My pubs are available below in their chronological order. I have kind of sorted them with regards to their topic. The color of the dot indicates the topic as follows:

Tutorial :

Machines à noyau : une courte introduction (ou « SVM décryptées », ou « SVMs pour les nuls »)
Data Data Data Data, École Centrale de Lille, Déc. 2012
Tout ce que vous avez toujours voulu savoir sur les systèmes dynamiques non-linéaires sans oser le demander, (only available in french) Seconde édition (avr. 95) (pdf)

More french material on my teaching page on reinforcement learning, data mining, ... (in french only).

Publications, communications, ...

Direct access to a year: 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1992, 1991, 1990, 1989

B. Danglot, Ph. Preux, B. Baudry, M. Monperrus, Correctness Attraction: A Study of Stability of Software Behavior Under Runtime Perturbation, accepted, to appear in Empirical Software Engineering.

2017

G. Papoudakis and Ph. Preux and M. Monperrus, A generative model for sparse, evolving digraphs, Proc. 6th International Conference on Complex Networks and their applications, Springer-Verlag, Studies in Computational Intelligence, Lyon, 2017. draft version, on arxiv, on hal.
V. Musco, M. Monperrus, Ph. Preux, A Large Scale Study of Call Graph-based Impact Prediction using Mutation Testing, Software Quality Journal, 25(3), 921:950, Sep. 2017 (on hal)
C. Z. Felício and K.V.R. Paixão and C. A. Z. Barcelo and Ph. Preux, A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation, Proc. 25th ACM Conference on User Modelling, Adaptation and Personalization (UMAP), Bratislava, Slovekia, July 2017

2016

B. Danglot, Ph. Preux, B. Baudry, M. Monperrus, Correctness Attraction: A Study of Stability of Software Behavior Under Runtime Perturbation, on arxiv, this link for the official paper.
H. Kadri, E. Duflos, Ph. Preux, S. Canu, A. Rakotomamonjy, J. Audiffren, Operator-valued Kernels for Learning from Functional Response Data, Journal of Machine Learning Research, 17(20),1:54, 2016.
A. Khaleghi, D. Ryabko, J. Mary, Ph. Preux, Consistent algorithms for clustering time series, Journal of Machine Learning Research, 17(3), 1:32.
C. Z. Felício, K.V.R. Paixão, G. Alves, S. de Amo, Ph. Preux, Exploiting social information in pairwise preference recommender system, Journal of Information and Data Management, 7(2), pp. 99:115, Aug. 2016
C. Z. Felício, K.V.R. Paixão, C. A. Z. Barcelo, Ph. Preux, Preference-like Networks to Cope with User Cold Start in Recommender Systems, in Proc. 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), IEEE Computer Society, San Jose, Nov. 2016 (on hal)
F. Guillou, R. Gaudel, Ph. Preux, Sequential Collaborative Ranking Using (No-)Click Implicit Feedback, Proc. 23rd International Conference on Neural Information Processing (ICONIP), Springer, LNCS, Kyoto, Oct. 2016
V. Musco, M. Monperrus, Ph. Preux, Mutation-Based Graph Inference for Fault Localization, Proc. 16th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), Oct. 2016 (on hal)
C. Z. Felício, K.V.R. Paixão, C. A. Z. Barcelo, Ph. Preux, Multi-Armed Bandits to Recommend for Cold Start User, Proc. Symposium on Knowledge Discovery, Mining and Learning (KDMILE), Recife, Brazil, Oct. 2016
F. Guillou, R. Gaudel, Ph. Preux, Large-scale bandit recommender systems, Proc. of the Second International Workshop on Machine Learning, Optimization and Big Data (MOD), Springer, LNCS, Aug. 2016 (to appear)
F. Guillou, R. Gaudel, Ph. Preux, Scalable Explore-Exploit Collaborative Filtering, Proc. 20th Pacific Asia Conference on Information Systems (PACIS), Taiwan, June 2016
V. Musco, A. Carette, M. Monperrus, Ph. Preux, A Learning Algorithm for Change Impact Prediction: Experimentation on 7 Java Applications, workshop ACM ICSE/RAISE, May 2016. on the ACM website (on hal).

2015

F. Guillou, R. Gaudel, Ph. Preux, Collaborative Filtering as a Multi-Armed Bandit, NIPS workshop Machine Learning for (e-)Commerce, 2015 (on hal)
V. Musco, A. Carette, M. Monperrus, Ph. Preux, A Learning Algorithm for Change Impact Prediction: Experimentation on 7 Java Applications, aug. 2015, later published at ACM ICSE/RAISE workshop in May 2016
J. Mary, R. Gaudel, Ph. Preux, Bandits and Recommender Systems, Proc. 1st Int'l Workshop on Machine Learning, Optimization and big data (MOD), Springer/LNCS 9432, pp. 325:336, 2015. (on hal)
B. Derbel and Ph. Preux, Simultaneous Optimistic Optimization on the Noiseless BBOB Testbed, Proc. IEEE Congress on Evolutionary Computation (CEC), pp. 2010--2017 , 2015 (accepted version; differs a little from the published version.)
V. Musco and M. Monperrus and Ph. Preux, An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis, Proc. 10th IEEE/ACM International Workshop on Automation of Software Test (AST), associated with ICSE 2015, Florence, May 2015. on hal.

2014

F. Guillou, R. Gaudel, J. Mary, Ph. Preux, User engagement as evaluation: a ranking or a regression problem?, ACM RecSYS challenge 2014 ``User Engagement as Evaluation'' workshop, winner of the challenge (see some pictures here, the official page).
J. Mary, R. Gaudel, Ph. Preux, Bandits Warm-up Cold Recommender Systems, INRIA Research Report 8563, 2014, on hal, on arxiv.
V. Musco and M. Monperrus and Ph. Preux, A Generative Model of Software Dependency Graphs to Better Understand Software Evolution, on arxiv, and on hal.
Ph. Preux, R. Munos, M. Valko, Bandits attack function optimization, Proc. IEEE Congress on Evolutionary Computation (CEC), July 2014. This paper is copyrighted by IEEE. (on hal) (on ieeeXplore.)
O. Nicol, J. Mary, Ph. Preux, Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques, Proc. ICML, JMLR W&CP, 32Beijing, China, Jun 2014. (supplementary material)
B. Baldassari and Ph. Preux, Understanding software evolution: the Maisqual Ant data set, in Proc. 11th Working Conference on Mining Software Repositories (MSR), 424-427, ACM Press, 2014
B. Baldassari, F. Huynh, Ph. Preux, De l'ombre à la lumière : plus de visibilité sur l'Éclipse, Proc. EGC, Rennes, Jan. 2014 (in French)

2013

H. Kadri, M. Ghavamzadeh, Ph. Preux, A Generalized Kernel Approach to Structured Output Learning, Proc. ICML, JMLR W&CP 28(1):471-479, Atlanta, Jun. 2013 (available on Arxiv, also known as INRIA Research Report 7956 at this entry).

2012

H. Kadri, A. Rakotomamonjy, F. Bach, Ph. Preux, Multiple Operator-valued Kernel Learning, Proc. NIPS, pp. 2429-2438, 2012, also known as INRIA Research Report 7900, available on Arxiv (25 % acceptance rate)
G. Dulac-Arnold, L. Denoyer, Ph. Preux, P. Gallinari, Sequential Approaches for Learning Datum-Wise Sparse Representations, in Machine Learning, 89(1-2), 87-122, 2012.
G. Dulac-Arnold, L. Denoyer, Ph. Preux, P. Gallinari, Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization, proceedings of the ECML-PKDD 2012, Springer, LNCS, 7524, 180:194, Sep. 2012, early draft (Feb. 2012) on Arxiv, also presented at the 10thEuropean Workshop on Reinforcement Learning
H. Kadri, M. Ghavamzadeh, Ph. Preux, A Generalized Kernel Approach to Structured Output Learning, Feb. 2012, available on Arxiv, also known as INRIA Research Report 7956 (accpted at ICML'2013).
G. Dulac-Arnold, L. Denoyer, Ph. Preux, P. Gallinari, Apprentissage par renforcement rapide pour des grands ensembles d'actions en utilisant des codes correcteurs d'erreur, JFPDA et CAP, Nancy, Mai 2012
S. Girgin and J. Mary and Ph. Preux and O. Nicol, Managing Advertising Campaigns - an Approximate Planning approach, in Frontiers of Computer Science, 6(2), 209:229, 2012.
O. Nicol and J. Mary and Ph. Preux, ICML Exploration & Exploitation challenge: Keep it simple!, in Journal of Machine Learning Research W&CP, 26, 62:85, 2012.
A. Khaleghi, D. Ryabko, J. Mary, Ph. Preux, Online clustering of processes, in Proc. 15th Conf. on Ai & Stats, Journal of Machine Learning Research W&CP, 22, 601-609, 2012

2011

G. Dulac-Arnold, L. Denoyer, Ph. Preux, P. Gallinari, Datum-wise classification. A sequential Approach to sparsity in Machine Learning and Knowledge Discovery in Databases (aka, Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)), Springer, LNAI, vol. 6911, 375-390, Athens, Greece, Sep. 2011 (20 % acceptance rate), on arxiv, on Springer website.
H. Kadri, A. Rabaoui, Ph. Preux, E. Duflos, A. Rakotomamonjy, Functional Regularized Least Squares Classification with Operator-Valued Kernels, in Proc. 28th International Conference on Machine Learning (ICML), Seattle, ACM Press, 2011 (26 % acceptance rate)
H. Kadri, Ph. Preux, E. Duflos, S. Canu, Multiple functional regression with both discrete and continuous covariates, in F. Ferraty (ed), Recent Advances in Functional Data Analysis and Related Topics, Physica-Verlag/Springer, Contributions to Statistics series, 189:195, 2011, Proc. 2nd International Workshop on Functional and Operatorial Statistics (IWFOS), Santander, June 2011 (paper available on the Springer website).
H. Kadri, Ph. Preux, E. Duflos, Régression ridge à noyau pour des variables explicatives et d'intérêts fonctionnelles (draft), in Proc. 43e Journées de statistiques (JDS), Mai 2011
H. Kadri, E. Duflos, Ph. Preux, Learning vocal tract variables with multi-task kernels, in Proc. 36th International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 821-826, Prague, Czech Republic, May 2011
H. Kadri, Ph. Preux, E. Duflos, S. Canu, Operator-Valued Kernels for Nonparametric Operator Estimation, INRIA research report RR-7607, April 2011

2010

S. Girgin, J. Mary, Ph. Preux, O. Nicol, Advertising Campaigns Management: Should We Be Greedy?, in Proc. 10th IEEE International Conference on Data Mining (ICDM), pp. 821-826, Sydney, Australia, Dec. 2010 (pdf) (short (6 pages) paper: acceptance rate < 20 % for long + short papers), extended version available as the INRIA research report 7388 (Abstract here.)
S. Girgin, J. Mary, Ph. Preux, O. Nicol, Planning-based Approach for Optimizing the Display of Online Advertising Campaigns, poster at the NIPS workshop on Machine Learning in Online ADvertising (MLOAD 2010)
Hachem Kadri, Philippe Preux, Emmanuel Duflos, Stéphane Canu, Manual Davy, Function-Valued Reproducting Kernel Hilbert Spaces and Applications, poster at the NIPS workshop on Tensors, Kernels, and Machine Learning (TKML 2010)
M. Loth, Ph. Preux, The Iso-lambda Descent Algorithm for the LASSO, in Proc. of ICONIP, Neural Information Processing. Theory and Algorithms, Springer LNCS 6443, pp. 454-461, Sydney, Nov. 2010 (31 % acceptance rate, 146 out of 470) (Abstract here.)
S. Delepoulle, F. Rousselle, Ch. Renaud, Ph. Preux, A comparison of two machine learning approaches for Photometric Solids Compression, in Proc. of the 13th Int'l Conf. on Computer Graphics and Artificial Intelligence (3IA), 132:142, Athens, Greece, May 2010. Also selected for publication in D. Plemenos, G. Miaoulis (Eds), Intelligent Computer Graphics 2010, Springer, Studies in Computational Intelligence, Vol. 321, 145:164 (pdf of the 3IA conf. version) (paper on Springer website.)
H. Kadri, E. Duflos, Ph. Preux, S. Canu, M. Davy, Nonlinear functional regression: a functional RKHS approach, (also available here) in Proc. of the 13th Int'l Conf. on Artificial Intelligence and Statistics (AI & Stats), JMLR: W&CP 9, pp. 374:380, Chia Laguna, Italy, May 13-15, 2010. (orally presented paper: acceptance rate is 24 out of 308 submissions, less than 8 % thus.)
V. Gabillon, J. Mary, Ph. Preux, Affichage de publicités sur des portails web, in Proc. 10e Extraction, Gestion des Connaissances (EGC), Tunisie, 2010 (pdf) This paper received a best paper award. (long paper: acceptance rate < 25 % for long papers) (More details here.)

2009

M. Loth, Ph. Preux, S. Delepoulle, Ch. Renaud, ECON: a Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation, in Proc. Int'l Conf. on Machine Learning and Applications (ICML-A), Miami, USA, 2009 (a draft is available here) An implementation of the algorithm (ECON) is available by clicking on this link. (More details here.)
H. Kadri, E. Duflos, M. Davy, Ph. Preux, S. Canu, A General Framework for Nonlinear Functional Regression with Reproducing Kernel Hilbert Spaces, INRIA Research Report 6809, 2009. This paper was improved, and published in the proc. of the AI & Stats'2010 conf.
S. Delepoulle, Ch. Renaud, Ph. Preux, Light Source Storage and Interpolation for Global Illumination: a neural solution, in Intelligent Computer Graphics, D. Plemenos and G. Miaoulis eds, Springer 2009, Studies in Computational Intelligence series, Vol. 240, 87-104 (on Springer website.)
S. Delepoulle, Ch. Renaud, Ph. Preux, Photometric compression and interpolation for light source repreentation, in Proc. 12th Int'l Conf. on Computer Graphics and Artificial Intelligence (3IA), Athens, Greece, May 2009 (pdf available here)
M. Loth, Ph. Preux, Automatic synthesis of sparse neural networks using l1 regularization. This paper was rejected at ICANN 2009. I found interesting though to put it on my webpage. I found particularly interesting the reviews we got; so I publish them completely on the web, and I allow myself to review the reviews. An updated, and published, version of this paper (in particular, the experimental results have been much improved) is available here, in the ICMLA'2009 Proceedings.
M. Loth, Ph. Preux, l1 regularization path for functional features, poster at the Pascal Workshop ``Sparsity in Machine Learning and Statistics'', Cumberland Lodge, UK, Apr. 2009 (1 page abstract, and the poster)
Ph. Preux, S. Girgin, Sparsity in Adaptive Control, poster at the Pascal Workshop ``Sparsity in Machine Learning and Statistics'', Cumberland Lodge, UK, Apr. 2009 (1 page abstract, and the poster)
Ph. Preux, S. Girgin, M. Loth, Feature Discovery in Approximate Dynamic Programming, in Proc. Approximate Dynamic Programming and Reinforcement Learning (ADPRL), IEEE Press, 109:116, Nashville, Mar-Apr. 2009 (draft available here, final version on IEEExplore) (More details here.)
M. loth, Ph. Preux, The Equi-Correlation Network: a New Kernelized-LARS with Automatic Kernel Parameters Tuning, INRIA Research Report 6794, 2008 (pdf available here, which is a little more up-to-date than the version available on HAL; the ICML-A paper provides more recent results).
S. Girgin, M. Loth, R. Munos Ph. Preux, D. Ryabko, (eds) Recent Advances in Reinforcement Learning, Springer, Lecture Notes in Artificial Intelligence, vol. 5323, Feb. 2009

2008

S. Girgin, Ph. Preux, Basis Function Construction in Reinforcement Learning using Cascade-Correlation Learning Architecture, in Proc. of the International Conference on Machine Learning and Applications (ICML-A), 75--82, IEEE Press, La Jolla, USA, Dec. 2008 (the paper is copyrighted by IEEE Press, available on IEEExplore, an early draft is available. Despite having the same title as the following paper, these two papers are not the same; the ICML-A paper is more thorough.)
S. Girgin, Ph. Preux, Incremental basis function expansion in reinforcement learning using cascade-correlation networks, in Proc. of the ECAI ERLARS workshop, Patras, Greece, Jul 2008 (see the January 2008 INRIA research report INRIA research report RR-6505)
S. Girgin, Ph. Preux, Basis Expansion In Natural Actor Critic Methods, in Girgin et al., Recent Advances in Reinforcement Learning, Springer, Lecture Notes in Artificial Intelligence, vol. 5323, pp. 110-123, 2009. (paper on Springer website.) (More details here.)
S. Girgin, Ph. Preux, Feature discovery in reinforcement learning using genetic programming, in Proc. 11th European Conference on Genetic Programming (EUROGP), Mar 2008 See the associate INRIA research report. Best paper award nominee, see here (paper on Springer website.

2007

M. Loth, Ph. Preux, M. Davy, A unified view of TD algorithms - Introducing full-gradient TD and Equi-gradient descent TD, in Proc. European Symposium on Artificial Neural Networks (ESANN), Apr. 2007. on arxiv.
M. Loth, M. Davy, Ph. Preux, Sparse temporal difference learning using LASSO, Oct 2006 draft on-line, final version in the proc. of the IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, pp. 352:359, available on IEEExplore, Hawaii, 2007 (More details here.)
Ph. Preux, S. Delepoulle, R. Coulom (eds), Prise de décision séquentielle, numéro spécial de la revue d'intelligence artificielle (RIA), volume 21, numéro 1, jan. 2007

2006

F. Montagne, Ph. Preux, S. Delepoulle, Introducing interactive help for reinforcement learners, Workshop on planning, learning and monitoring with uncertainty and dynamic worlds, ECAI Workshop, Aug 2006
M. Loth, M. Davy, R. Coulom, Ph. Preux, Equi-gradient Temporal Difference Learning, Kernel methods for reinforcement learning, ICML Workshop, June 2006 (More details here.)
M. Loth, R. Coulom, M. Davy, Ph. Preux, Least Angle Temporal Difference Learning: LATD(λ), Journées Francophones Planification, Décision, Apprentissage, Toulouse, France, May 2006 (In French)

2005

O. Ambrym-Maillard, R. Coulom, Ph. Preux, Parallelization of the TD(λ) learning algorithm, European Workshop on reinforcement Learning, Naples, Oct 2005
N. Langlois, R. Coulom, Ph. Preux, Decomposing a value function into a sum of neural networks, European Workshop on reinforcement Learning, Naples, Oct 2005

2004

Ph. Preux, S. Delepoulle, J-Cl. Darcheville, A Generic architecture for Adaptive Agents Based on Reinforcement Learning, Information Sciences Journal, 161, 37--55, Elsevier, 2004. The on-line version is a draft.

2003

F. Montagne, S. Delepoulle, Ph. Preux, A critic-critic architecture to combine reinforcement and supervised learnings, European Workshop on reinforcement Learning, Nancy, Sep 2003
R. Duboz, É. Ramat, Ph. Preux, Scale transfer modeling: using emergent computation for coupling an ordinary differential equation system with a reactive agent model, Systems Analysis Modeling and Simulation, 43(6), pp. 793:814, Jun 2003
R. Duboz, F. Amblard, É. Ramat, G. Deffuant, Ph. Preux, Individual-based model to enrich an aggregate model, Model to model workshop , Mar-Apr 2003, Marseille, France
R. Duboz, F. Amblard, É. Ramat, G. Deffuant, Ph. Preux, Utiliser les modèles indidividus-centrés comme laboratoires virtuels pour identifier les paramètres d'un modèle agrégé, Proc. MOSIM 2003

2002

É. Ramat, Ph. Preux, "Virtual Laboratory Environment" (VLE): a software environment agent and object oriented for modeling and simulation of complex systems, Simulation, Practice and Theory , 2002
Ph. Preux, Propagation of Q-values in Tabular TD(λ), European Conf. on machine Learning (ECML), Springer-Verlag, LNAI 2430, Aug. 2002 ( pdf) (© Springer-Verlag) (paper on Springer website.)
S. Delepoulle, Ph. Preux, J-C. Darcheville, Multi-segmented models to simulate vertebrate organisms, Société de biomécanique, Archives of physiology and biochemistry, vol 110, Valenciennes, 2002.
J. Jozéfowiec, J-Cl. Darcheville, Ph. Preux, Using Markovian Decision Problems to Analyze Animal Performance in Random and Variable Ratio Schedules of Reinforcement, SAB 7, From Animals to Animats, Edinburgh, Scotland, Aug 2002
J. Jozéfowiec, J-Cl. Darcheville, Ph. Preux, Operant conditioning as a Markovian decision problem: application to variable and random ratio schedules of reinforcement, poster at the Symposium for the Quantitative Analyses of Behavior, Toronto, Canada, May 2002
Ph. Preux, S. Delepoulle, J-Cl. Darcheville, Modélisation du comportement animal et apprentissage par renforcement, rapport interne LIL-01-02, Oct. 2001 (pdf)

2001

S. Delepoulle, Ph. Preux, J-C. Darcheville, L'apprentissage par renforcement comme résultat de la sélection, Extraction des connaissances et apprentissage, 1(3), 9:30, 2001 (pdf)
S. Delepoulle, Ph. Preux, J-C. Darcheville, Learning as a consequence of selection, Artificial Evolution, Oct 2001, Le Creusot, France, Springer-Verlag, LNCS (pdf) (© Springer-Verlag) (paper on Springer website.)
Ph. Preux, Ch. Cassagnabère, S. Delepoulle, J-C. Darcheville, A non supervised multi-reinforcement agents architecture to model the development of behavior of living organisms European Workshop on Reinforcement Learning (EWRL-5), Sep 2001, Utrecht, Pays-Bas (pdf)
R. Duboz, É. Ramat, Ph. Preux, Towards a coupling of continuous and discrete formalisms in ecological modelling - Influences of the choice of algorithms and result, European Simulation Symposium, Oct 2001, Marseille, France (doc)
S. Delepoulle, Ph. Preux, J-C. Darcheville, Dynamique de l'interaction, Modèles Formels de l'Interaction, Mai 2001, Toulouse (pdf)
S. Delepoulle, Ph. Preux, J-C. Darcheville, Selection of Behavior in Social Situations - Application to the development of coordinated movements, First European Workshop on Evolutionary Learning, EuroGP 2001, Springer-Verlag, LNCS Avr 2001, Como, Italie (pdf) (© Springer-Verlag)(paper on Springer website.)
É. Ramat, Ph. Preux, Virtual Laboratory Environment (VLE) : un environnement multi-agents et objets pour la modélisation et la simulation de systèmes complexes, MOSIM Avr 2001, Troyes, France (doc)
Ph. Preux, S. Delepoulle, J-C. Darcheville, Selection of behaviors by their consequences in the human baby, software agents, and robots, Computational Biology, Genome Information Systems and Technology Mar 2001, Durham, USA (pdf)

2000

S. Delepoulle, Ph. Preux, J-C. Darcheville, Simulation of social behaviors: why and how?, M. J'al. of Behavior Analysis, 26(2), 191:209, Sep 2000
J. Josefowiecz, J-Cl. Darcheville, Ph. Preux, An operant approach to the prisoners' dilemma: indirect reinforcement of controlling behaviors in simple reinforcement learning agents allows the emergence of stable cooperation, M. J'al. of Behavior Analysis, 26(2), 211:227, Sep 2000
E. Ramat, Ph. Preux, Virtual Laboratory Environment (VLE): un environnement multi-agents pour la modélisation et la simulation d'écosystèmes, Systèmes Multi-agents - Méthodologie, technologie et expériences (JFIADSMA 2000), Hermès, pp. 252:258, Septembre 2000
S. Delepoulle, Ph. Preux, J-Cl. Darcheville, Un système coopératif pour la simulation comportementale. Application au contrôle d'un bras mobile, Neurosciences et sciences de l'ingénieur, Rennes, France, Septembre 2000 (pdf)
S. Delepoulle, J-Cl. Darcheville, Ph. Preux, Cooperation in dependent situation: experiment on dyads, European Meeting on the Experimental Analysis of Behabior, Amiens, France, Juillet 2000
L. Seuront, E. Ramat, Ph. Preux, Y. Lagadeuc, An Individual-Based Approach of Zooplankton Behavior in Microscale Phytoplankton Patches, American Society for Limnology and Oceanography Annual Meeting, Juin 2000, Copenhague, Danemark
Y. Lagadeuc, V. Gentilhomme, F. Lizon, L. Seuront, Ph. Preux, E. Ramat, J-C. Poggiale, Vers une étude des transferts d'échelles en écologie planctonique, workshop ressources aquatiques : modélisation, contrôle, effets physiques et océanographie, Mai 2000, Marrakech

1999

Ph. Preux, E-G. Talbi, Towards Hybrid Evolutionary Algorithms, International Transactions in Operational Research, vol. 6, 557:570, 1999 (© Elsevier) pdf draft version
S. Delepoulle, Ph. Preux, J-Cl. Darcheville, Evolution of cooperation within a behavior-based perspective, Evolution Artificial, Springer-Verlag, Lecture Notes in Computer Science 1829, 2000 (pdf) (© Springer-Verlag) paper on Springer website.)
L. Seuront, F. Schmitt, Y. Lagadeuc, E. Ramat, Ph. Preux, Turbulence intermittency and small-scale phytoplankton patchiness: effects on plankton trophodynamics, XXIV General Assembly of the European Geophysical Society, Den Haag, The Netherlands, Avril 1999
Ph. Preux, D. Robilliard, C. Fonlupt, E-G. Talbi, V. Bachelet, Reaching summits is not wandering, or, Getting insight into problem landscapes to go higher, faster, Technical Report LIL-99-5, Jan 1999 (pdf)
Yvan Lagadeuc, Laurent Seuront, Eric Ramat, Philippe Preux, Pascal Pitiot, Vanessa Denis, Laurent Falk, Hervé Vivier, Microscale turbulence intermittency and zooplankton dynamics: how to include behavioral components? Technical Report LIL-99-4, Fév 1999
Eric Ramat, Philippe Preux, Laurent Seuront, Yvan Lagadeuc, Multi-agent modeling of the physical/biological coupling - A case study in marine biology, Technical Report LIL-99-3, Fév 1999 (pdf)
Ph. Preux, D. Robilliard, C. Fonlupt, Simplicity can meet efficiency - The case of the TSP, (1 page abstract) Twelfth Meeting of the European Chapter on Combinatorial Optimization, Bendor, Mai 1999 (pdf)
Ph. Preux, D. Duvivier, Creating gradient to help local search algorithm - Application to tabu search for the simple Job-Shop-Scheduling Problem, (1 page abstract) Twelfth Meeting of the European Chapter on Combinatorial Optimization, Bendor, Mai 1999 (pdf)
C. Fonlupt, D. Robilliard, Ph. Preux, E-G. Talbi, "Fitness Landscape and Performance of Meta-Heuristics", in Meta-Heuristics - Advances and Trends in Local Search Paradigms for Optimization, Stefan Voss, Silvano Martello, Ibrahim Osman, Catherine Roucairol (eds), chap. 18, Kluwer Academic Press, 255-266, 1999 (pdf)
S. Delepoulle, Ph. Preux, J-Cl. Darcheville, Coopération en situation d'interaction minimale : quelle simulation ? Colloque ACCION "L'interdisciplinarité en sciences de la cognition", Marseille, Jan 1999
Ph. Preux, Réflexions sur quelques systèmes complexes et leur dynamique, mémoire d'habilitation à diriger les recherches, ULCO, Calais, Jan 1999

1998

D. Duvivier, Ph. Preux, C. Fonlupt, D. Robilliard, E-G. Talbi, The fitness function and its impact on Local Search Methods, IEEE Systems, Man, and Cybernetics, La Jolla, USA, Oct. 1998 (pdf)
C. Fonlupt, D. Robilliard, Ph. Preux, A Bit-Wise Epistasis Measure for Binary Search Spaces PPSN 98, Amsterdam, Springer-Verlag, LNCS, Oct 1998 (pdf) (© Springer-Verlag)
E. Ramat, Ph. Preux, L. Seuront, Y. Lagadeuc, Modélisation et simulation multi-agents en biologie marine - Étude du comportement du copépode, Modèles et Systèmes Multi-Agents pour la Gestion de l'Environnement et des Territoires (SMAGET'98), Clermont-Ferrand, Oct 1998 (pdf)
J. Joséfowicz, J-C. Darcheville, Ph. Preux, L'émergence de comportements de contrôle chez des agents sélectionnistes leur permet de résoudre le dilemme du prisonnier, Journées Francophones d'Apprentissage, 174-185, Arras, Mai 1998
S. Delepoulle, Ph. Preux, J-C. Darcheville, Répartition des tâches : coopération et apprentissage par renforcement, Journées Francophones d'Apprentissage, 201-204, Arras, Mai 1998
V. Bachelet, E-G. Talbi, Ph. Preux, Diversifying Tabu Search by Genetic Algorithms, 1998, INFORMS/CORS 1998, Montreal, Canada
C. Fonlupt, P. Preux, D. Robillard, E-G. Talbi, Paysages des problèmes NP-durs et métaheuristiques, 1er congrès "Recherche Opérationnelle et Aide à la décision" (ROAD-F), Paris, Jan 1998
D. Duvivier, Ph. Preux, Impact de la fonction objectif sur les performances des algorithmes itératifs de recherche locale, 1er congrès "Recherche Opérationnelle et Aide à la décision" (ROAD-F), Paris, Jan 1998
V. Bachelet, Z. Hafidi, Ph. Preux, E-G. Talbi, Vers la coopération de métaheuristiques parallèles, Calculateurs Parallèles, Réseaux et Systèmes Répartis, 10(2), 211-223, Avril 1998 (pdf)

1997

Ph. Preux, D. Robilliard, C. Fonlupt, "Fitness Landscape Of Combinatorial Problems And The Performance Of Local Search Algorithms", Rapport interne LIL-97-13, Nov 1997 (pdf)
C. Fonlupt, D. Robilliard, Ph. Preux, "Fitness Landscape and the Behavior of Heuristics", Proc. Evolution Artificielle'97 (pdf)
B. Cuvelier, C. Cambier, Ph. Preux, Studying adaptation with Echo, European Conference on Artificial Life (ECAL'97), Aug. 97 (pdf)
C. Fonlupt, D. Robilliard, Ph. Preux "Preventing Premature Convergence via Cooperating Genetic Algorithms" Proc. Mandel'97, Brno, Czeck Republic, June 1997 (pdf)
V. Bachelet, Ph. Preux, E-G. Talbi, "The Landscape of the Quadratic Assignment Problem and Local Search Methods", (1 page) Tenth Meeting of the European Chapter on Combinatorial Optimization, Teneriffe, Canary Islands, May 1997 (pdf)
Ph. Preux, D. Robilliard, C. Fonlupt "Fitness Landscape And The Performance Of Local Search Algorithms", (1 page) Tenth Meeting of the European Chapter on Combinatorial Optimization, Teneriffe, Canary Islands, May 1997 (pdf)
C. Cambier, E. Perrier, J-P. Treuil, Ph. Preux, "Action Physique et géométrique. Contribution a une reflexion sur l'utilisation des processus physiques. Application RIVAGE", Poster aux Journées Francaise IAD et SMA, Sophia-Antipolis, France, Avril 1997
C. Fonlupt, Ph. Preux, E-G. Talbi, "Paysages adaptatifs des problemes NP-durs et performance des meta-heuristiques", (in french) Feb. 97
D. Duvivier, Ph. Preux, C. Fonlupt, D. Robiliard, E-G. Talbi, "The fitness function and its impact on Local Search Methods", Rapport interne LIL-97-4, Fév. 97, mis à jour Sep. 97 (pdf)
C. Fonlupt, D. Robilliard, Ph. Preux, "Some Results on the structure of the TSP and its Search Space", Technical report LIL-97-3, Jan 97
C. Fonlupt, D. Robilliard, Ph. Preux, "A comparison of the 2-opt-move and the city-swap operators for the TSP", Technical report LIL-97-2, Jan. 1997

1996

D. Duvivier, Ph. Preux, E-G. Talbi, "Climbing-Up NP-Hard Hills", Proc. Parallel Problem Solving from Nature'96, Springer-Verlag, Lecture Notes in Computer Science, Berlin, Sep. 1996 (pdf) (© Springer-Verlag)
V. Bachelet, Ph. Preux, E-G. Talbi, "Parallel Hybrid Meta-Heuristics: Application to the Quadratic Assignment Problem", Proc. Parallel Optimization Colloquium, Versailles, Mar. 1996 (pdf)
D. Duvivier, Ph. Preux, E-G. Talbi, "Genetic Algorithms Applied to the Job-shop Scheduling Problem", Proc. FUCAM'96, Mons, Belgique, Sep. 1996 (pdf)

1995

D. Duvivier, Ph. Preux, E-G. Talbi, "Algorithmes génétiques parallèles pour l'optimisation : application aux problèmes de job-shop et d'affectation quadratique", Proc. Francoro'95, Mons, Belgique, Jun. 1995
D. Duvivier, Ph. Preux, E-G. Talbi, "Parallel Genetic Algorithms for Optimization and Application to NP-Complete Problem Solving", Proc. CCS'95, Brest, France, Jui. 1995
Ph. Preux, E-G. Talbi, "Assessing the Evolutionary Algorithm Paradigm to Solve Hard Problems", Technical Report LIL-95-4, (pdf)
Ph. Preux, E-G. Talbi, "Assessing the Evolutionary Algorithm Paradigm to Solve Hard Problems", Proc. Workshop on Studying and Solving Really Hard Problems, Constraint Processing'95, Marseille, (Sep. 1995) This is a summary of pub. LIL-95-4 (pdf)
D. Duvivier, Ph. Preux, E-G. Talbi, "Stochastic Algorithms for Optimization and Application to Job-Shop-Scheduling", Technical Report LIL-96-5, Sep 1995 (pdf)

1994

Ph. Preux, "Etude de l'uniformisation de la population des algorithmes génétiques", (in french) Proc. Evolution Artificielle'94, Toulouse (in french), (Sep. 94) (pdf)
Ph. Preux, "A study of population uniformization in GAs" Proc. of the workshop on applied genetic and other evolutionary techniques, ECAI'94, Amsterdam, The Netherlands (Aug 1994) (pdf)
Ph. Preux, "Les algorithmes évolutifs", (in french) Technical report LIL-94-1, Second edition (oct. 95) (pdf)

While working on my PhD and a bit later, I was with the Laboratoire d'Informatique Fondamentale de Lille, at the Université de Lille 1. There, I studied vector supercomputers, their architecture, and supercompilers (compilers for supercomputers). Below, there is the list of publications related to this phase of my life. I've stopped working on these things for a very long time... These are not available on this page.

1992

J-L. Dekeyser, Ph. Marquet, Ph. Preux, "Load-Store Dependence and Data-Parallel Code Generation", CONPAR 92/VAPP V, pp. 805--806 L. Bouge, M. Cosnard, Y. Robert, D. Trystram (eds), 1992, Lyon, France, Springer-Verlag, Lecture Notes in Computer Science, vol 634
J-L. Dekeyser, Ph. Marquet, Ph. Preux, "A Multi-Level Environment for Data-Parallel Code Generation", Proc. European Workshops on Parallel Computing, 1992, Wouter Joosen, Elie Milgrom (eds), pp. 252--255, IOS Publisher, Barcelona, Spain
M.T. Kechadi, -L. Dekeyser, Ph. Marquet, Ph. Preux, "Performance improvement for vector pipeline multiprocessor systems using a disordered execution model", poster at the ISCA, 1992, Australia, ACM SIGARCH News, 20(2), pp. 433

1991

J-L. Dekeyser, M. Tahar Kechadi, Ph. Marquet, Ph. Preux, "Disordered Vector Pipelined Processor", Proc. ISMM Workshop on Parallel Computing, pp. 36--39, 1991 Trani, Italie
J-L. Dekeyser, Ph. Marquet, Ph. Preux, "PARTNER: An Environment for Parallel Scientific Computing", Proc. ISMM Workshop on Parallel Computing, pp. 288--291, Trani, Italie, 1991
J-L. Dekeyser, Ph. Marquet, Ph. Preux, "LSD2: An Embedded Language for Massively Parallel and Vector Pipeline Programming", Proc. Parallel Computing'91, London
Ph. Preux, MAD : une machine virtuelle vectorielle - Conséquences sur les architectures vectorielles, PhD dissertation, Lille, Jan 1991

1990

J-L. Dekeyser, Ph. Marquet, Ph. Preux, "DEVIL: An Intermediate Vector Language - Definition and Implementation", Proc. Int'l Workshop on Compilers for Parallel Computers, 1990, pp. 273--284, Paris
J-L. Dekeyser, Ph. Marquet, Ph. Preux, Vector Addressing Processor for Direct and Indirect Accesses, Microprocessing and Microprogramming, 29(1), 657:664, 1990
J-L. Dekeyser, Ph. Marquet, Ph. Preux, EVA: an Explicit Vector lAnguage. An Alternative Language to Fortran 90 (former 8x), ACM SIGPLAN Notices, 25(8)52:71, Aug. 1990 Paris
J-L. Dekeyser, Ph. Marquet, Ph. Preux, "EVA: An Explicit Vector Language", Proc. 10 SCCC Int'l Conf. on Computer Science, 1990, Santiago, Chili, pp. 233--244

1989

J-L. Dekeyser, Ph. Preux, "Indirect Memory Decoding for Vector Accesses", Proc. of the 1989 Int'l Symp. on Computer Architecture and Digital Signal Processing, 1989, pp. 293--298, Hong-Kong