We propose a data-driven evolutionary approach to the modeling of marine currents in the Bay of Monaco. The CMA (Covariance Matrix Adaptation) evolution strategy is used to optimize the parameters of a predictive model that may be used as a surrogate of expensive and time-consuming finite-element simulations. The models obtained are reasonably accurate and easy to interpret.
Coastal current prediction using CMA evolution strategies / A.G.B. Tettamanzi, C. Dartigues-Pallez, C. da Costa Pereira, D. Pallez, P. Gourbesville - In: GECCO '11 : 13. annual Conference on genetic and evolutionary computation : proceedings / [a cura di] N. Krasnogor, P.L. Lanzi. - New York : Association for computing machinery, 2011. - ISBN 9781450305570. - pp. 1715-1722 (( Intervento presentato al 13. convegno Conference on Genetic and Evolutionary Computation (GECCO) tenutosi a Dublin nel 2011 [10.1145/2001576.2001807].
Coastal current prediction using CMA evolution strategies
A.G.B. TettamanziPrimo
;
2011
Abstract
We propose a data-driven evolutionary approach to the modeling of marine currents in the Bay of Monaco. The CMA (Covariance Matrix Adaptation) evolution strategy is used to optimize the parameters of a predictive model that may be used as a surrogate of expensive and time-consuming finite-element simulations. The models obtained are reasonably accurate and easy to interpret.
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