Antonio D. Masegosa

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Enrique OnievaUniversity of DeustoVerified email at deusto.es
Eneko OsabaTECNALIA Research & InnovationVerified email at tecnalia.com
Asier PerallosUniversity of DeustoVerified email at deusto.es
David PeltaModels of Decision and Optimization Research Group, Dept. of Comp. Science and A.I., Universidad deVerified email at ugr.es
Pedro López-GarcíaEXUS AI LabsVerified email at exus.co.uk
Juan S. Angarita-ZapataScientific Researcher, Aimsun, Barcelona, SpainVerified email at aimsun.com
Juan Ramón González GonzálezPhD Researcher, University of GranadaVerified email at decsai.ugr.es
Pablo J. Villacorta IglesiasPhD in Computer Science and AI. Data scientist at Seguros SantalucíaVerified email at decsai.ugr.es
Jenny Fajardo CalderínDeusto Institute of Technology (DeustoTech), University of Deusto.Verified email at deusto.es
Ignacio J. García del AmoPhD, Data Scientist @ PiperLabVerified email at piperlab.es
Dagoberto Castellanos NievesAssociate Professor, Department of Informatics and Systems,University of La LagunaVerified email at ull.edu.es
María Teresa LamataUniversidad de GranadaVerified email at decsai.ugr.es
José Luis VerdegayProfesor Emérito. University of GranadaVerified email at ugr.es
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceVerified email at nottingham.ac.uk
Xin-She Yang (DPhil)Computational intelligence, swarm intelligence, optimization, metaheuristics, nature-inspiredVerified email at mdx.ac.uk
Alfonso BahilloUniversity of DeustoVerified email at deusto.es
Peter HellinckxProfessor at University of AntwerpVerified email at uantwerpen.be
Luis Enrique Díez Blanco (ORCID: 00...PhD, Assistant Professor, Engineering Faculty, University of Deusto, Donostia-San Sebastian, SpainVerified email at deusto.es
Asier MorenoUniversity of DeustoVerified email at deusto.es
Alejandro Rosete SuárezUniversidad Tecnológica de La Habana "José Antonio Echevería", CUJAEVerified email at ceis.cujae.edu.cu

Antonio D. Masegosa

IKERBASQUE/DeustoTech, Deusto Institute of Technology, University of Deusto

Verified email at deusto.es - Homepage

Computational Intelligence Soft Computing Intelligent Transportation Systems Hybrid Metaheuristics Dynamic and Uncertain Env


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A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data T Bogaerts, AD Masegosa, JS Angarita-Zapata, E Onieva, P Hellinckx Transportation Research Part C: Emerging Technologies 112, 62-77, 2020	221	2020
A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy E Osaba, XS Yang, F Diaz, E Onieva, AD Masegosa, A Perallos Soft Computing 21, 5295-5308, 2017	167	2017
A hybrid method for short-term traffic congestion forecasting using genetic algorithms and cross entropy P Lopez-Garcia, E Onieva, E Osaba, AD Masegosa, A Perallos IEEE Transactions on Intelligent Transportation Systems 17 (2), 557-569, 2015	157	2015
A new fuzzy linguistic approach to qualitative Cross Impact Analysis PJ Villacorta, AD Masegosa, D Castellanos, MT Lamata Applied Soft Computing 24, 19-30, 2014	61	2014
Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems E Osaba, R Carballedo, F Diaz, E Onieva, AD Masegosa, A Perallos Neurocomputing 271, 2-8, 2018	59	2018
Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics P Lopez-Garcia, AD Masegosa, E Osaba, E Onieva, A Perallos Applied Intelligence 49 (8), 2807-2822, 2019	48	2019
GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization P Lopez-Garcia, E Onieva, E Osaba, AD Masegosa, A Perallos Expert Systems with Applications 55, 508-519, 2016	37	2016
A taxonomy of traffic forecasting regression problems from a supervised learning perspective JS Angarita-Zapata, AD Masegosa, I Triguero IEEE Access 7, 68185-68205, 2019	32	2019
A framework for developing optimization-based decision support systems JR González, DA Pelta, AD Masegosa Expert Systems with Applications 36 (3), 4581-4588, 2009	29	2009
An algorithm comparison for dynamic optimization problems IG Del Amo, DA Pelta, JR González, AD Masegosa Applied Soft Computing 12 (10), 3176-3192, 2012	27	2012
A linguistic approach to structural analysis in prospective studies PJ Villacorta, AD Masegosa, D Castellanos, MT Lamata Advances on Computational Intelligence: 14th International Conference on …, 2012	27	2012
A cooperative strategy for solving dynamic optimization problems JR González, AD Masegosa, IJ García Memetic Computing 3 (1), 3-14, 2011	27	2011
Optimization and machine learning applied to last-mile logistics: A review N Giuffrida, J Fajardo-Calderin, AD Masegosa, F Werner, M Steudter, ... Sustainability 14 (9), 5329, 2022	26	2022
An algorithm portfolio for the dynamic maximal covering location problem JF Calderín, AD Masegosa, DA Pelta Memetic Computing 9, 141-151, 2017	22	2017
Fuzzy models and resolution methods for covering location problems: an annotated bibliography VC Guzmáan, AD Masegosa, DA Pelta, JL Verdegay International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2016	21	2016
A taxonomy of food supply chain problems from a computational intelligence perspective JS Angarita-Zapata, A Alonso-Vicario, AD Masegosa, J Legarda Sensors 21 (20), 6910, 2021	20	2021
Cooperative strategies and reactive search: A hybrid model proposal A Masegosa, F Mascia, D Pelta, M Brunato Learning and Intelligent Optimization, 206-220, 2009	18	2009
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution A Ghosh, S Das, AK Das, R Senkerik, A Viktorin, I Zelinka, AD Masegosa Swarm and Evolutionary Computation 71, 101057, 2022	17	2022
Algorithm portfolio based scheme for dynamic optimization problems JF Calderín, AD Masegosa, DA Pelta International Journal of Computational Intelligence Systems 8 (4), 667-689, 2015	16	2015
General-purpose automated machine learning for transportation: A case study of auto-sklearn for traffic forecasting JS Angarita-Zapata, AD Masegosa, I Triguero International Conference on Information Processing and Management of …, 2020	15	2020

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