Optimal control of large-scale batch production by evolutionary computation

Hämäläinen, Jouni; Parviainen, Olli

doi:10.1016/s1474-6670(17)33880-6

Search citation statements

Order By: Relevance

Paper Sections

Select...

Modelling Methods1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2004

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where N = number of experiments, d n = parameter value obtained in the first phase at nth experiment, d = parameter value given by model (4).…”

Section: Modelling Methodsmentioning

confidence: 99%

A Simulation Model for the Control of beta-Glucanase Activity and beta-Glucan Degradation During Germination in Malting

Kuusela

Hämäläinen

Reinikainen³

et al. 2004

Journal of the Institute of Brewing

Self Cite

View full text Add to dashboard Cite

A dynamic model was developed that describes the formation of ␤-glucanase and the degradation of ␤-glucans at different temperatures and grain moistures during the germination of malting barley. The process was analysed by simulations and by solving an optimal control problem for maximising the ␤-glucanase activity. The results demonstrate the effects of controlling dynamically the germination process and improve the understanding of cytolysis in germination.

show abstract

“…where N = number of experiments, d n = parameter value obtained in the first phase at nth experiment, d = parameter value given by model (4).…”

Section: Modelling Methodsmentioning

confidence: 99%