Pub. online:1 Jan 2016Type:Research ArticleOpen Access
Volume 27, Issue 2 (2016), pp. 323–334
This paper reviews the interplay between global optimization and probability models, concentrating on a class of deterministic optimization algorithms that are motivated by probability models for the objective function. Some complexity results are described for the univariate and multivariate cases.