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Geoffrey Pruvost
Geoffrey Pruvost
Data Science & R&D at Diag n'Grow
Correu electrònic verificat a pruvost.xyz - Pàgina d'inici
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On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
G Pruvost, B Derbel, A Liefooghe, K Li, Q Zhang
Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020 12102 …, 2020
212020
Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis
G Pruvost, B Derbel, A Liefooghe, S Verel, Q Zhang
Proceedings of the 2020 genetic and evolutionary computation conference, 542-550, 2020
112020
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions
B Derbel, G Pruvost, A Liefooghe, S Verel, Q Zhang
Applied Soft Computing 136, 110061, 2023
52023
Enhancing MOEA/D with escape mechanisms
B Derbel, G Pruvost, BW Hong
2021 IEEE Congress on Evolutionary Computation (CEC), 1163-1170, 2021
42021
A modular surrogate-assisted framework for expensive multiobjective combinatorial optimization
G Pruvost, B Derbel, A Liefooghe, S Verel, Q Zhang
22021
Moead-framework: a modular MOEA/D Python framework
G Pruvost, B Derbel, A Liefooghe
Journal of Open Source Software 7 (78), 2974, 2022
12022
Contributions à l’optimisation multi-objectif à base de décomposition
G Pruvost
Université de Lille, 2021
2021
HAL Id: hal-03818749
G Pruvost, B Derbel, A Liefooghe
Moead-framework: a modular MOEA/D python
G Pruvost, B Derbel, A Liefooghe
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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