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  4. A Comparative Study of Stochastic Optimi ...

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Cited by 5
A Comparative Study of Stochastic Optimizers for Fitting Neuron Models. Application to the Cerebellar Granule Cell

Accelerating neural network architecture search using multi-GPU high-performance computing
Marcos Lupión, N. C. Cruz, Juan F. Sanjuan, B. Paechter, Pilar M. Ortigosa
https://doi.org/10.1007/s11227-022-04960-z
Journal  The Journal of Supercomputing Volume 79, Issue 7 (2023), p. 7609
Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity
Nicolás C. Cruz, Álvaro González-Redondo, Juana L. Redondo, Jesús A. Garrido, Eva M. Ortigosa, Pilar M. Ortigosa
https://doi.org/10.3389/fninf.2022.1017222
Journal  Frontiers in Neuroinformatics Volume 16 (2022)
Hiding region constraints for black-box optimization. Application to camera placement in a virtual industrial environment using Evolutionary Computation
N.C. Cruz, M. Rouret, E.M. Ortigosa, E. Ros, J.A. Garrido
https://doi.org/10.1016/j.swevo.2025.101946
Journal  Swarm and Evolutionary Computation Volume 95 (2025), p. 101946
On Optimizing the Structure of Neural Networks Through a Compact Codification of Their Architecture
Marcos Lupión, N. C. Cruz, B. Paechter, P. M. Ortigosa
https://doi.org/10.1007/978-3-031-26504-4_10
Book  Lecture Notes in Computer Science (Metaheuristics) Volume 13838 (2023), p. 133
On the Design of a New Stochastic Meta-Heuristic for Derivative-Free Optimization
N. C. Cruz, Juana L. Redondo, E. M. Ortigosa, P. M. Ortigosa
https://doi.org/10.1007/978-3-031-10562-3_14
Book  Lecture Notes in Computer Science (Computational Science and Its Applications – ICCSA 2022 Workshops) Volume 13378 (2022), p. 188


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