Identification of the Isotherm Function in Chromatography Using CMA-ES

TL;DR

This paper applies CMA-ES, a sophisticated evolutionary algorithm, to identify the isotherm function in chromatography, demonstrating its effectiveness on simulated and real data compared to gradient-based methods.

Contribution

It introduces the use of CMA-ES for isotherm function identification in chromatography, showcasing its advantages over traditional gradient-based strategies.

Findings

CMA-ES successfully identified parameters in simulated multi-component chromatography.

The method performed well on real data, outperforming gradient-based approaches.

Results indicate CMA-ES's robustness in handling nonlinear, complex models.

Abstract

This paper deals with the identification of the flux for a system of conservation laws in the specific example of analytic chromatography. The fundamental equations of chromatographic process are highly non linear. The state-of-the-art Evolution Strategy, CMA-ES (the Covariance Matrix Adaptation Evolution Strategy), is used to identify the parameters of the so-called isotherm function. The approach was validated on different configurations of simulated data using either one, two or three components mixtures. CMA-ES is then applied to real data cases and its results are compared to those of a gradient-based strategy.