Optimization of fed-batch bioreactors using genetic algorithm: multiple control variables

Sarkar, Debasis and Modak, Jayant M (2004) Optimization of fed-batch bioreactors using genetic algorithm: multiple control variables. In: Computers & Chemical Engineering, 28 (5). pp. 789-798.

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Abstract

The determination of optimal feed rate profiles for fed-batch bioreactors with more than one feed rates is a numerically difficult problem involving multiple singular control variables. A solution strategy based on genetic algorithm approach for the determination of optimal substrate feeding policies for fed-batch bioreactors with multi-control variables is proposed. The multiplier updating method is introduced in the proposed method to handle inequality constraints on state variables. The efficiency of the algorithm is demonstrated for two case studies on fed-batch bioreactors with two control variables taken from literature. The control policies obtained retain the characteristics of the profiles generated through rigorous application of control theory.

Item Type:	Journal Article
Publication:	Computers & Chemical Engineering
Publisher:	Elsevier
Additional Information:	The copyright belongs to Elsevier.
Keywords:	Genetic algorithm;Optimal control;Bioreactors;Fed-batch fermentation
Department/Centre:	Division of Mechanical Sciences > Chemical Engineering
Date Deposited:	19 May 2006
Last Modified:	19 Sep 2010 04:26
URI:	http://eprints.iisc.ac.in/id/eprint/6749

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