Pesca Pubblicazione scientifica A probabilistic optimization approach to deal with uncertainties in model calibration FILONE TECNOLOGICO TEMA economia circolare e sostenibilità RIASSUNTO In this paper, we present an approach based on robust probabilistic optimization via simulation to take into account uncertainties in the data used for model calibration. We apply this work to a fishery resource management problem and show that the results obtained can be used in real situation. The model links two time series that are difficult to estimate. During the calibration phase, we are able to identify if the estimates are consistent with each other and to correct them. It reduces uncertainties, improves our knowledge of the system and increases calibration accuracy. We also identify the limits of this approach and its optimal context of use. DATA Data di pubblicazione: 01/07/2020 AUTORI POIRON-GUIDONI NICOLAS BISGAMBIGLIA PAUL-ANTOINE ENTE DI AFFERENZA UNIV CORSICAUMR SCIENCES FOR ENVIRONMENT 6134CORTEFRANCE RIVISTA 2020 IEEE Congress on Evolutionary Computation (CEC) (Page(s): 1-8)