I am currently a PhD candidate at the University of Coimbra and University of Lille under a co-tutelle program advised by Luís Paquete, Arnaud Liefooghe and Bilel Derbel. I am also working as an Invited Assistant at the University of Coimbra and a member of the ALGO Lab research laboratory. I am also a member of the TOPDEI project, which prepares UC students for competitive programming competitions. Previously, I worked as a developer at Whitesmith.
A. D. Jesus, L. Paquete, B. Derbel, A. Liefooghe. On the design and anytime performance of indicator-based branch and bound for multi-objective combinatorial optimization. Proceedings of the 2021 Genetic and Evolutionary Computation Conference (GECCO 2021), 234-242, 2021. DOI :: PDF
D. M. Dias, A. D. Jesus, L. Paquete. A software library for archiving nondominated points. Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (GECCO 2021), 53-54, 2021. DOI :: PDF
A. D. Jesus, L. Paquete, A. Liefooghe, B. Derbel. Techniques to analyze the anytime behavior of algorithms for multi-objective optimization. 31st European Conference on Operational Research (EURO 2021). PDF
A. D. Jesus, A. Liefooghe, B. Derbel, L. Paquete. Algorithm Selection of Anytime Algorithms. Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO 2020), 850-858, 2020. DOI :: PDF
A. D. Jesus, L. Paquete, A. Liefooghe. A model of anytime algorithm performance for bi-objective optimization. Journal of Global Optimization 79, 329–350, 2021. DOI :: PDF
A. D. Jesus, L. Paquete, A. Liefooghe. A model of anytime algorithm performance for biobjective optimization problems. AIP Conference Proceedings 2070(1), 020049, 2019. DOI :: PDF
A. D. Jesus, L. Paquete, J. R. Figueira. Finding representations for an unconstrained bi-objective combinatorial optimization problem. Optimization Letters 12, 321-334, 2018. DOI :: PDF
A. D. Jesus. Implicit Enumeration for Representation Systems in Multi-objective Optimization. Masters Thesis, University of Coimbra, 2015. Handle :: PDF
ggplot2
plots, and a scalar measure of anytime behavior. Code