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%.
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Received: 27 June 1996
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Angelov, P., Guthke, R. A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules. Bioprocess Engineering 16, 299–303 (1997). https://doi.org/10.1007/s004490050326
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DOI: https://doi.org/10.1007/s004490050326