| 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 | 292 | 2021 |
| 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 | 166* | 2021 |
| 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 | 147 | 2013 |
| 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 | 141 | 2011 |
| A comprehensive comparison of large scale global optimizers A LaTorre, S Muelas, JM Peña Information Sciences 316, 517-549, 2015 | 134 | 2015 |
| 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 | 112 | 2018 |
| 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 | 110 | 2018 |
| Multiple offspring sampling in large scale global optimization A LaTorre, S Muelas, JM Peña 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 78 | 2012 |
| 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 | 68 | 2013 |
| 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 | 67 | 2013 |
| 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 | 62 | 2015 |
| A memetic differential evolution algorithm for continuous optimization S Muelas, A LaTorre, JM Peña Intelligent Systems Design and Applications, 2009. ISDA'09. Ninth …, 2009 | 46 | 2009 |
| A framework for hybrid dynamic evolutionary algorithms: multiple offspring sampling (mos) A LaTorre Universidad Politécnica de Madrid, 2009 | 41* | 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 | 39 | 2017 |
| 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 | 33 | 2011 |
| Military applications of machine learning: A bibliometric perspective JJ Galán, RA Carrasco, A LaTorre Mathematics 10 (9), 1397, 2022 | 28 | 2022 |
| Fostering interpretability of data mining models through data perturbation S Belkoura, M Zanin, A LaTorre Expert Systems with Applications 137, 191-201, 2019 | 20 | 2019 |
| 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 | 20 | 2014 |
| 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 | 20 | 2013 |
| Learning hybridization strategies in evolutionary algorithms A LaTorre, JM Pena, S Muelas, AA Freitas Intelligent Data Analysis 14 (3), 333-354, 2010 | 19 | 2010 |
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