Miguel Cárdenas-Montes

发表

Increasing GP Computing Power via Volunteer Computing pdf

Pedro A. Castillo, Lourdes Araujo, Daniel Lombraña Gonzalez, 2008, ArXiv.

Metaoptimization of Differential Evolution by Using Productions of Low-Number of Cycles: The Fitting of Rotation Curves of Spiral Galaxies as Case Study

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Mercedes Mollá, 2013, HAIS.

Modeling low-resolution galaxy spectral energy distribution with evolutionary algorithms

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Mercedes Mollá, 2017, Neurocomputing.

Search of Extreme Episodes in Urban Ozone Maps

Miguel Cárdenas-Montes, 2019, SOCO.

Incorporating More Scaled Differences to Differential Evolution

Miguel Cárdenas-Montes, 2017, HAIS.

Using a Genetic Algorithm and the Grid to Improve Transport Levels in the TJ-II Stellarator

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2008, 2008 International Symposium on Parallel and Distributed Computing.

A Comparison Exercise on Parallel Evaluation of Rosenbrock Function

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2015, GECCO.

Grid-Oriented Scatter Search Algorithm

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2009, ICANNGA.

Grid Computing in Order to Implement a Three-Dimensional Magnetohydrodynamic Equilibrium Solver for Plasma Confinement

Miguel A. Vega-Rodríguez, Manuel Rubio del Solar, Miguel Cárdenas-Montes, 2008, 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008).

Particle Swarm Optimizer with Finite Velocity of Information Transmission

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, M. Cárdenas-Montes, 2015, HAIS.

A FPGA Optimization Tool Based on a Multi-island Genetic Algorithm Distributed over Grid Environments

Miguel A. Vega-Rodríguez, Juan M. Sánchez-Pérez, Manuel Rubio del Solar, 2008, 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID).

Generalized Probability Distribution Mixture Model for Clustering

Sancho Salcedo-Sanz, Miguel Cárdenas-Montes, David Crespo-Roces, 2018, HAIS.

An alternative view for incorporating more scaled differences to differential evolution

Miguel Cárdenas-Montes, 2020, Log. J. IGPL.

GPU-based shear-shear correlation calculation

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, 2014, Comput. Phys. Commun..

Depth-Based Outlier Detection Algorithm

Miguel Cárdenas-Montes, M. Cárdenas-Montes, 2014, HAIS.

An Accuracy-Aware Implementation of Two-Point Three-Dimensional Correlation Function Using Bin-Recycling Strategy on GPU

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, 2017, 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Predicting Hardness of Travelling Salesman Problem Instances

Miguel Cárdenas-Montes, 2016, CAEPIA.

EUFORIA - Simulation environment for ITER fusion research

Miguel Cárdenas-Montes, Marcus Hardt, Jan Westerholm, 2008 .

Effect of the Block Occupancy in GPGPU over the Performance of Particle Swarm Algorithm

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2011, ICANNGA.

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, 2016, HAIS.

Uncertainty estimation in the forecasting of the 222Rn radiation level time series at the Canfranc Underground Laboratory

Miguel Cárdenas-Montes, 2020 .

Grid‐based metaheuristics to improve a nuclear fusion device

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2010, Concurr. Comput. Pract. Exp..

Bin recycling strategy for improving the histogram precision on GPU

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, 2016, Comput. Phys. Commun..

PBIL for Optimizing Hyperparameters of Convolutional Neural Networks and STL Decomposition

Miguel Cárdenas-Montes, Miguel A. Gutiérrez-Naranjo, Roberto A. Vasco-Carofilis, 2020, HAIS.

Distributed and Asynchronous Bees Algorithm: An Efficient Model for Large Scale Problems Optimizations

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2010, DCAI.

Time and Energy to Solution Evaluation for the Three-Point Angular Correlation Function

Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, A. Gómez-Iglesias, 2017, 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Artificial Bee Colony Inspired Algorithm Applied to Fusion Research in a Grid Computing Environment

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2010, 2010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing.

Scatter Search and Grid Computing to Improve Nuclear Fusion Devices

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2009, LSSC.

POSTER: Performance evaluation of a signal extraction algorithm for the Cherenkov Telescope Array's Real Time Analysis pipeline

Andrea Bulgarelli, José Luis Vázquez-Poletti, Miguel Cárdenas-Montes, 2014, 2014 IEEE International Conference on Cluster Computing (CLUSTER).

Evaluation of Decision Trees Algorithms for Position Reconstruction in Argon Dark Matter Experiment

Miguel Cárdenas-Montes, Luciano Romero, Bárbara Montes, 2016, HAIS.

Performance evaluation of the three-point angular correlation function

Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, A. Gómez-Iglesias, 2018, Parallel Comput..

EdgES: the Common Boundary between Service and Desktop Grids

Gábor Terstyánszky, Gilles Fedak, Péter Kacsuk, 2008, Parallel Process. Lett..

Sensitiveness of Evolutionary Algorithms to the Random Number Generator

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2011, ICANNGA.

POSTER: High-performance implementations for shear-shear correlation calculation

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, 2014, 2014 IEEE International Conference on Cluster Computing (CLUSTER).

Slope-to-optimal-solution-based evaluation of the hardness of travelling salesman problem instances

Miguel Cárdenas-Montes, 2020, Log. J. IGPL.

Performance study of a signal‐extraction algorithm using different parallelisation strategies for the Cherenkov Telescope Array's real‐time‐analysis software

Andrea Bulgarelli, José Luis Vázquez-Poletti, Miguel Cárdenas-Montes, 2017, Concurr. Comput. Pract. Exp..

Performance Improvement in Multipopulation Particle Swarm Algorithm

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2010, DCAI.

Modelling and Forecasting of the ^222Rn Radiation Level Time Series at the Canfranc Underground Laboratory

Miguel Cárdenas-Montes, Iván Méndez-Jiménez, 2018, HAIS.

Distributed and Asynchronous Bees Algorithm Applied to Nuclear Fusion Research

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2011, 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing.

Weibull-based scaled-differences schema for Differential Evolution

Miguel Cárdenas-Montes, M. Cárdenas-Montes, 2018, Swarm Evol. Comput..

GPU-Based Evaluation to Accelerate Particle Swarm Algorithm

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2011, EUROCAST.

Ensemble Deep Learning for Forecasting ^222Rn 222 R n Radiation Level at Canfranc Underground Laboratory

Miguel Cárdenas-Montes, Iván Méndez-Jiménez, M. Cárdenas-Montes, 2019, SOCO.

Metaheuristics for Modelling Low-Resolution Galaxy Spectral Energy Distribution

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Mercedes Mollá, 2014, HAIS.

Voronoi Tessellation for reducing the processing time of correlation functions

Miguel Cárdenas-Montes, Ignacio Sevilla-Noarbe, I. Sevilla-Noarbe, 2018, Comput. Phys. Commun..

Grid-Enabled Mutation-Based Genetic Algorithm to Optimise Nuclear Fusion Devices

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2009, EUROCAST.

Time Series Decomposition for Improving the Forecasting Performance of Convolutional Neural Networks

Miguel Cárdenas-Montes, Iván Méndez-Jiménez, M. Cárdenas-Montes, 2018, CAEPIA.

Grid-based metaheuristics to improve a nuclear fusion device

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2010, Grid 2010.

Creating hard-to-solve instances of travelling salesman problem

Miguel Cárdenas-Montes, M. Cárdenas-Montes, 2018, Appl. Soft Comput..

Peaks Detection in X-Ray Diffraction Profiles Using Grid Computing

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Miguel Cárdenas-Montes, 2008, OTM Conferences.

Report: Performance comparison between C2075 and P100 GPU cards using cosmological correlation functions pdf

Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Iván Méndez-Jiménez, 2017, ArXiv.

Speeding Up a Chaos-Based Image Encryption Algorithm Using GPGPU

Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Sixto Romero-Sánchez, 2011, EUROCAST.

GP2PCF: Brute-force computation of 2-point correlation functions

Miguel Cárdenas-Montes, Rafael Ponce, 2012 .

Evolutionary computation and grid computing to optimise nuclear fusion devices

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2009, Cluster Computing.

Empirical Study of Performance of Particle Swarm Optimization Algorithms Using Grid Computing

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2010, NICSO.

Parallel evaluation of nonseparable functions by evolutionary algorithms on GPU

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2017, Concurr. Comput. Pract. Exp..

Exploration of the Conjecture of Bateman Using Particle Swarm Optimisation and Grid Computing

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2009, 2009 Eighth International Symposium on Parallel and Distributed Computing.

Bin Recycling Strategy for an Accuracy-Aware Implementation of Two-Point Angular Correlation Function on GPU

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2016, ICA3PP.

Performance and precision of histogram calculation on GPUs: Cosmological analysis as a case study

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, 2014, Comput. Phys. Commun..

EDGeS: A Bridge between Desktop Grids and Service Grids

Gábor Terstyánszky, Gilles Fedak, Péter Kacsuk, 2008, The Third ChinaGrid Annual Conference (chinagrid 2008).

Accelerating Particle Swarm Algorithm with GPGPU

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2011, 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing.

Forecast Daily Air-Pollution Time Series with Deep Learning

Miguel Cárdenas-Montes, M. Cárdenas-Montes, 2019, HAIS.

Effect of Data Layout in the Evaluation Time of Non-Separable Functions on GPU

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, 2015, Comput. Informatics.

Volunteer Computing, an Interesting Option for Grid Computing: Extremadura as Case Study

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan M. Sánchez-Pérez, 2007, OTM Workshops.

Concurrent CPU-GPU Code Optimization: The Two-Point Angular Correlation Function as Case Study

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, 2013, CAEPIA.

EDGeS: The Common Boundary Between Service And Desktop Grids

Gábor Terstyánszky, Gilles Fedak, Péter Kacsuk, 2008, CoreGRID Integration Workshop.

Real-World Problem for Checking the Sensitiveness of Evolutionary Algorithms to the Choice of the Random Number Generator

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2012, HAIS.

Neural Networks for Background Rejection in DEAP-3600 Detector

Miguel Cárdenas-Montes, Iñaki Rodríguez-García, Vicente Pesudo, 2020, HAIS.

Window Size Optimization for Gaussian Processes in Large Time Series Forecasting

Miguel Cárdenas-Montes, Juan Luis Gómez-González, 2021, HAIS.

Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory

Miguel Cárdenas-Montes, Tomás Sánchez-Pastor, 2021, HAIS.

Estimation of Machine Learning model uncertainty in particle physics event classifiers

Miguel Cárdenas-Montes, Julia Vázquez-Escobar, J. M. Hernández, 2021, Comput. Phys. Commun..

Adjustment of Observational Data to Specific Functional Forms Using a Particle Swarm Algorithm and Differential Evolution: Rotational Curves of a Spiral Galaxy as Case Study

Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Antonio Gómez-Iglesias, 2012 .

EUFORIA : Grid and high performance computing at the service of fusion modelling

Miguel Cárdenas-Montes, Marcus Hardt, Jan Westerholm, 2008 .