An Adaptive Evolution Control based on Confident Regions for Surrogate-assisted Optimization. - Guillaume Briffoteaux; Nouredine Melab; Mohand Mezmaz; Daniel Tuyttens (HPCS, 2018)

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)

Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. - Guillaume Briffoteaux; Maxime Gobert 002; Romain Ragonnet; Jan Gmys; Mohand Mezmaz; Nouredine Melab; Daniel Tuyttens (Swarm Evol. Comput., 2020)

Hybrid Acquisition Processes in Surrogate-Based Optimization. Application to Covid-19 Contact Reduction. - Guillaume Briffoteaux; Nouredine Melab; Mohand Mezmaz; Daniel Tuyttens (BIOMA, 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 (OLA, 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 (2022)

Towards Target Derivatives-Enhanced Continued Fraction Regression. - Guillaume Briffoteaux; Andrew Ciezak; Pablo Moscato (GECCO Companion, 2024)

Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization. - Maxime Gobert 002; Guillaume Briffoteaux; Jan Gmys; Nouredine Melab; Daniel Tuyttens (Eng. Appl. Artif. Intell., 2024)

Investigating surrogate-based hybrid acquisition processes. Application to Covid-19 contact mitigation. - Guillaume Briffoteaux; Nouredine Melab; Mohand Mezmaz; Daniel Tuyttens (Appl. Soft Comput., 2024)