Publicaciones (73) Publicaciones de Antonio David Masegosa Arredondo

2024

  1. 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

  2. Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation

    IEEE Access, Vol. 12, pp. 29503-29524

2023

  1. 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

  2. Inclusion of time-dependent parameters in location and orienteering problems

    Anales de la Academia de Ciencias de Cuba, Vol. 13, Núm. 4

  3. 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

  1. Ciencia de datos para mejorar la toma de decisiones en un mundo cambiante: el caso de la movilidad urbana

    Transformación y espiritualidad: miradas para un mundo en crisis (Herder), pp. 309-334

  2. Optimization and Machine Learning Applied to Last-Mile Logistics: A Review

    Sustainability (Switzerland), Vol. 14, Núm. 9

  3. Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution

    Swarm and Evolutionary Computation, Vol. 71

2021

  1. A taxonomy of food supply chain problems from a computational intelligence perspective

    Sensors, Vol. 21, Núm. 20

  2. Assessment of the impact of a fully electrified postal fleet for urban freight transportation

    International Journal of Electrical Power and Energy Systems, Vol. 129

  3. Cataloging and Assessing City-scale Mobility Data

    Advances in Intelligent Systems and Computing

  4. Partial Evaluation and Efficient Discarding for the Maximal Covering Location Problem

    IEEE Access, Vol. 9, pp. 20542-20556

2020

  1. 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

  2. Boosting coopetition through Alastria, data sharing and Artificial Intelligence

    Alastria mission and vision. A Multidisciplinary research (Reus), pp. 221-232

  3. Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial]

    IEEE Intelligent Transportation Systems Magazine

  4. Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems

    Studies in Computational Intelligence (Springer), pp. 187-204

  5. General-purpose automated machine learning for transportation: a case study of auto-sklearn for traffic forecasting

    Communications in Computer and Information Science

  6. White-box flight simulator built with system dynamics to support urban transportation decision-making and address induced travel demand

    Scientia et Technica, Vol. 25, Núm. 3, pp. 438-447

2019

  1. A Taxonomy of Traffic Forecasting Regression Problems from a Supervised Learning Perspective

    IEEE Access, Vol. 7, pp. 68185-68205

  2. Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics

    Applied Intelligence, Vol. 49, Núm. 8, pp. 2807-2822