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Evolution Control Ensemble Models for Surrogate-Assisted Evolutionary Algorithms
Guillaume Briffoteaux
,
Romain Ragonnet
,
Mohand Mezmaz
,
Nouredine Melab
,
Daniel Tuyttens
High Performance Computing and Simulation 2020, Mar 2021, Barcelona, Spain
Communication dans un congrès
hal-03332521v1
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Hybrid Acquisition Processes in Surrogate-based Optimization. Application to Covid-19 Contact Reduction
Guillaume Briffoteaux
,
Nouredine Melab
,
Mohand Mezmaz
,
Daniel Tuyttens
BIOMA 2022 - International Conference on Bioinspired Optimisation Methods and Their Applications, Nov 2022, Maribor, Slovenia
Communication dans un congrès
hal-03770742v1
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An adaptive evolution control based on confident regions for surrogate-assisted optimization
Guillaume Briffoteaux
,
Nouredine Melab
,
Mohand Mezmaz
,
Daniel Tuyttens
HPCS 2018 - International Conference on High Performance Computing & Simulation, Jul 2018, Orléans, France
Communication dans un congrès
hal-01922708v1
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Towards Dynamic Selection of Evolution Controls in Parallel Bayesian Neural Network-assisted Genetic Algorithm
Guillaume Briffoteaux
,
Romain Ragonnet
,
Mohand Mezmaz
,
Nouredine Melab
,
Daniel Tuyttens
OLA'2020 - International Conference on Optimization and Learning, Feb 2020, Cádiz, Spain
Communication dans un congrès
hal-02867819v1
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Parallel Surrogate-assisted Optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO
Guillaume Briffoteaux
,
Maxime Gobert
,
Romain Ragonnet
,
Jan Gmys
,
Mohand Mezmaz
,
et al.
Article dans une revue
hal-02767541v1
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Investigating surrogate-based hybrid acquisition processes. Application to Covid-19 contact mitigation
G. Briffoteaux
,
N. Melab
,
M. Mezmaz
,
D. Tuyttens
Article dans une revue
hal-04383812v1
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Evolution Control for parallel ANN-assisted simulation-based optimization application to Tuberculosis Transmission Control
Guillaume Briffoteaux
,
Romain Ragonnet
,
Mohand Mezmaz
,
Nouredine Melab
,
Daniel Tuyttens
Article dans une revue
hal-02904840v1
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Parallel surrogate-based algorithms for solving expensive optimization problems
Guillaume Briffoteaux
Machine Learning [cs.LG]. Université de Lille; Université de Mons, 2022. English. ⟨NNT : 2022ULILB023⟩
Thèse
tel-03853862v2
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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
,
et al.
OLA 2022 - International Conference on Optimization and Learning, Jul 2022, Syracuse, Italy
Communication dans un congrès
hal-03689674v1
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Identification of the Parameter Values of the Constitutive and Friction Models in Machining Using EGO Algorithm: Application to Ti6Al4V
Nithyaraaj Kugalur Palanisamy
,
Edouard Rivière Lorphèvre
,
Maxime Gobert
,
Guillaume Briffoteaux
,
Daniel Tuyttens
,
et al.
Article dans une revue
hal-03689618v1
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