Multi-objective optimization and decision visualization of batch stirred tank reactor based on spherical catalyst particles
| Autor: | Antanas Žilinskas, Romas Baronas, Linas Litvinas, Linas Petkevičius |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Nonlinear Analysis, Vol 24, Iss 6 (2019) |
| Druh dokumentu: | article |
| ISSN: | 1392-5113 2335-8963 |
| DOI: | 10.15388/NA.2019.6.10 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|