A. LaTorre

发表

Comparative Study of Metaheuristics for the Curve-Fitting Problem: Modeling Neurotransmitter Diffusion and Synaptic Receptor Activation

J. Peña, Á. Merchán-Pérez, Jesús Montes, 2015 .

Military Applications of Machine Learning: A Bibliometric Perspective

R. Carrasco, A. LaTorre, José Javier Galán, 2022, Mathematics.

Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation

Pablo S. Naharro, J. Peña, A. LaTorre, 2022, Swarm Evol. Comput..

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

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

3D segmentation of neuronal nuclei and cell-type identification using multi-channel information

Javier DeFelipe, José M. Peña, Antonio LaTorre, 2021, Expert Syst. Appl..

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..

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

Javier Del Ser, Eneko Osaba, Daniel Molina, 2021, Swarm Evol. Comput..

Supercomputer Scheduling with Combined Evolutionary Techniques

Antonio LaTorre, José-María Peña, P. de Miguel, 2008 .

InTool Explorer: An Interactive Exploratory Analysis Tool for Versatile Visualizations of Neuroscientific Data

Cosmin Toader, Luis Pastor, Javier DeFelipe, 2019, Front. Neuroanat..

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

Javier Del Ser, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, 2021, Swarm Evol. Comput..

Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics pdf

Javier Del Ser, Eneko Osaba, Antonio LaTorre, 2020, ArXiv.

An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions

Francisco Herrera, Daniel Molina, Antonio LaTorre, 2018, Cognitive Computation.

SHADE with Iterative Local Search for Large-Scale Global Optimization

Francisco Herrera, Daniel Molina, Antonio LaTorre, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

SoftFEM: The Soft Finite Element Method

José Maria Peña, Antoine Jérusalem, Antonio LaTorre, 2019, International Journal for Numerical Methods in Engineering.

A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark

Antonio LaTorre, Jose-Maria Pena, J. Peña, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions

F. Herrera, D. Molina, A. LaTorre, 2018, Cognitive Computation.

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.

Optimizing the Design of Composite Panels using an Improved Genetic Algorithm

José M. Peña, Antonio LaTorre, V ´ õctor Robles, 2008 .

Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers

Antonio LaTorre, Pablo S. Naharro, José-María Peña, 2021, GECCO Companion.

A distributed VNS algorithm for optimizing dial-a-ride problems in large-scale scenarios

Antonio LaTorre, Santiago Muelas, José-María Peña, 2015 .

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..

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.

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..

Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit

Antonio LaTorre, Man Ting Kwong, Julián A. García-Grajales, 2020, J. Comput. Sci..

3D segmentations of neuronal nuclei from confocal microscope image stacks

Javier DeFelipe, Antonio LaTorre, Santiago Muelas, 2013, Front. Neuroanat..