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GPareto

Gaussian Processes for Pareto Front Estimation and Optimization

v1.1.9 · Aug 25, 2025 · GPL-3

Description

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.

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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (3)

imports

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Dependency Network

Dependencies Reverse dependencies DiceKriging emoa Rcpp rgenoud pbivnorm pso randtoolbox KrigInv MASS DiceDesign ks rgl GPGame DiceOptim biopixR GPareto

Version History

new 1.1.9 Mar 10, 2026
updated 1.1.9 ← 1.1.8 diff Aug 24, 2025
updated 1.1.8 ← 1.1.7 diff Jan 25, 2024
updated 1.1.7 ← 1.1.6 diff Jun 23, 2022
updated 1.1.6 ← 1.1.4.1 diff May 30, 2021
updated 1.1.4.1 ← 1.1.4 diff Mar 31, 2020
updated 1.1.4 ← 1.1.3 diff Dec 5, 2019
updated 1.1.3 ← 1.1.2 diff May 8, 2019
updated 1.1.2 ← 1.1.1 diff Dec 9, 2018
updated 1.1.1 ← 1.1.0 diff Jan 31, 2018
updated 1.1.0 ← 1.0.3 diff Jun 28, 2017
updated 1.0.3 ← 1.0.2 diff Nov 10, 2016
updated 1.0.2 ← 1.0.1 diff Mar 1, 2016
updated 1.0.1 ← 1.0.0 diff Jul 2, 2015
new 1.0.0 Dec 16, 2014