Publicaciones en las que colabora con Eneko Osaba (38)

2020

  1. Genetic optimised serial hierarchical fuzzy classifier for breast cancer diagnosis

    International Journal of Bio-Inspired Computation, Vol. 15, Núm. 3, pp. 194-205

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. Special issue HAIS 2015: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

    Neurocomputing

2018

  1. Applications of soft computing in intelligent transportation systems

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

  2. 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)

  3. 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

  2. Editorial: Special Issue HAIS15-IGPL

    Logic Journal of the IGPL

  3. Erratum: Correction: Moreno, A., et al. Design of a Cooperative ITS Architecture Based on Distributed RSUs (Sensors (Basel, Switzerland) (2016) 16 7 PII: E1301)

    Sensors (Basel, Switzerland)

  4. Improvement of Drug Delivery Routes Through the Adoption of Multi-Operator Evolutionary Algorithms and Intelligent Vans Capable of Reporting Real-Time Incidents

    IEEE Transactions on Automation Science and Engineering, Vol. 14, Núm. 2, pp. 1009-1019

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. Decentralised intelligent transport system with distributed intelligence based on classification techniques

    IET Intelligent Transport Systems, Vol. 10, Núm. 10, pp. 674-682

  4. Design and field experimentation of a cooperative its architecture based on distributed RSUs

    Sensors (Switzerland), Vol. 16, Núm. 7

  5. 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

  6. 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)

  7. 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 migration strategy for distributed evolutionary algorithms based on stopping non-promising subpopulations: A case study on routing problems

    International Journal of Artificial Intelligence, Vol. 13, Núm. 2, pp. 46-56

  2. A multi-objective evolutionary algorithm for the tuning of fuzzy rule bases for uncoordinated intersections in autonomous driving

    Information Sciences, Vol. 321, pp. 14-30

  3. A parallel meta-heuristic for solving a multiple asymmetric traveling salesman problem with simulateneous pickup and delivery modeling demand responsive transport problems

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)