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Stratigraphic modeling involves a multidimensional parameter fitting problem where a large number of free model parameters have to be adjusted for the model to match observational data. This task can be viewed as an optimization problem, which here is addressed using a genetic algorithm. The iterative trying-and-checking process, usually done manually, is thereby automated.

We apply this method for the automatic construction of sea level and subsidence curves for two simple toy models. We also address the problem of distinguishing the sea level variations vs. subsidence variations, and we give an example of a simulation involving carbonates from Mallorca, Spain.

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