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ORCIDGuillaume Briffoteaux
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2020 – today
- 2024
[j4]Guillaume Briffoteaux
, Nouredine Melab, Mohand Mezmaz, Daniel Tuyttens:
Investigating surrogate-based hybrid acquisition processes. Application to Covid-19 contact mitigation. Appl. Soft Comput. 151: 111134 (2024)- [j3]Maxime Gobert, Guillaume Briffoteaux, Jan Gmys, Nouredine Melab, Daniel Tuyttens:
Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization. Eng. Appl. Artif. Intell. 137: 109075 (2024) - [c4]Guillaume Briffoteaux, Andrew Ciezak, Pablo Moscato:
Towards Target Derivatives-Enhanced Continued Fraction Regression. GECCO Companion 2024: 81-82 - 2022
- [b1]Guillaume Briffoteaux:
Parallel surrogate-based algorithms for solving expensive optimization problems. (Algorithmes parallèles et basés sur méta-modèles pour la résolution de problèmes d'optimisation coûteux). University of Mons, Belgium, 2022 - [c3]Guillaume Briffoteaux, Nouredine Melab, Mohand Mezmaz, Daniel Tuyttens:
Hybrid Acquisition Processes in Surrogate-Based Optimization. Application to Covid-19 Contact Reduction. BIOMA 2022: 127-141 - [c2]Guillaume Briffoteaux, Romain Ragonnet, Pierre Tomenko, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens:
Comparing Parallel Surrogate-Based and Surrogate-Free Multi-objective Optimization of COVID-19 Vaccines Allocation. OLA 2022: 201-212 - 2020
- [j2]Guillaume Briffoteaux, Romain Ragonnet, Mohand-Said Mezmaz, Nouredine Melab, Daniel Tuyttens:
Evolution Control for parallel ANN-assisted simulation-based optimization application to Tuberculosis Transmission Control. Future Gener. Comput. Syst. 113: 454-467 (2020) - [j1]Guillaume Briffoteaux, Maxime Gobert, Romain Ragonnet, Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens:
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. Swarm Evol. Comput. 57: 100717 (2020)
2010 – 2019
- 2018
- [c1]Guillaume Briffoteaux, Nouredine Melab, Mohand Mezmaz, Daniel Tuyttens:
An Adaptive Evolution Control based on Confident Regions for Surrogate-assisted Optimization. HPCS 2018: 802-809
Coauthor Index
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