Publicaciones en las que colabora con Antonio David Masegosa Arredondo (21)

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

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

2019

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

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

  2. ¿Cómo puede la inteligencia artificial reducir los accidentes de tráfico y evitar atascos?

    Servicio de Publicaciones = Argitalpen Zerbitzua

2018

  1. 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

  2. Applications of soft computing in intelligent transportation systems

    Studies in Fuzziness and Soft Computing (Springer Verlag), pp. 63-81

  3. Ensemble and fuzzy techniques applied to imbalanced traffic congestion datasets: A comparative study

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

  4. Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems

    Neurocomputing, Vol. 271, pp. 2-8

2017

  1. A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy

    Soft Computing, Vol. 21, Núm. 18, pp. 5295-5308

2016

  1. A Comparative Study on the Performance of Evolutionary Fuzzy and Crisp Rule Based Classification Methods in Congestion Prediction

    Transportation Research Procedia

  2. A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy

    IEEE Transactions on Intelligent Transportation Systems, Vol. 17, Núm. 2, pp. 557-569

  3. GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization

    Expert Systems with Applications, Vol. 55, pp. 508-519

  4. Short-term traffic congestion forecasting using hybrid metaheuristics and rule-based methods: A comparative study

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

  5. TIMON project: Description and preliminary tests for traffic prediction using evolutionary techniques

    GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference

2015

  1. A new optimization approach for indoor location based on Differential Evolution

    PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY

  2. A novel software architecture for the provision of context-aware semantic transport information

    Sensors (Switzerland), Vol. 15, Núm. 6, pp. 12299-12322

  3. An adaptive local search with prioritized tracking for Dynamic Environments

    International Journal of Computational Intelligence Systems, Vol. 8, Núm. 6, pp. 1053-1075