Applying metamodels and sequential sampling for constrained optimization of process operations

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Title:	Applying metamodels and sequential sampling for constrained optimization of process operations
Author:	Shokry, Ahmed F.; Espuña Camarasa, Antonio
Other authors:	Universitat Politècnica de Catalunya. Departament d'Enginyeria Química; Universitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering
Abstract:	This paper presents a framework for nonlinear constrained optimization of complex systems, in which the objective function and the constraints are represented by black box functions. The proposed approach replaces the complex nonlinear model based on first principles with Kriging metamodels. Coupled to Kriging, the
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria química -Chemical industry -Mathematical models -Adaptive Sampling -Kriging -Optimization -Process Operation -Surrogate Models -Indústria química -Models matemàtics
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Published version Conference Object
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