DESCRIPTION

Package: DiceOptim
Version: 2.1.2
Title: Kriging-Based Optimization for Computer Experiments
Date: 2025-11-12
Authors@R: c(person("Mickael", "Binois", role = c("cre", "ctb"),
               email = "mickael.binois@inria.fr"),
               person("Victor", "Picheny", role = "aut"),
               person("David", "Ginsbourger", role = "aut"),
               person("Olivier", "Roustant", role = "aut"),
               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
RoxygenNote: 7.3.3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-12 18:57:10 UTC; mbinois
Author: Mickael Binois [cre, ctb],
  Victor Picheny [aut],
  David Ginsbourger [aut],
  Olivier Roustant [aut],
  Sebastien Marmin [ctb],
  Tobias Wagner [ctb]
Maintainer: Mickael Binois <mickael.binois@inria.fr>
Repository: CRAN
Date/Publication: 2025-11-12 23:30:25 UTC