Flexibility Analysis Using Surrogate Models Generated via Symbolic Regression

Tim Forster, Daniel Vázquez, Isabela Fons Moreno-Palancas, Gonzalo Guillén-Gosálbez

Producció científica: Capítol de llibreCapítolAvaluat per experts

Resum

Computing the flexibility index to quantify the extent to which disturbances and uncertainties can affect a given process can be very challenging, especially if constraints are hard to describe algebraically or if they are unavailable as closed-form expressions. Here, we tackle the challenge of solving a flexibility index problem in the presence of such constraints by using symbolic regression. In essence, we replace those constraints in the flexibility index problem by an algebraic surrogate built using symbolic regression. This facilitates the solution process of the flexibility index problem by allowing the user to apply off-the-shelf deterministic solvers. We showcase the capabilities of our approach in a case study, discussing the pros and cons of the suggested approach relative to other existing approaches.

Idioma originalAnglès
Títol de la publicacióComputer Aided Chemical Engineering
EditorElsevier B.V.
Pàgines2791-2796
Nombre de pàgines6
DOIs
Estat de la publicacióPublicada - 2024

Sèrie de publicacions

NomComputer Aided Chemical Engineering
Volum53
ISSN (imprès)1570-7946

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