Caroline Sainvitu

发表

Aerodynamic Optimization of the Low-Pressure Turbine Module: Exploiting Surrogate Models in a High-Dimensional Design Space

Lieven Baert, Emmanuel Chérière, Caroline Sainvitu, 2020, Journal of Turbomachinery.

Adaptive infill sampling criterion for multi-fidelity optimization based on Gappy-POD

Caroline Sainvitu, Ingrid Lepot, Piotr Breitkopf, 2016 .

Adaptive sampling strategies for non‐intrusive POD‐based surrogates

Caroline Sainvitu, Ingrid Lepot, Rajan Filomeno Coelho, 2013 .

A surrogate-based evolutionary algorithm for highly constrained design problems

Caroline Sainvitu, Charlotte Beauthier, Paul Beaucaire, 2017, GECCO.

A Filter-Trust-Region Method for Unconstrained Optimization

Nicholas I. M. Gould, Caroline Sainvitu, Philippe L. Toint, 2005, SIAM J. Optim..

Global Optimization with Expensive Functions - Sample Turbomachinery Design Application

Caroline Sainvitu, Ingrid Lepot, Vicky Iliopoulou, 2010 .

A filter-trust-region method for simple-bound constrained optimization

Caroline Sainvitu, Philippe L. Toint, P. Toint, 2007, Optim. Methods Softw..

Exploitation of multiple surrogate models in multi-point infill sampling strategies

Caroline Sainvitu, Charlotte Beauthier, Paul Beaucaire, 2019, GECCO.

RELIABILITY ANALYSIS IN FRACTURE MECHANICS ACCORDING TO COMBINED FAILURE CRITERIA

Caroline Sainvitu, Piotr Breitkopf, Rudy Chocat, 2016 .

LPC Blade and Non-Axisymmetric Hub Profiling Optimization Using Multi-Fidelity Non-Intrusive POD Surrogates

Caroline Sainvitu, Ingrid Lepot, Piotr Breitkopf, 2017 .

Filter-Trust-Region Methods for Nonlinear Optimization

Caroline Sainvitu, 2007 .

Damage tolerance reliability analysis combining Kriging regression and support vector machine classification

Caroline Sainvitu, Piotr Breitkopf, Rudy Chocat, 2019, Engineering Fracture Mechanics.

Multidisciplinary Design of a Low-Noise Propeller: Part II — Efficient Aero-Acoustic-Mechanical Design Methodology Exploiting Surrogate Models in an Adaptive Design Space

Lieven Baert, Caroline Sainvitu, Ingrid Lepot, 2020 .

Adaptive sampling strategies for POD-based surrogate models in an optimization framework

Caroline Sainvitu, Ingrid Lepot, Rajan Filomeno Coelho, 2011 .

Tackling Highly Constrained Design Problems: Efficient Optimisation of a Highly Loaded Transonic Compressor

Lieven Baert, Caroline Sainvitu, Ingrid Lepot, 2017 .

How much do approximate derivatives hurt filter methods?

Caroline Sainvitu, 2009, RAIRO Oper. Res..

Online training of data-driven POD-based surrogates for optimization

Caroline Sainvitu, Ingrid Lepot, Rajan Filomeno Coelho, 2012 .

Failure Probability Assessment using co-Kriging Surrogate Models

Caroline Sainvitu, A. Robert, Eric Wyart, 2015 .

MULTI-FIDELITY EXTENSION TO NON-INTRUSIVE PROPER ORTHOGONAL DECOMPOSITION BASED SURROGATES

Caroline Sainvitu, Ingrid Lepot, Piotr Breitkopf, 2016 .

Multi-point infill sampling strategies exploiting multiple surrogate models

Caroline Sainvitu, Charlotte Beauthier, Paul Beaucaire, 2019, GECCO.

Agile SBO Framework Exploiting Multisimulation Data: Optimising Efficiency and Stall Margin of a Transonic Compressor

Lieven Baert, Caroline Sainvitu, Ingrid Lepot, 2018, Volume 2D: Turbomachinery.