+++
title = "Publications"
+++

### Journal Articles

- **A. D. Jesus**, L. Paquete, and A. Liefooghe. “A model of
  anytime algorithm performance for bi-objective optimization”,
  _Journal of Global Optimization_, vol. 79, pp. 329–350, Feb. 2021.
  [DOI](https://doi.org/10.1007/s10898-020-00909-9) ::
  [PDF](jesus2020model.pdf)
- **A. D. Jesus**, L. Paquete, and J. R. Figueira. “Finding
  representations for an unconstrained bi-objective combinatorial
  optimization problem”, _Optimization Letters_, vol. 12, pp.
  321-334, March 2018.
  [DOI](https://doi.org/10.1007/s11590-017-1129-6) ::
  [PDF](jesus2018finding.pdf)

### Conference Articles

- F. Clément, D. Vermetten, J. de Nobel, **A. D. Jesus**, L. Paquete,
  C. Doerr. “Computing Star Discrepancies with Numerical
  Black-Box Optimization Algorithms”, in _Proceedings of the
  2023 Genetic and Evolutionary Computation Conference (GECCO '23)_,
  to appear.
  [arXiv](https://arxiv.org/abs/2306.16998)
- **A. D. Jesus**, L. Paquete, B. Derbel, and A. Liefooghe. “On
  the design and anytime performance of indicator-based branch and
  bound for multi-objective combinatorial optimization”, in
  _Proceedings of the 2021 Genetic and Evolutionary Computation
  Conference (GECCO '21)_, pp. 234-242, June 2021.
  [DOI](https://doi.org/10.1145/3449639.3459360) ::
  [PDF](jesus2021design.pdf)
- **A. D. Jesus**, A. Liefooghe, B. Derbel, and L. Paquete.
  “Algorithm Selection of Anytime Algorithms”, in
  _Proceedings of the 2020 Genetic and Evolutionary Computation
  Conference (GECCO '20)_, pp. 850-858, June 2020.
  [DOI](https://doi.org/10.1145/3377930.3390185) ::
  [PDF](jesus2020algorithm.pdf)

### (Extended) Abstracts

- **A. D. Jesus**, L. Paquete, A. Liefooghe, and B. Derbel.
  “Techniques to analyze the anytime behavior of algorithms for
  multi-objective optimization”, in _31st European Conference on
  Operational Research (EURO 2021)_, July 2021.
  [PDF](jesus2021techniques.pdf)
- D. M. Dias, **A. D. Jesus**, and L. Paquete. “A software
  library for archiving nondominated points”, in _Proceedings of
  the 2021 Genetic and Evolutionary Computation Conference Companion
  (GECCO '21)_, pp. 53-54, June 2021.
  [DOI](https://doi.org/10.1145/3449726.3462737) ::
  [PDF](dias2021nondlib.pdf)
- **A. D. Jesus**, L. Paquete, A. Liefooghe. “A model of anytime
  algorithm performance for biobjective optimization problems”,
  in _Proceedings of the 14th International Global Optimization
  Workshop (LeGO 2018)_, AIP Conference Proceedings 2070(1),
  p. 020049, Feb. 2019. [DOI](https://doi.org/10.1063/1.5090016) ::
  [PDF](jesus2019model.pdf)

### Theses

- **A. D. B. Jesus**. “Algorithm Selection for Multi-Objective
  Optimization”, PhD Thesis,
  University of Coimbra, University of Lille, Dec. 2022.
  [PDF](jesus2022algorithm.pdf) ::
  [PDF (Print)](jesus2022algorithm_print.pdf) ::
  [PDF (U. Coimbra cover)](jesus2022algorithm_ucoimbra_cover.pdf) ::
  [PDF (U. Lille cover)](jesus2022algorithm_ulille_cover.pdf)

- **A. D. B. Jesus**. “Implicit Enumeration for Representation
  Systems in Multi-objective Optimization”, MSc Thesis,
  University of Coimbra, Sep. 2015.
  [Handle](https://hdl.handle.net/10316/35604) ::
  [PDF](jesus2015implicit.pdf)