J. Sánchez

发表

Feature selection for multi-label naive Bayes classification

Víctor Robles, Min-Ling Zhang, José María Peña Sánchez, 2009, Inf. Sci..

Minimal Decision Rules Based on the A Priori Algorithm

Ernestina Menasalvas Ruiz, J. Sánchez, C. F. Baizán, 2001 .

Voronoi-initializated island models for solving real-coded deceptive problems

Víctor Robles, Antonio LaTorre, José María Peña Sánchez, 2008, GECCO '08.

CliDaPa: A new approach to combining clinical data with DNA microarrays

Santiago González, Víctor Robles, Fazel Famili, 2010, Intell. Data Anal..

Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images

Javier DeFelipe, Antonio LaTorre, José María Peña Sánchez, 2013, Expert Syst. Appl..

Large scale global optimization: Experimental results with MOS-based hybrid algorithms

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2013, 2013 IEEE Congress on Evolutionary Computation.

Multiple Offspring Sampling in Large Scale Global Optimization

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2012, 2012 IEEE Congress on Evolutionary Computation.

A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2013, Expert Syst. Appl..

Using the Apriori Algorithm to Improve Rough Sets Results

Ernestina Menasalvas Ruiz, María C. Fernández-Baizán, José María Peña Sánchez, 2000, Rough Sets and Current Trends in Computing.

Integrating KDD Algorithms and RDBMS Code

Ernestina Menasalvas Ruiz, María C. Fernández-Baizán, José María Peña Sánchez, 1998, Rough Sets and Current Trends in Computing.

A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2011, Soft Comput..

A Memetic Differential Evolution Algorithm for Continuous Optimization

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Differential Evolution Based on Learnable Evolution Model for Function Optimization

Esteban Morales, Cristina Juarez-Landin, Edgar García, 2019, MICAI.

Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior?

Alexander Mendiburu, Antonio LaTorre, José María Peña Sánchez, 2014, Inf. Sci..

A new initialization procedure for the distributed estimation of distribution algorithms

Víctor Robles, Antonio LaTorre, José María Peña Sánchez, 2010, Soft Comput..

MIGRATING INDIVIDUALS AND PROBABILISTIC MODELS ON DEDAS: A COMPARISON ON CONTINUOUS FUNCTIONS

Alexander Mendiburu, Santiago Muelas Pascual, Antonio LaTorre de la Fuente, 2010 .

On the evaluation of information exchange strategies in dEDAs

Alexander Mendiburu, Santiago Muelas Pascual, Antonio LaTorre de la Fuente, 2010 .

EDA-Based Logistic Regression Applied to Biomarkers Selection in Breast Cancer

Santiago González, Víctor Robles, José María Peña Sánchez, 2009, IWANN.

Learning and evolving combat game controllers

Simon M. Lucas, Sascha Ossowski, José María Peña Sánchez, 2012, 2012 IEEE Conference on Computational Intelligence and Games (CIG).

vBattle: A new framework to simulate medium-scale battles in individual-per-individual basis

Sascha Ossowski, José María Peña Sánchez, Luis Peña, 2009, 2009 IEEE Symposium on Computational Intelligence and Games.

A Model for Generating Synthetic Dendrites of Cortical Neurons

Javier DeFelipe, José María Peña Sánchez, Ruth Benavides-Piccione, 2010, IEA/AIE.

3D dendritic spine automatic detection and segmentation through samples obtained by confocal microscopy

José María Peña Sánchez, Laura Fernández-Soria, J. Sánchez, 2012, 2012 International Conference on High Performance Computing & Simulation (HPCS).

A comprehensive comparison of large scale global optimizers

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2015, Inf. Sci..

Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2013, Memetic Comput..

Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2010, GECCO '10.

Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2010, GECCO '10.

Simulation of the release and diffusion of neurotransmitters in neuronal synapses: Analysis and modelling

José María Peña Sánchez, Ángel Merchán-Pérez, Elena Gómez Barroso, 2012, 2012 International Conference on High Performance Computing & Simulation (HPCS).

Learning hybridization strategies in evolutionary algorithms

Alex Alves Freitas, Antonio LaTorre, José María Peña Sánchez, 2010, Intell. Data Anal..

From digital genetics to knowledge discovery: Perspectives in genetic network understanding

Christophe Rigotti, Guillaume Beslon, David P. Parsons, 2010, Intell. Data Anal..

A direct optimization approach to the P300 speller

Roberto Santana, Antonio LaTorre, José María Peña Sánchez, 2011, GECCO '11.

Designer-driven 3D buildings generated using Variable Neighborhood Search

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2014, 2014 IEEE Conference on Computational Intelligence and Games.

Using multiple offspring sampling to guide genetic algorithms to solve permutation problems

Víctor Robles, Antonio LaTorre, José María Peña Sánchez, 2008, GECCO '08.

Benchmarking a hybrid DE-RHC algorithm on real world problems

Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).