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
Ignacio J. García del AmoPhD, Data Scientist @ PiperLabVerified email at piperlab.es
Jenny Fajardo CalderínDeusto Institute of Technology (DeustoTech), University of Deusto.Verified email at deusto.es
Dagoberto Castellanos NievesAssociate Professor, Department of Informatics and Systems,University of La LagunaVerified email at ull.edu.es
José Luis VerdegayProfessor of Computer Science and Artificial Intelligence, University of GranadaVerified email at ugr.es
María Teresa LamataUniversidad de GranadaVerified email at decsai.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
Luis Enrique Díez BlancoPhD, Assistant Professor, Engineering Faculty, University of Deusto, Donostia-San Sebastian, SpainVerified email at deusto.es
Peter HellinckxProfessor at University of AntwerpVerified email at uantwerpen.be
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 Research Associate/University of 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	182	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	157	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	149	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	57	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	55	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	41	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	32	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	29	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	28	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	26	2012
A cooperative strategy for solving dynamic optimization problems JR González, AD Masegosa, IJ García Memetic Computing 3 (1), 3-14, 2011	26	2011
An algorithm portfolio for the dynamic maximal covering location problem JF Calderín, AD Masegosa, DA Pelta Memetic Computing 9, 141-151, 2017	21	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	20	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	17	2021
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	17	2015
Cooperative strategies and reactive search: A hybrid model proposal A Masegosa, F Mascia, D Pelta, M Brunato Learning and Intelligent Optimization, 206-220, 2009	17	2009
General-purpose automated machine learning for transportation: A case study of auto-sklearn for traffic forecasting JS Angarita-Zapata, AD Masegosa, I Triguero Information Processing and Management of Uncertainty in Knowledge-Based …, 2020	14	2020
A centralised cooperative strategy for continuous optimisation: The influence of cooperation in performance and behaviour AD Masegosa, DA Pelta, JL Verdegay Information Sciences 219, 73-92, 2013	13	2013
Sensitivity analysis in the scenario method: A multi-objective approach PJ Villacorta, AD Masegosa, D Castellanos, P Novoa, DA Pelta 2011 11th International Conference on Intelligent Systems Design and …, 2011	13	2011

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