Ph.D. and M.Sc. in Computer Science at UFMG / B.Sc in Computer Science at UFSJ
Approachs to problem solving, learning, or discovery that employs practical methods and algorithms not guaranteed to be optimal or perfect, but sufficient for finding good solutions.
Read moreA branch of mathematics concerned with the theory and methods for solving problems on finding the global optima of functions under linear and/or non-linear constraints.
Read morePopulation-based metaheuristic optimization algorithm that employes mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection.
Read moreA branch of Artificial Intelligence that address complex real-world problems to which mathematical programming or traditional modelling techniques can be useless.
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