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Daniel Tuyttens
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Publications
- 2022
- [j28]Maxime Gobert, Jan Gmys, Jean-François Toubeau, Nouredine Melab, Daniel Tuyttens, François Vallée:
Batch Acquisition for Parallel Bayesian Optimization - Application to Hydro-Energy Storage Systems Scheduling. Algorithms 15(12): 446 (2022) - [c16]Maxime Gobert, Jan Gmys, Jean-François Toubeau, Nouredine Melab, Daniel Tuyttens, François Vallée:
Parallel Bayesian Optimization for Optimal Scheduling of Underground Pumped Hydro-Energy Storage Systems. IPDPS Workshops 2022: 790-797 - 2020
- [j27]Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens:
A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem. Eur. J. Oper. Res. 284(3): 814-833 (2020) - [j26]Tiago Carneiro, Jan Gmys, Nouredine Melab, Daniel Tuyttens:
Towards ultra-scale Branch-and-Bound using a high-productivity language. Future Gener. Comput. Syst. 105: 196-209 (2020) - [j24]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) - [j23]Jan Gmys, Tiago Carneiro, Nouredine Melab, El-Ghazali Talbi, Daniel Tuyttens:
A comparative study of high-productivity high-performance programming languages for parallel metaheuristics. Swarm Evol. Comput. 57: 100720 (2020) - [p3]Nouredine Melab, Jan Gmys, Mohand Mezmaz, Daniel Tuyttens:
Many-Core Branch-and-Bound for GPU Accelerators and MIC Coprocessors. High-Performance Simulation-Based Optimization 2020: 275-291 - 2019
- [c14]Maxime Gobert, Jan Gmys, Jean-François Toubeau, François Vallée, Nouredine Melab, Daniel Tuyttens:
Surrogate-Assisted Optimization for Multi-stage Optimal Scheduling of Virtual Power Plants. HPCS 2019: 113-120 - 2018
- [j22]Tiago Carneiro Pessoa, Jan Gmys, Francisco Heron de Carvalho Junior, Nouredine Melab, Daniel Tuyttens:
GPU-accelerated backtracking using CUDA Dynamic Parallelism. Concurr. Comput. Pract. Exp. 30(9) (2018) - [j21]Nouredine Melab, Jan Gmys, Mohand-Said Mezmaz, Daniel Tuyttens:
Multi-core versus many-core computing for many-task Branch-and-Bound applied to big optimization problems. Future Gener. Comput. Syst. 82: 472-481 (2018) - [c12]Tiago Carneiro, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Pedro Pedrosa Rebouças Filho, Daniel Tuyttens:
Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms. VECPAR 2018: 16-30 - 2017
- [j18]Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens:
IVM-based parallel branch-and-bound using hierarchical work stealing on multi-GPU systems. Concurr. Comput. Pract. Exp. 29(9) (2017) - 2016
- [j17]Jan Gmys, Rudi Leroy, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens:
Work stealing with private integer-vector-matrix data structure for multi-core branch-and-bound algorithms. Concurr. Comput. Pract. Exp. 28(18): 4463-4484 (2016) - [j15]Jan Gmys, Mohand-Said Mezmaz, Nouredine Melab, Daniel Tuyttens:
A GPU-based Branch-and-Bound algorithm using Integer-Vector-Matrix data structure. Parallel Comput. 59: 119-139 (2016) - [c11]Tiago Carneiro Pessoa, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Daniel Tuyttens:
A GPU-Based Backtracking Algorithm for Permutation Combinatorial Problems. ICA3PP 2016: 310-324 - 2015
- [c8]Jan Gmys, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens:
IVM-Based Work Stealing for Parallel Branch-and-Bound on GPU. PPAM (1) 2015: 548-558
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