Abstract
Optimizing a fed-batch fermentation of hybridoma cells using a GA is described in this chapter. Optimal single- and multi-feed rate trajectories are determined via the GA to maximize the final production of MAb. The results show that the optimal, varying, feed rate trajectories can significantly improve the final MAb concentration as compared to the optimal constant feed rate trajectory. Moreover, in comparison with DP, the GA- calculated feed trajectories yield a much higher level of MAb concentrations.
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© 2006 Springer
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(2006). Optimization of Fed-batch Culture of Hybridoma Cells using Genetic Algorithms. In: Modelling and Optimization of Biotechnological Processes. Studies in Computational Intelligence, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32493-5_2
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DOI: https://doi.org/10.1007/978-3-540-32493-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30634-4
Online ISBN: 978-3-540-32493-5
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