Nuestras publicaciones
Algunas revistas/libros/congresos en las que el grupo ha publicado
Artículos de revistas (seleccionados):
2024
Matías Gabriel Rojas, Ana Carolina Olivera, Pablo Javier Vidal. (2024). 'A genetic operators-based Ant Lion Optimiser for training a medical multi-layer perceptron', Applied Soft Computing, 111192. https://doi.org/10.1016/j.asoc.2023.111192. Código reproducible en https://doi.org/10.24433/CO.0341723.v1
2023
Matías Gabriel Rojas, Ana Carolina Olivera, Jessica Andrea Carballido, and Pablo Javier Vidal. (2023). 'Memetic micro-genetic algorithms for cancer data classification'. Intelligent Systems with Applications, 17:200173. ISSN 2667-3053.https://doi.org/10.1016/j.iswa.2022. 200173
Millán, E. N., Planes, M. B., Urbassek, H. M., & Bringa, E. M. (2023). A Monte Carlo code for the collisional evolution of porous aggregates (CPA). Astronomy and Astrophysics, 672, A50. https://doi.org/10.1051/0004-6361/202243069
Yannibelli, V., Pacini, E., Monge, D. A., Mateos, C., Rodriguez, G., Millán, E., & Santos, J. R. (2023). An In-depth Benchmarking of Evolutionary and Swarm Intelligence Algorithms for Autoscaling Parameter Sweep Applications on Public Clouds. Scientific Programming, https://doi.org/10.1155/2023/8345646
2022
Enrique Gabriel Baquela and Ana Carolina Olivera. (2022) 'Hybridization of NSGA-II and MILP for optimization of the location of electric-scooters sharing-stations'. IEEE Latin America Transactions, 20(11):2381–2387. http://doi.org/10.1109/TLA.2022.9904763
Ana Carolina Olivera and Pablo Javier Vidal. (2022). 'A multi-objective swarm approach with pedestrians spotlight in traffic urban optimisation'. IEEE Latin America Transactions, 20(11):2363–2370. http://doi.org/10.1109/TLA.2022.9904761.
Rojas, M. G., Ana Carolina Olivera and Vidal, P. J. (2022), 'Optimising Multilayer Perceptron weights and biases through a Cellular Genetic Algorithm for medical data classification', Array, 14, 100173. https://doi.org/10.1016/j.array.2022.100173
López-Noreña, A. I., Berná, L., Tames, M. F., Millán, E. N., Puliafito, S. E., & Fernandez, R. P. (2022). Influence of emission inventory resolution on the modeled spatio-temporal distribution of air pollutants in Buenos Aires, Argentina, using WRF-Chem. Atmospheric Environment, 269, 118839. https://doi.org/10.1016/j.atmosenv.2021.118839
2021
Planes, M. B., Millán, E. N., Urbassek, H. M., & Bringa, E. M. (2021). Collisions between micro-sized aggregates: role of porosity, mass ratio, and impact velocity. Monthly Notices of the Royal Astronomical Society, 503(2), 1717-1733. https://doi.org/10.1093/mnras/stab610
Bertoldi, D. S., Millán, E. N., & Guillermet, A. F. (2021). Phenomenology of the heating, melting and diffusion processes in Au nanoparticles. Physical Chemistry Chemical Physics, 23(2), 1298-1307. https://doi.org/10.1039/D0CP04442C
2020
Rojas, M. G., A. C. Olivera, Carballido, J. A. and Vidal, P. J. (2020), 'A Memetic Cellular Genetic Algorithm for Cancer Data Microarray Feature Selection', IEEE Latin America Transactions 18(11), 1874--1883.https://doi.org/10.1109/TLA.2020.9398628
Planes, M. B., Millán, E. N., Urbassek, H. M., & Bringa, E. M. (2020). Influence of porosity on high-velocity mass-asymmetric collisions. Monthly Notices of the Royal Astronomical Society, 492(2), 1937-1946. https://doi.org/10.1093/mnras/stz3631
Aparicio, E., Millán, E. N., Ruestes, C. J., & Bringa, E. M. (2020). FoamExplorer: Automated measurement of ligaments and voids for atomistic systems. Computational Materials Science, 185, 109942. https://doi.org/10.1016/j.commatsci.2020.109942
Mazzolari, A. C., Millán, E. N., Bringa, E. M., & Vázquez, D. P. (2020). Modeling habitat suitability and spread dynamics of two invasive rose species in protected areas of Mendoza, Argentina. Ecological Complexity, 44, 100868. https://doi.org/10.1016/j.ecocom.2020.100868
Rim, D., Millán, E. N., Planes, B., Bringa, E. M., & Moyano, L. G. (2020). Cluster analysis for granular mechanics simulations using Machine Learning Algorithms. Entre Ciencia e Ingeniería, 14(28), 82-87.
Parlanti, T. S., Lobos, A. M., Moyano, L. G., & Millan, E. N. (2020). Image augmentation for object detection of grapevines. In XXVI Congreso Argentino de Ciencias de la Computación (CACIC)(Modalidad virtual, 5 al 9 de octubre de 2020). http://sedici.unlp.edu.ar/handle/10915/113243
2019
Nesmachnow, S., Massobrio, R., Arreche, E., Mumford, C., Ana Carolina Olivera, Vidal, P. J. and Tchernykh, A. (2019), 'Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm', International Journal of Transportation Science and Technology 8(1), 53-67. https://doi.org/10.1016/j.ijtst.2018.10.002
Vidal, P. J. and Ana Carolina Olivera (2019), 'Management of urban traffic flow based on traffic lights scheduling optimization', IEEE Latin America Transactions 17(1), 102-110. https://latamt.ieeer9.org/index.php/transactions/article/view/3794
Baquela, E. G. and Ana Carolina Olivera (2019), 'A Novel Hybrid Multi-Objective Metamodel-Based Evolutionary Optimization Algorithm', Operations Research Perspectives. Volume 6, 2019, 100098. https://doi.org/10.1016/j.orp.2019.100098
Nietiadi, M. L., Millán, E. N., Bringa, E. M., & Urbassek, H. M. (2019). Bouncing window for colliding nanoparticles: Role of dislocation generation. Physical Review E, 99(3), 032904. https://doi.org/10.1103/PhysRevE.99.032904
Planes, M. B., Millán, E. N., Urbassek, H. M., & Bringa, E. M. (2019). Stopping of porous projectiles in granular targets. Monthly Notices of the Royal Astronomical Society: Letters, 487(1), L13-L17. https://doi.org/10.1093/mnrasl/slz078
Rim, D., Moyano, L. G., & Millán, E. N. (2019). Unsupervised machine learning algorithms as support tools in molecular dynamics simulations. In XX Simposio Argentino de Inteligencia Artificial (ASAI 2019)-JAIIO 48 (Salta). http://sedici.unlp.edu.ar/handle/10915/87939
2018
Vidal, P. J. and Ana Carolina Olivera (2018), 'Solving the DNA Fragment Assembly Problem with a Parallel Discrete Firefly Algorithm implemented on GPU', Computer Science and Information Systems 15(2), 273-293. https://doi.org/10.2298/CSIS170510009V
Péres, M., Ruiz, G., Nesmachnow, S. and Ana Carolina Olivera (2018), 'Multiobjective Evolutionary Optimization of Traffic Flow and Pollution in Montevideo, Uruguay', Applied Soft Computing 70, 472--485. https://doi.org/10.1016/j.asoc.2018.05.044
Vidal, P. J. and Ana Carolina Olivera (2018), 'Ensamblado de fragmentos de ADN utilizando un novedoso algoritmo de luciérrnaga en GPU', DYNA 85(204), 108--116. https://doi.org/10.15446/dyna.v85n204.60078
Ruestes, C. J., Schwen, D., Millán, E. N., Aparicio, E., & Bringa, E. M. (2018). Mechanical properties of Au foams under nanoindentation. Computational Materials Science, 147, 154-167. https://doi.org/10.1016/j.commatsci.2018.02.019
2017
Vidal, P., Alba, E. and Luna, F. (2017), 'Solving optimization problems using a hybrid systolic search on GPU plus CPU', Soft Computing 21(12), 3227--3245. https://doi.org/10.1007/s00500-015-2005-x
Nietiadi, M. L., Umstätter, P., Tjong, T., Rosandi, Y., Millán, E. N., Bringa, E. M., & Urbassek, H. M. (2017). The bouncing threshold in silica nanograin collisions. Physical Chemistry Chemical Physics, 19(25), 16555-16562. https://doi.org/10.1039/C7CP02106B
Bertoldi, D. S., Millán, E. N., & Guillermet, A. F. (2017). Thermodynamics of the melting process in Au nano-clusters: Phenomenology, energy, entropy and quasi-chemical modeling. Journal of Physics and Chemistry of Solids, 111, 286-293. https://doi.org/10.1016/j.jpcs.2017.08.010
Planes, M. B., Millán, E. N., Urbassek, H. M., & Bringa, E. M. (2017). Dust-aggregate impact into granular matter: A systematic study of the influence of projectile velocity and size on crater formation and grain ejection. Astronomy & Astrophysics, 607, A19. https://doi.org/10.1051/0004-6361/201730954
Millán, E. N., Wolovick, N., Piccoli, M. F., Garino, C. G., & Bringa, E. M. (2017). Performance analysis and comparison of cellular automata GPU implementations. Cluster Computing, 20(3), 2763-2777. https://doi.org/10.1007/s10586-017-0850-3
Millán, E. N., Goirán, S., Aranibar, J. N., & Bringa, E. M. (2017). Livestock settlement dynamics in drylands: model application in the Monte desert (Mendoza, Argentina). Ecological Informatics, 39, 84-98. https://doi.org/10.1016/j.ecoinf.2017.03.006
Millán, E. N., Ruestes, C. A., Wolovick, N., & Bringa, E. M. (2017). Boosting materials science simulations by high performance computing. Mecánica Computacional, 35(10), 467-482. http://venus.santafe-conicet.gov.ar/ojs/index.php/mc/article/view/5277/5229
2016
Millán, E. N., Tramontina, D. R., Urbassek, H. M., & Bringa, E. M. (2016). The elastic–plastic transition in nanoparticle collisions. Physical Chemistry Chemical Physics, 18(5), 3423-3429. https://doi.org/10.1039/C5CP05150A
Millán, E. N., Tramontina, D. R., Urbassek, H. M., & Bringa, E. M. (2016). Nucleation of plasticity in nanoparticle collisions. Physical Review E, 93(6), 063004. https://doi.org/10.1103/PhysRevE.93.063004
Millán, E. N., Goirán, S. B., Piccoli, M. F., García Garino, C., Aranibar, J. N., & Bringa, E. M. (2016). Monte Carlo simulations of settlement dynamics in GPUs. Cluster Computing, 19(1), 557-566. https://doi.org/10.1007/s10586-015-0501-5
Millán, E. N., Goirán, S., Forconesi, L., Aranibar, J. N., Garino, C. G., & Bringa, E. M. (2016). Monte Carlo model framework to simulate settlement dynamics. Ecological Informatics, 36, 135-144. https://doi.org/10.1016/j.ecoinf.2016.11.002
2015
Millán, E. N., Bederian, C. S., Piccoli, M. F., Garino, C. G., & Bringa, E. M. (2015). Performance analysis of cellular automata HPC implementations. Computers & Electrical Engineering, 48, 12-24. https://doi.org/10.1016/j.compeleceng.2015.09.015
Olivera, A.C., García-Nieto, J.M. & Alba, E. Reducing vehicle emissions and fuel consumption in the city by using particle swarm optimization. Applied Intelligence, 42, 389–405 (2015). https://doi.org/10.1007/s10489-014-0604-3
2014
Vidal, P. and Ana Carolina Olivera (2014), 'A Parallel Discrete Firefly Algorithm on GPU for Permutation Combinatorial Optimization Problems', Communications in Computer and Information Science 485, 191-205. https://link.springer.com/chapter/10.1007/978-3-662-45483-1_14
Vidal, P., Luna, F. and Alba, E. (2014), 'Systolic neighborhood search on graphics processing units', Soft Computing 18(1), 125-142. https://doi.org/10.1007/s00500-013-1041-7
2013
García-Nieto, J. M., Ana Carolina Olivera and Alba, E. (2013), 'Optimal Cycle Program of Traffic Lights with Particle Swarm Optimization', IEEE Transactions On Evolutionary Computation 17(6), 823-839. https://doi.org/10.1109/TEVC.2013.2260755
Goirán, S. B., Tonolli, A., Aranibar, J. N., Villlagra, P. E., Millan, E., Forconesi, L., & Bringa, E. M. (2013). Factores que determinan el uso del espacio y los recursos en zonas áridas no irrigadas del NE de Mendoza (Argentina). Servicios ecosistémicos hídricos: estudios de caso en América Latina y el Caribe. Valdivia, Chile. Red ProAgua CYTED, Imprenta América., Valdivia, Chile, 97-109.
Millán, E. N., Martínez, P., Gil Costa, G. V., Piccoli, M. F., Printista, A. M., Bederian, C., ... & Bringa, E. M. (2013). Parallel implementation of a cellular automata in a hybrid CPU/GPU environment. In XVIII Congreso Argentino de Ciencias de la Computación. http://sedici.unlp.edu.ar/handle/10915/31730
Millán, E. N., Ringl, C., Bederián, C. S., Piccoli, M. F., Garino, C. G., Urbassek, H. M., & Bringa, E. M. (2013). A gpu implementation for improved granular simulations with lammps. In VI Latin American Symposium on High-Performance Computing HPCLatAm (pp. 89-100). http://www.hpc2013.hpclatam.org/papers/HPCLatAm2013-paper-10.pdf
2012
García-Nieto, J., Alba, E. and A. Carolina Olivera (2012), 'Swarm intelligence for traffic light scheduling: Application to real urban areas', Engineering Applications of Artificial Intelligence 25(2), 274 - 283.
Millán, E. N., García Garino, C., Bringa, E. M. (2012). Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid gpu/cpu environment. In XVIII Congreso Argentino de Ciencias de la Computación. http://sedici.unlp.edu.ar/handle/10915/23634
2010
Frutos, M., Ana Carolina Olivera and Tohmé, F. (2010), 'A memetic algorithm based on a NSGAII scheme for the flexible job-shop scheduling problem', Annals of Operations Research 181, 745-765.