Universidade Federal do Rio Grande do Norte-ko ikertzaileekin lankidetzan egindako argitalpenak (4)

2020

  1. Automatic configuration of multi-objective optimizers and multi-objective configuration

    Studies in Computational Intelligence (Springer Verlag), pp. 69-92

  2. Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms

    Evolutionary computation, Vol. 28, Núm. 2, pp. 195-226

2019

  1. Archiver effects on the performance of state-of-the-art multi- And many-objective evolutionary algorithms

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

2018

  1. A large-scale experimental evaluation of high-performing multi-and many-objective evolutionary algorithms

    Evolutionary Computation, Vol. 26, Núm. 4, pp. 621-656