Charlie Vanaret
Charlie Vanaret
Assistant computational mathematician at Argonne/ZIB
Verified email at - Homepage
Cited by
Cited by
GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier
A Bouchachia, C Vanaret
IEEE Transactions on Fuzzy Systems, 2013
A Survey of Nonlinear Robust Optimization
S Leyffer, M Menickelly, T Munson, C Vanaret, SM Wild
INFOR: Information Systems and Operational Research, 2020
GEMS: a Python library for automation of multidisciplinary design optimization process generation
F Gallard, C Vanaret, D Guénot, V Gachelin, R Lafage, B Pauwels, ...
2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018
Application en gestion du trafic aérien
N Durand, D Gianazza, JB Gotteland, C Vanaret, JM Alliot
Métaheuristiques, 2014
Progress in mathematical programming solvers from 2001 to 2020
T Koch, T Berthold, J Pedersen, C Vanaret
EURO Journal on Computational Optimization 10, 100031, 2022
Incremental Learning Based on Growing Gaussian Mixture Models
A Bouchachia, C Vanaret
10th International Conference on Machine Learning and Applications and …, 2011
Benchmarking Conflict Resolution Algorithms
C Vanaret, D Gianazza, N Durand, JB Gotteland
5th International Conference on Research in Air Transportation (ICRAT), 2012
Towards the industrialization of new MDO methodologies and tools for aircraft design
A Gazaix, F Gallard, V Gachelin, T Druot, S Grihon, V Ambert, D Guénot, ...
18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 3149, 2017
Preventing Premature Convergence and Proving the Optimality in Evolutionary Algorithms
C Vanaret, JB Gotteland, N Durand, JM Alliot
International Conference on Artificial Evolution (EA-2013), 84-94, 2013
Implementation and application of model-based design of experiments in a flowsheet simulator
N Asprion, R Böttcher, J Mairhofer, M Yliruka, J Höller, J Schwientek, ...
Journal of Chemical & Engineering Data 65 (3), 1135-1145, 2019
Certified global minima for a benchmark of difficult optimization problems
C Vanaret, JB Gotteland, N Durand, JM Alliot
arXiv preprint arXiv:2003.09867, 2014
Industrial application of an advanced bi-level MDO formulation to aircraft engine pylon optimization
A Gazaix, F Gallard, V Ambert, D Guénot, M Hamadi, S Grihon, ...
AIAA Aviation 2019 Forum, 3109, 2019
Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?
C Vanaret, P Seufert, J Schwientek, G Karpov, G Ryzhakov, I Oseledets, ...
Computers & Chemical Engineering 146, 2021
On the Consequences of the “No Free Lunch” Theorem for Optimization on the Choice of MDO Architecture
C Vanaret, F Gallard, JRRA Martins
18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017
Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms
A Bouchachia, A Lena, C Vanaret
Evolving Systems 5, 143-157, 2014
Implementing an interval computation library for OCaml on x86/amd64 architectures
JM Alliot, JB Gotteland, C Vanaret, N Durand, D Gianazza
17th ACM SIGPLAN International Conference on Functional Programming, 2012
An Augmented Lagrangian Filter Method
S Leyffer, C Vanaret
Mathematical Methods of Operations Research, 2020
Decision support for the development, simulation and optimization of dynamic process models
N Asprion, R Böttcher, J Schwientek, J Höller, P Schwartz, C Vanaret, ...
Frontiers of Chemical Science and Engineering 16 (2), 210-220, 2022
Hybridization of interval methods and evolutionary algorithms for solving difficult optimization problems
C Vanaret
arXiv preprint arXiv:2001.11465, 2015
Hybridation d’algorithmes évolutionnaires et de méthodes d’intervalles pour l’optimisation de problèmes difficiles
C Vanaret
Institut National Polytechnique de Toulouse-INPT, 2015
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