Antonio David
Masegosa Arredondo
Universidad de Deusto
Bilbao, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Deusto (44)
2024
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A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem
Expert Systems with Applications, Vol. 252
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Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation
IEEE Access, Vol. 12, pp. 29503-29524
2023
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A two-phase metaheuristic approach for the parcel locker location problem: First select then merge
2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023
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Inclusion of time-dependent parameters in location and orienteering problems
Anales de la Academia de Ciencias de Cuba, Vol. 13, Núm. 4
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Modeling of shared mobility services - An approach in between aggregate four-step and disaggregate agent-based approaches for strategic transport planning
Journal of Intelligent Transportation Systems: Technology, Planning, and Operations
2022
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Optimization and Machine Learning Applied to Last-Mile Logistics: A Review
Sustainability (Switzerland), Vol. 14, Núm. 9
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Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution
Swarm and Evolutionary Computation, Vol. 71
2021
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A taxonomy of food supply chain problems from a computational intelligence perspective
Sensors, Vol. 21, Núm. 20
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Assessment of the impact of a fully electrified postal fleet for urban freight transportation
International Journal of Electrical Power and Energy Systems, Vol. 129
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Cataloging and Assessing City-scale Mobility Data
Advances in Intelligent Systems and Computing
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Partial Evaluation and Efficient Discarding for the Maximal Covering Location Problem
IEEE Access, Vol. 9, pp. 20542-20556
2020
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A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data
Transportation Research Part C: Emerging Technologies, Vol. 112, pp. 62-77
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Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial]
IEEE Intelligent Transportation Systems Magazine
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Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems
Studies in Computational Intelligence (Springer), pp. 187-204
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General-purpose automated machine learning for transportation: a case study of auto-sklearn for traffic forecasting
Communications in Computer and Information Science
2019
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A Taxonomy of Traffic Forecasting Regression Problems from a Supervised Learning Perspective
IEEE Access, Vol. 7, pp. 68185-68205
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Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics
Applied Intelligence, Vol. 49, Núm. 8, pp. 2807-2822
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Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
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Nuevos enfoques heurísticos para resolver problemas combinatorios
Anales de la Academia de Ciencias de Cuba, Vol. 9, Núm. 3, pp. 58-60
2018
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A new approach for information dissemination in vanets based on covering location and metaheuristics
Studies in Fuzziness and Soft Computing (Springer Verlag), pp. 179-202