Evolutionary algorithms for optimal control in fed-batch fermentation processes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3005, Issue , 2004, Pages 84-93

  Rocha, Miguel ^a   Neves, José ^a   Rocha, Isabel ^a   Ferreira, Eugénio C ^a  

^a UNIVERSITY OF MINHO   (Portugal)

Author keywords

Bio engineering processes; Fed batch fermentation optimization; Real valued representations; Variable size chromosomes

Indexed keywords

ALGORITHMS; CHROMOSOMES; EVOLUTIONARY ALGORITHMS; PROCESS CONTROL;

BIO PHARMACEUTICALS; EVOLUTIONARY ALGORITHMS (EAS); FED-BATCH FERMENTATION; FED-BATCH FERMENTATION OPTIMIZATION; OPTIMAL FEEDFORWARD CONTROL; OPTIMIZATION PROCEDURES; REAL-VALUED REPRESENTATIONS; VARIABLE SIZE CHROMOSOMES;

FERMENTATION;

EID: 27144481879     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24653-4_9     Document Type: Article

References (14)

1. P. Angelov and R. Guthke. A Genetic-Algorithm-based Approach to Optimization of Bioprocesses Described by Fuzzy Rules. Bioprocess Engin., 16:299-303, 1997.
2. G. Bastin and D. Dochain. On-line Estimation and Adaptive Control of Bioreactors. Elsevier Science Publishers, Amsterdam, 1990.
3. A.E. Bryson and Y.C. Ho. Applied Optimal Control - Optimization, Estimation and Control. Hemisphere Publication Company, New York, 1975.
4. J.P. Chiou and F.S. Wang. Hybrid Method of Evolutionary Algorithms for Static and Dynamic Optimization Problems with Application to a Fed-batch Fermentation Process. Computers & Chemical Engineering, 23:1277-1291, 1999.
5. F. Herrera, M. Lozano, and J. Verdegay. Tackling Real-Coded GAs: Operators and Tools for Behavioral Analysis. Artif. Intel. Review, 12:265-319, 1998.
6. R. Marteijn, O. Jurrius, J. Dhont, C. de Gooijer, J. Tramper, and D. Martens. Optimization of a Feed Medium for Fed-Batch Culture of Insect Cells Using a Genetic Algorithm. Biotechnol Bioeng, 81:269-278, 2003.
7. Z. Michalewicz. Genetic Algorithms + Data Structures = Evolution Programs. Springer-Verlag, USA, third edition, 1996.
8. H. Moriyama and K. Shimizu. On-line Optimization of Culture Temperature for Ethanol Fermentation Using a GA. Journ. Chem. Tec. Biotec., 66:217-222, 1996.
9. I. Rocha. Model-based strategies for computer-aided operation of recombinant E. coli fermentation. PhD thesis, Universidade do Minho, 2003.
10. I. Rocha and E.G. Ferreira. On-line Simultaneous Monitoring of Glucose and Acetate with FIA During High Cell Density Fermentation of Recombinant E. coli. Analytica Chimica Acta, 462(2):293-304, 2002.
11. M. Rocha, P. Cortez, and J. Neves. Evolutionary Approaches to Neural Network Learning. In Proc. Portug. Conf. Artif. Intel-EPIA '2003. Springer, 2003.
12. J.A. Roubos, G. van Straten, and A.J. van Boxtel. An Evolutionary Strategy for Fed-batch Bioreactor Optimization: Concepts and Performance. Journal of Biotechnology, 67:173-187, 1999.
13. A. Tholudur and W.F. Ramirez. Optimization of Fed-batch Bioreactors Using Neural Network Parameters. Biotechnology Progress, 12:302-309, 1996.
14. V. van Breusegem and G. Bastin. Optimal Control of Biomass Growth in a Mixed Culture. Biotechnology and Bioengineering, 35:349-355, 1990.