Package: DiceOptim
Version: 2.1.1
Title: Kriging-Based Optimization for Computer Experiments
Date: 2021-01-29
Authors@R: c(person("Victor", "Picheny", role = c("aut", "cre"),
                      email = "victor.picheny@toulouse.inra.fr"),
               person("David Ginsbourger", "Green", role = "aut"),
               person("Olivier", "Roustant", role = "aut"),
               person("Mickael", "Binois", role = "ctb"),
               person("Sebastien", "Marmin", role = "ctb"),
               person("Tobias", "Wagner", role = "ctb"))
Description: Efficient Global Optimization (EGO) algorithm as described in "Roustant et al. (2012)" <doi:10.18637/jss.v051.i01> and adaptations for problems with noise ("Picheny and Ginsbourger, 2012") <doi:10.1016/j.csda.2013.03.018>, parallel infill, and problems with constraints.
Depends: DiceKriging (>= 1.2), methods
Imports: randtoolbox, pbivnorm, rgenoud, mnormt, DiceDesign, parallel
Suggests: KrigInv, GPareto
License: GPL-2 | GPL-3
URL: http://dice.emse.fr/
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-02-01 08:25:48 UTC; victor
Repository: CRAN
Date/Publication: 2021-02-02 00:10:23 UTC
Author: Victor Picheny [aut, cre],
  David Ginsbourger Green [aut],
  Olivier Roustant [aut],
  Mickael Binois [ctb],
  Sebastien Marmin [ctb],
  Tobias Wagner [ctb]
Maintainer: Victor Picheny <victor.picheny@toulouse.inra.fr>
Encoding: UTF-8
Built: R 4.4.0; aarch64-apple-darwin21.6.0; 2024-04-30 02:16:19 UTC; unix
