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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
1932021
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
1402013
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
1332011
A comprehensive comparison of large scale global optimizers
A LaTorre, S Muelas, JM Peña
Information Sciences 316, 517-549, 2015
1272015
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
112*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
992018
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
972018
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
612013
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
562015
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
562013
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
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
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
312017
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
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
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
A LaTorre, JM Peña, V Robles, S Muelas
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
172008
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20