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A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules.

Angelov, Plamen and Guthke, Reinhard (1997) A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules. Bioprocess and Biosystems Engineering, 16 (5). pp. 299-303. ISSN 1615-7591

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Abstract

A new approach to optimization of bioprocesses described by fuzzy rules is introduced in the paper. It is based on genetic algorithms (GA) and allows to determine optimal values or profiles of control variables and to optimize fuzzy rules (parameters of membership functions). The process can be described by linguistic variables and fuzzy rules. An algorithm and related software was developed. The approach was applied to an industrial antibiotic fermentation. The optimal profile of a physical variable of the preculture was determined which leads to an increasing output product concentration in the main culture of about 5%. (c) Springer

Item Type: Article
Journal or Publication Title: Bioprocess and Biosystems Engineering
Additional Information: The original publication is available at www.springerlink.com
Uncontrolled Keywords: Add DCS-publications-id ; art-554 ; DCS-publications-personnel-id ; 82
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 912
Deposited By: Dr. Plamen Angelov
Deposited On: 09 Jan 2008 09:37
Refereed?: Yes
Published?: Published
Last Modified: 21 Mar 2014 10:19
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/912

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