Optimization of expensive functions based on surrogate RBF models

Global optimization of expensive, black-box, functions is analyzed in this thesis. A  python code has been developed to efficiently identify new evaluation points for expensive objective functions

Advisor: Fabio Schoen
Candidate: Andrea Fresu
Date: November 2014
Laurea: specialistica Ingegneria Informatica