Hybrid Differential Evolution for Problems of Kinetic Parameter Estimation and Dynamic Optimization of an Ethanol Fermentation Process

By Feng-Sheng Wang, Tzu-Liang Su, Horng-Jhy Jang. 2001

103 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f340ff354b377937a4f24c4c7efc0189e7e570a2

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. Carlos A. Cardona
2. Ó. Sánchez
3. Mangesh Kapadi
4. Ravindra D. Gudi
5. G. Mtui
6. M. Tayyab
7. J. Quintero
8. I. C. Paz

In Control and Systems Engineering

1. Mangesh Kapadi
2. Ó. Sánchez
3. Ravindra D. Gudi
4. Carlos A. Cardona

In Molecular Biology

1. I-Chun Chou
2. Carlos A. Cardona
3. Ó. Sánchez
4. Mangesh Kapadi
5. Ravindra D. Gudi
6. Eberhard O. Voit
7. G. Mtui
8. M. Tayyab

Citations in the corpus

• Recent Developments in Parameter Estimation and Structure Identification of Biochemical and Genomic Systems (2009, background): “fermentation [258]; (o) Circadian oscillations of period proteins in drosophila [259]; (p) Embryonic gene regulatory network in zebrafish [260].”
• Fuel ethanol production: process design trends and integration opportunities. (2007, methodology): “HDE has been also used for the estimation of kinetic parameters during batch culture for the mentioned yeast (Wang et al., 2001).”
• Optimal control of fed-batch fermentation involving multiple feeds using Differential Evolution (2004, methodology): “Wang et al. [17] have successfully applied hybrid Differential Evolution to estimate the kinetic model parameters of batch fermentation process.”