Guillaume Briffoteaux

According to our database, Guillaume Briffoteaux authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating surrogate-based hybrid acquisition processes. Application to Covid-19 contact mitigation.

Guillaume Briffoteaux, Nouredine Melab, Mohand Mezmaz, Daniel Tuyttens

Appl. Soft Comput., January, 2024

Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization.

Maxime Gobert, Guillaume Briffoteaux, Jan Gmys, Nouredine Melab, Daniel Tuyttens

Eng. Appl. Artif. Intell., 2024

Towards Target Derivatives-Enhanced Continued Fraction Regression.

Guillaume Briffoteaux, Andrew Ciezak, Pablo Moscato

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2022

Parallel surrogate-based algorithms for solving expensive optimization problems. (Algorithmes parallèles et basés sur méta-modèles pour la résolution de problèmes d'optimisation coûteux).

Guillaume Briffoteaux

PhD thesis, 2022

Comparing Parallel Surrogate-Based and Surrogate-Free Multi-objective Optimization of COVID-19 Vaccines Allocation.

Guillaume Briffoteaux, Romain Ragonnet, Pierre Tomenko, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens

Proceedings of the Optimization and Learning - 5th International Conference, 2022

Hybrid Acquisition Processes in Surrogate-Based Optimization. Application to Covid-19 Contact Reduction.

Guillaume Briffoteaux, Nouredine Melab, Mohand Mezmaz, Daniel Tuyttens

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022

2020

Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO.

Guillaume Briffoteaux, Maxime Gobert, Romain Ragonnet, Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens

Swarm Evol. Comput., 2020

Evolution Control for parallel ANN-assisted simulation-based optimization application to Tuberculosis Transmission Control.

Guillaume Briffoteaux, Romain Ragonnet, Mohand-Said Mezmaz, Nouredine Melab, Daniel Tuyttens

Future Gener. Comput. Syst., 2020

2018

An Adaptive Evolution Control based on Confident Regions for Surrogate-assisted Optimization.

Guillaume Briffoteaux, Nouredine Melab, Mohand Mezmaz, Daniel Tuyttens

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018