Probability Models in Global Optimization

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)323-334
Number of pages12
JournalInformatica (Netherlands)
Volume27
Issue number2
DOIs
StatePublished - 2016

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Applied Mathematics

Keywords

  • convergence
  • optimization
  • statistical models

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