Incremental Learning Based on Growing Gaussian Mixture Models. - Abdelhamid Bouchachia; Charlie Vanaret (ICMLA (2), 2011)

Preventing Premature Convergence and Proving the Optimality in Evolutionary Algorithms. - Charlie Vanaret; Jean-Baptiste Gotteland; Nicolas Durand 002; Jean-Marc Alliot (Artificial Evolution, 2013)

Windmill farm pattern optimization using evolutionary algorithms. - Charlie Vanaret; Nicolas Durand 002; Jean-Marc Alliot (GECCO (Companion), 2014)

Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms. - Abdelhamid Bouchachia; Arthur Lena; Charlie Vanaret (Evol. Syst., 2014)

GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier. - Abdelhamid Bouchachia; Charlie Vanaret (IEEE Trans. Fuzzy Syst., 2014)

Hybridization of Interval CP and Evolutionary Algorithms for Optimizing Difficult Problems. - Charlie Vanaret; Jean-Baptiste Gotteland; Nicolas Durand 002; Jean-Marc Alliot (CP, 2015)

(The Final) Countdown. - Jean-Marc Alliot; Charlie Vanaret (GCAI, 2015)

Hybridation d'algorithmes évolutionnaires et de méthodes d'intervalles pour l'optimisation de problèmes difficiles. (Hybridization of evolutionary algorithms and interval-based methods for optimizing difficult problems). - Charlie Vanaret (2015)

A Two-Phase Approach for Model-Based Design of Experiments Applied in Chemical Engineering. - Jan Schwientek; Charlie Vanaret; Johannes Höller; Patrick Schwartz; Philipp Seufert; Norbert Asprion; Roger Böttcher; Michael Bortz (OR, 2019)

Hybridization of interval methods and evolutionary algorithms for solving difficult optimization problems. - Charlie Vanaret (CoRR, 2020)

Certified Global Minima for a Benchmark of Difficult Optimization Problems. - Charlie Vanaret; Jean-Baptiste Gotteland; Nicolas Durand 002; Jean-Marc Alliot (CoRR, 2020)

A survey of nonlinear robust optimization. - Sven Leyffer; Matt Menickelly; Todd S. Munson; Charlie Vanaret; Stefan M. Wild (INFOR Inf. Syst. Oper. Res., 2020)

An augmented Lagrangian filter method. - Sven Leyffer; Charlie Vanaret (Math. Methods Oper. Res., 2020)

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? - Charlie Vanaret; Philipp Seufert; Jan Schwientek; Gleb Karpov; Gleb V. Ryzhakov; Ivan V. Oseledets; Norbert Asprion; Michael Bortz (Comput. Chem. Eng., 2021)

A global method for mixed categorical optimization with catalogs. - Charlie Vanaret (CoRR, 2021)

Progress in mathematical programming solvers from 2001 to 2020. - Thorsten Koch; Timo Berthold; Jaap Pedersen; Charlie Vanaret (EURO J. Comput. Optim., 2022)

An Almost Feasible Sequential Linear Programming Algorithm. - David Kiessling; Charlie Vanaret; Alejandro Astudillo; Wilm Decré; Jan Swevers (ECC, 2024)

A Unified Funnel Restoration SQP Algorithm. - David Kiessling; Sven Leyffer; Charlie Vanaret (CoRR, 2024)

Interval constraint programming for globally solving catalog-based categorical optimization. - Charlie Vanaret (J. Glob. Optim., 2024)