F. Borges, Gutierrez-Milla, A., Suppi, R., and Luque, E.,
“Optimal Run Length for Discrete-event Distributed Cluster-based Simulations”,
Procedia Computer Science, vol. 29, pp. 73 - 83, 2014.
J. Gramacho, Wong, A., Rexachs, D., and Luque, E.,
“Predicting robustness against transient faults of MPI based programs”,
International Journal of Computational Science and Engineering, vol. Vol.12, pp. 155 - 165, 2016.
C. N. Castillo, Lugones, D., Franco, D., Luque, E., and Collier, M.,
“Predictive and Distributed Routing Balancing, an Application-Aware Approach”,
Procedia Computer Science, vol. 18, pp. 179-188, 2013.
Z. Liu, Cabrera, E., Taboada, M., Epelde, F., Rexachs, D., and Luque, E.,
“Quantitative Evaluation of Decision Effects in the Management of Emergency Department Problems”,
Procedia Computer Science, vol. 51, pp. 433 - 442, 2015.
P. C. Tissera, Castro, A., Printista, M. A., and Luque, E.,
“Simulating Behaviours to face up an Emergency Evacuation”,
International Journal of Soft Computing and Software Engineering (JSCSE), vol. 3, pp. 857-863, 2014.
Z. Liu, Rexachs, D., Epelde, F., and Luque, E.,
“A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity”,
Computers & Industrial Engineering, vol. 103, pp. 300 - 309, 2017.
F. Borges, Gutierrez-Milla, A., Suppi, R., and Luque, E.,
“Strip Partitioning for Ant Colony Parallel and Distributed Discrete-event Simulation”,
Procedia Computer Science, vol. 51, pp. 483 - 492, 2015.
Z. Liu, Rexachs, D., Epelde, F., and Luque, E.,
“Support managing population aging stress of emergency departments in a computational way”,
Procedia Computer Science, vol. 108, pp. 149 - 158, 2017.