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- W3083644586 abstract "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." @default.
- W3083644586 created "2020-09-11" @default.
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- W3083644586 date "2020-07-01" @default.
- W3083644586 modified "2023-09-25" @default.
- W3083644586 title "A probabilistic optimization approach to deal with uncertainties in model calibration" @default.
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- W3083644586 doi "https://doi.org/10.1109/cec48606.2020.9185903" @default.
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