Jean Bigeon Associated member, GERAD share Laboratory of digital sciences of Nantes, Université de Nantes jean.bigeon@univ-nantes.fr Office 5457 Other titles and affiliations since Jan 2021 Research Director, National Center for Scientific Research (CNRS) Jan 2015 – Jan 2021 Laboratoire G-SCOP Research Axes Axis 2: Decision support made in complex systems Axis 3: Decision support made under uncertainty Research Applications Energy, environment and natural resources Engineering (engineering design, digital design) Publications Sep 2024 Handling of constraints in multiobjective blackbox optimization Jean Bigeon, Sébastien Le Digabel, and Ludovic Salomon Computational Optimization and Applications, 89(1), 69–113, 2024 BibTeX reference Nov 2023 Sequential stochastic blackbox optimization with zeroth order gradient estimator Charles Audet, Jean Bigeon, Romain Couderc, and Michael Kokkolaras AIMS Mathematics, 8(11), 25922–25956, 2023 BibTeX reference Oct 2023 G-2023-46 Risk averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties Charles Audet, Jean Bigeon, Romain Couderc, and Michael Kokkolaras This paper addresses risk averse constrained optimization problems where the objective and constraint functions can only be computed by a blackbox subject to... BibTeX reference 17 publications News Doctoral thesis defence of Paul Raynaud - May 2, 9h Apr 24, 2024 Title: Exploiting the partially-separable structure in quasi-Newton methods for unconstrained optimization and deep learning Doctoral thesis defence of Romain Couderc - December 11, 9h30 Dec 11, 2023 Title: Peregrination Through Blackbox Optimization: Multimodality, Stochasticity and Risk Aversion Three of the most cited articles since 2020 in EJOR Jan 12, 2023 Here are three of the most cited articles from European Journal of Operational Research published since 2020, extracted from Scopus. Machine learning for combinatorial optimization: A methodological tour d'horizon Yoshua Bengio, Andrea Lodi, Antoine Prouvost, 290(2), 405-421, avril 2021. A concise guide to existing and emerging vehicle routing problem variants Thibaut Vidal, Gilbert Laporte, Piotr Matl, 286(2), 401-416, octobre 2020. Performance indicators in multiobjective optimization Charles Audet, Jean Bigeon, Dominique Cartier, Sébastien Le Digabel et Ludovic Salomon, 292(2), 397-422, juillet 2021. 5 news Events Dec 12, 202310:00 AM — 11:00 AM Data-Driven Computational Design of Engineered Material Systems GERAD seminar Wei Chen – Northwestern University Hybrid activity at GERAD Supervision Maxime Gras Internship Paul Raynaud Ph.D. Romain Couderc Ph.D. Ludovic Salomon Ph.D.
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