Optimization of fermentation medium by a modified method of genetic algorithms

被引：20

作者：

Zuzek, M ^{[1
]}

Friedrich, J ^{[1
]}

Cestnik, B ^{[1
]}

Karalic, A ^{[1
]}

Cimerman, A ^{[1
]}

机构：

[1] JOZEF STEFAN INST,LJUBLJANA 1000,SLOVENIA

来源：

BIOTECHNOLOGY TECHNIQUES | 1996年 / 10卷 / 12期

关键词：

D O I：

10.1007/BF00180409

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

During the study of mevinolin biosynthesis by Aspergillus terreus ATCC 20542, 10 different medium components were selected for medium optimization. A new optimization method based on genetic algorithms and inductive learning was used for experimental design. For better efficiency the method was supported by a model, constructed with machine learning method, to predict the productivity. In four generations of fermentation experiments the productivity increased nearly three times.

引用

页码：991 / 996

页数：6

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