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2020 – today
- 2024
[j30]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)- [j29]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) - 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) - [c17]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 - [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 - [c15]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
- [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) - [j25]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) - [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
2010 – 2019
- 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) - [j20]Manuel Mateo, Jacques Teghem, Daniel Tuyttens:
A bi-objective parallel machine problem with eligibility, release dates and delivery times of the jobs. Int. J. Prod. Res. 56(3): 1030-1053 (2018) - [c13]Guillaume Briffoteaux, Nouredine Melab, Mohand Mezmaz, Daniel Tuyttens:
An Adaptive Evolution Control based on Confident Regions for Surrogate-assisted Optimization. HPCS 2018: 802-809 - [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
- [j19]Ekaterina Alekseeva, Mohand Mezmaz, Daniel Tuyttens, Nouredine Melab:
Parallel multi-core hyper-heuristic GRASP to solve permutation flow-shop problem. Concurr. Comput. Pract. Exp. 29(9) (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) - [j16]Arnaud Vandaele, Nicolas Gillis, François Glineur, Daniel Tuyttens:
Heuristics for exact nonnegative matrix factorization. J. Glob. Optim. 65(2): 369-400 (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 - [c10]Gautier Vaillant, Mohand Mezmaz, Daniel Tuyttens, Nouredine Melab:
Vectorization of local search for solving flow-shop scheduling problem on Xeon Phi™ MIC co-processors. HPCS 2016: 729-735 - 2015
- [c9]Nouredine Melab, Rudi Leroy, Mohand Mezmaz, Daniel Tuyttens:
Parallel Branch-and-Bound using private IVM-based work stealing on Xeon Phi MIC coprocessor. HPCS 2015: 394-399 - [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 - 2014
- [j14]Mohand Mezmaz, Malika Mehdi, Pascal Bouvry, Nordine Melab, El-Ghazali Talbi, Daniel Tuyttens:
Solving the three dimensional quadratic assignment problem on a computational grid. Clust. Comput. 17(2): 205-217 (2014) - [j13]Daniel Tuyttens, Arnaud Vandaele:
Towards an efficient resolution of printing problems. Discret. Optim. 14: 126-146 (2014) - [j12]Thibaut Lust, Daniel Tuyttens:
Variable and large neighborhood search to solve the multiobjective set covering problem. J. Heuristics 20(2): 165-188 (2014) - [j11]Jacques Teghem, Daniel Tuyttens:
A bi-objective approach to reschedule new jobs in a one machine model. Int. Trans. Oper. Res. 21(6): 871-898 (2014) - [c7]Mohand Mezmaz, Rudi Leroy, Nouredine Melab, Daniel Tuyttens:
A Multi-core Parallel Branch-and-Bound Algorithm Using Factorial Number System. IPDPS 2014: 1203-1212 - [c6]Rudi Leroy, Mohand Mezmaz, Nouredine Melab, Daniel Tuyttens:
Work Stealing Strategies For Multi-Core Parallel Branch-and-Bound Algorithm Using Factorial Number System. PMAM 2014: 111 - [i2]Arnaud Vandaele, Nicolas Gillis, François Glineur, Daniel Tuyttens:
Heuristics for Exact Nonnegative Matrix Factorization. CoRR abs/1411.7245 (2014) - 2013
- [j10]Imen Chakroun, Nordine Melab, Mohand-Said Mezmaz, Daniel Tuyttens:
Combining multi-core and GPU computing for solving combinatorial optimization problems. J. Parallel Distributed Comput. 73(12): 1563-1577 (2013) - [c5]Thibaut Lust, Daniel Tuyttens:
Two-Phase Pareto Local Search to Solve the Biobjective Set Covering Problem. TAAI 2013: 397-402 - 2012
- [c4]Nouredine Melab, Imen Chakroun, Mohand Mezmaz, Daniel Tuyttens:
A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem. CLUSTER 2012: 10-17 - [i1]Nouredine Melab, Imen Chakroun, Mohand-Said Mezmaz, Daniel Tuyttens:
A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem. CoRR abs/1208.3933 (2012) - 2011
- [j9]Mohand-Said Mezmaz, Nouredine Melab, Yacine Kessaci, Young Choon Lee, El-Ghazali Talbi, Albert Y. Zomaya, Daniel Tuyttens:
A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems. J. Parallel Distributed Comput. 71(11): 1497-1508 (2011) - [c3]Thibaut Lust, Jacques Teghem, Daniel Tuyttens:
Very Large-Scale Neighborhood Search for Solving Multiobjective Combinatorial Optimization Problems. EMO 2011: 254-268 - [p2]Yacine Kessaci, Mohand Mezmaz, Nouredine Melab, El-Ghazali Talbi, Daniel Tuyttens:
Parallel Evolutionary Algorithms for Energy Aware Scheduling. Intelligent Decision Systems in Large-Scale Distributed Environments 2011: 75-100 - 2010
- [j8]Daniel Tuyttens, Arnaud Vandaele:
Using a greedy random adaptative search procedure to solve the cover printing problem. Comput. Oper. Res. 37(4): 640-648 (2010) - [c2]Fabian Lecron, Pierre Manneback, Daniel Tuyttens:
Exploiting grid computation for solving the Vehicle Routing Problem. AICCSA 2010: 1-6 - [c1]Mohand-Said Mezmaz, Yacine Kessaci, Young Choon Lee, Nouredine Melab, El-Ghazali Talbi, Albert Y. Zomaya, Daniel Tuyttens:
A parallel island-based hybrid genetic algorithm for precedence-constrained applications to minimize energy consumption and makespan. GRID 2010: 274-281
2000 – 2009
- 2006
- [j7]Andrzej Jaszkiewicz, Daniel Tuyttens:
Metaheuristics in multiple objective optimization. Eur. J. Oper. Res. 169(3): 873-874 (2006) - 2005
- [j6]Taïcir Loukil, Jacques Teghem, Daniel Tuyttens:
Solving multi-objective production scheduling problems using metaheuristics. Eur. J. Oper. Res. 161(1): 42-61 (2005) - 2004
- [p1]Daniel Tuyttens, Jacques Teghem, Nasser El-Sherbeny:
A Particular Multiobjective Vehicle Routing Problem Solved by Simulated Annealing. Metaheuristics for Multiobjective Optimisation 2004: 133-152 - 2000
- [j5]Jacques Teghem, Daniel Tuyttens, Ekunda L. Ulungu:
An interactive heuristic method for multi-objective combinatorial optimization. Comput. Oper. Res. 27(7-8): 621-634 (2000) - [j4]Daniel Tuyttens, Jacques Teghem, Philippe Fortemps, K. Van Nieuwenhuyze:
Performance of the MOSA Method for the Bicriteria Assignment Problem. J. Heuristics 6(3): 295-310 (2000)
1990 – 1999
- 1994
- [j3]Daniel Tuyttens, Marc Pirlot, Jacques Teghem, E. Trauwaert, B. Liégeois:
Homogeneous grouping of nuclear fuel cans through simulated annealing and tabu search. Ann. Oper. Res. 50(1): 575-607 (1994) - 1992
- [j2]Philippe L. Toint, Daniel Tuyttens:
LSNNO, a FORTRAN subroutine for solving large-scale nonlinear network optimization problems. ACM Trans. Math. Softw. 18(3): 308-328 (1992) - 1990
- [j1]Philippe L. Toint, Daniel Tuyttens:
On Large Scale Nonlinear Network Optimization. Math. Program. 48: 125-159 (1990)
Coauthor Index
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last updated on 2024-09-10 01:17 CEST by the dblp team
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