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.
All Science Journal Classification (ASJC) codes
- Information Systems
- Applied Mathematics
- statistical models