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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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
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1.1.9
Mar 10, 2026