Evolutionary optimization of a fed-batch penicillin fermentation process

ZHANG, H., ZHANG, Z. and LAN, L. H. (2010). Evolutionary optimization of a fed-batch penicillin fermentation process. In: 2010 International Symposium on Computer, Communication, Control and Automation, Tainan, 5-7 May 2010. p. 403.

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Abstract

This paper presents a genetic algorithms approach for the optimization of a fed-batch penicillin fermentation process. A customized float-encoding genetic algorithm is developed and implemented to a benchmark fed-batch penicillin fermentation process. Off-line optimization of the initial conditions and set points are carried out in two stages for a single variable and multiple variables. Further investigations with online optimization have been carried out to demonstrate that the yield can be significantly improved with an optimal feed rate profile. The results have shown that the proposed approaches can be successfully applied to optimization problems of fed-batch fermentation to improve the operation of such processes.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	©2010 IEEE
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number:	https://doi.org/10.1109/3CA.2010.5533789
Page Range:	p. 403
Depositing User:	Ann Betterton
Date Deposited:	29 Sep 2010 12:26
Last Modified:	18 Mar 2021 08:09
URI:	https://shura.shu.ac.uk/id/eprint/2525

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