Publikationen, an denen er mitarbeitet Eneko Osaba (71)

2023

  1. On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence

    Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

  2. On the Design and Performance of a Novel Metaheuristic Solver for the Extended Colored Traveling Salesman Problem

    IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

  3. Traffic data analysis and route planning

    Decision-Making Techniques for Autonomous Vehicles (Elsevier), pp. 217-243

2022

  1. A Multifactorial Cellular Genetic Algorithm for Multimodal Multitask Optimization

    2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings

  2. Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning

    IEEE Transactions on Evolutionary Computation, Vol. 26, Núm. 2, pp. 233-247

  3. Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods

    Swarm and Evolutionary Computation

  4. Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method

    2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings

  5. Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future

    Swarm and Evolutionary Computation, Vol. 75

  6. Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions

    Cognitive Computation, Vol. 14, Núm. 3, pp. 927-954

  7. Improving the Urban Accessibility of Older Pedestrians using Multi-objective Optimization

    2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings

  8. Optimización inspirada en la naturaleza y en la biología: lo bueno, lo malo, lo feo y lo esperanzador

    Revista DYNA, Vol. 97, Núm. 2, pp. 114-117

2021

  1. A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

    Swarm and Evolutionary Computation, Vol. 64

  2. A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

    Swarm and Evolutionary Computation, Vol. 67

  3. AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking

    Information Sciences, Vol. 570, pp. 577-598

  4. Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

    Neural Computing and Applications

  5. CURIE: a cellular automaton for concept drift detection

    Data Mining and Knowledge Discovery, Vol. 35, Núm. 6, pp. 2655-2678

  6. Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges

    Information Fusion, Vol. 67, pp. 161-194

  7. Lightweight Alternatives for Hyper-parameter Tuning in Drifting Data Streams

    IEEE International Conference on Data Mining Workshops, ICDMW

  8. MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking

    2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings

  9. More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems

    2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings