Search Results for author: Alejandro M. Aragón

Found 1 papers, 0 papers with code

A machine learning approach for fighting the curse of dimensionality in global optimization

no code implementations28 Oct 2021 Julian F. Schumann, Alejandro M. Aragón

Finding global optima in high-dimensional optimization problems is extremely challenging since the number of function evaluations required to sufficiently explore the search space increases exponentially with its dimensionality.

BIG-bench Machine Learning

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