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.
- Version1.1.8
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- GPareto citation info
- Last release01/26/2024
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Team
Mickael Binois
Mickael Binois, Victor Picheny
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