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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

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")