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Antonio LaTorre
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A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems
E Osaba, E Villar-Rodriguez, J Del Ser, AJ Nebro, D Molina, A LaTorre, ...
Swarm and Evolutionary Computation 64, 100888, 2021
2262021
Large scale global optimization: Experimental results with MOS-based hybrid algorithms
A LaTorre, S Muelas, JM Peña
2013 IEEE congress on evolutionary computation, 2742-2749, 2013
1412013
A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test
A LaTorre, S Muelas, JM Peña
Soft Computing 15, 2187-2199, 2011
1362011
A comprehensive comparison of large scale global optimizers
A LaTorre, S Muelas, JM Peña
Information Sciences 316, 517-549, 2015
1292015
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
A LaTorre, D Molina, E Osaba, J Poyatos, J Del Ser, F Herrera
Swarm and Evolutionary Computation 67, 100973, 2021
127*2021
An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions
D Molina, A LaTorre, F Herrera
Cognitive Computation 10, 517-544, 2018
1042018
SHADE with iterative local search for large-scale global optimization
D Molina, A LaTorre, F Herrera
2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018
1002018
Multiple offspring sampling in large scale global optimization
A LaTorre, S Muelas, JM Peña
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
752012
Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images
A LaTorre, L Alonso-Nanclares, S Muelas, JM Peña, J DeFelipe
Expert Systems with Applications 40 (16), 6521-6530, 2013
642013
A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city
S Muelas, A LaTorre, JM Peña
Expert Systems with Applications 40 (14), 5516-5531, 2013
582013
A distributed VNS algorithm for optimizing dial-a-ride problems in large-scale scenarios
S Muelas, A LaTorre, JM Pena
Transportation Research Part C: Emerging Technologies 54, 110-130, 2015
572015
A memetic differential evolution algorithm for continuous optimization
S Muelas, A LaTorre, JM Peña
Intelligent Systems Design and Applications, 2009. ISDA'09. Ninth …, 2009
462009
A framework for hybrid dynamic evolutionary algorithms: multiple offspring sampling (mos)
A LaTorre
Universidad Politécnica de Madrid, 2009
39*2009
A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark
A LaTorre, JM Peña
2017 IEEE congress on evolutionary computation (CEC), 1063-1070, 2017
332017
Benchmarking a hybrid DE-RHC algorithm on real world problems
A LaTorre, S Muelas, JM Peña
2011 IEEE congress of evolutionary computation (CEC), 1027-1033, 2011
322011
Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior?
S Muelas, A Mendiburu, A LaTorre, JM Peña
Information Sciences 268, 231-254, 2014
202014
3D segmentations of neuronal nuclei from confocal microscope image stacks
A LaTorre, L Alonso-Nanclares, S Muelas, JM Peña, J DeFelipe
Frontiers in neuroanatomy 7, 49, 2013
202013
Military applications of machine learning: A bibliometric perspective
JJ Galán, RA Carrasco, A LaTorre
Mathematics 10 (9), 1397, 2022
192022
Learning hybridization strategies in evolutionary algorithms
A LaTorre, JM Pena, S Muelas, AA Freitas
Intelligent Data Analysis 14 (3), 333-354, 2010
192010
Fostering interpretability of data mining models through data perturbation
S Belkoura, M Zanin, A LaTorre
Expert Systems with Applications 137, 191-201, 2019
182019
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