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Welcome to the ORCS Lab
Welcome to the Laboratory of Operational Research and Complex Systems. Feel free to explore the website and get to know our projects and the people behind the algorithms.
ORCS Lab - Optimisation, Data Science and Complex Systems
Research
Research in the ORCS Lab focuses mainly on the development and application of optimisation methods to complex systems; on data science and statistical modeling; and on the applications of computational intelligence to large-scale power and energy systems.

Latest News

ExpDE 1.4 now on CRAN

The second release version of R package ExpDE, a standardised modular implementation of Differential Evolution for the experimental investigation of operators, was released today on CRAN: https://cran.r-project.org/package=ExpDE. This version includes some minor bug fixes and features two new differential mutation variants.

Package CAISEr v. 0.2.1 released!

The first release version of R package CAISEr, which implements a methodology for sample size calculations in experimental comparisons of algorithms, was released today. The package is available from CRAN, and can be installed from the R prompt using install.packages("CAISEr").

This package is the result of work by ORCS members Prof. Felipe Campelo and Fernanda Takahashi. The full description of the methodology and results generated with this package were submitted as a research paper to the Journal of Heuristics.

Best paper award - ENIAC 2017

We're very pleased to report that our paper "A Preference-guided Multiobjective Evolutionary Algorithm based on Decomposition", by Daniel de Souza, Fillipe Goulart, Lucas Batista and Felipe Campelo was selected as one of the top 3 papers at ENIAC2017 - Encontro Nacional de Inteligência Artificial e Computacional (National Meeting on Artificial and Computational Intelligence), currently happening in Uberlândia/MG, Brazil. Daniel presented the paper, which was written as part of his M.Sc. work, this last afternoon. Congratulations!

You can read the abstract by clicking "Read More" below.

Read more: Best paper award - ENIAC 2017

Fernanda's Qualification Exam

We're happy to invite everyone to Fernanda Takahashi's Ph.D. qualification exam. Her work Sample Size Estimation For Power And Accuracy In The Experimental Comparison of Metaheuristics will be presented on May 31st 2017 2 p.m., at the Seminar Room T005. Besides Fernanda's advisor, ORCS Lab's Prof. Felipe Campelo, the qualification committee will be composed by:

  • Prof. Thiago Noronha, DCC-UFMG
  • Prof. Luiz Duczmal, Dep. Statistics - UFMG
  • Prof. Helio Barbosa, LNCC

Click below for the abstract.

Update: click here for pictures!

Read more: Fernanda's Qualification Exam

April Defense Madness

In the next two weeks we'll be having four (FOUR!) defenses by ORCS Lab's students! All students are invited as usual, and the academic community in general is always very welcome as well!

Check below for details.

Read more: April Defense Madness

MOEADr package 0.2.1 released

The first release version of R package MOEADr, a standardised modular implementation of Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D), was released today. Version 0.2.1 contains several variants of decomposition strategies, aggregation functions, variation operators, neighborhood assignment rules, update strategies and more. It also integrates seamlessly with package smoof, which provides standard implementations of several benchmark sets for multiobjective optimization.

This package is the result of a joint project between ORCS Lab's Felipe Campelo and Lucas Batista and University of Tsukuba's Claus Aranha, and is part of an upcoming paper on component-wise modeling of MOEA/Ds (stay tuned!).

You can install the package from the R console by typing

install.packages("MOEADr")

Accepted papers - Update

It's been a while since we posted updates here, so today we have a two-hit combo:

  • The PhD work of Alexandre Pimenta has just been accepted for publication at Springer's Computational Economics (IF: 0.691), under the title An Automated Investing Method for Stock Market Based on Multiobjective Genetic Programming. The work is authored by Alexandre Pimenta, Ciniro Nametala, Frederico G. Guimarães, and Eduardo Carrano;

  • George Fonseca is at it again, having just landed a paper in the European Journal of Operational Research (IF: 2.679). His work Integer Programming Techniques for Educational Timetabling was authored by himself, Haroldo Santos, Eduardo Carrano and Thomas Stidsen, and is one of the outcomes of George's time working under Prof. Stidsen at the Technical University of Denmark.

Click below to access both abstracts.

Read more: Accepted papers - Update

Ciniro's M.Sc. Thesis Presentation

We're happy to invite everyone to Ciniro's presentation of his dissertation,

Construção de um Robô Investidor baseado em Redes Neurais Artificiais e Preditores Econométricos.

on February 20th 2017, 9:30a.m., at EEUFMG's Seminar Room III. Besides Ciniro's advisor, ORCS Lab's Prof. Eduardo Carrano, the dissertation committee will be composed by:

    • Prof. Felipe Campelo (ORCS Lab, Dept. Electrical Engineering, UFMG)
    • Prof. Adriano César Machado Pereira (Dept. Computer Science, UFMG)
    • Prof. Rodrigo Tomás Nogueira Cardoso (Dept. Physics and Mathematics, CEFET-MG)

Click below to read the abstract [UPDATE: and for a picture.]

Read more: Ciniro's M.Sc. Thesis Presentation

Papers accepted: two-hit combo!

ORCS Lab's Prof. Eduardo Carrano has received excellent news today, with two of his papers being accepted for publication on the same day!

The first one, accepted for publication in the IET Generation, Transmission & Distribution journal (IF: 1.576) is titled Robust Coordination of Directional Overcurrent Relays Using a Matheuristic Algorithm, by Mateus Costa, Rodney Saldanha, Martín Ravetti and Eduardo Carrano, is a result of Mateus' Ph.D. work (under prof. Carrano) in collaboration with UFMG professors Saldanha (Dept. Electrical Engineering) and Ravetti (Dept. Production Engineering). 

The second, to appear in the Transactions of the Institute of Measurement and Control (IF: 0.820) is the manuscript Fixed Time Traffic Signal Optimization Using a Multiobjective Evolutionary Algorithm and Microsimulation of Urban Networks, by Breno Costa, Samara Leal and Paulo Almeida (all from CEFET-MG) together with Eduardo Carrano.

You can find the abstracts by clicking the "Read More" button below.

Read more: Papers accepted: two-hit combo!