A parallel Teaching-Learning-Based Optimization procedure for automatic heliostat aiming. - Nicolas C. Cruz; Juana López Redondo; José Domingo Álvarez; Manuel Berenguel; Pilar Martínez Ortigosa (J. Supercomput., 2017)

High performance computing for the heliostat field layout evaluation. - Nicolas C. Cruz; Juana López Redondo; Manuel Berenguel; José Domingo Álvarez; Antonio Becerra-Terón; Pilar Martínez Ortigosa (J. Supercomput., 2017)

A two-layered solution for automatic heliostat aiming. - Nicolas C. Cruz; José Domingo Álvarez; Juana López Redondo; Manuel Berenguel; Pilar Martínez Ortigosa (Eng. Appl. Artif. Intell., 2018)

Optimizing the Heliostat Field Layout by Applying Stochastic Population-Based Algorithms. - Nicolas C. Cruz; Juana López Redondo; José Domingo Álvarez; Manuel Berenguel; Pilar M. Ortigosa (Informatica, 2018)

Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization. - Nicolas C. Cruz; Saïd Salhi; Juana López Redondo; José Domingo Álvarez; Manuel Berenguel; Pilar Martínez Ortigosa (J. Supercomput., 2019)

On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell. - Milagros Marín; Nicolás C. Cruz; Eva M. Ortigosa; María José Saéz-Lara; Jesús Alberto Garrido; Richard R. Carrillo (Frontiers Neuroinformatics, 2021)

A Comparative Study of Stochastic Optimizers for Fitting Neuron Models. Application to the Cerebellar Granule Cell. - Nicolás C. Cruz; Milagros Marín; Juana López Redondo; Eva M. Ortigosa; Pilar M. Ortigosa (Informatica, 2021)

On Optimizing the Structure of Neural Networks Through a Compact Codification of Their Architecture. - Marcos Lupión; Nicolás C. Cruz; Ben Paechter; Pilar M. Ortigosa (MIC, 2022)

On the Design of a New Stochastic Meta-Heuristic for Derivative-Free Optimization. - Nicolas C. Cruz; Juana López Redondo; Eva M. Ortigosa; Pilar Martínez Ortigosa (ICCSA (Workshops 2), 2022)

Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity. - Nicolás C. Cruz; Álvaro González-Redondo; Juana López Redondo; Jesús Alberto Garrido; Eva M. Ortigosa; Pilar M. Ortigosa (Frontiers Neuroinformatics, 2022)

An Effective Solution for Drug Discovery Based on the Tangram Meta-Heuristic and Compound Filtering. - Nicolás C. Cruz; Savíns Puertas-Martín; Juana López Redondo; Pilar M. Ortigosa (Informatica, 2023)

Accelerating neural network architecture search using multi-GPU high-performance computing. - Marcos Lupión; Nicolas C. Cruz; Juan F. Sanjuan; Ben Paechter; Pilar M. Ortigosa (J. Supercomput., 2023)

On the Use of GPU Computing for Accelerating EEG Preprocessing. - F. Romero; Marcos Lupión; Nicolás C. Cruz; Luis F. Romero; Pilar Martínez Ortigosa (Euro-Par (3), 2024)

A holistic approach for resource-constrained neural network architecture search. - Marcos Lupión; Nicolás C. Cruz; Eva M. Ortigosa; Pilar Martínez Ortigosa (Appl. Soft Comput., 2025)

From data extraction to data-driven dynamic modeling for cobots: A method using multi-objective optimization. - Diego Navarro-Cabrera; Juan H. García-Guzmán; Nicolás C. Cruz; Brayan Valencia-Vidal; Niceto R. Luque; Eduardo Ros 001 (Robotics Auton. Syst., 2025)

Hiding region constraints for black-box optimization. Application to camera placement in a virtual industrial environment using Evolutionary Computation. - Nicolas C. Cruz; M. Rouret; Eva M. Ortigosa; Eduardo Ros Vidal; Jesús Alberto Garrido (Swarm Evol. Comput., 2025)