Bibliography

Doctoral Dissertations and Habilitation Theses

• 1R. Bardenet.
  
  Towards adaptive learning and inference (applications to hyperparameter tuning and astroparticle physics), Université Paris Sud - Paris XI, December 2012.
• 2Z. Bouzarkouna.
  
  Optimisation de placement des puits, Université Paris Sud - Paris XI, April 2012.
  
  http://hal.inria.fr/tel-00690456
• 3M. Yagoubi.
  
  Multi-objective parallel evolutionary algorithms : Application on Diesel Combustion, Université Paris Sud - Paris XI, July 2012.
  
  http://tel.archives-ouvertes.fr/tel-00734108

Articles in International Peer-Reviewed Journals

• 4D. Benbouzid, R. Busa-Fekete, N. Casagrande, F.-D. Collin, B. Kégl.
  
  Multiboost: a multi-purpose boosting package, in: Journal of Machine Learning Research, 2012, vol. 13, p. 549-553.
  
  http://hal.inria.fr/in2p3-00698455
• 5N. Bredeche, J.-M. Montanier, W. Liu, A. Winfield.
  
  Environment-driven Distributed Evolutionary Adaptation in a Population of Autonomous Robotic Agents, in: Mathematical and Computer Modelling of Dynamical Systems, 2012, vol. 18, n^o 1, p. 101-129.
  
  http://hal.inria.fr/inria-00531450
• 6P. Caillou, J. Gil-Quijano, X. Zhou.
  
  Automated observation of multi-agent based simulations: a statistical analysis approach, in: Studia Informatica Universalis, 2013, page : to appear.
  
  http://hal.inria.fr/hal-00738384
• 7F.-M. De Rainville, C. Gagné, O. Teytaud, D. Laurendeau.
  
  Evolutionary Optimization of Low-Discrepancy Sequences, in: ACM Transactions on Modeling and Computer Simulation, 2012, vol. 22, n^o 2, p. 9:1-9:25.
  
  http://hal.inria.fr/hal-00758158
• 8G. Fouquier, J. Atif, I. Bloch.
  
  Sequential model-based segmentation and recognition of image structures driven by visual features and spatial relations, in: Computer Vision and Image Understanding, 2012, vol. 116, n^o 1, p. 146-165.
  
  http://www.sciencedirect.com/science/article/pii/S1077314211001998
• 9C. Furtlehner, J.-M. Lasgouttes, M. Samsonov.
  
  One-dimensional Particle Processes with Acceleration/Braking Asymmetry, in: Journal of Statistical Physics, June 2012, vol. 147, n^o 6, p. 1113-1144. [ DOI : 10.1007/s10955-012-0521-y ]
  
  http://hal.inria.fr/hal-00743369
• 10S. Gelly, M. Schoenauer, M. Sebag, O. Teytaud, L. Kocsis, D. Silver, C. Szepesvari.
  
  The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions, in: Communications- ACM, 2012, vol. 55, n^o 3, p. 106-113, Invited paper.
  
  http://hal.inria.fr/hal-00695370
• 11M. R. Khouadjia, B. Sarasola, E. Alba, L. Jourdan, E.-G. Talbi.
  
  A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests, in: Applied Soft Computing, 2012, vol. 12, n^o 4, p. 1426-1439.
  
  http://hal.inria.fr/hal-00750715
• 12C.-S. Lee, M.-H. Wang, Y.-J. Chen, H. Hagras, M.-J. Wu, O. Teytaud.
  
  Genetic fuzzy markup language for game of NoGo, in: Knowledge-Based Systems, 2012, vol. 34, p. 64-80.
  
  http://www.sciencedirect.com/science/article/pii/S0950705112000469
• 13A. Muzy, F. Varenne, B. P. Zeigler, J. Caux, P. Coquillard, L. Touraille, D. Prunetti, P. Caillou, O. Michel, D. Hill.
  
  Refounding of Activity Concept ? Towards a Federative Paradigm for Modeling and Simulation, in: Simulation: Transactions of the Society for Modeling and Simulation International, 2012, To appear. [ DOI : 10.1177/0037549712457852 ]
  
  http://hal.inria.fr/hal-00738218
• 14Y. Ollivier, C. Villani.
  
  A Brunn–Minkowski inequality on the discrete hypercube, in: SIAM J. Discrete Math., 2012, vol. 26, n^o 3, p. 983–996.
  
  http://dx.doi.org/10.1137/11085966X
• 15T. Élteto, N. Hansen, C. Germain-Renaud, P. Bondon.
  
  Scalable structural break detection, in: Applied Soft Computing, 2012. [ DOI : 10.1016/j.asoc.2012.06.002 ]
  
  http://hal.inria.fr/hal-00711843

Articles in Non Peer-Reviewed Journals

• 16C.-S. Lee, O. Teytaud, M.-H. Wang, S.-J. Yen.
  
  Computational Intelligence Meets the Game of Go @ IEEE WCCI 2012, in: Computational Intelligence Magazine, November 2012, Invited paper.
  
  http://hal.inria.fr/hal-00744982

Invited Conferences

• 17N. Bredeche, J.-M. Montanier.
  
  Environment-driven Open-ended Evolution with a Population of Autonomous Robots, in: Evolving Physical Systems Workshop, ALIFE XIII, East Lansing, États-Unis, 2012, p. 7-14.
  
  http://hal.inria.fr/hal-00731422

International Conferences with Proceedings

• 18Y. Akimoto.
  
  Analysis of a Natural Gradient Algorithm on Monotonic Convex-Quadratic-Composite Functions, in: Proc. Genetic and Evolutionary Computation Conference (ACM-GECCO), Philadelphia, États-Unis, April 2012.
  
  http://hal.inria.fr/hal-00688909
• 19Y. Akimoto, A. Auger, N. Hansen.
  
  Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C2-composite Functions, in: PPSN - 12th International Conference on Parallel Problem Solving from Nature - 2012, Taormina, Italie, Springer, June 2012.
  
  http://hal.inria.fr/hal-00710214
• 20Y. Akimoto, Y. Ollivier.
  
  Objective Improvement in Information-Geometric Optimization, in: Foundations of Genetic Algorithms (FOGA 2013), F. Neumann, K. DeJong (editors), 2013, To appear.
• 21R. Akrour, M. Schoenauer, M. Sebag.
  
  APRIL: Active Preference-learning based Reinforcement Learning, in: ECML PKDD 2012, Bristol, Royaume-Uni, Peter Flach et al. (editor), LNCS, Springer Verlag, September 2012, vol. 7524, p. 116-131.
  
  http://hal.inria.fr/hal-00722744
• 22D. Arnold, N. Hansen.
  
  A (1+1)-CMA-ES for Constrained Optimisation, in: Proc. Genetic and Evolutionary Computation Conference (ACM-GECCO), Philadelphia, États-Unis, ACM, 2012, p. 297-304. [ DOI : 10.1145/2330163.2330207 ]
  
  http://hal.inria.fr/hal-00696268
• 23R. Bardenet, O. Cappé, G. Fort, B. Kégl.
  
  Adaptive Metropolis with online relabeling, in: Fifteenth International Conference on Artificial Intelligence and Statistics, La Palma, Espagne, N. Lawrence, M. Girolami (editors), 2012, vol. 22, p. 91-99.
  
  http://hal.inria.fr/in2p3-00698479
• 24R. Bardenet, B. Kégl.
  
  An adaptive Monte-Carlo Markov chain algorithm for inference from mixture signals, in: 14th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2011), Uxbridge, Royaume-Uni, L. Teodorescu, D. Britton, N. Glover, G. Heinrich, J. Lauret, A. Naumann, T. Speer, P. Teixeira-Dias (editors), 2012, vol. 368, 012044 p. [ DOI : 10.1088/1742-6596/368/1/012044 ]
  
  http://hal.inria.fr/in2p3-00714497
• 25Z. Bouzarkouna, D. Y. Ding, A. Auger.
  
  Well Placement Optimization under Uncertainty with CMA-ES Using the Neighborhood, in: 13th European Conference on the Mathematics of Oil Recovery ECMOR 2012, Biarritz, France, EAGE, September 2012.
  
  http://hal.inria.fr/hal-00727635
• 26M. Brendel, M. Schoenauer.
  
  Learn-and-Optimize: a Parameter Tuning Framework for Evolutionary AI Planning, in: Artificial Evolution, Angers, France, Jin-Kao Hao et al. (editor), LNCS, Springer Verlag, September 2012, vol. 7401, p. 159-170.
  
  http://hal.inria.fr/inria-00632378
• 27D. Brockhoff, A. Auger, N. Hansen.
  
  Comparing Mirrored Mutations and Active Covariance Matrix Adaptation in the IPOP-CMA-ES on the Noiseless BBOB Testbed, in: GECCO Companion, Philadelphia, PA, États-Unis, July 2012, p. 297-303, only loosely reviewed. [ DOI : 10.1145/2330784.2330827 ]
  
  http://hal.inria.fr/hal-00746120
• 28D. Brockhoff, A. Auger, N. Hansen.
  
  On the Effect of Mirroring in the IPOP Active CMA-ES on the Noiseless BBOB Testbed, in: GECCO Companion, Philadelphia, PA, États-Unis, July 2012, p. 277-284, only loosely reviewed. [ DOI : 10.1145/2330784.2330824 ]
  
  http://hal.inria.fr/hal-00746123
• 29D. Brockhoff, A. Auger, N. Hansen.
  
  On the Impact of a Small Initial Population Size in the IPOP Active CMA-ES with Mirrored Mutations on the Noiseless BBOB Testbed, in: GECCO Companion, Philadelphia, PA, États-Unis, July 2012, p. 285-290, only loosely reviewed. [ DOI : 10.1145/2330784.2330825 ]
  
  http://hal.inria.fr/hal-00746122
• 30D. Brockhoff, A. Auger, N. Hansen.
  
  On the Impact of Active Covariance Matrix Adaptation in the CMA-ES With Mirrored Mutations and Small Initial Population Size on the Noiseless BBOB Testbed, in: GECCO Companion, Philadelphia, PA, États-Unis, July 2012, p. 291-296, only loosely reviewed. [ DOI : 10.1145/2330784.2330826 ]
  
  http://hal.inria.fr/hal-00746121
• 31O. Buffet, C.-S. Lee, W. Lin, O. Teytaud.
  
  Optimistic Heuristics for MineSweeper, in: International Computer Symposium, Hualien, Taïwan, Province De Chine, 2012.
  
  http://hal.inria.fr/hal-00750577
• 32R. Busa-Fekete, D. Benbouzid, B. Kégl.
  
  Fast classification using sparse decision DAGs, in: 29th International Conference on Machine Learning (ICML 2012), Edinburgh, Royaume-Uni, June 2012.
  
  http://hal.inria.fr/in2p3-00711150
• 33P. Caillou, J. Gil-Quijano.
  
  SimAnalyzer: automated description of groups dynamics in agent-based simulations, in: AAMAS 2012, Valencia, Espagne, V. Conitzer, M. Winikoff, L. Padgham, W. van der Hoek (editors), International Foundation for Autonomous Agents and Multiagent Systems, June 2012, p. 1353-1354.
  
  http://hal.inria.fr/hal-00738182
• 34L. Cazenille, N. Bredeche, H. Hamann, J. Stradner.
  
  Impact of Neuron Models and Network Structure on Evolving Modular Robot Neural Network Controllers, in: Proc. Genetic and Evolutionary Computation Conference (ACM-GECCO), Philadelphia, États-Unis, 2012, p. 89-96.
  
  http://hal.inria.fr/hal-00731411
• 35A. Chotard, A. Auger, N. Hansen.
  
  Cumulative Step-size Adaptation on Linear Functions: Technical Report, in: International Conference on Parallel Problem Solving from Nature, Springer, June 2012.
  
  http://hal.inria.fr/hal-00704903
• 37A. Couëtoux, H. Doghmen, O. Teytaud.
  
  Improving the exploration in Upper Confidence Trees, in: Learning and Intelligent OptimizatioN (LION'6), Paris, France, Y. Hamadi, M. Schoenauer (editors), LNCS, Sringer Verlag, 2012, vol. 7219, p. 366-380.
  
  http://hal.inria.fr/hal-00745208
• 38A. Couëtoux, H. Doghmen, O. Teytaud.
  
  Learning a move-generator for Monte-Carlo Tree Search, in: International Computer Symposium, 2012.
  
  http://hal.inria.fr/hal-00759822
• 39D. Feng, C. Germain-Renaud, T. Glatard.
  
  Distributed Monitoring with Collaborative Prediction, in: 12th IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGrid'12), Ottawa, Canada, IEEE, May 2012, e-pub ahead of print.
  
  http://hal.inria.fr/hal-00673148
• 40C. Germain-Renaud, F. Furst, T. Jacob, M. Jouvin, G. Kassel, J. Nauroy, G. Philippon.
  
  The Green Computing Observatory: a data curation approach for green IT , in: Selected papers from EGI Community Forum 2012, Berlin, Germany, Proceedings of Science, 2012.
  
  http://pos.sissa.it/archive/conferences/162/059/EGICF12-EMITC2_059.pdf
• 41A. Hadjaz, G. Marceau, P. Savéant, M. Schoenauer.
  
  Increasing Air Traffic: What is the Problem?, in: Proceedings of the SESAR Innovation Days (2012), EUROCONTROL, November 2012.
  
  http://hal.inria.fr/hal-00766017
• 42A. Hadjaz, G. Marceau, P. Savéant, M. Schoenauer.
  
  Online Learning for Ground Trajectory Prediction, in: Proceedings of the SESAR Innovation Days (2012), EUROCONTROL, November 2012.
  
  http://hal.inria.fr/hal-00766049
• 43I. Hegeds, R. Busa-Fekete, R. Ormándi, M. Jelasity, B. Kégl.
  
  Peer-to-peer multi-class boosting, in: 18th International European Conference on Parallel and Distributed Computing (Euro-Par 2012), Rhodes Island, Grèce, C. Kaklamanis, T. Papatheodorou, P. G. Spirakis (editors), 2012, vol. 7484, p. 389-400, ISBN: 978-3-642-32819-0 (Print) 978-3-642-32820-6 (Online).
  
  http://hal.inria.fr/in2p3-00726735
• 44M. R. Khouadjia, M. Schoenauer, V. Vidal, J. Dréo, P. Savéant.
  
  Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches, in: Proc. EvoCOP'13, M. Middendorf, C. Blum (editors), LNCS, Springer Verlag, 2013, To appear.
• 45M. R. Khouadjia, M. Schoenauer, V. Vidal, J. Dréo, P. Savéant.
  
  Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark, in: 7th International Conference on Evolutionary Multi-Criterion Optimization, Sheffield, Royaume-Uni, R. C. Purshouse, P. J. Fleming, C. M. Fonseca (editors), LNCS, Springer Verlag, March 2013, To appear.
  
  http://hal.inria.fr/hal-00750560
• 46M. R. Khouadjia, M. Schoenauer, V. Vidal, J. Dréo, P. Savéant.
  
  Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning, in: Proc. LION'7, P. Pardalos, G. Nicosia (editors), LNCS, Springer Verlag, 2013, To appear.
• 47I. Loshchilov, M. Schoenauer, M. Sebag.
  
  Alternative Restart Strategies for CMA-ES, in: Parallel Problem Solving From Nature, Taormina, Italie, July 2012.
  
  http://hal.inria.fr/hal-00713415
• 48I. Loshchilov, M. Schoenauer, M. Sebag.
  
  Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed, in: GECCO Companion, Philadelphia, États-Unis, April 2012, only loosely reviewed.
  
  http://hal.inria.fr/hal-00690444
• 49I. Loshchilov, M. Schoenauer, M. Sebag.
  
  Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed, in: GECCO Companion, Philadelphia, États-Unis, April 2012, only loosely reviewed.
  
  http://hal.inria.fr/hal-00690543
• 50I. Loshchilov, M. Schoenauer, M. Sebag.
  
  Black-box Optimization Benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 Noiseless Testbed, in: GECCO Companion, Philadelphia, États-Unis, October 2012, only loosely reviewed.
  
  http://hal.inria.fr/hal-00737409
• 51I. Loshchilov, M. Schoenauer, M. Sebag.
  
  Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy, in: Proc. Genetic and Evolutionary Computation Conference (ACM-GECCO), Philadelphia, États-Unis, April 2012.
  
  http://hal.inria.fr/hal-00686570
• 52M. Loth, M. Sebag, Y. Hamadi, M. Schoenauer, C. Schulte.
  
  Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop problem, in: Proc. LION'7, P. Pardalos, G. Nicosia (editors), LNCS, Springer Verlag, 2013, To appear.
• 53T. Runarsson, M. Schoenauer, M. Sebag.
  
  Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling, in: Learning and Intelligent OptimizatioN (LION'6), Paris, France, Y. Hamadi, M. Schoenauer (editors), LNCS, Sringer Verlag, 2012, vol. 7219, p. 160-174.
  
  http://hal.inria.fr/hal-00736968
• 54M. Sebag, O. Teytaud.
  
  Combining Myopic Optimization and Tree Search: Application to MineSweeper, in: Learning and Intelligent OptimizatioN (LION'6), Paris, France, Y. Hamadi, M. Schoenauer (editors), LNCS, Sringer Verlag, 2012, vol. 7219, p. 220-224.
  
  http://hal.inria.fr/hal-00712417
• 55O. Teytaud, J. Decock.
  
  Noisy Optimization Complexity, in: FOGA - Foundations of Genetic Algorithms XII - 2013, Adelaide, Australie, Feb. 2013.
  
  http://hal.inria.fr/hal-00755663
• 56W. Wang, M. Sebag.
  
  Multi-objective Monte-Carlo Tree Search, in: Asian Conferenc on Machine Learning (ACML 2012), Paris, France, S. C. Hoi, W. Buntine (editors), JMLR Workshop and Conference Proceedings, 2012, vol. 25, p. 507-522.
• 57M. Yagoubi, M. Schoenauer.
  
  Asynchronous Master/Slave MOEAs and Heterogeneous Evaluation Costs, in: Genetic and Evolutionary Computation Conference (GECCO 2012), États-Unis, T. Soule, J. H. Moore (editors), ACM Press, 2012, p. 1007-1014.
  
  http://hal.inria.fr/hal-00689965

National Conferences with Proceeding

• 58P. Caillou, J. Gil-Quijano.
  
  Description automatique de dynamiques de groupes dans des simulations à base d'agents, in: JFSMA 2012, France, October 2012, page : to appear.
  
  http://hal.inria.fr/hal-00738184
• 59N. Galichet, M. Sebag.
  
  Exploration prudente : une approche par méthode de Monte-Carlo arborescente contrainte, in: RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Lyon, France, January 2012, p. 978-2-9539515-2-3, Session "Posters".
  
  http://hal.inria.fr/hal-00656575
• 60V. Martin, J.-M. Lasgouttes, C. Furtlehner.
  
  Local stability of Belief Propagation algorithm with multiple fixed points, in: STAIRS'12 - Sixth "Starting Artificial Intelligence Research" Symposium, Montpellier, France, IOS Press, 2012.
  
  http://hal.inria.fr/hal-00719204

Conferences without Proceedings

• 61R. Busa-Fekete, G. Szarvas, T. Élteto, B. Kégl.
  
  An apple-to-apple comparison of Learning-to-rank algorithms in terms of Normalized Discounted Cumulative Gain, in: 20th European Conference on Artificial Intelligence (ECAI 2012) : Preference Learning: Problems and Applications in AI Workshop, Montpellier, France, August 2012.
  
  http://hal.inria.fr/in2p3-00726760
• 62D. Feng, C. Germain-Renaud, T. Glatard.
  
  Efficient fault monitoring with Collaborative Prediction, in: Journées scientifiques mésocentres et France Grilles, Paris, France, France Grilles, October 2012, e-pub ahead of print.
  
  http://hal.inria.fr/hal-00758025
• 63J.-B. Hoock, J. Bibai.
  
  Solving a Goal-planning task in the MASH project, in: The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012), Tainan, Taïwan, Province De Chine, 2012.
  
  http://hal.inria.fr/hal-00738073

Scientific Books (or Scientific Book chapters)

• 64C. Furtlehner.
  
  An Ising Model for Road Traffic Inference, in: From Hamiltonian Chaos to Complex Systems: a Nonlinear Physics Approach, X. Leoncini, M. Leonetti (editors), Springer, December 2012.
  
  http://hal.inria.fr/hal-00743351
• 65C.-S. Lee, M.-H. Wang, O. Teytaud.
  
  Fuzzy Ontologies for the Game of Go, in: On Fuzziness. A Homage to Lotfi A. Zadeh, R. Seising, E. Trillas, C. Moraga, S. Termini (editors), Springer, 2012, p. 367-372.
  
  http://hal.inria.fr/hal-00758147

Books or Proceedings Editing

• 66J.-K. Hao, P. Legrand, P. Collet, N. Monmarché, E. Lutton, M. Schoenauer (editors)
  
  Artificial Evolution 2011, LNCS, Springer Verlag, November 2012, vol. 7401.
  
  http://hal.inria.fr/hal-00643404

Internal Reports

• 67C. Furtlehner, Y. Han, J.-M. Lasgouttes, V. Martin.
  
  Pairwise MRF Calibration by Perturbation of the Bethe Reference Point, Inria, October 2012, n^o RR-8059, 35 p.
  
  http://hal.inria.fr/hal-00743334
• 68N. Lazaar, Y. Hamadi, S. Jabbour, M. Sebag.
  
  Cooperation control in Parallel SAT Solving: a Multi-armed Bandit Approach, Inria, September 2012, n^o RR-8070, 18 p.
  
  http://hal.inria.fr/hal-00733282

Other Publications

• 69J. Atif, C. Hudelot, I. Bloch.
  
  Explanatory reasoning for image understanding using formal concept analysis and description logics, 2013, Under review in IEEE Transactions in Man Systems and Cybernetics-Part A.
• 70O. Nempont, J. Atif, I. Bloch.
  
  A constraint propagation approach to structural model based image segmentation and recognition, 2013, Under review in Information Sciences.

• 71L. Arnold, A. Auger, N. Hansen, Y. Ollivier.
  
  Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles, in: ArXiv e-prints, June 2011.
  
  http://adsabs.harvard.edu/abs/2011arXiv1106.3708A
• 72J. Bibai, P. Savéant, M. Schoenauer, V. Vidal.
  
  An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning, in: ICAPS 2010, R. Brafman, H. Geffner, J. Hoffmann, H. Kautz (editors), AAAI Press, May 2010, p. 15-25.
  
  http://hal.archives-ouvertes.fr/docs/00/45/62/92/PDF/icaps10.pdf