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ORCIDCharlie Vanaret
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2020 – today
- 2024
[j7]Charlie Vanaret
:
Interval constraint programming for globally solving catalog-based categorical optimization. J. Glob. Optim. 89(2): 457-476 (2024)- [c7]David Kiessling, Charlie Vanaret, Alejandro Astudillo, Wilm Decré, Jan Swevers:
An Almost Feasible Sequential Linear Programming Algorithm. ECC 2024: 2328-2335 - [i5]David Kiessling, Sven Leyffer, Charlie Vanaret:
A Unified Funnel Restoration SQP Algorithm. CoRR abs/2409.09208 (2024) - 2022
- [j6]Thorsten Koch, Timo Berthold, Jaap Pedersen, Charlie Vanaret:
Progress in mathematical programming solvers from 2001 to 2020. EURO J. Comput. Optim. 10: 100031 (2022) - 2021
- [j5]Charlie Vanaret, Philipp Seufert, Jan Schwientek, Gleb Karpov, Gleb V. Ryzhakov, Ivan V. Oseledets, Norbert Asprion, Michael Bortz:
Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? Comput. Chem. Eng. 146: 107218 (2021) - [i4]Charlie Vanaret:
A global method for mixed categorical optimization with catalogs. CoRR abs/2104.03652 (2021) - 2020
- [j4]Sven Leyffer, Matt Menickelly, Todd S. Munson, Charlie Vanaret, Stefan M. Wild:
A survey of nonlinear robust optimization. INFOR Inf. Syst. Oper. Res. 58(2): 342-373 (2020) - [j3]Sven Leyffer, Charlie Vanaret:
An augmented Lagrangian filter method. Math. Methods Oper. Res. 92(2): 343-376 (2020) - [i3]Charlie Vanaret:
Hybridization of interval methods and evolutionary algorithms for solving difficult optimization problems. CoRR abs/2001.11465 (2020) - [i2]Charlie Vanaret, Jean-Baptiste Gotteland, Nicolas Durand, Jean-Marc Alliot:
Certified Global Minima for a Benchmark of Difficult Optimization Problems. CoRR abs/2003.09867 (2020)
2010 – 2019
- 2019
- [c6]Jan Schwientek, Charlie Vanaret, Johannes Höller, Patrick Schwartz, Philipp Seufert, Norbert Asprion, Roger Böttcher, Michael Bortz:
A Two-Phase Approach for Model-Based Design of Experiments Applied in Chemical Engineering. OR 2019: 513-519 - 2015
- [b1]Charlie Vanaret:
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). National Polytechnic Institute of Toulouse, France, 2015 - [c5]Charlie Vanaret, Jean-Baptiste Gotteland, Nicolas Durand, Jean-Marc Alliot:
Hybridization of Interval CP and Evolutionary Algorithms for Optimizing Difficult Problems. CP 2015: 446-462 - [c4]Jean-Marc Alliot, Charlie Vanaret:
(The Final) Countdown. GCAI 2015: 14-26 - [i1]Charlie Vanaret, Jean-Baptiste Gotteland, Nicolas Durand, Jean-Marc Alliot:
Hybridization of Interval CP and Evolutionary Algorithms for Optimizing Difficult Problems. CoRR abs/1510.04914 (2015) - 2014
- [j2]Abdelhamid Bouchachia, Arthur Lena, Charlie Vanaret:
Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms. Evol. Syst. 5(3): 143-157 (2014) - [j1]Abdelhamid Bouchachia, Charlie Vanaret:
GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 22(4): 999-1018 (2014) - [c3]Charlie Vanaret, Nicolas Durand, Jean-Marc Alliot:
Windmill farm pattern optimization using evolutionary algorithms. GECCO (Companion) 2014: 181-182 - 2013
- [c2]Charlie Vanaret, Jean-Baptiste Gotteland, Nicolas Durand, Jean-Marc Alliot:
Preventing Premature Convergence and Proving the Optimality in Evolutionary Algorithms. Artificial Evolution 2013: 29-40 - 2011
- [c1]Abdelhamid Bouchachia, Charlie Vanaret:
Incremental Learning Based on Growing Gaussian Mixture Models. ICMLA (2) 2011: 47-52
Coauthor Index
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