Antonio D. Masegosa

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

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Antonio D. Masegosa

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

Zweryfikowany adres z deusto.es - Strona główna

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


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	222	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	19	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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