Multiobjective parameter estimation problems of fermentation processes using a high ethanol tolerance yeast

By Feng-Sheng Wang, Jyh-Woei Sheu. 2000

115 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d877e5c23a89148fdb84ad315633c935ed2dfafc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Joni-Kristian Kamarainen
2. Jouni Lampinen
3. Saku Kukkonen
4. Jarmo Ilonen

In Molecular Biology

1. Joni-Kristian Kamarainen
2. Jouni Lampinen
3. Saku Kukkonen
4. Jarmo Ilonen

Citations in the corpus

• Differential Evolution Training Algorithm for Feed-Forward Neural Networks (2003, methodology): “shape optimization [18], automated mirror design [4], optimization of radial active magnetic bearings [22], optimization of fermentation using a high ethanol tolerance yeast [23], and mechanical engineering design [10].”
• GDE3: the third evolution step of generalized differential evolution (2005, methodology): “Some basic approaches just convert MOOPs to single-objective forms and use DE to solve these [3,5,36].”