Researcher/Professor, Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte, Brasil
I received a Ph.D. degree in engineering sciences from Université Libre de Bruxelles, Belgium, in 2016. I presented my thesis entitled "A component-wise approach to multi-objective evolutionary algorithms: from flexible frameworks to automatic design" on July 4th 2016.
Since 2009, I have been researching artificial intelligence techniques and their application to optimization problems. My thesis on the automated engineering of metaheuristic algorithms for the context of multiobjective optimization was written under the supervision of Thomas Stützle and Manuel López-Ibáñez.
Currently,
I am a Professor at Instituto Metrópole Digital from Universidade Federal do Rio Grande do Norte (UFRN, Brazil), starting collaborations with researchers interested in refined optimization models, computational intelligence techniques, automated algorithm engineering, and Big Data models.
Basic data structures / Programming (C++), Universidade Federal do Rio Grande do Norte (UFRN), Brazil
2016
Design and analysis of algorithms, Universidade Federal da Paraíba (UFPB), Brazil
2013+
Swarm Intelligence, Université Libre de Bruxelles (ULB), Belgium
2011
Advanced algorithms / Algorithms, Universidade Federal do Rio Grande do Norte (UFRN), Brazil
Reviewing
Evolutionary Computation, IEEE Transactions on Evolutionary Computation, Swarm Intelligence, IMA Journal of Management Mathematics, Journal of Artificial Intelligence Research
Conferences
Reviewer: HM 2013, PPSN 2014, IEEE CEC 2017
PC Member: GECCO 2013-17
Local Comittee Member: ANTS 2012, 2014
PRESENTATIONS
Talks and Conferences
To DE or not to DE? Multi-objective differential evolution revisited from a component-wise perspective
[03/30/2015] Evolutionary Multi-Criterion Optimization (EMO 2015), Guimarães, Portugal.
Automatic design of evolutionary algorithms for multi-objective combinatorial optimization
[09/16/2014] Parallel Problem Solving from Nature (PPSN 2014), Ljubljana, Slovenia.
Deconstructing multi-objective evolutionary algorithms
[02/20/2014] Learning and Intelligent Optimization (LION 2014), Gainesville, FL, United States.
An analysis of local search for the bi-objective bidimensional knapsack problem
[02/04/2014] LAE, Universidade Federal do Rio Grande do Norte (UFRN), Natal, RN, Brazil.
[04/03/2013] Evolutionary Computation for Combinatorial Optimization (EvoCOP 2013), Vienna, Austria.
Automatic generation of multi-objective ACO algorithms for the bi-objective knapsack
[04/08/2013] Alpen-Adria Universität Klagenfurt / Lakeside Labs, Klagenfurt, Austria.
[08/23/2012] LAE, Universidade Federal do Rio Grande do Norte (UFRN), Natal, RN, Brazil.
[09/13/2012] Eighth International Conference on Swarm Intelligence (ANTS 2012), Brussels, Belgium.
GRACE: A generational randomized ACO for the multiobjective shortest path problem
[10/21/2011] IRIDIA, CoDE, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Workshops
Automatic design of multi-objective evolutionary algorithms
[09/14/2014] Parallel Problem Solving from Nature (PPSN 2014), Ljubljana, Slovenia.
Minicourses
The IRACE package: iterated racing for automatic algorithm configuration.
[03/17/2015] LAE, Universidade Federal do Rio Grande do Norte (UFRN), Natal, RN, Brazil.
[01/30/2013] LAE, Universidade Federal do Rio Grande do Norte (UFRN), Natal, RN, Brazil.
PUBLICATIONS
Theses
Leonardo C. T. Bezerra.
A component-wise approach to multi-objective evolutionary
algorithms: from flexible frameworks to automatic design.
PhD thesis, IRIDIA, École polytechnique, Université Libre de
Bruxelles, Belgium, 2016.
(pdfbib)
Leonardo C. T. Bezerra.
Metaheuristics for multi-objective optimisation: automatic design
using flexible frameworks.
Rapport d'avancement de recherches pour la Formation Doctorale en
Sciences de L'ingenieur, IRIDIA, CoDE, Université Libre de Bruxelles,
2013.
(pdfbib)
Leonardo C. T. Bezerra.
Uma colônia de formigas para o caminho mais curto multiobjetivo.
Master's thesis, Departamento de Informática e Matemática
Aplicada, 2011.
(pdfbib)
Journals
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas
Stützle.
A large-scale experimental evaluation of high-performing multi- and
many-objective evolutionary algorithms.Evolutionary Computation, 2018.
Accepted.
(pdfbib)
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas
Stützle.
Automatic component-wise design of multi-objective evolutionary
algorithms.IEEE Transactions on Evolutionary Computation, 20:403--417,
2016.
(pdfbib)
Leonardo C. T. Bezerra, Elizabeth F. G. Goldbarg, Luciana S. Buriol, and
Marco C. Goldbarg.
Analyzing the impact of MOACO components: An algorithmic study on
the multi-objective shortest path problem.Expert Systems with Applications, 40:345--355, 2013.
(pdfbib)
Chapters
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas
Stützle.
Automatic configuration of multi-objective optimizers and
multi-objective configuration.
In P. Korošec et al., editors, High-Performance Simulation
Based Optimization, Studies in Computational Intelligence. Springer
International Publishing, 2017.
Accepted.
(pdfbib)
Conferences
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas
Stützle.
An empirical assessment of the properties of inverted generational
distance on multi- and many-objective optimization.
In H. Trautmann et al., editors, Evolutionary Multi-Criterion
Optimization (EMO 2017), volume 10173 of Lecture Notes in Computer
Science, pages 31--45. Springer International Publishing, 2017.
(pdfbib)
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas
Stützle.
To DE or not to DE? Multi-objective differential evolution
revisited from a component-wise perspective.
In A. Gaspar-Cunha et al., editors, Evolutionary Multi-Criterion
Optimization (EMO 2015), volume 9018 of Lecture Notes in Computer
Science, pages 48--63. Springer International Publishing, 2015.
(pdfbib)
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas
Stützle.
Comparing decomposition-based and automatically component-wise
designed multi-objective evolutionary algorithms.
In A. Gaspar-Cunha et al., editors, Evolutionary Multi-Criterion
Optimization (EMO 2015), volume 9018 of Lecture Notes in Computer
Science, pages 396--410. Springer International Publishing, 2015.
(pdfbib)
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas Stützle.
Deconstructing multi-objective evolutionary algorithms: an iterative
analysis on the permutation flowshop problem.
In Panos M. Pardalos, Mauricio G.C. Resende, Chrysafis Vogiatzis, and
Jose L. Walteros, editors, Learning and Intelligent Optimization (LION
2014), volume 8426 of Lecture Notes in Computer Science, pages
157--172. Springer International Publishing, 2014.
(pdfbib)
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas
Stützle.
Automatic design of evolutionary algorithms for multi-objective
combinatorial optimization.
In Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipič, and Jim
Smith, editors, Parallel Problem Solving from Nature – PPSN XIII,
volume 8672 of Lecture Notes in Computer Science, pages 508--517.
Springer International Publishing, 2014.
(pdfbib)
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas
Stützle.
An analysis of local search for the bi-objective bidimensional
knapsack problem.
In Martin Middendorf and Christian Blum, editors, Evolutionary
Computation in Combinatorial Optimization (EvoCOP 2013), volume 7832 of
Lecture Notes in Computer Science, pages 85--96. Springer Berlin Heidelberg,
2013.
(pdfbib)
Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas
Stützle.
Automatic generation of multi-objective ACO algorithms for the
bi-objective knapsack.
In M. Dorigo et al., editors, Swarm Intelligence (ANTS 2012),
volume 7461 of Lecture Notes in Computer Science, pages 37--48.
Springer-Verlag, 2012.
(pdfbib)
Leonardo C. T. Bezerra, Elizabeth F. G. Goldbarg, Luciana S. Buriol, and
Marco C. Goldbarg.
GRACE: A generational randomized ACO for the multiobjective
shortest path problem.
In R. H. C. Takahashi et al., editors, Evolutionary
Multi-Criterion Optimization (EMO 2011), volume 6576 of Lecture Notes
in Computer Science. Springer, 2011.
(pdfbib)
Wagner Schmitt, Leonardo César Teonácio Bezerra, Luciana Salete Buriol,
Elizabeth Ferreira Gouvêa Goldbarg, Marco César Goldbarg, and Marcus
Ritt.
Um estudo experimental do problem de caminhos mínimos
multiobjetivo.
In Anais do XLIII Simpósio Brasileiro de Pesquisa
Operacional (SBPO 2011), Ubatuba, SP, 2011. SBC.
(pdfbib)
Selan R. dos Santos, Leonardo C. T. Bezerra, Silvano Malfatti, and Antonino
A. Feitosa Neto.
FAITH: A desktop virtual reality system for fingerspelling.
In Proceedings of the XI Symposium on Virtual and Augmented
Reality (SVR 2009), Porto Alegre, RS, 2009. SBC.
Best paper award.
(pdfbib)
Technical reports
Leonardo C. T. Bezerra, Elizabeth F. G. Goldbarg, Luciana S. Buriol, and
Marco C. Goldbarg.
Food regulated pareto multi-species: a new ACO approach for the
multi-objective shortest path problem.
Technical Report UFRN-DIMAP-2011-104-RT, Departamento de
Informática e Matemática Aplicada, Universidade Federal do Rio Grande
do Norte, 2011.
(pdfbib)