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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Link to published version:: 10.1109/3CA.2010.5533789


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: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
Identification Number: 10.1109/3CA.2010.5533789
Depositing User: Ann Betterton
Date Deposited: 29 Sep 2010 12:26
Last Modified: 20 Aug 2015 02:20
URI: http://shura.shu.ac.uk/id/eprint/2525

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