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Bounded-error optimal experimental design via global solution of constrained min–max program.
- Source :
-
Computers & Chemical Engineering . Mar2018, Vol. 111, p92-101. 10p. - Publication Year :
- 2018
-
Abstract
- We present an improvement of existing methods for globally solving optimal experimental design (OED) for bounded-error estimation based on a bilevel formulation from Mukkala et al. (2017). The proposed solution method for the min–max program is based on our method for generalized semi-infinite programs (via restriction of the right-hand side). The algorithm employed has the advantage that it guarantees a global solution for the OED assuming the global solution of two subproblems. To obtain a feasible solution only the lower-level problem has to be solved globally. In case of a local solution of the upper-level problem, the solution is still feasible though it is an upper bound of the global solution. The min–max method for OED is illustrated with four examples: two simple chemical reactions, BET-adsorption and a reformulated predator-prey system. The benefits of global methods are shown along with the limitations of state-of-the-art global solvers. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00981354
- Volume :
- 111
- Database :
- Academic Search Index
- Journal :
- Computers & Chemical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 128003074
- Full Text :
- https://doi.org/10.1016/j.compchemeng.2017.12.016