Modeling and Optimization with Gaussian Processes in Reduced Eigenbases -- Extended Version

no code implementations • 29 Aug 2019 • David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert

Parametric shape optimization aims at minimizing an objective function f(x) where x are CAD parameters.

Gaussian Processes

Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions

no code implementations • 9 Nov 2018 • David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert

Multi-objective optimization aims at finding trade-off solutions to conflicting objectives.

Gaussian Processes

Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front -- Extended Version

no code implementations • 27 Sep 2018 • David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert

When the number of experiments is severely restricted and/or when the number of objectives increases, uncovering the whole set of Pareto optimal solutions is out of reach, even for surrogate-based approaches: the proposed solutions are sub-optimal or do not cover the front well.