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

Research output: Contribution to journalJournal article


Journal publication date04/1997
JournalBioprocess and Biosystems Engineering
Number of pages5
Original languageEnglish


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

Bibliographic note

The original publication is available at www.springerlink.com