Optimization of fed-batch yeast culture by using genetic algorithm = 유전알고리즘을 이용한 유가식 효모 배양 최적화

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Title
Optimization of fed-batch yeast culture by using genetic algorithm = 유전알고리즘을 이용한 유가식 효모 배양 최적화
Author(s)
Jeong Geol Na; Yong Keun Chang; Bong Hyun Chung
Bibliographic Citation
Korean Journal of Biotechnology and Bioengineering, vol. 14, no. 4, pp. 495-502
Publication Year
1999
Abstract
A simulation and experimental study has been carried out on the adaptive optimization of fed-batch culture of yeast. In the simulation study, three genetic algorithms based on different optimization strategies were developed. The performance of those three algorithms were compared with one another and with that of a variational calculus approach. The one that showed the best performance was selected to be used in the subsequent experimental study. To confer an adaptability, an online adaptation (or model update) algorithm was developed and incorporated into the selected optimization algorithm. The resulting adaptive algorithm was experimentally applied to fed-batch cultures of a recombinant yeast producing salmon calcitonin, to maximize the cell mass production. It followed the actual process quite well and gave a much higher value of performance index than the simple genetic algorithm with no adaptability.
Keyword
genetic algorithmfed-batch optimization
ISSN
1225-7117
Publisher
Korea Soc-Assoc-Inst
Type
Article
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1. Journal Articles > Journal Articles
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