference on Artificial Intelligence (MICAI), Oct 2015, Cuernavaca, Mexico. pp.364-376, ⟨10.1007/978-3-319-27060-9_30⟩
Conference papers
hal-01249127v1
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A study on population size and selection lapse in many-objective optimizationIEEE Congress on Evolutionary Computation (CEC 2013), Jun 2013, Cancún, Mexico. pp.1507-1514, ⟨10.1109/CEC.2013.6557741⟩
Conference papers
hal-00825310v1
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Problem Features vs. Algorithm Performance on Rugged Multi-objective Combinatorial Fitness LandscapesEvolutionary Computation, 2017, 25 (4), pp.555-585. ⟨10.1162/EVCO_a_00193⟩
Journal articles
hal-01380612v1
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Multi-objective Local Search Based on DecompositionInternational Conference on Parallel Problem Solving from Nature (PPSN 2016), 2016, Edinburgh, United Kingdom. pp.431 - 441, ⟨10.1007/978-3-319-45823-6_40⟩
Conference papers
hal-01380632v1
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A feature-based performance analysis in evolutionary multiobjective optimization8th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2015), 2015, Guimarães, Portugal. pp.95-109
Conference papers
hal-01093266v1
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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⟩
Conference papers
hal-02920085v1
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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⟩
Conference papers
hal-01823721v1
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Learning variable importance to guide recombinationIEEE Symposium on Computational Intelligence, Dec 2016, Athens, Greece
Conference papers
hal-01380646v1
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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⟩
Conference papers
hal-03693659v1
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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⟩
Conference papers
hal-02436226v1
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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 communications
hal-01823715v1
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Effects of population size on selection and scalability in evolutionary many-objective optimizationLearning and Intelligent OptimizatioN Conference (LION 7), Jan 2013, Catania, Italy. pp.450-454, ⟨10.1007/978-3-642-44973-4_48⟩
Conference papers
istex
hal-00805164v1
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Global vs local search on multi-objective NK-landscapes: contrasting the impact of problem featuresGenetic and Evolutionary Computation Conference (GECCO 2015), 2015, Madrid, Spain. pp.369-376, ⟨10.1145/2739480.2754745⟩
Conference papers
hal-01151882v1
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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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