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ParaDisEO-Based Design of Parallel and Distributed Evolutionary Algorithms

 S. Cahon , N. Melab , El-Ghazali Talbi , Marc Schoenauer
Evolution Artificielle, Oct 2003, Marseille, France. pp.216-228, ⟨10.1007/b96080⟩
Communication dans un congrès inria-00201075v1
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On the Benefits of Inoculation, an Example in Train Scheduling

 Yann Semet , Marc Schoenauer
GECCO-2006, Jul 2006, Seattle, United States. pp.1761-1768
Communication dans un congrès inria-00116345v1

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
Communication dans un congrès hal-01205253v1
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Manipulation of Non-Linear IFS attractors using Genetic Programming

 Frédéric Raynal , Evelyne Lutton , Pierre Collet , Marc Schoenauer
Congress on Evolutionary Computation, Jul 1999, Washington DC, USA
Communication dans un congrès inria-00000878v1
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Genetic algorithms for air traffic assignment

 Daniel Delahaye , Jean-Marc Alliot , Marc Schoenauer , Jean-Loup Farges
ECAI 1994, 11th European Conference on Artificial Intelligence, Aug 1994, Amsterdam, Netherlands. pp 372-376
Communication dans un congrès hal-01018467v1
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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⟩
Communication dans un congrès istex hal-00116479v1
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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
Communication dans un congrès hal-00940945v1

Toward Optimal Run Racing: Application to Deep Learning Calibration

 Olivier Bousquet , Sylvain Gelly , Karol Kurach , Marc Schoenauer , Michèle Sebag , et al.
2017
Pré-publication, Document de travail hal-01634381v1
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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
Communication dans un congrès hal-00851189v2
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Evolving Genes to Balance a Pole

 Miguel Nicolau , Marc Schoenauer , W. Banzhaf
European Conference on Genetic Programming, Apr 2010, Istanbul, Turkey. pp.196-207
Communication dans un congrès inria-00483681v1
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A Steady Performance Stopping Criterion for Pareto-based Evolutionary Algorithms

 Olga Roudenko , Marc Schoenauer
6th International Multi-Objective Programming and Goal Programming Conference, Apr 2004, Hammamet, Tunisia
Communication dans un congrès hal-01909120v1
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Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management

 Gaétan Marceau , Pierre Savéant , Marc Schoenauer
Interdisciplinary Science for Innovative Air Traffic Management, Jul 2013, Toulouse, France
Communication dans un congrès hal-00862243v1
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Optimizing Architectural and Structural Aspects of Buildings towards Higher Energy Efficiency

 Álvaro Fialho , Youssef Hamadi , Marc Schoenauer
GECCO 2011 Workshop on GreenIT Evolutionary Computation, Jul 2011, Dublin, Ireland
Communication dans un congrès inria-00591930v1
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Artificial Ontogeny for Truss Structure Design

 Alexandre Devert , Nicolas Bredeche , Marc Schoenauer
Workshop on Spatial Computing (SCW) at the second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2008, Venice, Italy
Communication dans un congrès inria-00337053v1
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Robustness and the Halting Problem for Multi-Cellular Artificial Ontogeny

 Alexandre Devert , Nicolas Bredeche , Marc Schoenauer
IEEE Transactions on Evolutionary Computation, 2011
Article dans une revue inria-00566879v1
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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
Communication dans un congrès hal-01700460v1
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Direct Value Learning: a Preference-based Approach to Reinforcement Learning

 David Meunier , Yutaka Deguchi , Riad Akrour , Enoshin Suzuki , Marc Schoenauer , et al.
ECAI-12 Workshop on Preference Learning: Problems and Applications in AI, Aug 2012, Montpellier, France. pp.42-47
Communication dans un congrès hal-00932976v1

Computational Chair Design using Genetic Algorithms

 Marc Schoenauer , Hatem Hamda , Philippe Morel
Concept Magazine, 2005, 71 (3), pp.95-99
Article dans une revue hal-02987641v1
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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
Communication dans un congrès hal-01109777v1
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Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop problem

 Manuel Loth , Michèle Sebag , Youssef Hamadi , Marc Schoenauer , Christian Schulte
LION7 - Learning and Intelligent OptimizatioN Conference, Jan 2013, Catania, Italy. pp.315-320
Communication dans un congrès hal-00863453v1
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On the Evolution of Scale-Free Topologies with a Gene Regulatory Network Model

 Miguel Nicolau , Marc Schoenauer
BioSystems, 2009
Article dans une revue inria-00399667v1

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
Chapitre d'ouvrage inria-00476171v1
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Divide-and-Evolve: a New Memetic Scheme for Domain-Independent Temporal Planning

 Marc Schoenauer , Pierre Savéant , Vincent Vidal
EvoCOP2006, Apr 2006, Budapest, pp.247-260
Communication dans un congrès inria-00000975v1
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A geologically-sound representation for evolutionary multi-objective subsurface identification

 Vijay Pratap Singh , Marc Schoenauer , Michel Léger
IEEE Congress on Evolutionary Computation - CEC'05, D. Corne, Sep 2005, Edinburgh - UK, pp.454-462
Communication dans un congrès inria-00000855v1
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MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front

 Alexandre Quemy , Marc Schoenauer , Johann Dreo
2023
Pré-publication, Document de travail hal-04129698v1
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CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

 Julien Girard-Satabin , Guillaume Charpiat , Zakaria Chihani , Marc Schoenauer
2019
Pré-publication, Document de travail hal-02374956v1
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DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification

 Julien Girard-Satabin , Aymeric Varasse , Marc Schoenauer , Guillaume Charpiat , Zakaria Chihani
2021
Pré-publication, Document de travail hal-03227439v1
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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
Communication dans un congrès inria-00201074v1
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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
Communication dans un congrès inria-00000540v1
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Interpretable reduced order modeling using neural autoencoders

 Emmanuel Menier , Sebastian Kaltenbach , Mouadh Yagoubi , Marc Schoenauer , Koumoutsakos Petros
MORTech 2023 – 6th International Workshop on Model Reduction Techniques, Nov 2023, Gif-sur Yvette, France
Poster de conférence hal-04296372v1
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