ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Evolutionary Algorithm for the Determination of Optimal Mode of Bioreactor Operation

Mandli, Aravinda R and Modak, Jayant M (2012) Evolutionary Algorithm for the Determination of Optimal Mode of Bioreactor Operation. In: Industrial & Engineering Chemistry Research, 51 (4). pp. 1796-1808.

[img] PDF
Evolutionary.pdf - Published Version
Restricted to Registered users only

Download (1365Kb) | Request a copy
Official URL: http://dx.doi.org/10.1021/ie2006142

Abstract

Stirred tank bioreactors, employed in the production of a variety of biologically active chemicals, are often operated in batch, fed-batch, and continuous modes of operation. The optimal design of bioreactor is dependent on the kinetics of the biological process, as well as the performance criteria (yield, productivity, etc.) under consideration. In this paper, a general framework is proposed for addressing the two key issues related to the optimal design of a bioreactor, namely, (i) choice of the best operating mode and (ii) the corresponding flow rate trajectories. The optimal bioreactor design problem is formulated with initial conditions and inlet and outlet flow rate trajectories as decision variables to maximize more than one performance criteria (yield, productivity, etc.) as objective functions. A computational methodology based on genetic algorithm approach is developed to solve this challenging multiobjective optimization problem with multiple decision variables. The applicability of the algorithm is illustrated by solving two challenging problems from the bioreactor optimization literature.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to American Chemical Society.
Department/Centre: Division of Mechanical Sciences > Chemical Engineering
Date Deposited: 22 Mar 2012 05:12
Last Modified: 22 Mar 2012 05:12
URI: http://eprints.iisc.ernet.in/id/eprint/44022

Actions (login required)

View Item View Item