25 citations · 44 across the 12 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
math.OC2022
A unified surrogate-based scheme for black-box and preference-based optimization
Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca +1
Black-box and preference-based optimization algorithms are global optimization procedures that aim to find the global solutions of an optimization problem using, respectively, the…
math.OC2022★ 2 cited
GLISp-r: A preference-based optimization algorithm with convergence guarantees
Davide Previtali, Mirko Mazzoleni, Antonio Ferramosca +1
Preference-based optimization algorithms are iterative procedures that seek the optimal calibration of a decision vector based only on comparisons between couples of different tuni…