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.">

DiceOptim: Kriging-Based Optimization for Computer Experiments (original) (raw)

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.

Version: 2.1.2
Depends: DiceKriging (≥ 1.2), methods
Imports: randtoolbox, pbivnorm, rgenoud, mnormt, DiceDesign, parallel
Suggests: KrigInv, GPareto
Published: 2025-11-12
DOI: 10.32614/CRAN.package.DiceOptim
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 at inria.fr>
License: GPL-2 | GPL-3
NeedsCompilation: yes
CRAN checks: DiceOptim results

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