A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems

DOI10.1137/20M1345219arXiv2006.07282MaRDI QIDQ6342779

Gianluigi Rozza, Nicola Demo, Marco Tezzele

Publication date: 12 June 2020

Nonconvex programming, global optimization (90C26) Numerical optimization and variational techniques (65K10) Sensitivity, stability, parametric optimization (90C31)

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