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 | 273 | 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 | 173 | 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 | 165 | 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 | 64 | 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 | 60 | 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 | 51 | 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 | 46 | 2022 |
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 | 38 | 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 | 35 | 2019 |
An algorithm comparison for dynamic optimization problems IG Del Amo, DA Pelta, JR González, AD Masegosa Applied Soft Computing 12 (10), 3176-3192, 2012 | 29 | 2012 |
A cooperative strategy for solving dynamic optimization problems JR González, AD Masegosa, IJ García Memetic Computing 3 (1), 3-14, 2011 | 29 | 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 | 29 | 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 | 28 | 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 | 23 | 2022 |
An algorithm portfolio for the dynamic maximal covering location problem JF Calderín, AD Masegosa, DA Pelta Memetic Computing 9, 141-151, 2017 | 23 | 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 | 20 | 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 | 20 | 2016 |
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 | 19 | 2020 |
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 |
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 |