Publications récentes
2020
Bruguière A., Derbré S., Dietsch J., Leguy J., Rahier V., Pottier Q., Bréard D.,
Suor-Cherer S., Viault G.,
Le Ray A.-M., Saubion F., Richomme
P. (2020). MixONat, a software for the dereplication of mixtures
based on 13C NMR spectroscopy. Analytical Chemistry, 92(13):8793-8801.
DOI: https://doi.org/10.1021/acs.analchem.0c00193. Réf. HAL: hal-02862826
Gálvez Ramírez N., Monfroy E., Saubion F., Castro C.
(2020). Improving complex SMT strategies with learning.
International Transactions in Operational Research, :1-25.
URL: https://onlinelibrary.wiley.com/doi/abs/10.1111/itor.12650. DOI: https://doi.org/10.1111/itor.12650. Réf. HAL: hal-02158110
Hénaux V., Goëffon A.,
Saubion F. (2020). Evolving search
trajectories, GECCO '20: Genetic and Evolutionary Computation Conference, Cancún Mexico (France). 101-102.. DOI: https://doi.org/10.1145/3377929.3390025. Réf. HAL: hal-02929622 Hénaux V., Goëffon A.,
Saubion F. (2020). Evolution of Deterministic Hill-climbers, ICTAI 2020 (to appear). Bruguière A., Derbré
S., Dietsch J., Leguy J., Rahier
V., Pottier Q., Saubion F., Richomme
P. (2019). 13C-NMR dereplication of complex mixtures using a custom
software, Journées de l’école doctorale EGAAL, Rennes (France).. Réf. HAL: hal-02871207 Bruguière A., Derbré
S., Dietsch J., Saubion F.,
Richomme P. (2018). 13C-NMR dereplication of compex mixtures:
building a custom search algorithm, 3rd AFERP & STOLON International
Symposium, 18 juillet 2018, Rennes (France).. url: https://sympas3.sciencesconf.org/. Réf. HAL: hal-02521263
2019
Lardeux F., Maturana J., Rodriguez-Tello E., Saubion
F. (2019). Migration policies in dynamic island models. Natural Computing,
18(1)pp 163-179. url: https://link.springer.com/article/10.1007%2Fs11047-017-9660-z. DOI: https://doi.org/10.1007/s11047-017-9660-z. Réf. HAL: hal-02715693
Chambon A., Boureau T., Lardeux F., Saubion F. (2019). Accelerated algorithm for computation of all prime patterns in logical
analysis of data, 8th International, Conference on Pattern Recognition
Applications and Methods (ICPRAM), Prague (République
Tchèque). 1 210-220.. URL: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007389702100220. DOI: https://doi.org/10.5220/0007389702100220. Réf. HAL: hal-02557441
Derbré S., Séro L., Bruguière
A., Blanchard P., Leguy J., Rahier V., Pottier Q., Saubion F., Touré K., Seraphin
D., Sylvie M., Richomme P. (2019). Anti-ageing NPs: screening and identification in mixtures using
13C-NMR., 4th International Symposium: Analytical Chemistry Research &
Development and Quality Control of Health Products., 21 octobre
2019, Bordeaux (France).. Réf. HAL: hal-02863586
Derbré S., Bruguière A., Dietsch J., Leguy J., Rahier V., Bréard D., Suor-Cherer S., Viault G., Ray
A.-M., Saubion F., Richomme
P. (2019). MixONat: Assistance aux analyses déréplicatives
par RMN-13C, Journée Scientifique Biogenouest « Du phénome au métabolome », Angers
(France).. Réf. HAL: hal-02871151
Le Calvar T., Jouault F., Chhel F., Saubion F., Clavreul M. (2019). Intensional View Definition with Constrained
Incremental Transformation Rules, 2019 ACM/IEEE 22nd International Conference
on Model Driven Engineering Languages and Systems Companion (MODELS-C), 15-20 septembre 2019, Munich (Allemagne).
395-402.. DOI: https://doi.org/10.1109/MODELS-C.2019.00061. Réf. HAL: hal-02492143
Le Calvar T., Chhel F., Jouault F., Saubion F. (2019). Toward a Declarative Language to Generate Explorable
Sets of Models, 34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19), 8-12 avril 2019, Limassol (Chypre).. Réf. HAL: hal-01948080
Chambon A., Lardeux F., Saubion F., Boureau T. (2019). Attributes for
Understanding Groups of Binary Data, Pattern Recognition Applications and
Methods:48-70. DOI: https://doi.org/10.1007/978-3-030-40014-9_3. Réf. HAL: hal-02929606
Hénaux V., Goëffon A., Saubion F. (2019). Evolving Fitness Landscapes with Complementary Fitness Functions, Artificial
Evolution. EA 2019:110-120. DOI: https://doi.org/10.1007/978-3-030-45715-0_9. Réf. HAL: hal-02929601
2018
Ben Mansour I., Basseur M., Saubion F. (2018). A Multi-population Algorithm for Multi-Objective Knapsack problem. Applied Soft Computing, 70:814-825. url: https://www.sciencedirect.com/science/article/pii/S1568494618303570. DOI: https://doi.org/10.1016/j.asoc.2018.06.024. Réf. HAL: hal-02715063
Chambon A., Boureau T., Lardeux F., Saubion F. (2018). Logical
characterization of groups of data: a comparative study. Applied
Intelligence, 48(8):2284-2303. URL: https://link.springer.com/article/10.1007%2Fs10489-017-1080-3. DOI: https://doi.org/10.1007/s10489-017-1080-3. Réf. HAL: hal-02516582
Bruguière A., Derbré S., Dietsch
J., Saubion F., Richomme P.
(2018). 13C-NMR dereplication of complex mixtures: building a custom search
algorithm, Journée des doctorants de la SFR QUASAV,
Angers (France).. Réf. HAL: hal-02871210
Galvez Ramirez N., Monfroy E., Saubion
F., Castro C. (2018). Generation and Optimization of SMT Strategies,
Workshop on Optimization and Learning: Challenges and Applications - OLA,
Alicante (Espagne).. URL: https://ola2018.sciencesconf.org/data/pages/Program_OLA_2020.pdf. Réf. HAL: hal-02715061
Galvez Ramirez N., Monfroy E., Saubion
F., Castro C. (2018). Optimizing SMT Solving Strategies by Learning with
an Evolutionary Process, International Conference on High Performance Computing
& Simulation : Pacos
2018, Orléans (France).. URL: https://ieeexplore.ieee.org/document/8514437. Réf. HAL: hal-02715060
Le Calvar T., Chhel F., Jouault F., Saubion F. (2018). Transformation
de Modèles et Contraintes pour l’Ingénierie Dirigée par les Modèles, JFPC2018,
13-15 juin 2018, Amiens (France).. Réf. HAL: hal-01804542
Le Calvar T., Chhel F., Jouault F., Saubion F. (2018). Using
process algebra to statically analyze incremental propagation graphs, 18th
International Workshop in OCL and Textual Modeling, 14 octobre
2018, Copenhague (Danemark).. Réf. HAL: hal-01887900
2017
Cerqueus A., Gandibleux
X., Przybylski A., Saubion
F. (2017). On branching heuristics
for the bi-objective 0/1 unidimensional knapsack problem. Journal of Heuristics. DOI: https://doi.org/10.1007/s10732-017-9346-9. Réf. HAL: hal-01564982
Chambon A., Lardeux F., Saubion F., Boureau T. (2017). Characterization
of biological data, Journées Ouvertes en Biologie,
Informatique & Mathématiques 2017 (JOBIM'17), Lille (France).. url: https://project.inria.fr/jobim2017/fr/. Réf. HAL: hal-02516659
2016
Goëffon A., Lardeux F., Saubion F. (2016). Simulating non-stationary operators in search algorithms. Applied Soft Computing, 38:257-268. url: http://www.sciencedirect.com/science/article/pii/S1568494615005967. DOI: https://doi.org/10.1016/j.asoc.2015.09.024. Réf. HAL: hal-01412601
Cerqueus A., Gandibleux X.,
Przybylski A., Saubion F., Ruzika S. (2016). Branch-and-cut
bi-objectif appliqué au problème du sac-à-dos bi-dimensionnel,
17ème congrès de la société Française de Recherche Opérationnelle et d’Aide à
la Décision (ROADEF 2016), 10-12 février 2016, Compiègne (France).. url: http://roadef2016.utc.fr/. Réf. HAL: hal-01411248
Chambon A., Basseur M., Saubion
F. (2016). Calcul exact d’hypervolume exclusif
pour l’optimisation multi-objectif, Recherche Opérationnelle et Aide à la DEcision Française (ROADEF'16), Compiègne (France).. URL: http://roadef2016.utc.fr/. Réf. HAL: hal-02709503
Gálvez Ramírez N., Hamadi
Y., Monfroy E., Saubion F.
(2016). Evolving SMT Strategies, 28th IEEE International Conference on Tools
with Artificial Intelligence (ICTAI), San Jose (États-Unis).. URL: http://www.ictai2016.com/. Réf. HAL: hal-02709511
Gálvez Ramírez N., Hamadi Y., Monfroy E., Saubion F. (2016). Genetic ProgrammingTowards
Automated Strategies in Satisfiability Modulo Theory, Genetic Programming -
19th European Conference, EuroGP
2016, Porto (Portugal). 9594 230-245.. URL: http://link.springer.com/chapter/10.1007%2F978-3-319-30668-1_15. DOI: https://doi.org/10.1007/978-3-319-30668-1_15. Réf. HAL: hal-01449594
Lardeux F., Saubion F., Maturana J. (2016). Learning and Migration Processes
for Island Models, 28th IEEE International Conference on Tools with Artificial
Intelligence (ICTAI), San Jose (États-Unis).. URL: http://www.ictai2016.com/. Réf. HAL: hal-02709479
Saubion F. (2016). S'adapter pour mieux optimiser : paramétrage
et contrôle des algorithmes évolutionnaires, Colloque sur l'Optimisation et les
Systèmes d'Information, COSI 2016, Sétif (Algérie)..
URL: http://cosi.isima.fr/cosi2016/. Réf. HAL: hal-02709516
2015
Di Tollo G., Lardeux F., Maturana
J., Saubion F. (2015). An experimental study of adaptive control for evolutionary algorithms. Applied Soft Computing, 35:359-372. url: http://www.sciencedirect.com/science/article/pii/S1568494615003658. DOI: https://doi.org/10.1016/j.asoc.2015.06.016. Réf. HAL: hal-01392219
Cerqueus A., Gandibleux X.,
Przybylski A., Ruzika S., Saubion F. (2015). A branch-and-cut
method for the bi-objective bi-dimensional knapsack problem, International
Conference on Multiple Criteria Decision Making MCDM, 2-7 août
2015, Hamburg (Allemagne).. Réf. HAL: hal-01242198
Cerqueus A., Gandibleux X.,
Przybylski A., Ruzika S., Saubion F. (2015). A branch-and-cut method for the
bi-objective bi-dimensional knapsack problem, Workshop Recent Advances in
Multi-Objective Optimization, 19 juin 2015, Nantes
(France).. Réf. HAL: hal-01242177
Chambon A., Boureau T., Lardeux F., Saubion F., Le Saux M. (2015). Characterization of Multiple Groups of Data, 2015 IEEE 27th
International Conference on Tools with Artificial Intelligence (ICTAI), Vietri sul Mare (Italie).. URL:
https://sites.google.com/site/ictai2015italy/. DOI: https://doi.org/10.1109/ICTAI.2015.146. Réf. HAL: hal-01449580
Desport P., Lardeux F., Goëffon
A., Basseur M., Saubion F.
(2015). Empirical Analysis of Operators for Permutation Based Problems, LION
2015: Learning and Intelligent Optimization, 29 mai
2015, LILLE (France).. Réf. HAL: hal-01891521
Lardeux F., Maturana J., Saubion F. (2015). On Migration Policies in Dynamic
Island Models, Artificial Evolution, Lyon (France)..
URL: https://ea2015.inria.fr/. Réf. HAL: hal-02709488
Soria-Alcaraz J. A., Ochoa G., Goëffon
A., Lardeux F., Saubion F.
(2015). Combining Mutation and Recombination to Improve
a Distributed Model of Adaptive Operator Selection, International Conference on
Artificial Evolution (Evolution Artificielle), Lyon
(France). 97-108.. URL: http://link.springer.com/chapter/10.1007/978-3-319-31471-6_8. DOI: https://doi.org/10.1007/978-3-319-31471-6_8. Réf. HAL: hal-01412613