Daniel Tuyttens
Orcid: 0000-0002-2567-1324
According to our database1,
Daniel Tuyttens
authored at least 50 papers
between 1990 and 2024.
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Bibliography
2024
Investigating surrogate-based hybrid acquisition processes. Application to Covid-19 contact mitigation.
Appl. Soft Comput., January, 2024
Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization.
Eng. Appl. Artif. Intell., 2024
2022
Batch Acquisition for Parallel Bayesian Optimization - Application to Hydro-Energy Storage Systems Scheduling.
Algorithms, 2022
Comparing Parallel Surrogate-Based and Surrogate-Free Multi-objective Optimization of COVID-19 Vaccines Allocation.
Proceedings of the Optimization and Learning - 5th International Conference, 2022
Parallel Bayesian Optimization for Optimal Scheduling of Underground Pumped Hydro-Energy Storage Systems.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Hybrid Acquisition Processes in Surrogate-Based Optimization. Application to Covid-19 Contact Reduction.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022
2020
Proceedings of the High-Performance Simulation-Based Optimization, 2020
A comparative study of high-productivity high-performance programming languages for parallel metaheuristics.
Swarm Evol. Comput., 2020
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO.
Swarm Evol. Comput., 2020
Future Gener. Comput. Syst., 2020
Evolution Control for parallel ANN-assisted simulation-based optimization application to Tuberculosis Transmission Control.
Future Gener. Comput. Syst., 2020
A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem.
Eur. J. Oper. Res., 2020
2019
Surrogate-Assisted Optimization for Multi-stage Optimal Scheduling of Virtual Power Plants.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019
2018
A bi-objective parallel machine problem with eligibility, release dates and delivery times of the jobs.
Int. J. Prod. Res., 2018
Multi-core <i>versus</i> many-core computing for many-task Branch-and-Bound applied to big optimization problems.
Future Gener. Comput. Syst., 2018
Concurr. Comput. Pract. Exp., 2018
Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2018, 2018
An Adaptive Evolution Control based on Confident Regions for Surrogate-assisted Optimization.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018
2017
IVM-based parallel branch-and-bound using hierarchical work stealing on multi-GPU systems.
Concurr. Comput. Pract. Exp., 2017
Concurr. Comput. Pract. Exp., 2017
2016
Parallel Comput., 2016
Work stealing with private integer-vector-matrix data structure for multi-core branch-and-bound algorithms.
Concurr. Comput. Pract. Exp., 2016
Vectorization of local search for solving flow-shop scheduling problem on Xeon Phi™ MIC co-processors.
Proceedings of the International Conference on High Performance Computing & Simulation, 2016
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016
2015
Proceedings of the Parallel Processing and Applied Mathematics, 2015
Parallel Branch-and-Bound using private IVM-based work stealing on Xeon Phi MIC coprocessor.
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015
2014
Int. Trans. Oper. Res., 2014
Variable and large neighborhood search to solve the multiobjective set covering problem.
J. Heuristics, 2014
Clust. Comput., 2014
Work Stealing Strategies For Multi-Core Parallel Branch-and-Bound Algorithm Using Factorial Number System.
Proceedings of the 2014 PPOPP International Workshop on Programming Models and Applications for Multicores and Manycores, 2014
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014
2013
Combining multi-core and GPU computing for solving combinatorial optimization problems.
J. Parallel Distributed Comput., 2013
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013
2012
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012
2011
Proceedings of the Intelligent Decision Systems in Large-Scale Distributed Environments, 2011
A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems.
J. Parallel Distributed Comput., 2011
Very Large-Scale Neighborhood Search for Solving Multiobjective Combinatorial Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011
2010
Using a greedy random adaptative search procedure to solve the cover printing problem.
Comput. Oper. Res., 2010
A parallel island-based hybrid genetic algorithm for precedence-constrained applications to minimize energy consumption and makespan.
Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, 2010
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010
2006
2005
Eur. J. Oper. Res., 2005
2004
Proceedings of the Metaheuristics for Multiobjective Optimisation, 2004
2000
J. Heuristics, 2000
Comput. Oper. Res., 2000
1994
Homogeneous grouping of nuclear fuel cans through simulated annealing and tabu search.
Ann. Oper. Res., 1994
1992
LSNNO, a FORTRAN subroutine for solving large-scale nonlinear network optimization problems.
ACM Trans. Math. Softw., 1992
1990