Publicaciones en las que colabora con Eneko Osaba (13)

2020

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

    IEEE Intelligent Transportation Systems Magazine

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

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

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

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. Hybridizing genetic algorithm with cross entropy for solving continuous functions

    GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference