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GUIDE: Unifying Evolutionary Engines through a Graphical User Interface

Pierre Collet , Marc Schoenauer
Evolution Artificielle, Oct 2003, Marseille, France. pp.203-215
Conference papers inria-00201074v1
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Donner un sens à l'intelligence artificielle

Cédric Villani , Marc Schoenauer , Yann Bonnet , Charly Berthet , Anne-Charlotte Cornut , et al.
Mission Villani sur l’intelligence artificielle, 2018, Yann Bonnet, Secrétaire général du Conseil national du numérique, 978-2-11-145708-9
Books hal-01967551v1
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Evolutionary Latent Class Clustering of Qualitative Data

Damien Tessier , Marc Schoenauer , Christophe Biernacki , Gilles Celeux , Gérard Govaert
[Research Report] RR-6082, INRIA. 2006, pp.24
Reports inria-00122088v3

Artificial Evolution 2015

Stephane Bonnevay , Pierrick Legrand , Nicolas Monmarché , Evelyne Lutton , Marc Schoenauer
EA 2015 - 12th International Conference, Evolution Artificielle, Oct 2016, Lyon, France. 9554, Springer, 2016, LNCS - Lecture Notes in Computer Science, ⟨10.1007/978-3-319-31471-6⟩
Proceedings hal-01389072v1
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On the Use of Semantics in Multi-objective Genetic Programming

Edgar Galván-López , Efrén Mezura-Montes , Ouassim Ait Elhara , Marc Schoenauer
14th International Conference Parallel Problem Solving from Nature – PPSN XIV, Sep 2016, Edinburgh, United Kingdom. pp.353 - 363, ⟨10.1007/978-3-319-45823-6_33⟩
Conference papers hal-01387632v1
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Impacts of Invariance in Search: When CMA-ES and PSO Face Ill-Conditioned and Non-Separable Problems

Nikolaus Hansen , Raymond Ros , Nikolas Mauny , Marc Schoenauer , Anne Auger
Applied Soft Computing, 2011, 11, pp.5755-5769. ⟨10.1016/j.asoc.2011.03.001⟩
Journal articles inria-00583669v1
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Dominance-Based Pareto-Surrogate for Multi-Objective Optimization

Ilya Loshchilov , Marc Schoenauer , Michèle Sebag
Simulated Evolution And Learning (SEAL-2010), Dec 2010, Kanpur, India
Conference papers inria-00522653v1
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Not all parents are equal for MO-CMA-ES

Ilya Loshchilov , Marc Schoenauer , Michèle Sebag
Evolutionary Multi-Criterion Optimization 2011 (EMO 2011), Apr 2011, Ouro Preto, Brazil. pp.31-45
Conference papers inria-00565282v1
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Comparison-based Adaptive Strategy Selection with Bandits in Differential Evolution

Álvaro Fialho , Raymond Ros , Marc Schoenauer , Michèle Sebag
11th International Conference on Parallel Problem Solving From Nature - PPSN, Sep 2010, Krakow, Poland
Conference papers inria-00493005v2
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A Statistical Learning Perspective of Genetic Programming

Merve Amil , Nicolas Bredeche , Christian Gagné , Sylvain Gelly , Marc Schoenauer , et al.
EuroGP, 2009, Tuebingen, Germany. pp.327-338
Conference papers inria-00369782v1
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An Adaptive Algorithm for constrained optimization problems

Sana Ben Hamida , Marc Schoenauer
PPSN 2000, Sep 2000, Paris, France
Conference papers inria-00001273v1

Artificial Evolution, 4th European Conference, AE '99 Dunkerque, France, November 1999. Selected Papers

Cyril Fonlupt , Jin-Kao Hao , Evelyne Lutton , Edmund Ronald , Marc Schoenauer
Fonlupt, Cyril; AE '99. Conference (Dunkerque, France ; 1999). Artificial Evolution 99 - EA’99 November 3-5, 1999 LIL, Université du Littoral, Dunkerque, France, Nov 1999, Dunkerque, France. 1829, Springer Verlag, 2000, Lecture Notes in Computer Science, 3540678468
Proceedings inria-00000883v1
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Local and global oder 3/2 convergence of a surrogate evolutionary algorithm

Anne Auger , Marc Schoenauer , Olivier Teytaud
GECCO - genetic and evolutionary computation conference, 2005, Washington, pp.857-864
Conference papers inria-00000540v1
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Polar IFS + Parisian GP = Efficient IFS inverse problem solving

Pierre Collet , Evelyne Lutton , Frédéric Raynal , Marc Schoenauer
Genetic Programming and Evolvable Machines, 2000, 1 (4), pp.339-361
Journal articles inria-00000097v1
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A society of hill-climbers

Michèle Sebag , Marc Schoenauer
4th IEEE International Conference on Evolutionary Computation, 1997, Indianapolis, United States. pp.319-324, ⟨10.1109/ICEC.1997.592329⟩
Conference papers hal-00116477v1
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Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning

Mostepha Redouane Khouadjia , Marc Schoenauer , Vincent Vidal , Johann Dréo , Pierre Savéant
LION7 - Learning and Intelligent OptimizatioN Conference, Jan 2013, Catania, Italy. pp.341-356
Conference papers hal-00820617v1
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Intensive Surrogate Model Exploitation in Self-adaptive Surrogate-assisted CMA-ES (saACM-ES)

Ilya Loshchilov , Marc Schoenauer , Michèle Sebag
Genetic and Evolutionary Computation Conference (GECCO 2013), Jul 2013, Amsterdam, Netherlands. pp.439-446
Conference papers hal-00818595v1
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APRIL: Active Preference-learning based Reinforcement Learning

Riad Akrour , Marc Schoenauer , Michèle Sebag
ECML PKDD 2012, Sep 2012, Bristol, United Kingdom. pp.116-131
Conference papers hal-00722744v1
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Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES

Ilya Loshchilov , Marc Schoenauer , Michèle Sebag , Nikolaus Hansen
13th International Conference on Parallel Problem Solving from Nature (PPSN 2014), Sep 2014, Ljubljana, Slovenia. pp.70-79
Conference papers hal-01003504v2
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Genetic lander: An experiment in accurate neuro-genetic control

Edmund Ronald , Marc Schoenauer
Proc. PPSN III, Oct 1994, Jérusalem, France. pp.452 - 461, ⟨10.1007/3-540-58484-6_288⟩
Conference papers hal-01079614v1
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Un état des lieux de l'optimisation évolutionnaire et de ses implications en sciences pour l'ingénieur

Rodolphe Le Riche , Marc Schoenauer , Michèle Sebag
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
Book sections inria-00120733v1
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Inductive learning of mutation step-size in evolutionary parameter optimization

Michèle Sebag , Marc Schoenauer , Caroline Ravisé
Evolutionary Programming VI, 1997, Detroit, United States. pp.247-261, ⟨10.1007/BFb0014816⟩
Conference papers istex hal-00116479v1

Toward Optimal Run Racing: Application to Deep Learning Calibration

Olivier Bousquet , Sylvain Gelly , Karol Kurach , Marc Schoenauer , Michèle Sebag , et al.
2017
Preprints, Working Papers, ... hal-01634381v1

Feature induction by backpropagation

E. Ronald , Marc Schoenauer , Michèle Sebag
1994 IEEE International Conference on Neural Networks (ICNN'94), Jun 1994, Orlando, United States. pp.531-534 vol.1, ⟨10.1109/ICNN.1994.374220⟩
Conference papers hal-03526439v1
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Genetic algorithms for optimal plane conflict resolution in air traffic

Nicolas Durand , Nicolas Alech , Jean-Marc Alliot , Marc Schoenauer
SPICIS 1994, 2nd Singapore International Conference on Intelligent Systems, Nov 1994, Singapour, Singapore. pp xxxx
Conference papers hal-00940945v1
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Stochastic Gradient Descent: Going As Fast As Possible But Not Faster

Alice Schoenauer Sebag , Marc Schoenauer , Michèle Sebag
OPTML 2017 : 10th NIPS Workshop on Optimization for Machine Learning, Alekh Agarwal (MSR, US), Ben Recht (UC Berkeley, US), Sashank J. Reddi (Google, US), Suvrit Sra (MIT, US), Dec 2017, Los Angeles, United States. pp.1-8
Conference papers hal-01700460v1
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KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization

Ilya Loshchilov , Marc Schoenauer , Michèle Sebag
Conférence sur l'Apprentissage Automatique, Jul 2013, Lille, France
Conference papers hal-00851189v2

Flight Alternative Routes Generator by Genetic Algorithms

Sofiane Oussedik , Daniel Delahaye , Marc Schoenauer
Proceeding of the 2000 Congress on Evolutionary Computation, 2000, Unknown, Unknown Region
Conference papers hal-01205253v1
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True Pareto Fronts for Multi-Objective AI Planning Instances

Alexandre Quemy , Marc Schoenauer
European Conference on Combinatorial Optimization - EvoCOP, Apr 2015, Copenhague, Denmark. pp.197-208
Conference papers hal-01109777v1

Multidisciplinary Optimization in the Design of Future Space Launchers

Guillaume Collange , Nathalie Delattre , Nikolaus Hansen , Isabelle Quinquis , Marc Schoenauer
Rajan Filomeno Coelho and Piotr Breitkopf. Multidisciplinary Design Optimization in Computational Mechanics, Wiley, 2010
Book sections inria-00476171v1