Multi-objective optimization and decision visualization of batch stirred tank reactor based on spherical catalyst particles
Articles
Antanas Žilinskas
Vilnius University
Romas Baronas
Vilnius University
https://orcid.org/0000-0002-9175-9623
Linas Litvinas
Vilnius University
Linas Petkevičius
Vilnius University
Published 2019-11-07
https://doi.org/10.15388/NA.2019.6.10
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Keywords

multi-objective optimization
multi-dimensional scaling
microreactor
reaction– diffusion

How to Cite

Žilinskas A., Baronas R., Litvinas L. and Petkevičius L. (2019) “Multi-objective optimization and decision visualization of batch stirred tank reactor based on spherical catalyst particles”, Nonlinear Analysis: Modelling and Control, 24(6), pp. 1019–1033. doi: 10.15388/NA.2019.6.10.

Abstract

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.

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