Antonio LaTorre

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 20

Top Topics

Global Optimization

Hybrid Evolutionary Algorithms

Top Venues

Swarm Evol. Comput.

GECCO Companion

Publications

Ivan Izonin, José M. Peña, Antonio LaTorre
Artificial Intelligence for the Future of Construction - abstract. SMARTINDUSTRY (2024)
Hugo Moreno, Pablo S. Naharro, Antonio LaTorre, José-María Peña
Evolutionary-Based Generative Design for Electric Transmission Towers. ICAISC (1) (2023)
Miguel Camacho-Ruiz, Ramón Alberto Carrasco, Gema Fernández-Avilés, Antonio LaTorre
Tourism destination events classifier based on artificial intelligence techniques. Appl. Soft Comput. 148 (2023)
Pablo S. Naharro, José-María Peña, Antonio LaTorre
Sequential Hybridization of Online Surrogate Models for Continuous Optimization. GECCO Companion (2023)
Pablo S. Naharro, Pablo Toharia, Antonio LaTorre, José-María Peña
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation. Swarm Evol. Comput. 75 (2022)
Pablo S. Naharro, Antonio LaTorre, José-María Peña
Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers. GECCO Companion (2021)
Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Poyatos, Javier Del Ser, Francisco Herrera
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. Swarm Evol. Comput. 67 (2021)
Antonio LaTorre, Lidia Alonso-Nanclares, José M. Peña, Javier DeFelipe
3D segmentation of neuronal nuclei and cell-type identification using multi-channel information. Expert Syst. Appl. 183 (2021)
Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. 64 (2021)
Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Del Ser, Francisco Herrera
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics. CoRR (2020)
Antonio LaTorre, Daniel Molina
On The Role Of Execution Order In Hybrid Evolutionary Algorithms. CEC (2020)
Antonio LaTorre, Man Ting Kwong, Julián A. García-Grajales, Riyi Shi, Antoine Jérusalem, José-María Peña
Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit. J. Comput. Sci. 39 (2020)
Seddik Belkoura, Massimiliano Zanin, Antonio LaTorre
Fostering interpretability of data mining models through data perturbation. Expert Syst. Appl. 137 (2019)
Daniel Molina, Arthur R. Nesterenko, Antonio LaTorre
Comparing Large-Scale Global Optimization Competition winners in a real-world problem. CEC (2019)
Daniel Molina, Antonio LaTorre
Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy. CEC (2018)
Daniel Molina, Antonio LaTorre, Francisco Herrera
SHADE with Iterative Local Search for Large-Scale Global Optimization. CEC (2018)
Daniel Molina, Antonio LaTorre, Francisco Herrera
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions. Cogn. Comput. 10 (4) (2018)
Antonio LaTorre, José-María Peña
A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark. CEC (2017)
Antonio LaTorre, José-María Peña
On the scalability of population restart mechanisms on large-scale global optimization. CEC (2017)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
A comprehensive comparison of large scale global optimizers. Inf. Sci. 316 (2015)
José María Peña Sánchez, Javier Viedma, Santiago Muelas, Antonio LaTorre, Luis Peña
Designer-driven 3D buildings generated using Variable Neighborhood Search. CIG (2014)
Santiago Muelas, Alexander Mendiburu, Antonio LaTorre, José María Peña Sánchez
Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior? Inf. Sci. 268 (2014)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions. Memetic Comput. 5 (4) (2013)
Santiago Muelas, Antonio LaTorre, José María Peña Sánchez
A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city. Expert Syst. Appl. 40 (14) (2013)
José María Peña Sánchez, Ernestina Menasalvas Ruiz, Santiago Muelas, Antonio LaTorre, Luis Peña, Sascha Ossowski
Soft computing for content generation: Trading market in a basketball management video game. CIG (2013)
Antonio LaTorre, Lidia Alonso-Nanclares, Santiago Muelas, José María Peña Sánchez, Javier DeFelipe
Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images. Expert Syst. Appl. 40 (16) (2013)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
Large scale global optimization: Experimental results with MOS-based hybrid algorithms. IEEE Congress on Evolutionary Computation (2013)
Santiago Muelas, Antonio LaTorre, José María Peña Sánchez
A new methodology for the automatic creation of adaptive hybrid algorithms. Intell. Data Anal. 16 (1) (2012)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
Multiple Offspring Sampling in Large Scale Global Optimization. IEEE Congress on Evolutionary Computation (2012)
Roberto Santana, Santiago Muelas, Antonio LaTorre, José María Peña Sánchez
A direct optimization approach to the P300 speller. GECCO (2011)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test. Soft Comput. 15 (11) (2011)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
Benchmarking a hybrid DE-RHC algorithm on real world problems. IEEE Congress on Evolutionary Computation (2011)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez, Roberto Santana, Ángel Merchán-Pérez, José-Rodrigo Rodríguez
A differential evolution algorithm for the detection of synaptic vesicles. IEEE Congress on Evolutionary Computation (2011)
Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Alex Alves Freitas
Learning hybridization strategies in evolutionary algorithms. Intell. Data Anal. 14 (3) (2010)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed. GECCO (Companion) (2010)
Santiago Muelas, José María Peña Sánchez, Antonio LaTorre, Víctor Robles
A new initialization procedure for the distributed estimation of distribution algorithms. Soft Comput. 15 (4) (2010)
Santiago Muelas, José María Peña Sánchez, Antonio LaTorre
Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions. EvoApplications (1) (2010)
Antonio LaTorre, Santiago Muelas, José María Peña Sánchez
Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed. GECCO (Companion) (2010)
Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Manuel Zaforas
Hybrid evolutionary algorithms for large scale continuous problems. GECCO (2009)
Santiago Muelas, Antonio LaTorre, José María Peña Sánchez
A Memetic Differential Evolution Algorithm for Continuous Optimization. ISDA (2009)
Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Carlos Pascual
Quality measures to adapt the participation in MOS. IEEE Congress on Evolutionary Computation (2009)
Luis Peña, Antonio LaTorre, José María Peña Sánchez, Sascha Ossowski
Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards. HAIS (2009)
Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre
Voronoi-initializated island models for solving real-coded deceptive problems. GECCO (2008)
Antonio LaTorre, José María Peña Sánchez, Víctor Robles, Santiago Muelas
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems. GECCO (2008)