mbinois/GPareto: Gaussian Processes for Pareto Front Estimation and Optimization

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.

Getting started

Package details

AuthorMickael Binois, Victor Picheny
MaintainerMickael Binois <[email protected]>
LicenseGPL-3
Version1.1.3
URL http://github.com/mbinois/GPareto
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("mbinois/GPareto")
mbinois/GPareto documentation built on Dec. 15, 2018, 8:04 a.m.