Egea, Jose A.

Egea Jose A.

University of Szeged

An Optimization Approach for Integrated Design and ParameterEstimation in Process EngineeringJose A. EgeaTypical problems in (bio)chemical processes such as integrated design and parameter es-timation can be stated as non-linear programming problems subject to non-linear differentialconstraints. These are frequently non-convex and/or ill-conditioned. Besides, the computa-tional time associated to each function evaluation (i.e. simulation) can be considerably high.To surmount these disadvantages, the use of global optimization methods is proposed. In par-ticular, those methods that use any sort of surrogate model instead of the original model areintended to provide good solutions in relatively short computation times. We will focus in acomputationally expensive model to test the capabilities of some global optimization methodsbased in surrogate models which are currently being investigated in order to effectively applythem to costly process engineering problems.45

An optimization approach for integrated design and parameter estimation in process engineering : [abstract]

http://acta.bibl.u-szeged.hu/59850/1/cscs_2006_045.pdf

An optimization approach for integrated design and parameter estimation in process engineering

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