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ORCIDAntonio LaTorre
Person information
- affiliation: Universidad Politécnica de Madrid, Spain
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2020 – today
- 2024
[c26]Ivan Izonin, José M. Peña, Antonio LaTorre:
Artificial Intelligence for the Future of Construction - abstract. SMARTINDUSTRY 2024- 2023
- [j17]Miguel Camacho-Ruiz, Ramón Alberto Carrasco, Gema Fernández-Avilés
, Antonio LaTorre:
Tourism destination events classifier based on artificial intelligence techniques. Appl. Soft Comput. 148: 110914 (2023) - [c25]Pablo S. Naharro, José-María Peña, Antonio LaTorre:
Sequential Hybridization of Online Surrogate Models for Continuous Optimization. GECCO Companion 2023: 2297-2303 - [c24]Hugo Moreno, Pablo S. Naharro, Antonio LaTorre, José-María Peña:
Evolutionary-Based Generative Design for Electric Transmission Towers. ICAISC (1) 2023: 439-450 - 2022
- [j16]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: 101176 (2022) - 2021
- [j15]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: 115443 (2021) - [j14]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: 100888 (2021) - [j13]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: 100973 (2021) - [c23]Pablo S. Naharro, Antonio LaTorre, José-María Peña:
Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers. GECCO Companion 2021: 15-16 - 2020
- [j12]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) - [c22]Antonio LaTorre, Daniel Molina:
On The Role Of Execution Order In Hybrid Evolutionary Algorithms. CEC 2020: 1-8 - [i1]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 abs/2004.09969 (2020)
2010 – 2019
- 2019
- [j11]Seddik Belkoura, Massimiliano Zanin, Antonio LaTorre:
Fostering interpretability of data mining models through data perturbation. Expert Syst. Appl. 137: 191-201 (2019) - [c21]Daniel Molina, Arthur R. Nesterenko, Antonio LaTorre:
Comparing Large-Scale Global Optimization Competition winners in a real-world problem. CEC 2019: 359-365 - 2018
- [j10]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): 517-544 (2018) - [c20]Daniel Molina, Antonio LaTorre:
Toolkit for the Automatic Comparison of Optimizers: Comparing Large-Scale Global Optimizers Made Easy. CEC 2018: 1-8 - [c19]Daniel Molina, Antonio LaTorre, Francisco Herrera:
SHADE with Iterative Local Search for Large-Scale Global Optimization. CEC 2018: 1-8 - 2017
- [c18]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: 1063-1070 - [c17]Antonio LaTorre, José-María Peña:
On the scalability of population restart mechanisms on large-scale global optimization. CEC 2017: 1071-1078 - 2015
- [j9]Antonio LaTorre, Santiago Muelas, José María Peña Sánchez:
A comprehensive comparison of large scale global optimizers. Inf. Sci. 316: 517-549 (2015) - 2014
- [j8]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: 231-254 (2014) - [c16]José María Peña Sánchez, Javier Viedma, Santiago Muelas, Antonio LaTorre, Luís Peña:
Designer-driven 3D buildings generated using Variable Neighborhood Search. CIG 2014: 1-8 - 2013
- [j7]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): 5516-5531 (2013) - [j6]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): 6521-6530 (2013) - [j5]Antonio LaTorre, Santiago Muelas, José María Peña Sánchez:
Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions. Memetic Comput. 5(4): 295-309 (2013) - [c15]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: 2742-2749 - [c14]José María Peña Sánchez, Ernestina Menasalvas Ruiz, Santiago Muelas, Antonio LaTorre, Luís Peña, Sascha Ossowski:
Soft computing for content generation: Trading market in a basketball management video game. CIG 2013: 1-8 - 2012
- [j4]Santiago Muelas, Antonio LaTorre, José María Peña Sánchez:
A new methodology for the automatic creation of adaptive hybrid algorithms. Intell. Data Anal. 16(1): 3-23 (2012) - [c13]Antonio LaTorre, Santiago Muelas, José María Peña Sánchez:
Multiple Offspring Sampling in Large Scale Global Optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j3]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): 2187-2199 (2011) - [c12]Antonio LaTorre, Santiago Muelas, José María Peña Sánchez:
Benchmarking a hybrid DE-RHC algorithm on real world problems. IEEE Congress on Evolutionary Computation 2011: 1027-1033 - [c11]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: 1687-1694 - [c10]Roberto Santana, Santiago Muelas, Antonio LaTorre, José María Peña Sánchez:
A direct optimization approach to the P300 speller. GECCO 2011: 1747-1754 - 2010
- [j2]Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Alex Alves Freitas:
Learning hybridization strategies in evolutionary algorithms. Intell. Data Anal. 14(3): 333-354 (2010) - [j1]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): 713-720 (2010) - [c9]Santiago Muelas, José María Peña Sánchez, Antonio LaTorre:
Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions. EvoApplications (1) 2010: 422-431 - [c8]Antonio LaTorre, Santiago Muelas, José María Peña Sánchez:
Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed. GECCO (Companion) 2010: 1649-1656 - [c7]Antonio LaTorre, Santiago Muelas, José María Peña Sánchez:
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed. GECCO (Companion) 2010: 1725-1730
2000 – 2009
- 2009
- [b1]Antonio LaTorre:
A framework for hybrid dynamic evolutionary algorithms : multiple offspring sampling (MOS). Technical University of Madrid, Spain, 2009 - [c6]Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Carlos Pascual:
Quality measures to adapt the participation in MOS. IEEE Congress on Evolutionary Computation 2009: 888-895 - [c5]Antonio LaTorre, José María Peña Sánchez, Santiago Muelas, Manuel Zaforas:
Hybrid evolutionary algorithms for large scale continuous problems. GECCO 2009: 1863-1864 - [c4]Luís Peña, Antonio LaTorre, José María Peña Sánchez, Sascha Ossowski:
Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards. HAIS 2009: 336-343 - [c3]Santiago Muelas, Antonio LaTorre, José María Peña Sánchez:
A Memetic Differential Evolution Algorithm for Continuous Optimization. ISDA 2009: 1080-1084 - 2008
- [c2]Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre:
Voronoi-initializated island models for solving real-coded deceptive problems. GECCO 2008: 993-1000 - [c1]Antonio LaTorre, José María Peña Sánchez, Víctor Robles, Santiago Muelas:
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems. GECCO 2008: 1119-1120 - [p1]Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre, P. de Miguel:
Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms. Innovations in Hybrid Intelligent Systems 2008: 199-206
Coauthor Index
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