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Poster communications

Bayesian multi-objective optimization for quantitative risk assessment in microbiology

Abstract : As a part of the European project ArtiSaneFood, the primary goal of this collaborative work between ANSES, CNIEL and L2S is to establish efficient bio-intervention strategies for cheese producers in France, in order to "economically" reduce the risk of Haemolytic Uremic Syndrome (HUS) caused by Shiga-Toxin producing Escherichia Coli (STEC) present in raw-milk soft cheese. This translates into a multi-objective optimization problem of a stochastic simulator based on a quantitative risk assessment (QRA) model proposed by Frédérique Perrin and co-authors in 2014, to estimate the Pareto optimal solutions for the process intervention parameters.
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Contributor : Julien Bect Connect in order to contact the contributor
Submitted on : Wednesday, July 6, 2022 - 9:13:54 PM
Last modification on : Thursday, August 4, 2022 - 5:28:57 PM


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  • HAL Id : hal-03715857, version 1


Subhasish Basak, Julien Bect, Laurent L. Guillier, Fanny Tenenhaus-Aziza, Janushan Christy, et al.. Bayesian multi-objective optimization for quantitative risk assessment in microbiology. MASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France. ⟨hal-03715857⟩



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