Optimization of Fedbatch Culture of Hybridoma Cells using Genetic Algorithms

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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