PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Identification of the Isotherm Function in Chromatography Using CMA-ES
Mohamed Jebalia, Anne Auger, Marc Schoenauer, François James and Marie Postel
In: IEEE Comgress on Evolutionary Computation (2007) IEEE Press , pp. 1879-1886.

Abstract

This paper deals with the identification of the flux for a system of conservation laws in the specific example of chromatography. The fundamental equation of chromatographic process are higly nonlinear. A well known Evolution Strategy CMA-ES (Covariance Matrix Adaptation Evolution Strategy) is applied to estimate parameters of the flux function called isotherm function . Our approach was validated upon different configurations of simulated data using either one, two or three components mixtures. Then, CMA-ES is applied to real data cases and results are compared to gradient strategy

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:3163
Deposited By:Marc Schoenauer
Deposited On:03 January 2008