Title
Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions.
Abstract
In this paper we study the minimization of a nonsmooth black-box type function, without assuming any access to derivatives or generalized derivatives and without any knowledge about the analytical origin of the function nonsmoothness. Directional methods have been derived for such problems, but to our knowledge no model-based method like a trust-region one has yet been proposed. Our main contribution is thus the derivation of derivative-free trust-region methods (TRMs) for black-box type function. We propose a trust-region model that is the sum of a max-linear term with a quadratic one so that the function nonsmoothness can be properly captured, but at the same time the curvature of the function in smooth subdomains is not neglected. Our TRMs enjoy global convergence properties similar to those of the directional methods, provided the vectors randomly generated for the max-linear term are asymptotically dense in the unit sphere. The numerical results reported demonstrate that our approach is both efficient and robust for a large class of nonsmooth unconstrained optimization problems. Our software is made available under request.
Year
DOI
Venue
2019
10.1137/19M125772X
SIAM JOURNAL ON OPTIMIZATION
Keywords
Field
DocType
nonsmooth optimization,derivative-free optimization,trust-region methods,black-box functions
Black box (phreaking),Trust region,Derivative-free optimization,Mathematical optimization,Minification,Mathematics
Journal
Volume
Issue
ISSN
29
4
1052-6234
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
G. Liuzzi119517.16
Stefano Lucidi278578.11
F. Rinaldi318119.61
Luís Nunes Vicente400.34