Charlie Vanaret

According to our database1, Charlie Vanaret authored at least 15 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
A global method for mixed categorical optimization with catalogs.
CoRR, 2021

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?
Comput. Chem. Eng., 2021

2020
An augmented Lagrangian filter method.
Math. Methods Oper. Res., 2020

A survey of nonlinear robust optimization.
INFOR Inf. Syst. Oper. Res., 2020

Certified Global Minima for a Benchmark of Difficult Optimization Problems.
CoRR, 2020

Hybridization of interval methods and evolutionary algorithms for solving difficult optimization problems.
CoRR, 2020

2019
A Two-Phase Approach for Model-Based Design of Experiments Applied in Chemical Engineering.
Proceedings of the Operations Research Proceedings 2019, 2019

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).
PhD thesis, 2015

(The Final) Countdown.
Proceedings of the Global Conference on Artificial Intelligence, 2015

Hybridization of Interval CP and Evolutionary Algorithms for Optimizing Difficult Problems.
Proceedings of the Principles and Practice of Constraint Programming, 2015

2014
GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier.
IEEE Trans. Fuzzy Syst., 2014

Online and interactive self-adaptive learning of user profile using incremental evolutionary algorithms.
Evol. Syst., 2014

Windmill farm pattern optimization using evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Preventing Premature Convergence and Proving the Optimality in Evolutionary Algorithms.
Proceedings of the Artificial Evolution, 2013

2011
Incremental Learning Based on Growing Gaussian Mixture Models.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011


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