Artículos de revistas (seleccionados):

2025

• Facundo Parizek, María Belén Planes, Emmanuel Nicolás Millán, M. Gabriela Parisi and Eduardo Marcial Bringa (2025).Dust collisions in protoplanetary disks: From monodisperse to bidisperse grain aggregates.  Astronomy & Astrophysics. 703, A180. https://doi.org/10.1051/0004-6361/202556240

• Matías Gabriel Rojas, Ana Carolina Olivera, Pablo Javier Vidal and Jessica Andrea Carballido. (2025). Massive Production of Cancer Synthetic RNA-Seq Gene Expression Samples. SN Computer Science. 6:714. Springer https://doi.org/10.1007/s42979-025-04251-3  

• Matías Gabriel Rojas, Ana Carolina Olivera, Jessica Andrea Carballido, and Pablo Javier Vidal. (2025).  A New Micro-genetic Crossover Operator for Effective Training of Medical Neural Networks. SN Computer Science. 6, 539. Springer. https://doi.org/10.1007/s42979-025-04077-z

• Matías Gabriel Rojas, Ana Carolina Olivera, Pablo Javier Vidal. (2025). A Memetic Genetic Particle Swarm Optimization for Druglike Molecule Discovery. IEEE Latin America Transactions, 23(3), 216–222. https://latamt.ieeer9.org/index.php/transactions/article/view/9254 Código reproducible en https://github.com/matigrojas/PSOSA-Drug_Design 

2024

• Layla M. Martínez Guevara, Pablo J. Vidal, Ana C. Olivera, Emmanuel E. Millán. (2024). Analysis and comparison of encryption and verification algorithms applied to a Fog Computing Architecture. Journal of Information and Telecommunication. 1-17. https://doi.org/10.1080/24751839.2024.2411884. 

• Planes, M. B.; Parisi M. G.; Millán E. N.; Bringa, E. M.; and Cañada-Assandri, M. (2024). Dust-dust collisions in cometary comas: applications to comet 67P/Churyumov-Gerasimenko. Monthly Notices of the Royal Astronomical Society: stae1078. https://doi.org/10.1093/mnras/stae1078 

• 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.