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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

Eric's M.Sc. presentation

Prof. Eduardo Carrano's M.Sc. student Eric Willian will be presenting his M.Sc. work, Otimização da Programação Semafórica em Tempo Real com Base em Modelos Matemáticos on February 26th 2016, starting at 2 pm. The presentation is scheduled to happen in the Seminar Room T005, School of Engineering, UFMG.

Besides Prof. Eduardo Carrano, the evaluation committee is composed by:

  • Prof. Ricardo HC Takahashi (Dept. Mathematics, UFMG)
  • Prof. Paulo Eduardo Maciel de Almeida (Dept. Computing, CEFET-MG)
  • Prof. Elizabeth F. Wanner (Dept. Computing, CEFET-MG)

All ORCS Lab graduate and undergraduate students are invited to the presentation.

George's Qualification Exam

George will be presenting his Ph.D. qualification, titled Formulations And Algorithms For Timetabling on December 16th 2015, starting at 2:30 p.m.. The presentation is scheduled to happen in the Seminar Room T005, School of Engineering, UFMG.

Besides Prof. Eduardo Carrano (George's advisor), the qualification committee is composed by:

  • Prof. Ricardo HC Takahashi (Dept. Mathematics, UFMG)
  • Prof. Martín G Ravetti (Dept. Production Engineering, UFMG)
  • Prof. Haroldo G Santos (Dept. Computer Science, UFOP)
  • Prof. Luciana S Buriol(Institute of Informatics, UFRGS)

All ORCS Lab graduate and undergraduate students are invited to the presentation.

Part of George's work has been recently accepted for publication in the Journal of Scheduling.

DEMO "toolbox" available

Differential Evolution for Multiobjective Optimization

The Octave/Matlab implementation of the Differential Evolution for Multiobjective Optimisation algorithm (with several variants) is now available in our Github repository. These codes were developed by Fillipe Goulart for his M.Sc. dissertation, under the mentoring of Prof. Felipe Campelo. You can find more information after the "Read more", or in our Resources page.

Read more: DEMO "toolbox" available

Paper accepted: Journal of Scheduling

This has definitely been a good semester for the ORCS Lab! We're very happy to announce that the paper:

Late Acceptance Hill-Climbing for High School Timetabling

by George H.C. Fonseca, Haroldo G. Santos and Eduardo G. Carrano has been accepted by Springer's Journal of Scheduling (IF: 1.028), and is currently undergoing final proofreading. This paper is a result of George's Ph.D. work with Prof. Carrano, and the abstract is available below.

Read more: Paper accepted: Journal of Scheduling

Paper accepted: IEEE Trans. Evolutionary Computation

We're very proud to announce that the paper:

Subpermutation Based Evolutionary Multiobjective Algorithm for Load Restoration in Power Distribution Networks

by Eduardo G. Carrano, Gisele P. Silva, Edgard P. Cardoso and Ricardo H.C. Takahashi, has been accepted for publication in the IEEE Transactions on Evolutionary Computation (IF: 3.654). The paper is the main result of Gisele's M.Sc. work, and was developed as part of an R&D project with power utility CEMIG-D. You can read the abstract by clicking the "Read More" button below.

Read more: Paper accepted: IEEE Trans. Evolutionary Computation

Paper presented: Brazilian Congress on Computational Intelligence

Last month our student Lianny Sanchez presented her work at CBIC (Brazilian Congress on Computational Intelligence). The paper, titled Uma Estratégia de Decomposição Tchebycheff Transformada para Otimização Evolucionária Multiobjetivo (A transformed Tchebycheff decomposition strategy for evolutionary multiobjective optimization) was authored by Lianny and Lucas Batista, and will be soon indexed at the IEEEXplore library.

You can read the abstract (in Portuguese) by clicking the "Read More" button below.

Read more: Paper presented: Brazilian Congress on Computational Intelligence

Best paper award

Prof. Felipe Campelo's paper Towards Statistical Convergence Criteria for Mutation-based Evolutionary Algorithms received the best paper award at the 2nd Latin American Congress on Computational Intelligence, which happened in Curitiba/Brazil last month. The presentation and source codes of the paper can be accessed here, and a demo app of the main results is available here.

You can read the abstract by clicking "Read more".

Read more: Best paper award

Paper accepted for publication

We're proud to announce that the paper:

Preference-guided Evolutionary Algorithms for Many-objective Optimization

by Fillipe Goulart and Felipe Campelo has been accepted for publication in the Information Sciences journal (IF: 4.038). The paper is the result of Fillipe's M.Sc. work, and is currently undergoing final proof reviews. You can read the abstract by clicking the "Read More" button below.

Read more: Paper accepted for publication