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

被引：30

作者：

Angelov, P ^{[1
]}

Guthke, R ^{[1
]}

机构：

[1] HANS KNOLL INST NAT PROD RES,D-07745 JENA,GERMANY

来源：

BIOPROCESS ENGINEERING | 1997年 / 16卷 / 05期

关键词：

D O I：

10.1007/s004490050326

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

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：5

共 18 条

[1] A GENETIC ALGORITHMIC FRAMEWORK FOR PROCESS DESIGN AND OPTIMIZATION [J].