Francisco Baeta

Francisco Baeta is a Ph.D. Student enrolled on the Doctoral Program in Information Science and Technology at the University of Coimbra, holding a Masters's and a Bachelor's degree in Informatics Engineering from the same institution.
He is mainly interested in the fields of Evolutionary Computation and Complex Systems, particularly regarding Genetic Algorithms and Fractal Geometry, respectively. His research at the Computational Design and Visualization Lab (CISUC) currently focuses on the application of parallelization techniques to Genetic Programming.

ORCID: 0000-0002-9535-2329

Related projects


TGPGAN: An Evolutionary approach to Generative Adversarial Networks


TensorGP: A Data Parallel Approach to Genetic Programming

In Proceedings

  • F. Baeta, J. Correia, T. Martins, and P. Machado, “Speed benchmarking of genetic programming frameworks,” in GECCO ’21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021, 2021, pp. 768-775.

  • F. Baeta, J. Correia, T. Martins, and P. Machado, “TensorGP – Genetic Programming Engine in TensorFlow,” in Applications of Evolutionary Computation – 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings, 2021, pp. 763-778.

Master’s Theses

  • F. J. R. Baeta, “Genetic Programming in Graphic Processing Units with TensorFlow,” Master Thesis, 2020.