Multi-objective optimization and decision visualization of batch stirred tank reactor based on spherical catalyst particles. (English) Zbl 1429.92102
Summary: This paper presents a Bayesian approach rooted algorithm oriented to the properties of multi-objective optimization problems. The performance of the developed algorithm is compared with several other multi-objective optimization algorithms. The approach is applied to the multiobjective optimization of a batch stirred tank reactor based on spherical catalyst microreactors. The microbioreactors are computationally modeled by a two-compartment model based on reaction-diffusion equations containing a nonlinear term related to the Michaelis-Menten enzyme kinetics. A two-stage visualization procedure based on the multi-dimensional scaling is proposed and applied for the visualization of trade-off solutions and for the selection of favorable configurations of the bioreactor.
MSC:
| 92C75 | Biotechnology |
| 92C45 | Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) |
| 35Q92 | PDEs in connection with biology, chemistry and other natural sciences |
| 35K57 | Reaction-diffusion equations |
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