Publikationen, an denen er mitarbeitet Eneko Osaba (11)

2022

  1. Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning

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

  2. 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. CURIE: a cellular automaton for concept drift detection

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

  5. 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

  6. 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

2020

  1. Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

  2. Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

2019

  1. Bio-inspired computation: Where we stand and what's next

    Swarm and Evolutionary Computation, Vol. 48, pp. 220-250