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inria-00179186v1  Conference papers
Damien TessierMarc SchoenauerChristophe BiernackiGilles CeleuxGérard Govaert. Parameter Setting for Evolutionary Latent Class Clustering
Second International Symposium, ISICA 2007, Sep 2007, Wuhan, China. pp.472-484
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hal-01249377v1  Reports
Riad AkrourBasile MayeurMichèle Sebag. Direct Value Learning: Reinforcement Learning and Anti-Imitation
[Research Report] RR-8836, INRIA; CNRS; Université Paris-Sud 11. 2015, pp.18
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tel-00120310v1  Theses
Vijay Singh. SEISMIC VELOCITY INVERSION USING MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS
Modeling and Simulation. École Nationale Supérieure des Mines de Paris, 2006. English
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tel-00118883v1  Theses
Carlos Kavka. EVOLUTIONARY DESIGN OF GEOMETRIC-BASED FUZZY SYSTEMS
Other [cs.OH]. Université Paris Sud - Paris XI, 2006. English
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hal-00820617v1  Conference papers
Mostepha Redouane KhouadjiaMarc SchoenauerVincent VidalJohann DréoPierre Savéant. Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
LION7 - Learning and Intelligent OptimizatioN Conference, Jan 2013, Catania, Italy. pp.341-356
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hal-00750560v1  Conference papers
Mostepha Redouane KhouadjiaMarc SchoenauerVincent VidalJohann DréoPierre Savéant. Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
EMO'13 - 7th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2013, Sheffield, United Kingdom. pp.36-50
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hal-00820634v1  Conference papers
Mostepha Redouane KhouadjiaMarc SchoenauerVincent VidalJohann DréoPierre Savéant. Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
EvoCOP -- 13th European Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2013, Vienna, Austria. pp.202-213, ⟨10.1007/978-3-642-37198-1_18⟩
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inria-00456167v2  Conference papers
Jacques BibaiPierre SavéantMarc SchoenauerVidal Vincent. An Evolutionary Metaheuristic for Domain-Independent Satisficing Planning
20th International Conference on Automated Planning and Scheduling-ICAPS2010, May 2010, Toronto, Canada. pp.15-25
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hal-00835003v2  Conference papers
Mostepha Redouane KhouadjiaMarc SchoenauerVincent VidalJohann DréoPierre Savéant. Pareto-Based Multiobjective AI Planning
IJCAI 2013, IJCAI/AAAI, Aug 2013, Beijing, China. pp.2321-2327
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tel-00544407v1  Theses
Jacques Bibai. Segmentation et évolution pour la planification : le système Divide-And-Evolve
Software Engineering [cs.SE]. Université Paris Sud - Paris XI, 2010. English
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hal-00736968v1  Conference papers
Thomas RunarssonMarc SchoenauerMichèle Sebag. Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling
Learning and Intelligent OptimizatioN (LION'6), Jan 2012, Paris, France. pp.408-423
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inria-00201074v1  Conference papers
Pierre ColletMarc Schoenauer. GUIDE: Unifying Evolutionary Engines through a Graphical User Interface
Evolution Artificielle, Oct 2003, Marseille, France. pp.203-215
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inria-00176967v1  Book sections
Marc SchoenauerPierre SavéantVincent Vidal. Divide-and-Evolve: a Sequential Hybridization Strategy using Evolutionary Algorithms
Z. Michalewicz and P. Siarry. Advances in Metaheuristics for Hard Optimization, Springer Verlag, pp.179-198, 2007, Natural Computing Series, 978-3-540-72959-4
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inria-00175721v1  Conference papers
Fei JiangHugues BerryMarc Schoenauer. Optimising the topology of complex neural networks
ECCS'07, Complex Systesms Society, Oct 2007, Dresden, Germany
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hal-00722744v1  Conference papers
Riad AkrourMarc SchoenauerMichèle Sebag. APRIL: Active Preference-learning based Reinforcement Learning
ECML PKDD 2012, Sep 2012, Bristol, United Kingdom. pp.116-131
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inria-00144010v1  Conference papers
Christian GagnéMichèle SebagMarc SchoenauerMarco Tomassini. Ensemble Learning for Free with Evolutionary Algorithms ?
GECCO, ACM SIGEVO, Jul 2007, London, United Kingdom. pp.1782-1789
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inria-00145172v1  Conference papers
Nicolas GodzikMarc SchoenauerMichèle Sebag. Robustness in the long run: Auto-teaching vs Anticipation in Evolutionary Robotics
Parallel Problem Solving from Nature, Sep 2004, Birmingham, pp.932-941
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inria-00145206v1  Conference papers
Nicolas GodzikMarc SchoenauerMichèle Sebag. Evolving Symbolic Controllers
4th European Workshop on Evolutionary Robotics, Apr 2003, Essex, United Kingdom. pp.638-650
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inria-00116345v1  Conference papers
Yann SemetMarc Schoenauer. On the Benefits of Inoculation, an Example in Train Scheduling
GECCO-2006, Jul 2006, Seattle, United States. pp.1761-1768
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inria-00121779v1  Conference papers
Marc SchoenauerPierre SavéantVincent Vidal. Divide-and-Evolve : une nouvelle méta-heuristique pour la planification temporelle indépendante du domaine
Journées Francophones Planification, Décision, Apprentissage, GDR I3 groupe PDMIA, May 2006, Toulouse
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hal-01084312v1  Conference papers
François-Michel de RainvilleMichèle SebagChristian GagnéMarc SchoenauerDenis Laurendeau. Sustainable Cooperative Coevolution with a Multi-Armed Bandit
Proc. 15th Genetic and Evolutionary Computation COnference - ACM-GECCO, ACM SIGEVO, Jul 2013, Amsterdam, Netherlands. pp.1517-1524
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hal-02987505v1  Conference papers
Anne AugerMarc SchoenauerNicolas Vanhaecke. LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
PPSN VIII - 8th International Conference on Parallel Problem Solving from Nature, Sep 2004, Birmingham, United Kingdom. pp.182-191
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inria-00120733v1  Book sections
Rodolphe Le RicheMarc SchoenauerMichèle Sebag. Un état des lieux de l'optimisation évolutionnaire et de ses implications en sciences pour l'ingénieur
P. Breitkopf and C. Knopf-Lenoir. Modélisation numérique. 2, Défis et perspectives.Traité MIM, série Méthodes numériques et éléments finis, Hermès, pp.187-259, 2007, 978-2-7462-1616-7