Our spirit of innovation is founded on more than 15 years of research in applied technologies in our professional careers. With more than 150 research publications of the founders of Lurtis we can say that we believe in R. & D.
That is why we continue in our research field, providing support and communication between the universities and the industry.
Peña, J. M., LaTorre, A., & Jérusalem, A. (2019). SoftFEM: The Soft Finite Element Method. International Journal for Numerical Methods in Engineering, 118(10), 606-630
Baker, R. E., Peña, J. M., Jayamohan, J., & Jérusalem, A. (2018). Mechanistic models versus machine learning, a fight worth fighting for the biological community?. Biology letters, 14(5), 20170660.
LaTorre, A., & Peña, J. M. (2017, June). On the scalability of population restart mechanisms on large-scale global optimization. In 2017 IEEE Congress on Evolutionary Computation (CEC) (pp. 1071-1078). IEEE.
LaTorre, A., & Peña, J. M. (2017, June). A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark. In 2017 IEEE Congress on Evolutionary Computation (CEC) (pp. 1063-1070). IEEE.
Belkoura, S., Peña, J. M., & Zanin, M. (2017). Beyond linear delay multipliers in air transport. Journal of Advanced Transportation, 2017.
Belkoura, S., Cook, A., Peña, J. M., & Zanin, M. (2016). On the multi-dimensionality and sampling of air transport networks. Transportation Research Part E: Logistics and Transportation Review, 94, 95-109.
Belkoura, S., Peña, J. M., & Zanin, M. (2016). Generation and recovery of airborne delays in air transport. Transportation Research Part C: Emerging Technologies, 69, 436-450.
LaTorre, A., Muelas, S., & Peña, J. M. (2015). A comprehensive comparison of large scale global optimizers. Information Sciences, 316, 517-549.
Muelas, S., LaTorre, A., & Peña, J. M. (2015). A distributed VNS algorithm for optimizing dial-a-ride problems in large-scale scenarios. Transportation Research Part C: Emerging Technologies, 54, 110-130.
Siddiqui, Z. F., Krempl, G., Spiliopoulou, M., Peña, J. M., Paul, N., & Maestu, F. (2015). Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI). Brain informatics, 2(1), 33-44.
Maestú, F., Peña, J. M., Garcés, P., González, S., Bajo, R., Bagic, A., ... & Nakamura, A. (2015). A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity. NeuroImage: Clinical, 9, 103-109.
Montes, J., Peña, J. M., DeFelipe, J., Herreras, O., & Merchan-Perez, A. (2015). The influence of synaptic size on AMPA receptor activation: a Monte Carlo model. PloS one, 10(6).
Montes, J., LaTorre, A., Muelas, S., Merchán-Pérez, Á., & Peña, J. M. (2015). Comparative study of metaheuristics for the curve-fitting problem: modeling neurotransmitter diffusion and synaptic receptor activation. In Abstract and Applied Analysis (Vol. 2015). Hindawi.
García-Grajales, J. A., Rucabado, G., García-Dopico, A., Peña, J. M., & Jérusalem, A. (2015). Neurite, a finite difference large scale parallel program for the simulation of electrical signal propagation in neurites under mechanical loading. PloS one, 10(2).
Peña, J. M., Viedma, J., Muelas, S., LaTorre, A., & Pena, L. (2014, August). Designer-driven 3d buildings generated using variable neighborhood search. In 2014 IEEE Conference on Computational Intelligence and Games (pp. 1-8). IEEE.