Antonio D. Masegosa

Dikutip oleh

	Semua	Sejak 2020
Kutipan	1662	1119
indeks-h	19	15
indeks-i10	35	19

260

130

195

201020112012201320142015201620172018201920202021202220232024202522 13 17 28 35 33 45 83 114 137 152 204 206 240 248 65

Akses publik

Lihat semua

44 artikel

9 artikel

tersedia

tidak tersedia

Berdasarkan pada mandat pendanaan

Pengarang bersama

Enrique OnievaUniversity of DeustoEmail yang diverifikasi di deusto.es
David PeltaModels of Decision and Optimization Research Group, Dept. of Comp. Science and A.I., Universidad deEmail yang diverifikasi di ugr.es
Asier PerallosUniversity of DeustoEmail yang diverifikasi di deusto.es
Eneko OsabaTECNALIA Research & InnovationEmail yang diverifikasi di tecnalia.com
Juan S. Angarita-ZapataScientific Researcher, Aimsun, Barcelona, SpainEmail yang diverifikasi di aimsun.com
Pedro López-GarcíaEXUS AI LabsEmail yang diverifikasi di exus.co.uk
Jenny Fajardo CalderínDeusto Institute of Technology (DeustoTech), University of Deusto.Email yang diverifikasi di deusto.es
Pablo J. Villacorta IglesiasPhD in Computer Science and AI. Data scientist at Seguros SantalucíaEmail yang diverifikasi di unir.net
Juan Ramón González GonzálezPhD Researcher, University of GranadaEmail yang diverifikasi di decsai.ugr.es
María Teresa LamataUniversidad de GranadaEmail yang diverifikasi di decsai.ugr.es
Ignacio J. García del AmoPhD, Data Scientist @ PiperLabEmail yang diverifikasi di piperlab.es
Dagoberto Castellanos NievesAssociate Professor, Department of Informatics and Systems,University of La LagunaEmail yang diverifikasi di ull.edu.es
José Luis Verdegay (ORCID: 0000-00...Professor Emeritus. University of GranadaEmail yang diverifikasi di ugr.es
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceEmail yang diverifikasi di ugr.es
Xin-She Yang (DPhil)Computational intelligence, swarm intelligence, optimization, metaheuristics, nature-inspiredEmail yang diverifikasi di mdx.ac.uk
Peter HellinckxProfessor at University of AntwerpEmail yang diverifikasi di uantwerpen.be
Alfonso BahilloUniversity of DeustoEmail yang diverifikasi di deusto.es
Luis Enrique Díez Blanco (ORCID: 00...PhD, Assistant Professor, Engineering Faculty, University of Deusto, Donostia-San Sebastian, SpainEmail yang diverifikasi di deusto.es
Asier MorenoUniversity of DeustoEmail yang diverifikasi di deusto.es
Arka Ghosh, PhDAssociate Researcher, DeustoTech, University of Deusto, SpainEmail yang diverifikasi di deusto.es

Ikuti

Antonio D. Masegosa

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

Email yang diverifikasi di deusto.es - Beranda

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


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	352	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	178	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	172	2015
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	84	2022
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	71	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	63	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	54	2019
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	44	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	38	2016
A cooperative strategy for solving dynamic optimization problems JR González, AD Masegosa, IJ García Memetic Computing 3 (1), 3-14, 2011	31	2011
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	30	2022
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	30	2021
A framework for developing optimization-based decision support systems JR González, DA Pelta, AD Masegosa Expert Systems with Applications 36 (3), 4581-4588, 2009	30	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	29	2012
An algorithm comparison for dynamic optimization problems IG Del Amo, DA Pelta, JR González, AD Masegosa Applied Soft Computing 12 (10), 3176-3192, 2012	28	2012
A new hyper-heuristic based on adaptive simulated annealing and reinforcement learning for the capacitated electric vehicle routing problem E Rodríguez-Esparza, AD Masegosa, D Oliva, E Onieva Expert Systems with Applications 252, 124197, 2024	25	2024
An algorithm portfolio for the dynamic maximal covering location problem JF Calderín, AD Masegosa, DA Pelta Memetic Computing 9, 141-151, 2017	24	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
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
Assessment of the impact of a fully electrified postal fleet for urban freight transportation M Martínez, A Moreno, I Angulo, C Mateo, AD Masegosa, A Perallos, ... International Journal of Electrical Power & Energy Systems 129, 106770, 2021	18	2021

Sistem tidak dapat melakukan operasi ini. Coba lagi nanti.

Artikel 1–20

Kutipan per tahun

Kutipan duplikat

Kutipan yang digabung

Tambahkan pengarang bersamaPengarang bersama

Ikuti

Dikutip oleh

Pengarang bersama