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

被引：0

作者：

P. Angelov

R. Guthke

机构：

[1] Center for Biomedical Engineering,

[2] Bulgarian Academy of Sciences,undefined

[3] 105,undefined

[4] Acad. G. Bonchev str. Sofia -1113,undefined

[5] Bulgaria,undefined

[6] Hans Knöll Institute for Natural Product Research,undefined

[7] Beutenbergstr. 11 07745 Jena,undefined

[8] Germany,undefined

来源：

Bioprocess Engineering | 1997年 / 16卷

关键词：

Fermentation; Genetic Algorithm; Control Variable; Membership Function; Output Product;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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%.

引用

页码：299 / 303

页数：4