Antonio D. Masegosa
Antonio D. Masegosa
IKERBASQUE/DeustoTech, Deusto Institute of Technology, University of Deusto
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Cited by
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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
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
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
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
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
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
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
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
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
An algorithm comparison for dynamic optimization problems
IG Del Amo, DA Pelta, JR González, AD Masegosa
Applied Soft Computing 12 (10), 3176-3192, 2012
A cooperative strategy for solving dynamic optimization problems
JR González, AD Masegosa, IJ García
Memetic Computing 3 (1), 3-14, 2011
A framework for developing optimization-based decision support systems
JR González, DA Pelta, AD Masegosa
Expert Systems with Applications 36 (3), 4581-4588, 2009
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
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
An algorithm portfolio for the dynamic maximal covering location problem
JF Calderín, AD Masegosa, DA Pelta
Memetic Computing 9, 141-151, 2017
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
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
Cooperative strategies and reactive search: A hybrid model proposal
A Masegosa, F Mascia, D Pelta, M Brunato
Learning and Intelligent Optimization, 206-220, 2009
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
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
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