Identification of the Parameter Values of the Constitutive and Friction Models in Machining Using EGO Algorithm: Application to Ti6Al4V
Kugalur Palanisamy, Nithyaraaj, Rivière Lorphèvre, Edouard, Gobert, Maxime, Briffoteaux, Guillaume, Tuyttens, Daniel, Arrazola, Pedro-José, Ducobu, François
Published in Metals (Basel ) (01.06.2022)
Published in Metals (Basel ) (01.06.2022)
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Observations in applying Bayesian versus evolutionary approaches and their hybrids in parallel time-constrained optimization
Gobert, Maxime, Briffoteaux, Guillaume, Gmys, Jan, Melab, Nouredine, Tuyttens, Daniel
Published in Engineering applications of artificial intelligence (01.11.2024)
Published in Engineering applications of artificial intelligence (01.11.2024)
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Towards ultra-scale Branch-and-Bound using a high-productivity language
Carneiro, Tiago, Gmys, Jan, Melab, Nouredine, Tuyttens, Daniel
Published in Future generation computer systems (01.04.2020)
Published in Future generation computer systems (01.04.2020)
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A bi-objective parallel machine problem with eligibility, release dates and delivery times of the jobs
Mateo, Manuel, Teghem, Jacques, Tuyttens, Daniel
Published in International journal of production research (01.02.2018)
Published in International journal of production research (01.02.2018)
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Heuristics for exact nonnegative matrix factorization
Vandaele, Arnaud, Gillis, Nicolas, Glineur, François, Tuyttens, Daniel
Published in Journal of global optimization (01.06.2016)
Published in Journal of global optimization (01.06.2016)
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Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO
Briffoteaux, Guillaume, Gobert, Maxime, Ragonnet, Romain, Gmys, Jan, Mezmaz, Mohand, Melab, Nouredine, Tuyttens, Daniel
Published in Swarm and evolutionary computation (01.09.2020)
Published in Swarm and evolutionary computation (01.09.2020)
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Parallel multi‐core hyper‐heuristic GRASP to solve permutation flow‐shop problem
Alekseeva, Ekaterina, Mezmaz, Mohand, Tuyttens, Daniel, Melab, Nouredine
Published in Concurrency and computation (10.05.2017)
Published in Concurrency and computation (10.05.2017)
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Multi-core versus many-core computing for many-task Branch-and-Bound applied to big optimization problems
Melab, N., Gmys, J., Mezmaz, M., Tuyttens, D.
Published in Future generation computer systems (01.05.2018)
Published in Future generation computer systems (01.05.2018)
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A bi-objective approach to reschedule new jobs in a one machine model
Teghem, Jacques, Tuyttens, Daniel
Published in International transactions in operational research (01.11.2014)
Published in International transactions in operational research (01.11.2014)
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Parallel multi-core hyper-heuristic GRASP to solve permutation flow-shop problem: Hyper-heuristique GRASP parallèle multi-coeur pour la résolution du flow-shop de permutation
Alekseeva, Ekaterina, Mezmaz, Mohand, Tuyttens, Daniel, Melab, Nouredine
Published in Concurrency and computation (10.05.2017)
Published in Concurrency and computation (10.05.2017)
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Combining multi-core and GPU computing for solving combinatorial optimization problems
Chakroun, I., Melab, N., Mezmaz, M., Tuyttens, D.
Published in Journal of parallel and distributed computing (01.12.2013)
Published in Journal of parallel and distributed computing (01.12.2013)
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