Publicacions en col·laboració amb investigadors/es de Universidad de Deusto (45)

2025

  1. A Graph Data Model Creation Methodology for Accident Hotspot Prediction in Urban Areas

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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

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

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

    IEEE Intelligent Transportation Systems Magazine

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

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

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

    Communications in Computer and Information Science

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

  3. Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks

    GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

  4. Nuevos enfoques heurísticos para resolver problemas combinatorios

    Anales de la Academia de Ciencias de Cuba, Vol. 9, Núm. 3, pp. 58-60