Geoffrey Pruvost bio photo

Geoffrey Pruvost

Docteur-Entrepreneur a l'Inria Startup Studio.

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A paraître / preprint

October 2021 A Modular Surrogate-assisted Framework for Expensive Multiobjective Combinatorial Optimization Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang
Preprint
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Articles de conférence

June 2021 Enhancing MOEA/D with Escape Mechanisms Bilel Derbel, Geoffrey Pruvost, Byung-Woo Hong
IEEE Congress on Evolutionary Computation (IEEE CEC 2021)
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July 2020 Surrogate-assisted Multi-objective Combinatorial Optimization based on Decomposition and Walsh Basis Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang
Genetic and Evolutionary Computation Conference (GECCO 2020)
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April 2020 On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang
Evolutionary Computation in Combinatorial Optimization. EvoCOP 2020. Lecture Notes in Computer Science, vol 12102. Springer, Cham
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Thèse

2018 - 2021 University of Lille / Inria Machine Learning and Decomposition Techniques for Large-scale Multi-objective Optimization