Publicaciones en colaboración con investigadoras/es de Universidade Federal do Paraná (16)

2022

  1. A grammar-based GP approach applied to the design of deep neural networks

    Genetic Programming and Evolvable Machines, Vol. 23, Núm. 3, pp. 427-452

2021

  1. Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. A Symmetric grammar approach for designing segmentation models

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

2019

  1. Automatic design of convolutional neural networks using grammatical evolution

    Proceedings - 2019 Brazilian Conference on Intelligent Systems, BRACIS 2019

2018

  1. An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA

    Applied Soft Computing Journal, Vol. 62, pp. 963-973

2017

  1. A decomposition-based binary ACO algorithm for the multiobjective UBQP

    Neurocomputing, Vol. 246, pp. 58-68

  2. An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study

    Swarm Intelligence, Vol. 11, Núm. 2, pp. 101-130

  3. Automated design of hyper-heuristics components to solve the PSP problem with HP model

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  4. Combining CMA-ES and MOEA/DD for many-objective optimization

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  5. Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem

    Information Sciences, Vol. 397-398, pp. 137-154

  6. Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants

    Applied Soft Computing Journal, Vol. 53, pp. 88-96

  7. Transfer weight functions for injecting problem information in the multi-objective CMA-ES

    Memetic Computing, Vol. 9, Núm. 2, pp. 153-180

2016

  1. C-Multi: A competent multi-swarm approach for many-objective problems

    Neurocomputing, Vol. 180, pp. 68-78

  2. Investigating Selection Strategies in Multi-objective Probabilistic Model Based Algorithms

    Proceedings - 2016 5th Brazilian Conference on Intelligent Systems, BRACIS 2016

  3. On the design of hard mUBQP instances

    GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference

2015

  1. Capturing relationships in multi-objective optimization

    Proceedings - 2015 Brazilian Conference on Intelligent Systems, BRACIS 2015