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2020 – today
- 2024
[c179]Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer:
Multi-Level GNN Preconditioner for Solving Large Scale Problems. IPDPS (Workshops) 2024: 486-495- [i68]Matthieu Nastorg, Jean-Marc Gratien, Thibault Faney, Michele Alessandro Bucci, Guillaume Charpiat, Marc Schoenauer:
Multi-Level GNN Preconditioner for Solving Large Scale Problems. CoRR abs/2402.08296 (2024) - [i67]Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari:
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). CoRR abs/2403.01623 (2024) - [i66]Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michèle Sebag, Marc Schoenauer:
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. CoRR abs/2405.05025 (2024) - [i65]Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Maroua Gmati, Asma Farjallah, Paola Cinnella, Patrick Gallinari, Marc Schoenauer:
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. CoRR abs/2407.01641 (2024) - 2023
- [c178]Alessandro Ferreira Leite, Marc Schoenauer
:
Memetic Semantic Genetic Programming for Symbolic Regression. EuroGP 2023: 198-212 - [c177]Mathurin Videau, Nickolai Knizev, Alessandro Leite, Marc Schoenauer, Olivier Teytaud:
Interactive Latent Diffusion Model. GECCO 2023: 586-596 - [i64]Matthieu Nastorg, Michele Alessandro Bucci, Thibault Faney, Jean-Marc Gratien, Guillaume Charpiat, Marc Schoenauer:
An Implicit GNN Solver for Poisson-like problems. CoRR abs/2302.10891 (2023) - [i63]Alexandre Quemy, Marc Schoenauer, Johann Dréo:
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front. CoRR abs/2304.14659 (2023) - [i62]Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer:
Meta-Learning for Airflow Simulations with Graph Neural Networks. CoRR abs/2306.10624 (2023) - [i61]Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi, Marc Schoenauer, Petros Koumoutsakos:
Interpretable learning of effective dynamics for multiscale systems. CoRR abs/2309.05812 (2023) - 2022
- [c176]Mathurin Videau, Alessandro Leite, Olivier Teytaud, Marc Schoenauer:
Multi-objective Genetic Programming for Explainable Reinforcement Learning. EuroGP 2022: 278-293 - [c175]Herilalaina Rakotoarison, Louisot Milijaona, Andry Rasoanaivo, Michèle Sebag, Marc Schoenauer:
Learning meta-features for AutoML. ICLR 2022 - [c174]Georgios Zervakis, Emmanuel Vincent, Miguel Couceiro, Marc Schoenauer, Esteban Marquer:
An Analogy based Approach for Solving Target Sense Verification. NLPIR 2022: 144-151 - [i60]Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer:
CD-ROM: Complementary Deep-Reduced Order Model. CoRR abs/2202.10746 (2022) - [i59]Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer:
Continuous Methods : Hamiltonian Domain Translation. CoRR abs/2207.03843 (2022) - [i58]Matthieu Nastorg, Marc Schoenauer, Guillaume Charpiat, Thibault Faney, Jean-Marc Gratien, Michele Alessandro Bucci:
DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations). CoRR abs/2211.11763 (2022) - [i57]Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Thibault Dairay, Raphaël Meunier, Marc Schoenauer:
Continuous Methods : Adaptively intrusive reduced order model closure. CoRR abs/2211.16999 (2022) - 2021
- [c173]Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden, Alexis Vighi, Marc Schoenauer:
Zoetrope genetic programming for regression. GECCO 2021: 776-784 - [c172]Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys:
Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo. GECCO Companion 2021: 1522-1530 - [c171]Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer:
Multi-resolution Graph Neural Networks for PDE Approximation. ICANN (3) 2021: 151-163 - [c170]Georgios Zervakis, Emmanuel Vincent, Miguel Couceiro, Marc Schoenauer:
On Refining BERT Contextualized Embeddings using Semantic Lexicons. MLSMKG@PKDD/ECML 2021 - [i56]Aurélie Boisbunon, Carlo Fanara, Ingrid Grenet, Jonathan Daeden, Alexis Vighi, Marc Schoenauer:
Zoetrope Genetic Programming for Regression. CoRR abs/2102.13388 (2021) - [i55]Johann Dréo, Arnaud Liefooghe, Sébastien Vérel, Marc Schoenauer, Juan Julián Merelo Guervós, Alexandre Quemy, Benjamin Bouvier, Jan Gmys:
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics - 22 Years of Paradiseo -. CoRR abs/2105.00420 (2021) - [i54]Julien Girard-Satabin, Aymeric Varasse, Marc Schoenauer, Guillaume Charpiat, Zakaria Chihani:
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification. CoRR abs/2105.07776 (2021) - [i53]Mikhail Evchenko, Joaquin Vanschoren, Holger H. Hoos, Marc Schoenauer, Michèle Sebag:
Frugal Machine Learning. CoRR abs/2111.03731 (2021) - 2020
- [j38]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26(2): 274-306 (2020) - [j37]Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer:
LEAP nets for system identification and application to power systems. Neurocomputing 416: 316-327 (2020) - [c169]Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer:
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. ECAI 2020: 2497-2504 - [c168]Balthazar Donon, Zhengying Liu, Wenzhuo Liu, Isabelle Guyon, Antoine Marot, Marc Schoenauer:
Deep Statistical Solvers. NeurIPS 2020 - [e17]Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, Marc Schoenauer:
Artificial Evolution - 14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29-30, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12052, Springer 2020, ISBN 978-3-030-45714-3 [contents]
2010 – 2019
- 2019
- [c167]Maryam Hasani-Shoreh, Maria Yaneli Ameca-Alducin, Wilson Blaikie, Marc Schoenauer:
On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints. CEC 2019: 3045-3052 - [c166]Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer:
LEAP nets for power grid perturbations. ESANN 2019 - [c165]Edgar Galván, Marc Schoenauer:
Promoting semantic diversity in multi-objective genetic programming. GECCO 2019: 1021-1029 - [c164]Marc Nabhan, Marc Schoenauer, Yves Tourbier, Hiba Hage:
Optimizing coverage of simulated driving scenarios for the autonomous vehicle. ICCVE 2019: 1-5 - [c163]Alice Schoenauer Sebag, Louise Heinrich, Marc Schoenauer, Michèle Sebag, Lani F. Wu, Steven J. Altschuler:
Multi-Domain Adversarial Learning. ICLR (Poster) 2019 - [c162]Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag:
Automated Machine Learning with Monte-Carlo Tree Search. IJCAI 2019: 3296-3303 - [i52]Alice Schoenauer Sebag, Louise Heinrich, Marc Schoenauer, Michèle Sebag, Lani F. Wu, Steven J. Altschuler:
Multi-Domain Adversarial Learning. CoRR abs/1903.09239 (2019) - [i51]Maryam Hasani-Shoreh, Maria Yaneli Ameca-Alducin, Wilson Blaikie, Frank Neumann, Marc Schoenauer:
On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints. CoRR abs/1905.04099 (2019) - [i50]Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag:
Automated Machine Learning with Monte-Carlo Tree Search (Extended Version). CoRR abs/1906.00170 (2019) - [i49]Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer:
LEAP nets for power grid perturbations. CoRR abs/1908.08314 (2019) - [i48]Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer:
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. CoRR abs/1911.10735 (2019) - 2018
- [j36]Chaouki Boufenar, Mohamed Batouche, Marc Schoenauer:
An artificial immune system for offline isolated handwritten arabic character recognition. Evol. Syst. 9(1): 25-41 (2018) - [c161]Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici:
Fast Power system security analysis with Guided Dropout. ESANN 2018 - [c160]Luis Martí, Marc Schoenauer:
Bio-inspired approaches to anomaly and intrusion detection. GECCO (Companion) 2018: 1121-1137 - [c159]Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici:
Anticipating contingengies in power grids using fast neural net screening. IJCNN 2018: 1-8 - [c158]Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici:
Optimization of computational budget for power system risk assessment. ISGT Europe 2018: 1-6 - [c157]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [e16]Evelyne Lutton, Pierrick Legrand, Pierre Parrend, Nicolas Monmarché, Marc Schoenauer:
Artificial Evolution - 13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25-27, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10764, Springer 2018, ISBN 978-3-319-78132-7 [contents] - [i47]Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici:
Fast Power system security analysis with Guided Dropout. CoRR abs/1801.09870 (2018) - [i46]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR abs/1803.03453 (2018) - [i45]Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici:
Optimization of computational budget for power system risk assessment. CoRR abs/1805.01174 (2018) - 2017
- [c156]Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo:
On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems. Artificial Evolution 2017: 72-87 - [c155]Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo:
Dynamic GP fitness cases in static and dynamic optimisation problems. GECCO (Companion) 2017: 227-228 - [c154]Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
Progressively adding objectives: a case study in anomaly detection. GECCO 2017: 593-600 - [c153]Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Per instance algorithm configuration of CMA-ES with limited budget. GECCO 2017: 681-688 - [i44]François Gonard, Marc Schoenauer, Michèle Sebag:
ASAP.V2 and ASAP.V3: Sequential optimization of an Algorithm Selector and a Scheduler. OASC 2017: 8-11 - [i43]Olivier Bousquet, Sylvain Gelly, Karol Kurach, Marc Schoenauer, Michèle Sebag, Olivier Teytaud, Damien Vincent:
Toward Optimal Run Racing: Application to Deep Learning Calibration. CoRR abs/1706.03199 (2017) - [i42]Alice Schoenauer Sebag, Marc Schoenauer, Michèle Sebag:
Stochastic Gradient Descent: Going As Fast As Possible But Not Faster. CoRR abs/1709.01427 (2017) - [i41]Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Patrick Panciatici, Antoine Marot:
Introducing machine learning for power system operation support. CoRR abs/1709.09527 (2017) - 2016
- [c152]Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System. GECCO (Companion) 2016: 11-12 - [c151]Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Surrogate Assisted Feature Computation for Continuous Problems. LION 2016: 17-31 - [c150]Michèle Sebag, Riad Akrour, Basile Mayeur, Marc Schoenauer:
Anti Imitation-Based Policy Learning. ECML/PKDD (2) 2016: 559-575 - [c149]Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Feature Based Algorithm Configuration: A Case Study with Differential Evolution. PPSN 2016: 156-166 - [c148]Edgar Galván López, Efrén Mezura-Montes, Ouassim Ait ElHara, Marc Schoenauer:
On the Use of Semantics in Multi-objective Genetic Programming. PPSN 2016: 353-363 - [c147]Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. PPSN 2016: 697-706 - [e15]Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer:
Artificial Evolution - 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9554, Springer 2016, ISBN 978-3-319-31470-9 [contents] - [i40]Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. CoRR abs/1610.08640 (2016) - 2015
- [c146]Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Parameter Setting for Multicore CMA-ES with Large Populations. Artificial Evolution 2015: 109-122 - [c145]Robyn Ffrancon, Marc Schoenauer:
Greedy Semantic Local Search for Small Solutions. Artificial Evolution 2015: 149-162 - [c144]Alexandre Quemy, Marc Schoenauer:
True Pareto Fronts for Multi-objective AI Planning Instances. EvoCOP 2015: 197-208 - [c143]Robyn Ffrancon, Marc Schoenauer:
Memetic Semantic Genetic Programming. GECCO 2015: 1023-1030 - [c142]Robyn Ffrancon, Marc Schoenauer:
Greedy Semantic Local Search for Small Solutions. GECCO (Companion) 2015: 1293-1300 - [c141]Edgar Galván López, Marc Schoenauer, Constantinos Patsakis:
Design of an Autonomous Intelligent Demand-Side Management System by using Electric Vehicles as Mobile Energy Storage Units by Means of Evolutionary Algorithms. IJCCI (ECTA) 2015: 106-115 - [c140]Edgar Galván López, Marc Schoenauer, Constantinos Patsakis, Leonardo Trujillo:
Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand. IJCCI (Selected Papers) 2015: 155-174 - [c139]Alexandre Quemy, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve. LION 2015: 262-267 - 2014
- [c138]Marc Schoenauer, Riad Akrour, Michèle Sebag, Jean-Christophe Souplet:
Programming by Feedback. ICML 2014: 1503-1511 - [c137]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen:
Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES. PPSN 2014: 70-79 - [c136]Gaétan Marceau-Caron, Marc Schoenauer:
Racing Multi-objective Selection Probabilities. PPSN 2014: 631-640 - [e14]Pierrick Legrand, Marc-Michel Corsini, Jin-Kao Hao, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer:
Artificial Evolution - 11th International Conference, Evolution Artificielle, EA 2013, Bordeaux, France, October 21-23, 2013. Revised Selected Papers. Lecture Notes in Computer Science 8752, Springer 2014, ISBN 978-3-319-11682-2 [contents] - [i39]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen:
Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES. CoRR abs/1406.2623 (2014) - [i38]Gaétan Marceau, Marc Schoenauer:
Racing Multi-Objective Selection Probabilities. CoRR abs/1406.4973 (2014) - 2013
- [j35]Youssef Hamadi, Marc Schoenauer:
Guest editorial: special issue - revised selected papers of the LION 6 conference. Ann. Math. Artif. Intell. 69(2): 149-150 (2013) - [c135]Gaétan Marceau Caron, Pierre Savéant, Marc Schoenauer:
Multiobjective tactical planning under uncertainty for air traffic flow and capacity management. IEEE Congress on Evolutionary Computation 2013: 1548-1555 - [c134]Manuel Loth, Michèle Sebag, Youssef Hamadi, Marc Schoenauer:
Bandit-Based Search for Constraint Programming. CP 2013: 464-480 - [c133]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark. EMO 2013: 36-50 - [c132]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Multi-objective AI Planning: Comparing Aggregation and Pareto Approaches. EvoCOP 2013: 202-213 - [c131]Gaétan Marceau, Pierre Savéant, Marc Schoenauer:
Multiobjective optimization for reducing delays and congestion in air traffic management. GECCO (Companion) 2013: 187-188 - [c130]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Intensive surrogate model exploitation in self-adaptive surrogate-assisted cma-es (saacm-es). GECCO 2013: 439-446 - [c129]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Bi-population CMA-ES agorithms with surrogate models and line searches. GECCO (Companion) 2013: 1177-1184 - [c128]François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau:
Sustainable cooperative coevolution with a multi-armed bandit. GECCO 2013: 1517-1524 - [c127]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Pareto-Based Multiobjective AI Planning. IJCAI 2013: 2321-2327 - [c126]Manuel Loth, Michèle Sebag, Youssef Hamadi, Marc Schoenauer, Christian Schulte:
Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop Problem. LION 2013: 315-320 - [c125]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning. LION 2013: 341-356 - [i37]François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau:
Sustainable Cooperative Coevolution with a Multi-Armed Bandit. CoRR abs/1304.3138 (2013) - [i36]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches. CoRR abs/1305.1169 (2013) - [i35]Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal, Johann Dréo, Pierre Savéant:
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning. CoRR abs/1305.2265 (2013) - [i34]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization. CoRR abs/1308.2655 (2013) - [i33]Gaétan Marceau, Pierre Savéant, Marc Schoenauer:
Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem. CoRR abs/1309.3917 (2013) - [i32]Gaétan Marceau, Pierre Savéant, Marc Schoenauer:
Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management. CoRR abs/1309.3921 (2013) - [i31]Gaétan Marceau, Pierre Savéant, Marc Schoenauer:
Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management. CoRR abs/1309.4085 (2013) - 2012
- [j34]Sylvain Gelly, Levente Kocsis, Marc Schoenauer, Michèle Sebag, David Silver, Csaba Szepesvári, Olivier Teytaud:
The grand challenge of computer Go: Monte Carlo tree search and extensions. Commun. ACM 55(3): 106-113 (2012) - [j33]Gabriela Ochoa, Mike Preuss, Thomas Bartz-Beielstein, Marc Schoenauer:
Editorial for the Special Issue on Automated Design and Assessment of Heuristic Search Methods. Evol. Comput. 20(2): 161-163 (2012) - [j32]Anne Auger, Nikolaus Hansen, Marc Schoenauer:
Benchmarking of Continuous Black Box Optimization Algorithms. Evol. Comput. 20(4): 481 (2012) - [c124]Álvaro Fialho, Youssef Hamadi, Marc Schoenauer:
A Multi-objective Approach to Balance Buildings Construction Cost and Energy Efficiency. ECAI 2012: 961-966 - [c123]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed. GECCO (Companion) 2012: 175-182 - [c122]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed. GECCO (Companion) 2012: 261-268 - [c121]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbed. GECCO (Companion) 2012: 269-276 - [c120]Ilya Loshchilov, Marc Schoenauer, Michèle Sebag:
Self-adaptive surrogate-assisted covariance matrix adaptation evolution strategy. GECCO 2012: 321-328 - [c119]Mouadh Yagoubi, Marc Schoenauer:
Asynchronous master/slave moeas and heterogeneous evaluation costs. GECCO 2012: 1007-1014 - [c118]Thomas Philip Runarsson, Marc Schoenauer, Michèle Sebag:
Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling. LION 2012: 160-174 - [c117]