GPareto (1.1.0)
Gaussian Processes for Pareto Front Estimation and Optimization.
http://cran.r-project.org/web/packages/GPareto
Gaussian process regression models, a.k.a. Kriging models, are applied to global multi-objective optimization of black-box functions. Multi-objective Expected Improvement and Step-wise Uncertainty Reduction sequential infill criteria are available. A quantification of uncertainty on Pareto fronts is provided using conditional simulations.
Maintainer:
M. Binois
Author(s): Mickael Binois, Victor Picheny
License: GPL-3
Uses: DiceDesign, DiceKriging, emoa, KrigInv, ks, MASS, pbivnorm, pso, randtoolbox, Rcpp, rgenoud, knitr
Reverse suggests: DiceOptim
Released about 2 years ago.
