Volunteer Computing, an Interesting Option for Grid Computing: Extremadura as Case Study. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Carlos J. García Orellana; Manuel Rubio del Solar; Juan Antonio Gómez Pulido; Horacio M. González Velasco; Antonio Gómez-Iglesias; Juan Manuel Sánchez-Pérez; Miguel Macías Macías (OTM Workshops (1), 2007)

A FPGA Optimization Tool Based on a Multi-island Genetic Algorithm Distributed over Grid Environments. - Manuel Rubio del Solar; Miguel A. Vega-Rodríguez; Juan Manuel Sánchez-Pérez; Antonio Gómez-Iglesias; Miguel Cárdenas-Montes (CCGRID, 2008)

EDGeS: A Bridge between Desktop Grids and Service Grids. - Gilles Fedak; Haiwu He; Oleg Lodygensky; Zoltán Balaton; Zoltán Farkas; Gabor Gombás; Péter Kacsuk; Róbert Lovas; Csaba Attila Marosi; Ian Kelley; Ian J. Taylor; Gábor Terstyánszky; et al. (ChinaGrid, 2008)

Using a Genetic Algorithm and the Grid to Improve Transport Levels in the TJ-II Stellarator. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Francisco Castejón-Magaña; Miguel Cárdenas-Montes; Enrique Morales-Ramos (ISPDC, 2008)

Peaks Detection in X-Ray Diffraction Profiles Using Grid Computing. - Enrique Morales-Ramos; Miguel A. Vega-Rodríguez; Antonio Gómez-Iglesias; Miguel Cárdenas-Montes; Juan Antonio Gómez Pulido; Florentino Sánchez-Bajo (OTM Conferences (1), 2008)

Grid Computing in Order to Implement a Three-Dimensional Magnetohydrodynamic Equilibrium Solver for Plasma Confinement. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Francisco Castejón-Magaña; Manuel Rubio del Solar; Miguel Cárdenas-Montes (PDP, 2008)

Increasing GP Computing Power via Volunteer Computing - Daniel Lombraña Gonzalez; Francisco Fernández de Vega; Leonardo Trujillo; Gustavo Olague; Francisco Chávez de la O; Miguel Cárdenas-Montes; Lourdes Araujo; Pedro A. Castillo; Ken Sharman (CoRR, 2008)

EdgES: the Common Boundary between Service and Desktop Grids. - Zoltán Balaton; Zoltán Farkas; Gabor Gombás; Péter Kacsuk; Róbert Lovas; Csaba Attila Marosi; Ad Emmen; Gábor Terstyánszky; Tamás Kiss; Ian Kelley; Ian J. Taylor; Oleg Lodygensky; et al. (Parallel Process. Lett., 2008)

Grid-Enabled Mutation-Based Genetic Algorithm to Optimise Nuclear Fusion Devices. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Francisco Castejón-Magaña; Miguel Cárdenas-Montes; Enrique Morales-Ramos (EUROCAST, 2009)

Grid-Oriented Scatter Search Algorithm. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Miguel Cárdenas-Montes; Enrique Morales-Ramos; Francisco Castejón-Magaña (ICANNGA, 2009)

Exploration of the Conjecture of Bateman Using Particle Swarm Optimisation and Grid Computing. - Miguel Cárdenas-Montes; Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Enrique Morales-Ramos (ISPDC, 2009)

Scatter Search and Grid Computing to Improve Nuclear Fusion Devices. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Francisco Castejón-Magaña; Miguel Cárdenas-Montes; Enrique Morales-Ramos (LSSC, 2009)

Evolutionary computation and grid computing to optimise nuclear fusion devices. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Francisco Castejón-Magaña; Miguel Cárdenas-Montes; Enrique Morales-Ramos (Clust. Comput., 2009)

Distributed and Asynchronous Bees Algorithm: An Efficient Model for Large Scale Problems Optimizations. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Francisco Castejón; Miguel Cárdenas-Montes (DCAI, 2010)

Performance Improvement in Multipopulation Particle Swarm Algorithm. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Antonio Gómez-Iglesias (DCAI, 2010)

Empirical Study of Performance of Particle Swarm Optimization Algorithms Using Grid Computing. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Antonio Gómez-Iglesias; Enrique Morales-Ramos (NICSO, 2010)

Artificial Bee Colony Inspired Algorithm Applied to Fusion Research in a Grid Computing Environment. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Francisco Castejón; Miguel Cárdenas-Montes; Enrique Morales-Ramos (PDP, 2010)

Grid-based metaheuristics to improve a nuclear fusion device. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Francisco Castejón; Enrique Morales-Ramos; Miguel Cárdenas-Montes; José M. Reynolds (Concurr. Comput. Pract. Exp., 2010)

GPU-Based Evaluation to Accelerate Particle Swarm Algorithm. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Juan José Rodríguez-Vázquez; Antonio Gómez-Iglesias (EUROCAST (1), 2011)

Speeding Up a Chaos-Based Image Encryption Algorithm Using GPGPU. - Juan José Rodríguez-Vázquez; Sixto Romero-Sánchez; Miguel Cárdenas-Montes (EUROCAST (1), 2011)

Sensitiveness of Evolutionary Algorithms to the Random Number Generator. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Antonio Gómez-Iglesias (ICANNGA (1), 2011)

Effect of the Block Occupancy in GPGPU over the Performance of Particle Swarm Algorithm. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Juan José Rodríguez-Vázquez; Antonio Gómez-Iglesias (ICANNGA (1), 2011)

Distributed and Asynchronous Bees Algorithm Applied to Nuclear Fusion Research. - Antonio Gómez-Iglesias; Miguel A. Vega-Rodríguez; Francisco Castejón; Miguel Cárdenas-Montes (PDP, 2011)

Accelerating Particle Swarm Algorithm with GPGPU. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Juan José Rodríguez-Vázquez; Antonio Gómez-Iglesias (PDP, 2011)

Real-World Problem for Checking the Sensitiveness of Evolutionary Algorithms to the Choice of the Random Number Generator. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Antonio Gómez-Iglesias (HAIS (1), 2012)

Concurrent CPU-GPU Code Optimization: The Two-Point Angular Correlation Function as Case Study. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Ignacio Sevilla-Noarbe; Rafael Ponce; Juan José Rodríguez-Vázquez; Eusebio Sánchez Álvaro (CAEPIA, 2013)

Metaoptimization of Differential Evolution by Using Productions of Low-Number of Cycles: The Fitting of Rotation Curves of Spiral Galaxies as Case Study. - Miguel Cárdenas-Montes; Miguel Ángel Vega Rodríguez; Mercedes Mollá (HAIS, 2013)

High-performance implementations for shear-shear correlation calculation. - Miguel Cárdenas-Montes; Juan José Rodríguez-Vázquez; Ignacio Sevilla-Noarbe; Eusebio Sánchez Álvaro; Rafael Ponce; Miguel Ángel Vega Rodríguez; Christopher Bonnett (CLUSTER, 2014)

Performance evaluation of a signal extraction algorithm for the Cherenkov Telescope Array's Real Time Analysis pipeline. - Juan José Rodríguez-Vázquez; José Luis Vázquez-Poletti; Carlos José Delgado-Méndez; Andrea Bulgarelli; Miguel Cárdenas-Montes (CLUSTER, 2014)

Depth-Based Outlier Detection Algorithm. - Miguel Cárdenas-Montes (HAIS, 2014)

Metaheuristics for Modelling Low-Resolution Galaxy Spectral Energy Distribution. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Mercedes Mollá (HAIS, 2014)

Performance and precision of histogram calculation on GPUs: Cosmological analysis as a case study. - Miguel Cárdenas-Montes; Juan José Rodríguez-Vázquez; Miguel A. Vega-Rodríguez; Ignacio Sevilla-Noarbe; Eusebio Sánchez Álvaro (Comput. Phys. Commun., 2014)

GPU-based shear-shear correlation calculation. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Christopher Bonnett; Ignacio Sevilla-Noarbe; Rafael Ponce; Eusebio Sánchez Álvaro; Juan José Rodríguez-Vázquez (Comput. Phys. Commun., 2014)

A Comparison Exercise on Parallel Evaluation of Rosenbrock Function. - Miguel Cárdenas-Montes; Miguel Ángel Vega Rodríguez; Juan José Rodríguez-Vázquez; Antonio Gómez-Iglesias (GECCO (Companion), 2015)

Particle Swarm Optimizer with Finite Velocity of Information Transmission. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez (HAIS, 2015)

Effect of Data Layout in the Evaluation Time of Non-Separable Functions on GPU. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez (Comput. Informatics, 2015)

Predicting Hardness of Travelling Salesman Problem Instances. - Miguel Cárdenas-Montes (CAEPIA, 2016)

Evaluating the Difficulty of Instances of the Travelling Salesman Problem in the Nearby of the Optimal Solution Based on Random Walk Exploration. - Miguel Cárdenas-Montes (HAIS, 2016)

Evaluation of Decision Trees Algorithms for Position Reconstruction in Argon Dark Matter Experiment. - Miguel Cárdenas-Montes; Bárbara Montes; Roberto Santorelli; Luciano Romero (HAIS, 2016)

Bin Recycling Strategy for an Accuracy-Aware Implementation of Two-Point Angular Correlation Function on GPU. - Miguel Cárdenas-Montes; Juan José Rodríguez-Vázquez; Miguel A. Vega-Rodríguez; Ignacio Sevilla-Noarbe; Antonio Gómez-Iglesias (ICA3PP, 2016)

Bin recycling strategy for improving the histogram precision on GPU. - Miguel Cárdenas-Montes; Juan José Rodríguez-Vázquez; Miguel A. Vega-Rodríguez (Comput. Phys. Commun., 2016)

An Accuracy-Aware Implementation of Two-Point Three-Dimensional Correlation Function using Bin-Recycling Strategy on GPU. - Iván Méndez-Jiménez; Miguel Cárdenas-Montes; Juan José Rodríguez-Vázquez; Ignacio Sevilla-Noarbe; Eusebio Sánchez Álvaro; David Alonso; Miguel A. Vega-Rodríguez (CCGrid, 2017)

Incorporating More Scaled Differences to Differential Evolution. - Miguel Cárdenas-Montes (HAIS, 2017)

Time and Energy to Solution Evaluation for the Three-Point Angular Correlation Function. - Antonio Gómez-Iglesias; Miguel Cárdenas-Montes (IPDPS Workshops, 2017)

Parallel evaluation of nonseparable functions by evolutionary algorithms on GPU. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Juan José Rodríguez-Vázquez; Antonio Gómez-Iglesias (Concurr. Comput. Pract. Exp., 2017)

Performance study of a signal-extraction algorithm using different parallelisation strategies for the Cherenkov Telescope Array's real-time-analysis software. - Juan José Rodríguez-Vázquez; José Luis Vázquez-Poletti; Carlos José Delgado-Méndez; Andrea Bulgarelli; Miguel Cárdenas-Montes (Concurr. Comput. Pract. Exp., 2017)

Report: Performance comparison between C2075 and P100 GPU cards using cosmological correlation functions. - Miguel Cárdenas-Montes; Iván Méndez-Jiménez; Juan José Rodríguez-Vázquez; José María Hernández Calama (CoRR, 2017)

Time Series Decomposition for Improving the Forecasting Performance of Convolutional Neural Networks. - Iván Méndez-Jiménez; Miguel Cárdenas-Montes (CAEPIA, 2018)

Generalized Probability Distribution Mixture Model for Clustering. - David Crespo-Roces; Iván Méndez-Jiménez; Sancho Salcedo-Sanz; Miguel Cárdenas-Montes (HAIS, 2018)

Modelling and Forecasting of the ^222Rn Radiation Level Time Series at the Canfranc Underground Laboratory. - Iván Méndez-Jiménez; Miguel Cárdenas-Montes (HAIS, 2018)

Creating hard-to-solve instances of travelling salesman problem. - Miguel Cárdenas-Montes (Appl. Soft Comput., 2018)

Voronoi Tessellation for reducing the processing time of correlation functions. - Miguel Cárdenas-Montes; Ignacio Sevilla-Noarbe (Comput. Phys. Commun., 2018)

Performance evaluation of the three-point angular correlation function. - Antonio Gómez-Iglesias; Miguel Cárdenas-Montes (Parallel Comput., 2018)

Weibull-based scaled-differences schema for Differential Evolution. - Miguel Cárdenas-Montes (Swarm Evol. Comput., 2018)

Forecast Daily Air-Pollution Time Series with Deep Learning. - Miguel Cárdenas-Montes (HAIS, 2019)

Search of Extreme Episodes in Urban Ozone Maps. - Miguel Cárdenas-Montes (SOCO, 2019)

Ensemble Deep Learning for Forecasting ^222Rn 222 R n Radiation Level at Canfranc Underground Laboratory. - Miguel Cárdenas-Montes; Iván Méndez-Jiménez (SOCO, 2019)

Modeling low-resolution galaxy spectral energy distribution with evolutionary algorithms. - Miguel Cárdenas-Montes; Miguel A. Vega-Rodríguez; Mercedes Mollá (Neurocomputing, 2019)

Neural Networks for Background Rejection in DEAP-3600 Detector. - Iñaki Rodríguez-García; Vicente Pesudo; Roberto Santorelli; Miguel Cárdenas-Montes (HAIS, 2020)

PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition. - Roberto Andrés Vasco Carofilis; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes (HAIS, 2020)

An alternative view for incorporating more scaled differences to differential evolution. - Miguel Cárdenas-Montes (Log. J. IGPL, 2020)

Slope-to-optimal-solution-based evaluation of the hardness of travelling salesman problem instances. - Miguel Cárdenas-Montes (Log. J. IGPL, 2020)

Window Size Optimization for Gaussian Processes in Large Time Series Forecasting. - Juan Luis Gómez-González; Miguel Cárdenas-Montes (HAIS, 2021)

Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory. - Tomás Sánchez-Pastor; Miguel Cárdenas-Montes (HAIS, 2021)

Understanding the input-output relationship of neural networks in the time series forecasting radon levels at Canfranc Underground Laboratory. - Iñaki Rodríguez-García; Miguel Cárdenas-Montes (CoRR, 2021)

Estimation of Machine Learning model uncertainty in particle physics event classifiers. - Julia Vázquez-Escobar; José M. Hernández; Miguel Cárdenas-Montes (Comput. Phys. Commun., 2021)

Detection of anomalous episodes in urban Ozone maps. - Miguel Cárdenas-Montes (Expert Syst. J. Knowl. Eng., 2021)

Dynamic Price of Parking Service based on Deep Learning. - Alejandro Luque-Cerpa; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes (CoRR, 2022)

Uncertainty estimation in the forecasting of the 222Rn radiation level time series at the Canfranc Underground Laboratory. - Miguel Cárdenas-Montes (Log. J. IGPL, 2022)

Evolutionary game theory in a cell: A membrane computing approach. - Pedro García-Victoria; Matteo Cavaliere; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes (Inf. Sci., 2022)

PBIL for optimizing inception module in convolutional neural networks. - Pedro García-Victoria; Miguel Angel Gutiérrez-Naranjo; Miguel Cárdenas-Montes; Roberto Andrés Vasco Carofilis (Log. J. IGPL, 2023)

Assessing Generative Artificial Intelligence in Fundamental Physics with Gaussian Processes. - Miguel Cárdenas-Montes; Laura Toribio San Cipriano; Jacobo Asorey Barreiro; Juan de Vicente; Ignacio Sevilla-Noarbe (HAIS (1), 2024)

Gaussian process-based analysis of the nitrogen dioxide at Madrid Central Low Emission Zone. - Juan Luis Gómez-González; Miguel Cárdenas-Montes (Log. J. IGPL, 2024)