Get Ready For Session 1

Advanced Methods for Bioprocess Modeling and Optimisation UPV, Valencia, Spain, 21 September 2006 INPL-ENSAIA, Nancy, France F. Fournier ([email protected])

Advanced Methods for Bioprocess Modeling and Optimisation International Seminar in Life Science

21 September 2006

Here is a (non exhaustive) list of references for those who would like to get further with some topics presented during this brief introduction to bioprocess modeling and optimisation.

1 Modeling 1.1 How to use models

Schuegerl K, Bellgardt K, 2000, Bioreaction Engineering, Modeling and Control. Berlin: Springer-Verlag Ramkrishna, D, 2003, On modeling of bioreactors for control. J. of Process Control, 13: 581-589

1.2 Bioprocess Models 1.2.1 Black box models Search on database using the following keywords : Regression, Least Squares (LS), Principal Component Analysis,… See also Artificial Neural Network Baughman, D. R.; Liu, Y. A., 1995, Neural Networks in Bioprocessing and Chemical Engineering; Academic Press: San Diego, CA. Bulsari, A. B. Neural Networks for Chemical Engineers; Elsevier: Amsterdam, 1995. 1.2.2 Knowledge models Coulson J.M and J.F. Richardson, 1994, Chemical & biochemical reactors & process control. Ed. by J.F. Richardson and D.G. Peacock, London: Pergamon Nielsen, J., Villadsen, J. and G. Lidén, 2002, Bioreaction Engineering Principles, 2nd Ed, Springer.

2 Bioprocess Optimisation 2.1 Methodology Experimental Design

Box G.E.P., Hunter, W.G., and J.S. Hunter, 1971, Statistics for Experimenters, John Wiley and Sons, New York. Victoria C.P. Chen, Kwok-Leung Tsui, Russell R. Barton and Janet K. Allen, 2003, A review of design and modeling in computer experiments. In: R. Khattree and C.R. Rao, Editor(s), Handbook of Statistics, Elsevier, Volume 22, Statistics in Industry, Pages 231-261. Identification

E. Walter and L. Pronzato, Identification of Parametric Models, Springer, London, 1997 INPL-ENSAIA, Nancy, France

F. Fournier ([email protected])

Advanced Methods for Bioprocess Modeling and Optimisation

UPV, Valencia, Spain, 21 September 2006

Optimisation

Fletcher R., 1980, Practical Methods for Optimization, Vol 1, Unconstrained optimization, John Wiley & Sons Ltd. Ray W.H. and J. Szekely, 1973, Process optimisation, John Wiley & Sons Ltd. Bryson, A.E., 1999, Dynamic optimization. Menlo Park, CA: Editorial Addison Wesley Longman Inc.

2.2 Evolutionary Algorithm Goldberg B., 1989, Genetic Algorithm, and Machine Learning. Addison-Wesley Publishing Company, Inc., Reading, MA. Baeck T., Hoffmeister F and H.P. Schwefel, 1991, A survey on evolution strategy. In International Conference on Genetic Algorithms, pp2-10, 13-16 July 1991.

2.3 Multicriteria Optimisation Updated list of references on Evolutionary Multiobjective Optimization from C. A. Coello Coello: http://www.lania.mx/~ccoello/EMOO/EMOObib.html

3 Advanced Modeling and Optimisation 3.1 How to improve the methodology Related research topics at ENSAIA, in French

Viennet R., 1997, Nouvelle méthodologie de planification expérimentale pour l’optimisation multicritère de procédés, PhD Thesis, INPL Nancy, France. Muniglia L., 2001, Elaboration d' une stratégie expérimentale multicritère appliqué à la conception optimale d' un procédé continu de production d' arômes laitiers, PhD Thesis, INPL Nancy, France Makhlouf. A., 2006, Méthodologie pour l’optimisation dynamique multicritère d’un procédé discontinu alimenté : application à la production bactérienne d’arômes laitiers, PhD Thesis, INPL Nancy, France

Recently published on Multicriteria Dynamic Optimisation:

D. Sarkar, J. M. Modak, 2005, Pareto-optimal solutions for multi-objective optimization of fed-batch bioreactors using nondominated sorting genetic algorithm, Chemical Engineering Science 60, pp481 – 492